Livestock farming is a critical pillar of Tajikistan’s national economy and livelihood security.However,significant economic challenges in the country have led to the degradation of grassland ecosystems.This degradat...Livestock farming is a critical pillar of Tajikistan’s national economy and livelihood security.However,significant economic challenges in the country have led to the degradation of grassland ecosystems.This degradation has not only reduced the productivity of grassland ecosystems but also severely impacted their ecological functions.A particularly concerning consequence is the threat to biodiversity,as the survival and persistence of endemic,rare,and endangered plant species are at serious risk,thereby diminishing the value of species’genetic resources.Based on the data from multiple sources such as literature reviews,field observations,and national statistics,this study employed a systematic literature review and meta-analysis to investigate the current status,causes of degradation,and restoration measures for grassland ecosystems in Tajikistan.The results revealed that Tajikistan’s grassland ecosystems support exceptionally high plant species diversity,comprising over 4500 vascular plant species,including nearly 1500 endemic and sub-endemic taxa that constitute a unique genetic reservoir.These ecosystems are experiencing severe degradation,characterized by significantly reduced vegetation cover and declining species richness.Palatable forage species are increasingly being displaced by unpalatable,thorny,and poisonous species.The primary drivers of degradation include excessive grazing pressure,which disrupts plant reproductive cycles and regeneration capacity,habitat fragmentation due to urbanization and infrastructure development,and uncontrolled exploitation of medicinal and edible plants.Climate change,particularly rising temperatures and altered precipitation patterns,further exacerbates these anthropogenic pressures.Ecological restoration experiments suggested that both ecosystem productivity and plant species diversity are significantly enhanced by systematic reseeding trials using altitude-adapted native species.These findings underscore the necessity of establishing scientifically grounded approaches for ecological restoration.展开更多
Floodplain wetlands are invaluable ecosystems providing numerous ecological benefits,yet they face a global crisis necessitating sustainable preservation efforts.This study examines the depletion of floodplain wetland...Floodplain wetlands are invaluable ecosystems providing numerous ecological benefits,yet they face a global crisis necessitating sustainable preservation efforts.This study examines the depletion of floodplain wetlands within the Hastinapur Wildlife Sanctuary(HWLS)in Uttar Pradesh.Encroachment activities such as grazing,agriculture,and human settlements have fragmented and degraded critical wetland ecosystems.Additionally,irrigation projects,dam construction,and water diversion have disrupted natural water flow and availability.To assess wetland inundation in 2023,five classification techniques were employed:Random Forest(RF),Support Vector Machine(SVM),artificial neural network(ANN),Spectral Information Divergence(SID),and Maximum Likelihood Classifier(MLC).SVM emerged as the most precise method,as determined by kappa coefficient and index-based validation.Consequently,the SVM classifier was used to model wetland inundation areas from 1983 to 2023 and analyze spatiotemporal changes and fragmentation patterns.The findings revealed that the SVM clas-sifier accurately mapped 2023 wetland areas.The modeled time-series data demonstrated a 62.55%and 38.12%reduction in inundated wetland areas over the past 40 years in the pre-and post-monsoon periods,respectively.Fragmentation analysis indicated an 86.27%decrease in large core wetland areas in the pre-monsoon period,signifying severe habitat degradation.This rapid decline in wetlands within protected areas raises concerns about their ecological impacts.By linking wetland loss to global sustainability objectives,this study underscores the global urgency for strengthened wetland protection measures and highlights the need for integrating wetland conservation into broader sustainable development goals.Effective policies and adaptive management strategies are crucial for preserving these ecosystems and their vital services,which are essential for biodiversity,climate regulation,and human well-being.展开更多
Ecosystems along the eastern margin of the Qinghai-Tibet Plateau(EQTP)are highly fragile and extremely sensitive to climate change and human disturbances.To quantitatively assess climate-induced ecosystem responses,th...Ecosystems along the eastern margin of the Qinghai-Tibet Plateau(EQTP)are highly fragile and extremely sensitive to climate change and human disturbances.To quantitatively assess climate-induced ecosystem responses,this study proposes a Climate-Induced Productivity Index(CIPI)based on the Super Slack-Based Measure(Super-SBM)model using remote sensing data from 2001 to 2020.The results reveal persistently low CIPI values(0.47-0.53)across major ecosystem types,indicating widespread vulnerability to climatic variability.Among these ecosystems,forests exhibit the highest CIPI(0.55),followed by shrublands(0.54),croplands(0.53),grasslands(0.51),and barelands(0.43).The Theil index analysis further demonstrates significant intra-group disparities,suggesting that extreme climatic events amplify CIPI heterogeneity.Moreover,the dominant environmental drivers differ among ecosystem types:the Palmer Drought Severity Index(PDSI)primarily constrains grassland productivity,solar radiation(SRAD)strongly influences shrub and cropland systems,whereas subsurface factors exert greater control in forested regions.This study provides a quantitative framework for evaluating climate-ecosystem interactions and offers a scientific basis for long-term ecological monitoring and security planning across the EQTP.展开更多
