Extreme climate events(e.g.,heatwaves and droughts)are becoming increasingly frequent due to global climate change,which inevitably affects tree growth and various other ecological processes.While the impacts of droug...Extreme climate events(e.g.,heatwaves and droughts)are becoming increasingly frequent due to global climate change,which inevitably affects tree growth and various other ecological processes.While the impacts of droughts on these processes have been widely evaluated,the effects of heatwaves on tree growth and soil water content(SWC)remain poorly understood,particularly those related to thinning treatment.In this study,we evaluated the impacts of the 2021 Pacific Northwest Heatwave and thinning on forest growth and SWC,as well as assessed how thinning might mitigate the heatwave's impacts in lodgepole pine forests in British Columbia,Canada.We measured meteorological data(air temperature,rainfall,solar radiation(SR),relative humidity(RH),and wind speed(W_(s)),sap flow,SWC,soil temperature(T_(s)),and tree diameters at the breast height(DBH)during the growing season(June–September)in the control(27,000 stems·ha^(-1)),lightly thinned(4,500 stems·ha^(-1)),and heavily thinned(1,100 stems·ha^(-1))experimental plots from 2018 to 2024.We found that thinning persistently and significantly(p<0.05)increased individual tree growth,with the most pronounced effects in the heavily thinned stands.The 2021 Pacific Northwest Heatwave led to an exceptionally hot growing season,significantly(p<0.05)reducing forest growth and SWC across all plots.Forest growth recovered in 2022 in the thinned plots but remained suppressed in the unthinned plots,suggesting that thinning effectively mitigated the impact of the heatwave on forest growth,while the heatwave's impacts were persistent in the unthinned plots.Our study highlights that thinning is a practical management strategy for improving tree growth and supporting climate change adaptation to extreme climate events.展开更多
Pinus radiata(D.Don)dominates New Zealand's forestry industry,constituting 91%of plantations,and is among the world's most important plantation species.Given the socio-economic and environmental importance of ...Pinus radiata(D.Don)dominates New Zealand's forestry industry,constituting 91%of plantations,and is among the world's most important plantation species.Given the socio-economic and environmental importance of this species,it is important to have accurate and precise projections over time to make efficient decisions for forest management and greenfield investments in afforestation projects,especially for permanent carbon forests.Future projections of any natural resource systems rely on modeling;however,the acceleration of climate change makes future projections of yield less certain.These challenges also impact national expectations of the contribution planted forests will provide to address climate change and meet international commitments under the Paris Agreement.Using a large national-scale set of contemporary ground-measured data(2013–2023),this study investigates the performance of two growth models developed over 30 years ago that are widely used by NZ plantation growers:1)the Pumice Plateau Model 1988(PPM88)and 2)the 300-index(including a model variant of regional drift).Model simulations were made using the FORECASTER modeling suite with geographic boundaries to adjust for drift in space and time.Basal area(BA,m^(2)⋅ha^(-1))and volume(m^(3)⋅ha^(-1))were simulated,and standard errors and goodness-of-fit metrics calculated up to a typical rotation age of 30 years.Model residuals were then separated and analysed for the main plantation growing regions.The models overpredicted observed growth by between 6.8%and 16.2%,but model predictions and errors varied significantly between regions.The results of this study provided clear evidence of divergence between the outputs of both models and the measured data.Finally,this study suggests future measures to address challenges posed by these discrepancies that will provide better information for forest management and investment decisions in a changing climate.展开更多
This study investigated biomass allocation in young stands of European beech(Fagus sylvatica L.)and Norway spruce(Picea abies(L.)Karst.)across 31 forest sites in the Western Carpathians,Slovakia.A total of 541 trees a...This study investigated biomass allocation in young stands of European beech(Fagus sylvatica L.)and Norway spruce(Picea abies(L.)Karst.)across 31 forest sites in the Western Carpathians,Slovakia.A total of 541 trees aged 2–10 years,originating from natural regeneration and planting,were destructively sampled to quantify biomass in four components:foliage,branches,stems,and roots.Generalized non-linear least squares(GNLS)models with a weighing variance function outperformed log-transformed seemingly unrelated regression(SUR)models in terms of accuracy and robustness,especially for foliage and branch biomass.When using height as the predictor,SUR models tended to underestimate biomass in planted beech,leading to notable underprediction of aboveground and total biomass.Biomass allocation patterns varied significantly by species and regeneration origin.Using a non-linear system of equations and component ratio modelling,we found out that planted spruce displayed low variability and a consistent dominance of needle biomass,while naturally regenerated beech showed greater variability and a higher proportion of stem biomass,reflecting stronger competition-driven vertical growth.Interspecific differences in total biomass were more pronounced when using tree height,with spruce generally exhibiting greater biomass than beech at equivalent heights.Overall,stem base diameter marginally outperformed tree height as a predictor of biomass.However,tree height-based models showed strong performance and are particularly suitable for integration with remote sensing applications.These findings can directly support forest managers and modellers in comparing regeneration methods and biomass estimation approaches for early-stage stand development,carbon accounting,and remote sensing calibration.展开更多
Non-structural carbohydrates(NSCs)are crucial for tree growth and survival under climatic stress,yet their spatial dynamics across broad climate gradients remain unclear.Pines(Pinus spp.),one of the most widely distri...Non-structural carbohydrates(NSCs)are crucial for tree growth and survival under climatic stress,yet their spatial dynamics across broad climate gradients remain unclear.Pines(Pinus spp.),one of the most widely distributed tree genera worldwide,provide an ideal system for investigating large-scale spatial patterns of NSC within a single genus along extensive climatic gradients.Here,we compiled a global NSC database for pines across 74 sites,and assessed the spatial variation in total NSC,starch(St),and soluble sugars(SS)concentrations in stem sapwood,the primary reserve tissue,along site-specific mean annual temperature(MAT)and precipitation(MAP).Our results show that MAP exerted a stronger influence(R^(2)=20%–47%)on the spatial variation in total NSC and its components than did MAT(R^(2)=6%–16%).Tota concentrations declined nonlinearly with increasing MAP,with the rate of decline slowing beyond approximately 800 mm.While MAT had weaker effects on total NSC concentrations,both MAT and MAP jointly regulated NSC partitioning:Higher MAT and MAP were associated with reduced St concentrations but elevated SS concentrations and SS:St ratios.These findings suggest that pine species in cold and arid environments prioritize storing NSC as St,whereas in relatively warm and humid environments,NSC are preferentially mobilized into SS to support immediate metabolic and growth demands.展开更多
Accurate prediction of xylem phenology is essential for evaluating the long-term impacts of climate change on carbon sequestration,forest productivity,and ecosystem resilience.However,the environmental controls on xyl...Accurate prediction of xylem phenology is essential for evaluating the long-term impacts of climate change on carbon sequestration,forest productivity,and ecosystem resilience.However,the environmental controls on xylem phenology remain poorly clarified in terms of quantification,particularly for broadleaf species and the process of growth cessation.In this study,we monitored the onset and cessation of wood formation in 19 temperate tree species over periods of up to six years(2019–2024,with observation length varying among species)to assess the impact of environmental changes on the timing of wood formation.Linear mixed-effects models were used to evaluate and quantify the relative importance of photoperiod,forcing,chilling,precipitation,SPEI(standardized precipitation-evapotranspiration index),cold degree days,and MAT(mean annual temperature)to the onset and cessation of wood formation.Photoperiod and forcing temperature were identified as the key drivers of wood formation onset,while photoperiod was the primary factor regulating its cessation.Wood formation onset was less sensitive to photoperiod compared with cessation,but exhibited greater sensitivity to temperature.Conifers were more responsive to changes in day length at onset than broadleaf species,while broadleaf species appeared to rely solely on photoperiod to regulate the cessation,with conifers showing additional modulation by temperature.Moreover,ring-porous species exhibited stronger photoperiodic control of both onset and cessation than diffuse-porous species.These findings highlight the critical role of photoperiod,temperature,or their interactions in regulating xylem phenology,providing insights for improving process-based models that predict xylem growth dynamics.展开更多