The Kulpawn River Basin(KRB)plays a critical role in supporting rural livelihoods through agriculture,water supply,and biodiversity conservation.However,between 1995 and 2023,significant land use and land cover(LULC)c...The Kulpawn River Basin(KRB)plays a critical role in supporting rural livelihoods through agriculture,water supply,and biodiversity conservation.However,between 1995 and 2023,significant land use and land cover(LULC)changes have been observed,affecting ecosystem services(ESs).This study evaluated the ecosystem service values(ESVs)associated with LULC changes.The random forest algorithm was applied to extract LULC information from Landsat images for 1995,2005,2015,and 2023.The benefit transfer method was employed to estimate the ESVs over the study period.Questionnaires were also used to assess the views of respondents on the drivers of the ES changes in the basin.The results showed that agricultural lands expanded by 14.14%,built-up areas by 15.17%,and light savannah forest by 8.73%,while dense savannah forest and water bodies declined by 25.71%and 20.00%,respectively.The total estimated ESV was 410.09×10^(8),362.92×10^(8),335.30×10^(8),and 319.28×10^(8) USD/(hm^(2)·a)in 1995,2005,2015,and 2023,respectively,indicating that the total ESV declined from 410.09×10^(8) USD/(hm^(2)·a)in 1995 to 319.28×10^(8) USD/(hm^(2)·a)in 2023.The study concludes that the reduction in ESVs is due to the LULC changes resulting from agricultural activities,expansion of built-up areas,population sprawl,and artisanal mining activities.Hence,there is an urgent need to develop programs and strategies to mitigate and curtail the degradation of LULC and ESVs in the basin.These findings reveal a growing ecological vulnerability,threatening water security and rural livelihoods.The study offers valuable insights to guide sustainable land use planning and ecosystem conservation strategies.展开更多
Human well-being and livelihoods depend on natural ecosystem services(ESs).Following the increment of population,ESs have been deteriorated over time.Ultimately,land use/land cover(LULC)changes have a profound impact ...Human well-being and livelihoods depend on natural ecosystem services(ESs).Following the increment of population,ESs have been deteriorated over time.Ultimately,land use/land cover(LULC)changes have a profound impact on the change of ecosystem.The primary goal of this study is to determine the impacts of LULC changes on ecosystem service values(ESVs)in the upper Gilgel Abbay watershed,Ethiopia.Changes in LULC types were studied using three Landsat images representing 1986,2003,and 2021.The Landsat images were classified using a supervised image classification technique in Earth Resources Data Analysis System(ERDAS)Imagine 2014.We classified ESs in this study into four categories(including provisioning,regulating,supporting,and cultural services)based on global ES classification scheme.The adjusted ESV coefficient benefit approach was employed to measure the impacts of LULC changes on ESVs.Five LULC types were identified in this study,including cultivated land,forest,shrubland,grassland,and water body.The result revealed that the area of cultivated land accounted for 64.50%,71.50%,and 61.50%of the total area in 1986,2003,and 2021,respectively.The percentage of the total area covered by forest was 9.50%,5.90%,and 14.80%in 1986,2003,and 2021,respectively.Result revealed that the total ESV decreased from 7.42×10^(7) to 6.44×10^(7) USD between 1986 and 2003.This is due to the expansion of cultivated land at the expense of forest and shrubland.However,the total ESV increased from 6.44×10^(7) to 7.76×10^(7) USD during 2003-2021,because of the increment of forest and shrubland.The expansion of cultivated land and the reductions of forest and shrubland reduced most individual ESs during 1986-2003.Nevertheless,the increase in forest and shrubland at the expense of cultivated land enhanced many ESs during 2003-2021.Therefore,the findings suggest that appropriate land use practices should be scaled-up to sustainably maintain ESs.展开更多
The self-organization mapping (SOM) neural network algorithm is a new method used to identify the ecosystem service zones at regional extent. According to the ecosystem assessment framework of Millennium Ecosystem A...The self-organization mapping (SOM) neural network algorithm is a new method used to identify the ecosystem service zones at regional extent. According to the ecosystem assessment framework of Millennium Ecosystem Assessment ( MA), this paper develops an indicator system and conducts a spatial cluster analysis at the 1km by I km grid pixel scale with the SOM neural network algorithm to sort the core ecosystem services over the vertical and horizontal dimensions. A case study was carried out in Xilingol League. The ecosystem services in Xilingol League could be divided to six different ecological zones. The SOM neural network algorithm was capable of identifying the similarities among the input data automatically. The research provides both spatially and temporally valuable information targeted sustainable ecosystem management for decision-makers.展开更多