Old-growth forests uniquely support biodiversity while serving as some of the planet's most important carbon stocks.The influence of tree and stand age on carbon flux dynamics remains debated—an urgent question a...Old-growth forests uniquely support biodiversity while serving as some of the planet's most important carbon stocks.The influence of tree and stand age on carbon flux dynamics remains debated—an urgent question as climate-driven disturbances may reshape forest age structures and in situ carbon storage.To clarify these relationships in Fagus sylvatica,systems,we examined a unique dataset of 3,503 tree ring series from 190 plots across some of the best preserved old-growth forests from five southern European countries.By employing a dendrochronological approach and integrating key environmental variables,including elevation,slope,temperature,and the presence of large-diameter trees(≥60 cm),we analyzed the complex relationships between tree/stand age within a plot(represented by plot-level mean values,hereafter“stand age”)and aboveground carbon stock across live,standing,and lying deadwood pools.The average stand age was 220 years,with 230 tC⋅ha^(-1) of carbon stored in aboveground biomass and necromass.We found a positive correlation between age and carbon storage at both the individual tree and plot levels.Notably,the presence of large-diameter trees was the strongest indicator of carbon stock,with carbon accumulation peaking at about 30%large-tree stems proportion before stabilising,while younger beech trees(below 100 years old)had a smaller contribution to carbon storage.We found no evidence of a decline in carbon stock with advancing stand age across the studied sites.Despite the ecological importance of old-growth forests,many of them remain unprotected and are disappearing across Europe.Our findings highlight the importance of preserving old-growth forests to maximize their role as long-term ecosystem carbon reservoirs.展开更多
Understory plants are an integral part of forests,serving a variety of functions that help maintain healthy ecosystems.The structure and composition of the understory are influenced by numerous biotic and abiotic fact...Understory plants are an integral part of forests,serving a variety of functions that help maintain healthy ecosystems.The structure and composition of the understory are influenced by numerous biotic and abiotic factors,with light being critical.The introduction of the pathogen Cronartium ribicola,which causes white pine blister rust,into North America in the early 20 th century led to the near total loss of western white pine(Pinus monticola)from moist forests of the Northern Rockies.Management is reintroducing blister rust-resistant western white pine across the landscape,but the effects on the understory are unknown.We examined the effects of stand structure and proportion of western white pine in the overstory on understory diversity of vascular plants in closed canopy stands dominated by blister rust-resistant western white pine across northern Idaho.Habitat series explained the greatest amount of variation(34%)in species presence-absence,while canopy cover accounted for 25%,basal area of all trees for 18%,and the proportion of western white pine composition by 14%.Our analysis revealed positive relationships between the proportion of western white pine in the overstory and both the presence of understory plants and the cover of several understory species.For both the presence and cover,separate sets of thirteen species were found to have a positive relationship with the proportion of western white pine in the overstory,with eight species in common.This research fills a knowledge gap by using data from a range of stands across northern Idaho with varying abundance of western white pine in the overstory to evaluate the relationship between the understory and overstory composition.As land managers plant more western white pine trees,we are likely to see the concomitant increase in understory plant diversity across the landscape,in addition to numerous other benefits,including disturbance resistance and resilience.展开更多
Understanding the patterns and drivers of biomass allocation among organs at a broad scale is crucial for predicting the responses of plant growth and carbon sequestration to environmental change.However,the extent to...Understanding the patterns and drivers of biomass allocation among organs at a broad scale is crucial for predicting the responses of plant growth and carbon sequestration to environmental change.However,the extent to which the general rules govern these patterns and the key factors affecting biomass allocation remain poorly understood.Using a global dataset of 239 tree species,we tested the two prevailing theories(i.e.,the allometric partitioning theory(APT)and the optimal partitioning theory(OPT))by investigating the scaling relationships between plant organs and how environmental factors and phylogeny shape the patterns of biomass allocation.Our results generally support APT at the global scale,with variations in biomass allocation patterns explained by OPT.As plant size increased,a significant shift in biomass allocation from leaves to roots and stems,as well as from roots to stems,was observed.Specific environmental factors(including temperature,precipitation variables,and soil properties)significantly influenced biomass allocation with distinct patterns in the angiosperms and gymnosperms,even when the allometric effects were taken into account.We conclude that tree biomass allocation among organs(i.e.,the ratios of leaf to stem,leaf to root,stem to root,and aboveground to belowground)is governed by allometry but modulated by optimization at the global scale.Our findings highlight the importance of considering both the ontogenetic and environmental effects in predicting the responses of biomass sequestration to phylogenetic and environmental factors.展开更多
When making assessments of forest resources,there is nearly ubiquitous interest in quantifying current status and trends in tree biomass and carbon stocks.While important at various spatial scales,typical estimations ...When making assessments of forest resources,there is nearly ubiquitous interest in quantifying current status and trends in tree biomass and carbon stocks.While important at various spatial scales,typical estimations pertinent to broad forest management and policy issues are conducted for large areas such as state,regional,and national perspectives.These assessments are usually accomplished using large-area forest inventory data collected by National Forest Inventory(NFI)programs.While NFI efforts commonly collect size data for individual trees,there is often limited information for tree seedlings,e.g.,frequency by species.To fully describe the tree population across the entire range of sizes present,this study proposes methods to predict individual seedling groundline diameter and height using models developed from trees having a diameter at breast height(DBH)less than 7.62 cm.These attributes are subsequently used for the prediction of seedling stem volume,total aboveground biomass,and carbon content.The results suggest a smooth transition in tree attributes as size increases to where direct measurement of individual trees and prediction of their volume,biomass,and carbon are implemented as part of standard inventory protocols.Analyses including the full spectrum of tree sizes show that seedlings contribute roughly 0.6%–0.7%of the total tree volume/mass.This additional suite of information provides opportunities for more holistic assessments across the full spectrum of the tree resource or for specialized subdomains that include the seedling component.展开更多
Temperate forests are vital for maintaining ecological security and regulating the global climate.Despite considerable controversy surrounding the biophysical impacts of temperate forests on mid-latitude temperatures,...Temperate forests are vital for maintaining ecological security and regulating the global climate.Despite considerable controversy surrounding the biophysical impacts of temperate forests on mid-latitude temperatures,we analyzed the effects of forest cover change on local temperature using the Weather Research and Forecasting(WRF)model from 2010 to 2020 in the Greater and Lesser Khingan Mountains(GLKM),Northeastern China,and explored the related driving factors.The conversions between forest and open lands(i.e.,cropland and grassland)were predominant.During the growing season,the conversion of cropland and grassland to forest resulted in warming(0.38±0.10 and 0.41±0.09℃,respectively)in air temperature(Ta),while the reverse conversion caused cooling(-0.31 peratur±0.08 and e-0.24±0.07℃,respectively),which was less than the changes observed in land surface tem(LST).Conversion of forest to impervious land caused warming(1.16 the±0.11℃),and opposite conversion resulted in cooling(can-0.88 t±0.17℃).These results indicate that radiative effects like albedo and net radiation drive the signifi net warming effect from afforestation on open lands within the temperate forest ecoregion.Conversely,conversion to impervious land produced the most substantial net warming impacts,driven by non-radiative effects like sensible heat,latent heat,and ground heat flux(GH).In these conversions,temperature can indirectly influence precipitation(Pre)through vapor pressure deficit(VPD),and Pre can also indirectly affect temperature via evapotranspiration(ET).This study highlights the need to thoroughly understand the impacts of afforestation in temperate forests while avoiding deforestation to regulate the climate effectively.展开更多
Forests are experiencing more frequent and intense wildfires in Canada,which pose considerable threats to water quantity and quality,particularly during the summer low-flow period when water demand is high.While the i...Forests are experiencing more frequent and intense wildfires in Canada,which pose considerable threats to water quantity and quality,particularly during the summer low-flow period when water demand is high.While the impacts of wildfire on hydrology have been widely assessed at the watershed scale,the underlying mechanisms of the responses of summer low flows remain poorly understood.In this study,we employed an integrated research framework that combines hydrometric monitoring with geochemical tracing to evaluate how the 2021 White Rock Lake Wildfire affected summer low flows,and to identify the underlying mechanisms governing these responses in the Okanagan Valley,British Columbia(BC),Canada.We found that(1)summer low flows,represented by Q90(flows exceeded at 90%of the time in summer)significantly increased following the wildfire(p<0.05);(2)summer low flows were primarily regulated by snow water in early summer(July),while dominated by groundwater in late summer(August and September);and(3)enhanced snow water contribution and reduced evapotranspiration(ET)were two primary contributors to the increased summer low flows.Our results provide insights for developing sustainable water management strategies for the region in the context of climate change and increasing forest disturbance.This study also demonstrates that the combination of hydrometric monitoring and geochemical tracing is an effective approach towards uncovering mechanisms that drive low-flow responses.展开更多
Understanding how genetic variation within forest species influences growth responses under climate change is essential for improving the accuracy of forest models and guiding adaptive management strategies.This study...Understanding how genetic variation within forest species influences growth responses under climate change is essential for improving the accuracy of forest models and guiding adaptive management strategies.This study models the dynamics of Italian silver fir(Abies alba)forests under varying climate change scenarios using the forest gap model FORMIND.Focusing on three distinct silver fir provenances(Western Alps,Northern Apennines,and Southern Apennines),the study simulates forest growth in the Tuscan-Emilian Apennine National Park under different representative concentration pathways(RCPs).The individual-based model FORMIND was parameterized and validated with field data for each of the provenances,demonstrating its ability to accurately reproduce key forest metrics and dynamics.Our results reveal significant differences in expected growth patterns,productivity,metabolism,and carbon storage capacity among the silver fir provenances in pure and mixed stands.In the simulations,the Northern Apennines provenance showed higher biomass production(biomass>10%±1%)and carbon uptake(net primary productivity,NPP>8%±1%)at the end of the century compared to the Western Alps provenance in the pure provenance(PP)and no regeneration scenario.Conversely,the Southern Apennines provenance showed higher biomass(biomass>5%–10%)and NPP(>15%–18%)in mixed provenance(MP)and regeneration scenarios.These results show that genetic diversity strongly affects forest growth and resilience to environmental changes.Hence,it should be included as a predictor variable in forest models.The study also demonstrates the resilience of silver fir to climatic stressors,emphasizing its potential as a robust species in multiple forest contexts.The integration of forest provenance data into the FORMIND model represents a significant advancement in forest modelling,enabling more accurate and reliable predictions under climate change scenarios.The study's findings advocate for a greater understanding and consideration of genetic diversity in forest management and conservation strategies,in support of assisted migration strategies aiming to enhance the resilience of forest ecosystems in a changing climate.展开更多
Understory bryophytes play unique and disproportionately important roles in water retention,biogeochemical cycling,and biodiversity conservation,and serve as bioindicators of environmental health in forest ecosystems....Understory bryophytes play unique and disproportionately important roles in water retention,biogeochemical cycling,and biodiversity conservation,and serve as bioindicators of environmental health in forest ecosystems.However,biogeographical research on the biomass of forest bryophytes is inadequately studied and has been limited to elevational gradients.We conducted a systematic cross-regional survey of bryophyte biomass across 413 forest sites in Sichuan Province,China.We analyzed how each environmental variable,including climatic and atmospheric factors,overstory covers,and soil nutrients,relates to bryophyte biomass and quantified their relative contributions.The results indicate that,largely similar to previous local investigations and experiments,at a large scale,bryophytes are abundant in forests with lower temperature,nitrogen deposition,vapor pressure deficit,and tree and herb covers,as well as higher light availability.Moreover,bryophyte biomass is positively associated with soil carbon and nitrogen content.These environmental variables are closely related and jointly influence bryophyte biomass,with mean annual temperature being the most significant factor(accounting for 83%of the relative contribution).The biogeographical patterns of bryophyte biomass contribute to deepening our understanding of their adaptations to multiple environmental variables and enable us to predict their responses to global climate change.These patterns also provide essential evidence for establishing more accurate terrestrial vegetation ecosystem models.展开更多
Intra-annual climatic variability plays a critical role in regulating wood formation dynamics during the growing season,particularly in seasonally arid regions—such as the Qinling Mountains,China,and Mediterranean fo...Intra-annual climatic variability plays a critical role in regulating wood formation dynamics during the growing season,particularly in seasonally arid regions—such as the Qinling Mountains,China,and Mediterranean forests—where trees exhibit bimodal radial growth patterns as an adaptive response to water stress.While these growth patterns reflect immediate climatic conditions,the role of ecological memory,specifically vegetation growth carryover(VGC)and lagged climate effects(LCEs),remains poorly quantified.We employed the Vaganov–Shashkin(VS)model to analyze intra-annual bimodal growth patterns in two regions and used a vector autoregressive model with impulse response functions to assess the duration and intensity of VGC and LCE on tree-ring growth and remote sensing vegetation indices(leaf area index(LAI)and gross primary productivity(GPP)).Our results revealed bimodal growth patterns with spring and autumn peaks,but the autumn peak occurred earlier in the Qinling Mountains(August–October)than in Mediterranean forests(late September–October).VGC exerted the strongest influence on tree-ring growth in the first year,diminishing significantly after eight years in both regions(p<0.01).Tree-ring growth exhibited positive LCE responses to precipitation and soil moisture but negative responses to temperature(p<0.05).Remote sensing indices(LAI and GPP)displayed stronger VGC effects in the Qinling Mountains than in Mediterranean forests.While both LAI and GPP responded positively to soil moisture,temperature-induced LCE was positive in the Qinling Mountains but negative in the Mediterranean forests(p<0.05).Overall,VGC was the dominant ecological memory effect in both regions.Our results suggest that coupling the VGC and LCE of multiple vegetation growth indicators at multiple scales has the potential to improve the accuracy of global dynamic vegetation models.展开更多
Non-native plants are increasingly recognized as ecosystem engineers across a wide range of ecosystems.While their impacts on understory composition have been widely documented,consequences for community assembly rema...Non-native plants are increasingly recognized as ecosystem engineers across a wide range of ecosystems.While their impacts on understory composition have been widely documented,consequences for community assembly remain largely unexplored.We investigated the engineering impacts of Sorbaria sorbifolia,a naturalized Rosaceae shrub,on abiotic conditions and understory community assembly in Central European forests.Across 60 plots spanning coniferous and deciduous stands,we quantified light availability,organic layer C/N ratio and thickness,and understory functional diversity along an invasion gradient.Using ordination and linear regression,we found that increasing S.sorbifolia cover reduced light availability,thickened the organic layer,and altered C/N ratio in contrasting,forest-type-specific ways.In coniferous stands,invasion increased C/N and strongly suppressed understory light,whereas in deciduous stands it reduced C/N with weaker shading effects.These changes translate into consistent declines in functional richness and dispersion,particularly in coniferous forests where invasion led to homogenization of the understory.Trait shifts indicated stronger habitat filtering under invasion,with declines in specific leaf area(SLA)and increases in leaf dry matter content and seed mass,reflecting exclusion of light-demanding species and persistence of stress-tolerant taxa and woody seedlings.Remarkably,once S.sorbifolia exceeded~50%cover,positive relationships between habitat properties and understory functional diversity collapsed,replaced by uniform light limitation.This threshold effect highlights S.sorbifolia as an ecosystem engineer,capable of transforming forest structure and regeneration trajectories.Early detection and management are therefore crucial to prevent long-term homogenization and the formation of novel,invasion-driven forest states.展开更多
Understanding the relative contributions of transpiration(T)and evaporation(E)to evapotranspiration(ET)is critical for evaluating water use efficiency,ecosystem productivity,and soil–plant–atmosphere interactions in...Understanding the relative contributions of transpiration(T)and evaporation(E)to evapotranspiration(ET)is critical for evaluating water use efficiency,ecosystem productivity,and soil–plant–atmosphere interactions in a changing environment.However,such partitioning and its responses to dry,normal,and wet conditions,as well as the controlling factors at multiple temporal scales,remain poorly understood in China's boreal forests,characterized by synchronization of water supply and energy demand.In this study,we used 8 years of ET data from the growing season(GS;May–September)collected via the eddy-covariance system and applied the underlying water use efficiency(uWUE)method to estimate T and E in a boreal larch forest in China.Our results revealed that E was the dominant component of ET.Specifically,T accounted for 0.44 of ET(T/ET),whereas E contributed to 0.56 of ET(E/ET)over the study period.The response of T/ET to dry conditions during the leaf defoliation stage(LDS)was more pronounced than during the leaf expansion stage(LES).Despite an increase in T/ET(reaching 0.49)during the dry season compared to the normal season(0.42),E was still the dominant contributor to ET.Furthermore,E/ET was significantly controlled by vapor pressure deficit(VPD)across daily to GS scales.Interestingly,soil water content(SWC)was not a controlling factor for regulating E/ET,indicating that atmospheric forces strongly constrained the variability of E/ET in this boreal forest.These findings highlight that E should be given greater attention in boreal forests than before.Our study suggests that effective management strategies for improving water use efficiency in such forest ecosystems are urgently needed.展开更多