Ecological restorations(ERs)have been widely implemented in recent decades to enhance ecosystem stability.However,the extent of their impacts on ecosystem stability and the underlying mechanism remain poorly understoo...Ecological restorations(ERs)have been widely implemented in recent decades to enhance ecosystem stability.However,the extent of their impacts on ecosystem stability and the underlying mechanism remain poorly understood.This study developed a comprehensive framework for ecosystem stability assessment by integrating the temporal stability of ecosystem service(ES)provision,ecological resistance,and ecological resilience.Additionally,ER intensity was quantified using vegetation index trends,while the pathways and magnitudes of key factors driving ecosystem stability were identified by partial least squares structural equation modeling.Using the Jialing River Basin as a case study,our results revealed that forests exhibited the highest ecosystem stability due to their enhanced capacity to maintain temporal stability of ES provision and ecological resilience.However,farmlands demonstrated the strongest ecological resistance,followed by forests and grasslands.ER projects were primarily implemented in northern and southern farmland regions characterized by low ecological resilience.Pathway analysis identified that favorable climates significantly enhanced the temporal stability of ES provision,and rugged topography improved the ecological resistance.However,fragmented landscape patches disrupted stable ES provision by reducing ecological connectivity,and socioeconomic development diminished both resistance and resilience through land-use intensification.Notably,ERs improved ecological resilience,which in turn elevated overall ecosystem stability.Our results indicated that the proposed framework provides a systematic approach for comprehensive ecosystem stability evaluation and offers critical insights for developing region-specific ER strategies.展开更多
This study focuses on the assessment of ecosystem health(EH),ecosystem services(ES),and ecosystem risk(ER)in East Kolkata Wetland(EKW).A comprehensive framework on the EH,ES and ER has been developed using remote sesn...This study focuses on the assessment of ecosystem health(EH),ecosystem services(ES),and ecosystem risk(ER)in East Kolkata Wetland(EKW).A comprehensive framework on the EH,ES and ER has been developed using remote sesning and geo-spatial techniques for the year 2000,2005,2010,2015,and 2020.The study also assessed ecosystem structure and fragmentation using landscape metrics calculated using fragstats,which showed a significant influence of land use and land cover(LULC)changes on the wetland’s ecological integrity.The study revealed that 6.86% of EKW fallen under a very low EH zone,while 20% was categorized as having very high EH.Spatio-temporal analysis of ES indicated that 30%of the area had very low ES value,with only 8% exhibiting very high ES.ER assessment revealed that 7%of the study area was highly ER,while 12%identified within a high ER zone,reflecting frequent LULC changes.The correlation analysis highlighted strong negative relationships between landscape deviation degree(LDD)and EH(−0.971),and between normalized difference water index(NDWI)and normalized difference vegetation index(NDVI)(−0.991).Additionally,landscape metrics such as the number of patches(NP)and the largest patch index(LPI)exhibited significant correlations,emphasizing the impact of fragmentation on EH and resilience.This comprehensive assessment underscores the importance of integrated approaches to monitor and manage wetland ecosystems,particularly in urban areas facing significant environmental stressors.The findings are crucial for informed decision-making and sustainable management of the wetland ecosystems,particularly in the cities of the global south.展开更多
Seasonal variation in phytoplankton composition influences the pathways and efficiency of energy flow,reshaping the structure of the trophic pyramid in the Ross Sea.However,field investigation of grazing processes pre...Seasonal variation in phytoplankton composition influences the pathways and efficiency of energy flow,reshaping the structure of the trophic pyramid in the Ross Sea.However,field investigation of grazing processes presents challenges that hinder our understanding of energy pathways.This study aims to provide insights into energy flow using a three-dimensional ecosystem model applied to the Ross Sea.By analyzing the simulation results,the role of the seasonal phytoplankton succession,specifically the shift from dominance by Phaeocystis antarctica to diatoms,in energy allocation is explored.The short-lived spring bloom of P.antarctica mainly fuels microzooplankton,creating a brief food chain where energy transfers primarily among smaller plankton.In contrast,the subsequent summer bloom of diatoms,which persists longer,provides nearly half of the total phytoplankton energy loss(via ingestion and mortality)to larger mesozooplankton.Our findings indicate that phytoplankton succession in the Ross Sea extends the bloom duration,particularly for diatoms,thereby facilitating energy transfer to higher trophic levels and improving overall energy utilization.This suggests that phytoplankton succession,an ecological strategy adapted to iron-deficient environments in the Ross Sea,explains why the colder region in front of the Ross Ice Shelf is significantly more productive than the northern areas,ultimately favored by top predators.展开更多