Xylogenesis,the process through which wood cells are formed,results in the long-term storage of carbon in woody biomass,making it a key component of the global carbon cycle.Understanding how environmental drivers infl...Xylogenesis,the process through which wood cells are formed,results in the long-term storage of carbon in woody biomass,making it a key component of the global carbon cycle.Understanding how environmental drivers influence xylogenesis during the growing season is therefore of great interest.However,studying shortterm drivers of wood production using xylogenetic data is complicated by the usual sampling scheme and the influence of eccentric growth,i.e.,heterogeneous growth around the stem.In this study,we improve xylogenesis research by introducing a statistical approach that explicitly considers seasonal phenology,short-term growth rates,and growth eccentricity.To this end,we developed Bayesian models of xylogenesis and compared them with a conventional method based on the use of Gompertz functions.Our results show that eccentricity generated high temporal autocorrelation between successive samples,and that explicitly taking it into account improved both the representativeness of phenology and intra-ring variability.We observed consistent short-term patterns in the model residuals,suggesting the influence of an unaccounted-for environmental variable on cell production.The proposed models offer several advantages over traditional methods,including robust confidence intervals around predictions,consistency with phenology,and reduced sensitivity to extreme observations at the end of the growing season,often linked to eccentric growth.These models also provide a benchmark for mechanistic testing of short-term drivers of wood formation.展开更多
This study explores the motivations,perceived benefits,and challenges associated with the adoption of clearcutfree forestry by early adopters among non-industrial private forest(NIPF)owners in southern-central Sweden....This study explores the motivations,perceived benefits,and challenges associated with the adoption of clearcutfree forestry by early adopters among non-industrial private forest(NIPF)owners in southern-central Sweden.Clearcut-free forestry,characterized by continuous tree cover and an emphasis on biodiversity,structural diversity,and ecosystem services(ES),is increasingly seen as a sustainable alternative to conventional intensive management based on short rotations and clear-cutting practices.Based on qualitative interviews with 22 NIPF owners who have adopted this approach,the study provides insights into how these early adopters perceive the value of clearcut-free forestry.Reported motivations include environmental concerns,such as biodiversity conservation and climate resilience,as well as strong socio-cultural values linked to family traditions,aesthetic preferences,and community wellbeing.In this study,we use the multi-level perspective(MLP)framework to conceptualize NIPF owners who have adopted clearcut-free forestry as niche actors and analyze their potential contribution to the emergence of an alternative forest management regime.The findings highlight that early adopters associate multiple benefits with clearcut-free forestry,encompassing enhanced ecosystem services such as carbon sequestration,water regulation,habitat preservation,and socio-cultural enrichment through recreation and relational values.However,the interviewees identify several interrelated challenges,including knowledge gaps,lack of clear definitions and standardized practices,limited advisory services,underdeveloped value chains for high-quality timber,and market barriers,which hinder more widespread adoption.Within the multi-level perspective,owner perceptions linking clearcut-free management with improved forest multifunctionality serve as a key driver of niche-level experimentation.This suggests an alignment between these owners and evolving societal demands for more inclusive,sustainable,and diversified forest use.Policy recommendations include targeted investments in knowledge co-production,infrastructure,market incentives,and certification schemes to support the economic viability and broader adoption of clearcut-free forestry.展开更多
Forest ecosystems are increasingly susceptible to droughts and nitrogen(N)deposition.However,the effects of N addition on the growth of bamboo under drought stress remain unclear.This study conducted a comprehensive f...Forest ecosystems are increasingly susceptible to droughts and nitrogen(N)deposition.However,the effects of N addition on the growth of bamboo under drought stress remain unclear.This study conducted a comprehensive factorial experiment to investigate the combined effects of drought and N addition on the growth of Moso bamboo(Phyllostachys edulis)seedlings.Six treatment combinations were established:0 mg·kg^(-1) N with 80%–85%field capacity(FC)soil moisture,0 mg·kg^(-1) N with 50%–55%FC,0 mg·kg^(-1) N with 30%–35%FC,100 mg·kg^(-1) N with 80%–85%FC,100 mg·kg^(-1) N with 50%–55%FC,and 100 mg·kg^(-1) N with 30%–35%FC.The results revealed that drought altered the soil microbial community structure and significantly reduced the biomass of Moso bamboo seedlings.Notably,N addition mitigated the adverse effects of drought on bamboo growth in general.Specifically,N addition alleviated the negative effects of drought on root biomass but aggravated them on leaf biomass of Moso bamboo seedlings,and with the intensification of drought stress,this effect was weakened.Furthermore,sucrose and urease exerted dominant and direct influences on the total biomass.The results underscore the pivotal role of N in facilitating plant drought tolerance,suggesting that the interplay between drought and N addition in plant growth should be considered in the context of changing environmental conditions,and offering novel perspectives on sustainable management strategies for bamboo forests.展开更多
Remote sensing plays a pivotal role in forest inventory by enabling efficient large-scale monitoring while minimizing fieldwork costs.However,missing values pose a critical challenge in remote sensing applications,as ...Remote sensing plays a pivotal role in forest inventory by enabling efficient large-scale monitoring while minimizing fieldwork costs.However,missing values pose a critical challenge in remote sensing applications,as ignoring or mishandling such data gaps can introduce systematic bias into the estimation of target variables for natural resource monitoring.This can lead to cascading errors that propagate through forest and ecosystem management decisions,ultimately hindering progress toward sustainable forest management,biodiversity conservation,and climate change mitigation strategies.This study aims to propose and demonstrate a procedure that employs hybrid estimators to address the limitations of missing remotely sensed data in forest inventory,using Landsat 7 ETM+SLC-off data as an archived source for forest resource monitoring as a case in point.We compared forest inventory estimates from the hybrid estimator with those from a conventional model-based(CMB)estimator using Sentinel-2 data without missing values.Monte Carlo simulations revealed three key findings:(1)The hybrid estimator,leveraging missing-data remote sensing represented by Landsat 7 ETM+SLCoff data,achieved a sampling precision of over 90%,meeting China's national standard for the National Forest Inventory(NFI);(2)The hybrid estimator demonstrated comparable efficiency to the CMB estimator;(3)The uncertainty associated with hybrid estimators was primarily dominated by model parameter estimation,which could be effectively mitigated by slightly increasing the training sample size or refining model specification.Overall,in forest inventory,the hybrid estimator can surmount the limitations posed by missing values in remotely sensed auxiliary data,effectively balancing cost-effectiveness and flexibility.展开更多
基金supported by the British Columbia Ministry of Forces through long-term annual contracts with University of British Columbia(Okanagan)(No.RE25SIR242)the Natural Sciences and Engineering Research Council of Canada(NSERC),Discovery Grants Program(No.RGPIN-2021-02628)+1 种基金supported by the China Postdoctoral Science Foundation(No.2024M760387)Heilongjiang Postdoctoral Financial Assistance(No.LBH-Z24062)。
文摘Extreme climate events(e.g.,heatwaves and droughts)are becoming increasingly frequent due to global climate change,which inevitably affects tree growth and various other ecological processes.While the impacts of droughts on these processes have been widely evaluated,the effects of heatwaves on tree growth and soil water content(SWC)remain poorly understood,particularly those related to thinning treatment.In this study,we evaluated the impacts of the 2021 Pacific Northwest Heatwave and thinning on forest growth and SWC,as well as assessed how thinning might mitigate the heatwave's impacts in lodgepole pine forests in British Columbia,Canada.We measured meteorological data(air temperature,rainfall,solar radiation(SR),relative humidity(RH),and wind speed(W_(s)),sap flow,SWC,soil temperature(T_(s)),and tree diameters at the breast height(DBH)during the growing season(June–September)in the control(27,000 stems·ha^(-1)),lightly thinned(4,500 stems·ha^(-1)),and heavily thinned(1,100 stems·ha^(-1))experimental plots from 2018 to 2024.We found that thinning persistently and significantly(p<0.05)increased individual tree growth,with the most pronounced effects in the heavily thinned stands.The 2021 Pacific Northwest Heatwave led to an exceptionally hot growing season,significantly(p<0.05)reducing forest growth and SWC across all plots.Forest growth recovered in 2022 in the thinned plots but remained suppressed in the unthinned plots,suggesting that thinning effectively mitigated the impact of the heatwave on forest growth,while the heatwave's impacts were persistent in the unthinned plots.Our study highlights that thinning is a practical management strategy for improving tree growth and supporting climate change adaptation to extreme climate events.
基金funded by Scion's Strategic Science Investment Fund(SSIF)the Forest Growers Levy Trust(FGLT)through the Resilient Forests Programme(Task No.A89220)。
文摘Pinus radiata(D.Don)dominates New Zealand's forestry industry,constituting 91%of plantations,and is among the world's most important plantation species.Given the socio-economic and environmental importance of this species,it is important to have accurate and precise projections over time to make efficient decisions for forest management and greenfield investments in afforestation projects,especially for permanent carbon forests.Future projections of any natural resource systems rely on modeling;however,the acceleration of climate change makes future projections of yield less certain.These challenges also impact national expectations of the contribution planted forests will provide to address climate change and meet international commitments under the Paris Agreement.Using a large national-scale set of contemporary ground-measured data(2013–2023),this study investigates the performance of two growth models developed over 30 years ago that are widely used by NZ plantation growers:1)the Pumice Plateau Model 1988(PPM88)and 2)the 300-index(including a model variant of regional drift).Model simulations were made using the FORECASTER modeling suite with geographic boundaries to adjust for drift in space and time.Basal area(BA,m^(2)⋅ha^(-1))and volume(m^(3)⋅ha^(-1))were simulated,and standard errors and goodness-of-fit metrics calculated up to a typical rotation age of 30 years.Model residuals were then separated and analysed for the main plantation growing regions.The models overpredicted observed growth by between 6.8%and 16.2%,but model predictions and errors varied significantly between regions.The results of this study provided clear evidence of divergence between the outputs of both models and the measured data.Finally,this study suggests future measures to address challenges posed by these discrepancies that will provide better information for forest management and investment decisions in a changing climate.
基金funded by the grant“EVA4.0”,No.Z.02.1.01/0.0/0.0/16_019/0000803 supported by OP RDE as well as by the projects APVV-19-0387,APVV-22-0056,and APVV-23-0293 from the Slovak Research and Development Agencyco-funded by the European Commission under the Horizon Europe Teaming for Excellence action+1 种基金project Ligno Silvagrant agreement No.101059552。
文摘This study investigated biomass allocation in young stands of European beech(Fagus sylvatica L.)and Norway spruce(Picea abies(L.)Karst.)across 31 forest sites in the Western Carpathians,Slovakia.A total of 541 trees aged 2–10 years,originating from natural regeneration and planting,were destructively sampled to quantify biomass in four components:foliage,branches,stems,and roots.Generalized non-linear least squares(GNLS)models with a weighing variance function outperformed log-transformed seemingly unrelated regression(SUR)models in terms of accuracy and robustness,especially for foliage and branch biomass.When using height as the predictor,SUR models tended to underestimate biomass in planted beech,leading to notable underprediction of aboveground and total biomass.Biomass allocation patterns varied significantly by species and regeneration origin.Using a non-linear system of equations and component ratio modelling,we found out that planted spruce displayed low variability and a consistent dominance of needle biomass,while naturally regenerated beech showed greater variability and a higher proportion of stem biomass,reflecting stronger competition-driven vertical growth.Interspecific differences in total biomass were more pronounced when using tree height,with spruce generally exhibiting greater biomass than beech at equivalent heights.Overall,stem base diameter marginally outperformed tree height as a predictor of biomass.However,tree height-based models showed strong performance and are particularly suitable for integration with remote sensing applications.These findings can directly support forest managers and modellers in comparing regeneration methods and biomass estimation approaches for early-stage stand development,carbon accounting,and remote sensing calibration.
基金supported by the National Natural Science Foundation of China(Nos.42430503 and 42271048)the Hebei Natural Science Foundation(No.D2025205003)the Science Foundation of Hebei Normal University(No.L2025B31)。
文摘Non-structural carbohydrates(NSCs)are crucial for tree growth and survival under climatic stress,yet their spatial dynamics across broad climate gradients remain unclear.Pines(Pinus spp.),one of the most widely distributed tree genera worldwide,provide an ideal system for investigating large-scale spatial patterns of NSC within a single genus along extensive climatic gradients.Here,we compiled a global NSC database for pines across 74 sites,and assessed the spatial variation in total NSC,starch(St),and soluble sugars(SS)concentrations in stem sapwood,the primary reserve tissue,along site-specific mean annual temperature(MAT)and precipitation(MAP).Our results show that MAP exerted a stronger influence(R^(2)=20%–47%)on the spatial variation in total NSC and its components than did MAT(R^(2)=6%–16%).Tota concentrations declined nonlinearly with increasing MAP,with the rate of decline slowing beyond approximately 800 mm.While MAT had weaker effects on total NSC concentrations,both MAT and MAP jointly regulated NSC partitioning:Higher MAT and MAP were associated with reduced St concentrations but elevated SS concentrations and SS:St ratios.These findings suggest that pine species in cold and arid environments prioritize storing NSC as St,whereas in relatively warm and humid environments,NSC are preferentially mobilized into SS to support immediate metabolic and growth demands.
基金supported by the Ministry of Science and Technology(No:2019FY101602),China。
文摘Accurate prediction of xylem phenology is essential for evaluating the long-term impacts of climate change on carbon sequestration,forest productivity,and ecosystem resilience.However,the environmental controls on xylem phenology remain poorly clarified in terms of quantification,particularly for broadleaf species and the process of growth cessation.In this study,we monitored the onset and cessation of wood formation in 19 temperate tree species over periods of up to six years(2019–2024,with observation length varying among species)to assess the impact of environmental changes on the timing of wood formation.Linear mixed-effects models were used to evaluate and quantify the relative importance of photoperiod,forcing,chilling,precipitation,SPEI(standardized precipitation-evapotranspiration index),cold degree days,and MAT(mean annual temperature)to the onset and cessation of wood formation.Photoperiod and forcing temperature were identified as the key drivers of wood formation onset,while photoperiod was the primary factor regulating its cessation.Wood formation onset was less sensitive to photoperiod compared with cessation,but exhibited greater sensitivity to temperature.Conifers were more responsive to changes in day length at onset than broadleaf species,while broadleaf species appeared to rely solely on photoperiod to regulate the cessation,with conifers showing additional modulation by temperature.Moreover,ring-porous species exhibited stronger photoperiodic control of both onset and cessation than diffuse-porous species.These findings highlight the critical role of photoperiod,temperature,or their interactions in regulating xylem phenology,providing insights for improving process-based models that predict xylem growth dynamics.