Ecosystem service flows(ESFs)can reveal the interrelationships and impacts between natural systems and human activities.We can improve the stability and sustainability of ecosystems,more effectively utilize natural re...Ecosystem service flows(ESFs)can reveal the interrelationships and impacts between natural systems and human activities.We can improve the stability and sustainability of ecosystems,more effectively utilize natural resources,protect the environment,and enhance the harmonious coexistence of humans and nature by comprehending ESFs.However,few studies have examined ESFs across scales and evaluated their sustainability;most have concentrated on regional scales.In order to quantify and analyze ESFs within the Jing River Basin(JRB)and between the JRB and the adjacent and distant regions from a water-food-energy perspective,this paper employs a meta-coupling framework.Additionally,it evaluates the sustainability of these flows using a techno-ecological synergy framework.The results show that the ESFs within the JRB was significant in 2020.Water production services were concentrated in the southern part of the JRB,while the distribution of food supply and carbon supply services was relatively even.Huan County emerged as the largest exporting county,providing 1.46×10^(8)kg of food to other counties and exporting 2.97×10^(6)kg of energy.The ESFs in the JRB primarily moved towards the neighboring and distant systems.Water production services flowed into the Guanzhong Plain Urban Agglomeration(GPUA),amounting to 5.8×10^(6)kg.Carbon supply services flowed out at 2.4×10^(5)kg,and food exports were the highest,reaching 5.0×10^(7)kg.The ecosystem service flows from the JRB to both the neighboring and distant systems enhanced food security and ecological resilience.The basin itself demonstrated good sustainability in food supply services,with an index value reaching 48.19.In crossscale calculations of food production sustainability with the adjacent GPUA,the index value increased from 48.19 to 52.99,indicating a significant improvement.These findings demonstrate that applying the meta-coupling framework provides an effective approach to quantify ESFs and assess their sustainability across scales.展开更多
Cultural ecosystem services(CES),which encompass recreational and aesthetic values,contribute to human wellbeing and yet are often underrepresented in forest management planning due to challenges in quantifying these ...Cultural ecosystem services(CES),which encompass recreational and aesthetic values,contribute to human wellbeing and yet are often underrepresented in forest management planning due to challenges in quantifying these services.This study introduces the Recreational and Aesthetic Values of Forested Landscapes(RAFL)index,a novel framework combining six measurable recreational and aesthetic components:Stewardship,Naturalness,Complexity,Visual Scale,Historicity,and Ephemera.The RAFL index was integrated into a Linear Programming(LP)Resource Capability Model(RCM)to assess trade-offs between CES and other ecosystem services,including timber production,wildfire resistance,and biodiversity.The approach was applied in a case study in Northern Portugal,comparing two forest management scenarios:Business as Usual(BAU),dominated by eucalyptus plantations,and an Alternative Scenario(ALT),focused on the conversion to native species:cork oak,chestnut,and pedunculate oak.Results revealed that the ALT scenario consistently achieved higher RAFL values,reflecting its potential to enhance CES,while also supporting higher biodiversity and wildfire resilience compared to the BAU scenario.Results highlighted further that management may maintain steady timber production and wildfire regulatory services while addressing concerns with CES.This study provides a replicable methodology for quantifying CES and integrating them into forest management frameworks,offering actionable insights for decision-makers.The findings highlight the effectiveness of the approach in designing landscape mosaics that provide CES while addressing the need to supply provisioning and regulatory ecosystem services.展开更多
The industrial ecosystem covers the advanced technologies,key industries and core factors in the process of developing new quality productive forces,serving as an important perspective for investigating the developmen...The industrial ecosystem covers the advanced technologies,key industries and core factors in the process of developing new quality productive forces,serving as an important perspective for investigating the development of new quality productive forces.Based on the analytical framework comprising technologies,industries and factors,this study examines the internal logic of the development of new quality productive forces.Firstly,the four industrial revolutions in history demonstrate that the industrial ecosystem has promoted a series of revolutionary technology innovations.Secondly,the industrial ecosystem promotes the formation and development of emerging industries through resource sharing,knowledge spillover,and technology diffusion.Thirdly,the industrial ecosystem achieves an innovative allocation of factors of production through the dynamic feedback loop mechanisms of data-algorithm-traffic and data-network-activity.The industrial ecosystem consists of three subsystems,including the innovation ecosystem,the business ecosystem,and the platform ecosystem.The three subsystems transcend the boundaries of innovation for new quality productive forces,broaden their application scenarios,and enhance the efficiency of factor allocation,respectively.To further advance the development of new quality productive forces,it is necessary to establish a system ensuring the coordinated development of all factors.Additionally,efforts are required to integrate the dual driving forces of technology innovation and institutional innovation,and enhance the integration of four chains,including the innovation chain,the industrial chain,the capital chain,and the talent chain.展开更多
The Jabodetabek Metropolitan Area(JMA),Indonesia’s largest urban agglomeration,faces severe challenges due to rapid population growth and environmental degradation.Expanding urban areas has led to a reduction in gree...The Jabodetabek Metropolitan Area(JMA),Indonesia’s largest urban agglomeration,faces severe challenges due to rapid population growth and environmental degradation.Expanding urban areas has led to a reduction in green spaces,damaging ecosystem services,and exacerbating urban heat island effect,soil erosion,and flood risk.Therefore,this study identified key ecosystem service indicators,including Urban Heat Mitigation(UHM),Sediment Retention(SR),and Flood Risk Mitigation(FRM),and defined the spatial pattern of ecosystem services and its management zones in the JMA in 2024.Spatial data and ecosystem service indicators were analyzed using the Integrated Valuation of Ecosystem Services and Trade-offs(InVEST)and spatial clustering analysis tool(e.g.,Rustiadi’s Quantitative Zoning Method(RQZM)Ⅱ),and the results served as the basis for formulating strategic recommendations.This study highlighted significant regional disparities.Jakarta,Tangerang Regency,Bekasi Regency,Depok City,Tangerang City,South Tangerang City,and Bekasi City experienced the increase of urban heat effect and flood risk due to dense infrastructure and limited green spaces.Conversely,southern peri-urban areas of Bogor Regency demonstrated higher ecological capacities,particularly in water infiltration and temperature regulation,but remained vulnerable to soil erosion due to urban expansion.The results underscored the critical imbalance between growing urban demands and the diminishing capacity of peri-urban areas to supply ecosystem services,which is driven by the transformation of green spaces into built-up areas.To address these challenges,this study proposed the Nature-Based Solutions(NBS)by emphasizing forested area conservation in the southern region of the JMA,natural landscape restoration and rehabilitation in the central region,and a hybrid of natural and artificial ecosystem creation in the northern region.展开更多
Interactions among ecosystem services(ESs)are spatially heterogeneous,shaped by both stable(unidirectional)and unstable(context-dependent)influences of socio-economic development and climate change.These complexities ...Interactions among ecosystem services(ESs)are spatially heterogeneous,shaped by both stable(unidirectional)and unstable(context-dependent)influences of socio-economic development and climate change.These complexities pose significant challenges for spatially adaptive ecosystem management.Ecosystem service bundles(ESBs),as recurring combinations of ESs,offer a valuable framework to capture such interactions.Here,we proposed an integrated analytical framework that combines K-means clustering,the geographical detector(GD)model,and geographically and temporally weighted regression(GTWR)models to evaluate how socio-economic and climatic drivers influence ESBs across space and time.Using Hanshui River Basin(HRB)in central China as a case study,we quantified ES dynamics from 2000 to 2020,identified ESBs and stable and unstable effects of multiple drivers.The results showed that carbon sequestration(CS),water yield(WY),and aesthetic landscape(AL)increased by 32.80%,9.00%,and 7.34%,respectively,while soil retention(SR)and food supply(FS)declined by 8.38%and 5.36%.Five distinct ESBs were identified,namely ecologically fragile bundle(EFB),agricultural production bundle(APB),water supply bundle(WSB),forest ecological bundle(FEB),and ecological conservation bundle(ECB).Among these,FEB expanded to more than 35.75%of the HRB,and APB exhibited the sharpest decline(-28.64%).Land use intensity(LUI)was the primary driver of the spatial heterogeneity of ESBs,while synergistic and nonlinear interactions among multiple factors increasingly amplified their effects over time.Notably,annual precipitation(AP)emerged as the only stable basin-scale driver,consistently enhancing ES performance,while gross domestic product(GDP)and normalized difference vegetation index(NDVI)had stable yet spatially differentiated effects across bundles.Our findings highlight the significance of distinguishing stable/unstable driver effects on ES dynamics to inform regionally adaptive ecosystem governance.The proposed framework provides valuable insights into ES interactions,identify spatial priorities,and support policy interventions that balance ecological conservation with socio-economic development.展开更多