基金supported by the Czech University of Life Sciences(Internal Grant Agency:A_12_24,43110/1312/3103,the Czech Science Foundation(Grant GACR No.21-27454S)Technology Agency of the Czech Republic(TACR No.SS06010420)+2 种基金provided by the CLIMB-FOREST project(No.101060554)project FORbEST(No.101181878)funded under the Horizon Europe Framework Programme。
文摘Old-growth forests uniquely support biodiversity while serving as some of the planet's most important carbon stocks.The influence of tree and stand age on carbon flux dynamics remains debated—an urgent question as climate-driven disturbances may reshape forest age structures and in situ carbon storage.To clarify these relationships in Fagus sylvatica,systems,we examined a unique dataset of 3,503 tree ring series from 190 plots across some of the best preserved old-growth forests from five southern European countries.By employing a dendrochronological approach and integrating key environmental variables,including elevation,slope,temperature,and the presence of large-diameter trees(≥60 cm),we analyzed the complex relationships between tree/stand age within a plot(represented by plot-level mean values,hereafter“stand age”)and aboveground carbon stock across live,standing,and lying deadwood pools.The average stand age was 220 years,with 230 tC⋅ha^(-1) of carbon stored in aboveground biomass and necromass.We found a positive correlation between age and carbon storage at both the individual tree and plot levels.Notably,the presence of large-diameter trees was the strongest indicator of carbon stock,with carbon accumulation peaking at about 30%large-tree stems proportion before stabilising,while younger beech trees(below 100 years old)had a smaller contribution to carbon storage.We found no evidence of a decline in carbon stock with advancing stand age across the studied sites.Despite the ecological importance of old-growth forests,many of them remain unprotected and are disappearing across Europe.Our findings highlight the importance of preserving old-growth forests to maximize their role as long-term ecosystem carbon reservoirs.
基金supported by the United States Department of Agriculture,Forest Service,Rocky Mountain Research Station through Research Joint Venture Agreement 17–098Funding was provided by the USDA Forest Service Northern Region。
文摘Understory plants are an integral part of forests,serving a variety of functions that help maintain healthy ecosystems.The structure and composition of the understory are influenced by numerous biotic and abiotic factors,with light being critical.The introduction of the pathogen Cronartium ribicola,which causes white pine blister rust,into North America in the early 20 th century led to the near total loss of western white pine(Pinus monticola)from moist forests of the Northern Rockies.Management is reintroducing blister rust-resistant western white pine across the landscape,but the effects on the understory are unknown.We examined the effects of stand structure and proportion of western white pine in the overstory on understory diversity of vascular plants in closed canopy stands dominated by blister rust-resistant western white pine across northern Idaho.Habitat series explained the greatest amount of variation(34%)in species presence-absence,while canopy cover accounted for 25%,basal area of all trees for 18%,and the proportion of western white pine composition by 14%.Our analysis revealed positive relationships between the proportion of western white pine in the overstory and both the presence of understory plants and the cover of several understory species.For both the presence and cover,separate sets of thirteen species were found to have a positive relationship with the proportion of western white pine in the overstory,with eight species in common.This research fills a knowledge gap by using data from a range of stands across northern Idaho with varying abundance of western white pine in the overstory to evaluate the relationship between the understory and overstory composition.As land managers plant more western white pine trees,we are likely to see the concomitant increase in understory plant diversity across the landscape,in addition to numerous other benefits,including disturbance resistance and resilience.
基金supported by the China Postdoctoral Science Foundation(2023M733712)the National Natural Science Foundation of China(31971491,32571862 and 32571830)the Strategic Priority Research Program of the Chinese Academy of Sciences(A)。
文摘Understanding the patterns and drivers of biomass allocation among organs at a broad scale is crucial for predicting the responses of plant growth and carbon sequestration to environmental change.However,the extent to which the general rules govern these patterns and the key factors affecting biomass allocation remain poorly understood.Using a global dataset of 239 tree species,we tested the two prevailing theories(i.e.,the allometric partitioning theory(APT)and the optimal partitioning theory(OPT))by investigating the scaling relationships between plant organs and how environmental factors and phylogeny shape the patterns of biomass allocation.Our results generally support APT at the global scale,with variations in biomass allocation patterns explained by OPT.As plant size increased,a significant shift in biomass allocation from leaves to roots and stems,as well as from roots to stems,was observed.Specific environmental factors(including temperature,precipitation variables,and soil properties)significantly influenced biomass allocation with distinct patterns in the angiosperms and gymnosperms,even when the allometric effects were taken into account.We conclude that tree biomass allocation among organs(i.e.,the ratios of leaf to stem,leaf to root,stem to root,and aboveground to belowground)is governed by allometry but modulated by optimization at the global scale.Our findings highlight the importance of considering both the ontogenetic and environmental effects in predicting the responses of biomass sequestration to phylogenetic and environmental factors.
文摘When making assessments of forest resources,there is nearly ubiquitous interest in quantifying current status and trends in tree biomass and carbon stocks.While important at various spatial scales,typical estimations pertinent to broad forest management and policy issues are conducted for large areas such as state,regional,and national perspectives.These assessments are usually accomplished using large-area forest inventory data collected by National Forest Inventory(NFI)programs.While NFI efforts commonly collect size data for individual trees,there is often limited information for tree seedlings,e.g.,frequency by species.To fully describe the tree population across the entire range of sizes present,this study proposes methods to predict individual seedling groundline diameter and height using models developed from trees having a diameter at breast height(DBH)less than 7.62 cm.These attributes are subsequently used for the prediction of seedling stem volume,total aboveground biomass,and carbon content.The results suggest a smooth transition in tree attributes as size increases to where direct measurement of individual trees and prediction of their volume,biomass,and carbon are implemented as part of standard inventory protocols.Analyses including the full spectrum of tree sizes show that seedlings contribute roughly 0.6%–0.7%of the total tree volume/mass.This additional suite of information provides opportunities for more holistic assessments across the full spectrum of the tree resource or for specialized subdomains that include the seedling component.
基金funded or supported by the National Natural Science Foundation of China(Nos.32371878,32001251)the Natural Science Foundation of Jiangsu Province(No.BK20200781)+1 种基金the Youth Science and Technology Talent Lifting Project of Jiangsu Province(No.JSTJ-2024-324)the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)。
文摘Temperate forests are vital for maintaining ecological security and regulating the global climate.Despite considerable controversy surrounding the biophysical impacts of temperate forests on mid-latitude temperatures,we analyzed the effects of forest cover change on local temperature using the Weather Research and Forecasting(WRF)model from 2010 to 2020 in the Greater and Lesser Khingan Mountains(GLKM),Northeastern China,and explored the related driving factors.The conversions between forest and open lands(i.e.,cropland and grassland)were predominant.During the growing season,the conversion of cropland and grassland to forest resulted in warming(0.38±0.10 and 0.41±0.09℃,respectively)in air temperature(Ta),while the reverse conversion caused cooling(-0.31 peratur±0.08 and e-0.24±0.07℃,respectively),which was less than the changes observed in land surface tem(LST).Conversion of forest to impervious land caused warming(1.16 the±0.11℃),and opposite conversion resulted in cooling(can-0.88 t±0.17℃).These results indicate that radiative effects like albedo and net radiation drive the signifi net warming effect from afforestation on open lands within the temperate forest ecoregion.Conversely,conversion to impervious land produced the most substantial net warming impacts,driven by non-radiative effects like sensible heat,latent heat,and ground heat flux(GH).In these conversions,temperature can indirectly influence precipitation(Pre)through vapor pressure deficit(VPD),and Pre can also indirectly affect temperature via evapotranspiration(ET).This study highlights the need to thoroughly understand the impacts of afforestation in temperate forests while avoiding deforestation to regulate the climate effectively.
基金the China Scholarship Council(CSC)the Uplifting Reciprocal Research Scholarship Program for sponsoring Shixuan Lyu+1 种基金supported by MITACS Accelerate(No.IT39116)the Okanagan Basin Water Board water conservation and quality improvement grant program。
文摘Forests are experiencing more frequent and intense wildfires in Canada,which pose considerable threats to water quantity and quality,particularly during the summer low-flow period when water demand is high.While the impacts of wildfire on hydrology have been widely assessed at the watershed scale,the underlying mechanisms of the responses of summer low flows remain poorly understood.In this study,we employed an integrated research framework that combines hydrometric monitoring with geochemical tracing to evaluate how the 2021 White Rock Lake Wildfire affected summer low flows,and to identify the underlying mechanisms governing these responses in the Okanagan Valley,British Columbia(BC),Canada.We found that(1)summer low flows,represented by Q90(flows exceeded at 90%of the time in summer)significantly increased following the wildfire(p<0.05);(2)summer low flows were primarily regulated by snow water in early summer(July),while dominated by groundwater in late summer(August and September);and(3)enhanced snow water contribution and reduced evapotranspiration(ET)were two primary contributors to the increased summer low flows.Our results provide insights for developing sustainable water management strategies for the region in the context of climate change and increasing forest disturbance.This study also demonstrates that the combination of hydrometric monitoring and geochemical tracing is an effective approach towards uncovering mechanisms that drive low-flow responses.