The interplay between human and ecological systems has evolved from traditional conservation approaches to integrated socio-ecological frameworks that emphasise the co-production of ecosystem services.This paper aims ...The interplay between human and ecological systems has evolved from traditional conservation approaches to integrated socio-ecological frameworks that emphasise the co-production of ecosystem services.This paper aims to inspire new research pathways to advance the Nature's Contributions to People(NCP)perspective by focusing on terraced agroecosystems as emblematic landscapes that exemplify this co-production.Informed by recent studies in sustainability science,and drawing on our experience in Mediterranean environments,we explore the transformative potential of these frameworks for understanding and managing terraced landscapes.Addressing their multifunctionality,the challenges they face,and their socio-cultural and ecological significance,we highlight the importance of bridging scientific insights with local knowledge and participatory practices.We examine the use of advanced biophysical assessments,mapping tools,and stakeholder-driven approaches to enhance field assessment,monitoring capabilities and tackle management challenges under changing socio-economic conditions.We stress the urgent need for education and capacity-building initiatives to counteract indigenous knowledge loss and sustain traditional practices.Looking to the future,we propose potential avenues for research and practice that integrate ecological,cultural,and governance dimensions,contributing to the long-term sustainability of terraced landscapes and informing broader efforts for sustainable land management in an era of rapid environmental change.展开更多
Ecosystems are complex systems shaped by both self-organization and anthropogenic regulation,emerging from the dynamic interplay among water,land,climate,biota,and human activities.As the foundational habitat for huma...Ecosystems are complex systems shaped by both self-organization and anthropogenic regulation,emerging from the dynamic interplay among water,land,climate,biota,and human activities.As the foundational habitat for human well-being,they provide essential services including ecological goods,natural resources,cultural value,and livable environments.Amid accelerating global change,intensifying environmental pressures,and deepening disciplinary integration,ecosystem science is entering a period of transformative development.This study identifies macrosystems ecology,grounded in the principles of large-scale ecological processes,as a pivotal framework for driving the future of ecosystem science.We propose an integrated theoretical,epistemological,engineering and technological system to support this evolution,and retrospectively examine the origins and scientific mission of macrosystems ecology.Core questions,practical applications,research subjects,paradigms,and methodological systems are systematically outlined.In addition,we articulate the multidisciplinary principles,epistemological framework,and axiomatic system that underpin a coherent structure for macrosystems ecology.Together,these components offer strategic guidance for advancing both theoretical understanding and practical innovation in sustainable ecosystem management.展开更多
The rapid population and land urbanization not only promoted economic development but also affected the ecosystem service value(ESV).In the context of new-type urbanization and green development,it’s essential to inv...The rapid population and land urbanization not only promoted economic development but also affected the ecosystem service value(ESV).In the context of new-type urbanization and green development,it’s essential to investigate the impacts of urbanization on ESV in China.However,a comprehensive and dynamic framework to reveal the relationship between ESV and urbanization processes is lacking.This study adopted multi-source datasets to portray China’s urbanization process by integrating population,land,and economic urbanization,eval-uated the ESV changes of 10 categories by gross ecosystem product(GEP)methods,and explored ESV changes within different urbanization scales and speeds.The results showed rapid urbanization in the population,land,and economic dimensions in China,with a faster process of economic urbanization.The ESV also exhibited an increasing trend,with higher levels in the southeastern coastal regions and lower levels in the northwestern regions.Urbanization had positive impacts on ESV across various research units,but the ESV exhibited heteroge-neous changes across different urbanization scales,speeds,and their interactive effects.The response of ESV to dynamic urbanization processes was influenced by socio-economic,ecological,and policy factors;it is essential to combine targeted measures with general ecological product value realization methods in each unit to maximize social-economic-ecological benefits.展开更多