基金the University of Milan for funding the“ProForesta”project through the 2020 Research Support Planthe“Ente Parco Nazionale dell'Appennino Tosco-Emiliano”for having financed the project“First urgent measures to promote the adaptation of the silver fir forests of the Tuscan-Emilian Apennine National Park to the effects of climate change”。
文摘Understanding how genetic variation within forest species influences growth responses under climate change is essential for improving the accuracy of forest models and guiding adaptive management strategies.This study models the dynamics of Italian silver fir(Abies alba)forests under varying climate change scenarios using the forest gap model FORMIND.Focusing on three distinct silver fir provenances(Western Alps,Northern Apennines,and Southern Apennines),the study simulates forest growth in the Tuscan-Emilian Apennine National Park under different representative concentration pathways(RCPs).The individual-based model FORMIND was parameterized and validated with field data for each of the provenances,demonstrating its ability to accurately reproduce key forest metrics and dynamics.Our results reveal significant differences in expected growth patterns,productivity,metabolism,and carbon storage capacity among the silver fir provenances in pure and mixed stands.In the simulations,the Northern Apennines provenance showed higher biomass production(biomass>10%±1%)and carbon uptake(net primary productivity,NPP>8%±1%)at the end of the century compared to the Western Alps provenance in the pure provenance(PP)and no regeneration scenario.Conversely,the Southern Apennines provenance showed higher biomass(biomass>5%–10%)and NPP(>15%–18%)in mixed provenance(MP)and regeneration scenarios.These results show that genetic diversity strongly affects forest growth and resilience to environmental changes.Hence,it should be included as a predictor variable in forest models.The study also demonstrates the resilience of silver fir to climatic stressors,emphasizing its potential as a robust species in multiple forest contexts.The integration of forest provenance data into the FORMIND model represents a significant advancement in forest modelling,enabling more accurate and reliable predictions under climate change scenarios.The study's findings advocate for a greater understanding and consideration of genetic diversity in forest management and conservation strategies,in support of assisted migration strategies aiming to enhance the resilience of forest ecosystems in a changing climate.
基金supported by the National Natural Science Foundation of China(No.31600316)the Sichuan Science and Technology Program(2023NSFSC0198)。
文摘Understory bryophytes play unique and disproportionately important roles in water retention,biogeochemical cycling,and biodiversity conservation,and serve as bioindicators of environmental health in forest ecosystems.However,biogeographical research on the biomass of forest bryophytes is inadequately studied and has been limited to elevational gradients.We conducted a systematic cross-regional survey of bryophyte biomass across 413 forest sites in Sichuan Province,China.We analyzed how each environmental variable,including climatic and atmospheric factors,overstory covers,and soil nutrients,relates to bryophyte biomass and quantified their relative contributions.The results indicate that,largely similar to previous local investigations and experiments,at a large scale,bryophytes are abundant in forests with lower temperature,nitrogen deposition,vapor pressure deficit,and tree and herb covers,as well as higher light availability.Moreover,bryophyte biomass is positively associated with soil carbon and nitrogen content.These environmental variables are closely related and jointly influence bryophyte biomass,with mean annual temperature being the most significant factor(accounting for 83%of the relative contribution).The biogeographical patterns of bryophyte biomass contribute to deepening our understanding of their adaptations to multiple environmental variables and enable us to predict their responses to global climate change.These patterns also provide essential evidence for establishing more accurate terrestrial vegetation ecosystem models.
基金supported by the National Natural Science Foundation of China(Nos.42277448,42330501,41971104,and 41807431)。
文摘Intra-annual climatic variability plays a critical role in regulating wood formation dynamics during the growing season,particularly in seasonally arid regions—such as the Qinling Mountains,China,and Mediterranean forests—where trees exhibit bimodal radial growth patterns as an adaptive response to water stress.While these growth patterns reflect immediate climatic conditions,the role of ecological memory,specifically vegetation growth carryover(VGC)and lagged climate effects(LCEs),remains poorly quantified.We employed the Vaganov–Shashkin(VS)model to analyze intra-annual bimodal growth patterns in two regions and used a vector autoregressive model with impulse response functions to assess the duration and intensity of VGC and LCE on tree-ring growth and remote sensing vegetation indices(leaf area index(LAI)and gross primary productivity(GPP)).Our results revealed bimodal growth patterns with spring and autumn peaks,but the autumn peak occurred earlier in the Qinling Mountains(August–October)than in Mediterranean forests(late September–October).VGC exerted the strongest influence on tree-ring growth in the first year,diminishing significantly after eight years in both regions(p<0.01).Tree-ring growth exhibited positive LCE responses to precipitation and soil moisture but negative responses to temperature(p<0.05).Remote sensing indices(LAI and GPP)displayed stronger VGC effects in the Qinling Mountains than in Mediterranean forests.While both LAI and GPP responded positively to soil moisture,temperature-induced LCE was positive in the Qinling Mountains but negative in the Mediterranean forests(p<0.05).Overall,VGC was the dominant ecological memory effect in both regions.Our results suggest that coupling the VGC and LCE of multiple vegetation growth indicators at multiple scales has the potential to improve the accuracy of global dynamic vegetation models.
文摘Non-native plants are increasingly recognized as ecosystem engineers across a wide range of ecosystems.While their impacts on understory composition have been widely documented,consequences for community assembly remain largely unexplored.We investigated the engineering impacts of Sorbaria sorbifolia,a naturalized Rosaceae shrub,on abiotic conditions and understory community assembly in Central European forests.Across 60 plots spanning coniferous and deciduous stands,we quantified light availability,organic layer C/N ratio and thickness,and understory functional diversity along an invasion gradient.Using ordination and linear regression,we found that increasing S.sorbifolia cover reduced light availability,thickened the organic layer,and altered C/N ratio in contrasting,forest-type-specific ways.In coniferous stands,invasion increased C/N and strongly suppressed understory light,whereas in deciduous stands it reduced C/N with weaker shading effects.These changes translate into consistent declines in functional richness and dispersion,particularly in coniferous forests where invasion led to homogenization of the understory.Trait shifts indicated stronger habitat filtering under invasion,with declines in specific leaf area(SLA)and increases in leaf dry matter content and seed mass,reflecting exclusion of light-demanding species and persistence of stress-tolerant taxa and woody seedlings.Remarkably,once S.sorbifolia exceeded~50%cover,positive relationships between habitat properties and understory functional diversity collapsed,replaced by uniform light limitation.This threshold effect highlights S.sorbifolia as an ecosystem engineer,capable of transforming forest structure and regeneration trajectories.Early detection and management are therefore crucial to prevent long-term homogenization and the formation of novel,invasion-driven forest states.
基金supported by the National Natural Science Foundation of China(No.32501743)the Postdoctoral Fellowship Program of CPSF(No.GZB20250475)+3 种基金the China Postdoctoral Science Foundation(No.2024M760387)the Heilongjiang Postdoctoral Financial Assistance(No.LBH-Z24062)the Key Research and Development Program(Innovation Hub)of Heilongjiang Province(No.JD24C002)the National Key Research and Development Program of China(No.2021YFD2200405)。
文摘Understanding the relative contributions of transpiration(T)and evaporation(E)to evapotranspiration(ET)is critical for evaluating water use efficiency,ecosystem productivity,and soil–plant–atmosphere interactions in a changing environment.However,such partitioning and its responses to dry,normal,and wet conditions,as well as the controlling factors at multiple temporal scales,remain poorly understood in China's boreal forests,characterized by synchronization of water supply and energy demand.In this study,we used 8 years of ET data from the growing season(GS;May–September)collected via the eddy-covariance system and applied the underlying water use efficiency(uWUE)method to estimate T and E in a boreal larch forest in China.Our results revealed that E was the dominant component of ET.Specifically,T accounted for 0.44 of ET(T/ET),whereas E contributed to 0.56 of ET(E/ET)over the study period.The response of T/ET to dry conditions during the leaf defoliation stage(LDS)was more pronounced than during the leaf expansion stage(LES).Despite an increase in T/ET(reaching 0.49)during the dry season compared to the normal season(0.42),E was still the dominant contributor to ET.Furthermore,E/ET was significantly controlled by vapor pressure deficit(VPD)across daily to GS scales.Interestingly,soil water content(SWC)was not a controlling factor for regulating E/ET,indicating that atmospheric forces strongly constrained the variability of E/ET in this boreal forest.These findings highlight that E should be given greater attention in boreal forests than before.Our study suggests that effective management strategies for improving water use efficiency in such forest ecosystems are urgently needed.
基金supported by the Discovery Grants program of the Natural Sciences and Engineering Research Council of Canada(No.RGPIN-2021-03553)the Canadian Research Chair in dendroecology and dendroclimatology(CRC-2021-00368)+3 种基金the Ministère des Ressources Naturelles et des Forèts(MRNF,Contract no.142332177-D)the Natural Sciences and Engineering Research Council of Canada(Alliance Grant No.ALLRP 557148-20,obtained in partnership with the MRNF and Resolute Forest Products)the Fonds de recherche du Qu ebec–Nature et technologies(Partnership Research Program on the Contribution of the Forestry Sector to Climate Change MitigationGrant No.2022-0FC-309064)。
文摘Xylogenesis,the process through which wood cells are formed,results in the long-term storage of carbon in woody biomass,making it a key component of the global carbon cycle.Understanding how environmental drivers influence xylogenesis during the growing season is therefore of great interest.However,studying shortterm drivers of wood production using xylogenetic data is complicated by the usual sampling scheme and the influence of eccentric growth,i.e.,heterogeneous growth around the stem.In this study,we improve xylogenesis research by introducing a statistical approach that explicitly considers seasonal phenology,short-term growth rates,and growth eccentricity.To this end,we developed Bayesian models of xylogenesis and compared them with a conventional method based on the use of Gompertz functions.Our results show that eccentricity generated high temporal autocorrelation between successive samples,and that explicitly taking it into account improved both the representativeness of phenology and intra-ring variability.We observed consistent short-term patterns in the model residuals,suggesting the influence of an unaccounted-for environmental variable on cell production.The proposed models offer several advantages over traditional methods,including robust confidence intervals around predictions,consistency with phenology,and reduced sensitivity to extreme observations at the end of the growing season,often linked to eccentric growth.These models also provide a benchmark for mechanistic testing of short-term drivers of wood formation.
基金financed by a grant from Mistra[DIA 2019/28]and from Formas via the National Research Programme on Climate(2021–00416)FORMAS,Grant Nos.2022-02146 and 2021–01067Swedish Environmental Protection Agency Research Grant No.2021–00040。
文摘This study explores the motivations,perceived benefits,and challenges associated with the adoption of clearcutfree forestry by early adopters among non-industrial private forest(NIPF)owners in southern-central Sweden.Clearcut-free forestry,characterized by continuous tree cover and an emphasis on biodiversity,structural diversity,and ecosystem services(ES),is increasingly seen as a sustainable alternative to conventional intensive management based on short rotations and clear-cutting practices.Based on qualitative interviews with 22 NIPF owners who have adopted this approach,the study provides insights into how these early adopters perceive the value of clearcut-free forestry.Reported motivations include environmental concerns,such as biodiversity conservation and climate resilience,as well as strong socio-cultural values linked to family traditions,aesthetic preferences,and community wellbeing.In this study,we use the multi-level perspective(MLP)framework to conceptualize NIPF owners who have adopted clearcut-free forestry as niche actors and analyze their potential contribution to the emergence of an alternative forest management regime.The findings highlight that early adopters associate multiple benefits with clearcut-free forestry,encompassing enhanced ecosystem services such as carbon sequestration,water regulation,habitat preservation,and socio-cultural enrichment through recreation and relational values.However,the interviewees identify several interrelated challenges,including knowledge gaps,lack of clear definitions and standardized practices,limited advisory services,underdeveloped value chains for high-quality timber,and market barriers,which hinder more widespread adoption.Within the multi-level perspective,owner perceptions linking clearcut-free management with improved forest multifunctionality serve as a key driver of niche-level experimentation.This suggests an alignment between these owners and evolving societal demands for more inclusive,sustainable,and diversified forest use.Policy recommendations include targeted investments in knowledge co-production,infrastructure,market incentives,and certification schemes to support the economic viability and broader adoption of clearcut-free forestry.
基金supported by the National Key Research and Development Program of China(No.2021YFD2200402)the Leading Goose Project from Zhejiang Department of Science and Technology(No.2023C02035)+1 种基金the Central Non-profit Research Institution(CAFYBB2025ZC006)the Fundamental Research Funds for the National Natural Science Foundation of China(No.32071756 and U24A20429)。
文摘Forest ecosystems are increasingly susceptible to droughts and nitrogen(N)deposition.However,the effects of N addition on the growth of bamboo under drought stress remain unclear.This study conducted a comprehensive factorial experiment to investigate the combined effects of drought and N addition on the growth of Moso bamboo(Phyllostachys edulis)seedlings.Six treatment combinations were established:0 mg·kg^(-1) N with 80%–85%field capacity(FC)soil moisture,0 mg·kg^(-1) N with 50%–55%FC,0 mg·kg^(-1) N with 30%–35%FC,100 mg·kg^(-1) N with 80%–85%FC,100 mg·kg^(-1) N with 50%–55%FC,and 100 mg·kg^(-1) N with 30%–35%FC.The results revealed that drought altered the soil microbial community structure and significantly reduced the biomass of Moso bamboo seedlings.Notably,N addition mitigated the adverse effects of drought on bamboo growth in general.Specifically,N addition alleviated the negative effects of drought on root biomass but aggravated them on leaf biomass of Moso bamboo seedlings,and with the intensification of drought stress,this effect was weakened.Furthermore,sucrose and urease exerted dominant and direct influences on the total biomass.The results underscore the pivotal role of N in facilitating plant drought tolerance,suggesting that the interplay between drought and N addition in plant growth should be considered in the context of changing environmental conditions,and offering novel perspectives on sustainable management strategies for bamboo forests.
基金supported by the National Key R&D Program of China(No.2023YFF1304002-05)the National Social Science Fund of China(No.22BTJ005)the National Natural Science Foundation of China(No.32572049)。
文摘Remote sensing plays a pivotal role in forest inventory by enabling efficient large-scale monitoring while minimizing fieldwork costs.However,missing values pose a critical challenge in remote sensing applications,as ignoring or mishandling such data gaps can introduce systematic bias into the estimation of target variables for natural resource monitoring.This can lead to cascading errors that propagate through forest and ecosystem management decisions,ultimately hindering progress toward sustainable forest management,biodiversity conservation,and climate change mitigation strategies.This study aims to propose and demonstrate a procedure that employs hybrid estimators to address the limitations of missing remotely sensed data in forest inventory,using Landsat 7 ETM+SLC-off data as an archived source for forest resource monitoring as a case in point.We compared forest inventory estimates from the hybrid estimator with those from a conventional model-based(CMB)estimator using Sentinel-2 data without missing values.Monte Carlo simulations revealed three key findings:(1)The hybrid estimator,leveraging missing-data remote sensing represented by Landsat 7 ETM+SLCoff data,achieved a sampling precision of over 90%,meeting China's national standard for the National Forest Inventory(NFI);(2)The hybrid estimator demonstrated comparable efficiency to the CMB estimator;(3)The uncertainty associated with hybrid estimators was primarily dominated by model parameter estimation,which could be effectively mitigated by slightly increasing the training sample size or refining model specification.Overall,in forest inventory,the hybrid estimator can surmount the limitations posed by missing values in remotely sensed auxiliary data,effectively balancing cost-effectiveness and flexibility.