Global population growth and rising standards of living are the driving factors for the cropland expansion to meet increasing demands.However,there is no clear assessment of the specific losses on ecosystem services c...Global population growth and rising standards of living are the driving factors for the cropland expansion to meet increasing demands.However,there is no clear assessment of the specific losses on ecosystem services caused by China's expansion of cropland to ensure food security at the cost of losing ecological land such as forests and grasslands.This study employed the ArcGIS platform and integrated valuation of ecosystem services and tradeoffs(InVEST)model to explore the cropland expansion in China from 2000 to 2020 and its impact on ecosystem services,so as to predict the priority areas of future cropland expansion in different scenarios.The results indicated that in the past 20 years,the total area of cropland expansion in China was 17.04 million hm^(2)with 70.79% conversion from forests and grasslands.Cropland expansion has contributed to an overall improvement in the food supply services with the Northern Arid and Semi-Arid Region exhibiting an increase of 18.76×10^(6) tons,while concurrently leading to a decline in habitat quality services.The priority areas for future cropland expansion without ecological loss were found to be 1.42 million hm^(2),which only account for 9.44% of the total reclaimable land.To minimize the loss of ecosystem services,there is a need to adjust the cropland replenishment policies and provide an operational solution for global food security and ecological protection.展开更多
Soil microbial communities are key factors in maintaining ecosystem multifunctionality(EMF).However,the distribution patterns of bacterial diversity and how the different bacterial taxa and their diversity dimensions ...Soil microbial communities are key factors in maintaining ecosystem multifunctionality(EMF).However,the distribution patterns of bacterial diversity and how the different bacterial taxa and their diversity dimensions affect EMF remain largely unknown.Here,we investigated variation in three measures of diversity(alpha diversity,community composition and network complexity)among rare,intermediate,and abundant taxa across a latitudinal gradient spanning five forest plots in Yunnan Province,China and examined their contributions on EMF.We aimed to characterize the diversity distributions of bacterial groups across latitudes and to assess the differences in the mechanisms underlying their contributions to EMF.We found that multifaceted diversity(i.e.,diversity assessed by the three different metrics)of rare,intermediate,and abundant bacteria generally decreased with increasing latitude.More importantly,we found that rare bacterial taxa tended to be more diverse,but they contributed less to EMF than intermediate or abundant bacteria.Among the three dimensions of diversity we assessed,only community composition significantly affected EMF across all locations,while alpha diversity had a negative effect,and network complexity showed no significant impact.Our study further emphasizes the importance of intermediate and abundant bacterial taxa as well as community composition to EMF and provides a theoretical basis for investigating the mechanisms by which belowground microorganisms drive EMF along a latitudinal gradient.展开更多
Several conjugate components represent the aquatic ecosystem of Lake Baikal:Baikal water(surface and deep water),groundwater from boreholes,water of numerous Baikal tributaries,cold and hot mineral springs around Lake...Several conjugate components represent the aquatic ecosystem of Lake Baikal:Baikal water(surface and deep water),groundwater from boreholes,water of numerous Baikal tributaries,cold and hot mineral springs around Lake Baikal,and the Angara River,the only runoff reflecting all this aquatic diversity.River waters in the Baikal region are known to be deficient in some vital elements,including fluorine.This article discusses the features of the fluorine distribution in the water from the conjugate components of the Baikal ecosystem.Fluorine ion concentrations in the water of the Baikal ecosystem was determined using the potentiometric method.The study represents the monitoring that was carried out between 1997 and 2022 years.We determine likely causes of high and low fluorine concentrations in the water from different components,propose and substantiate the fluorine sources,geological and geochemical model of its influx and distribution features in the water of the Baikal ecosystem.展开更多
基金supported by the National Key Research and Development Program of China(2025YFE0103800,2023YFE0102600,2024YFE0214200).
文摘Livestock farming is a critical pillar of Tajikistan’s national economy and livelihood security.However,significant economic challenges in the country have led to the degradation of grassland ecosystems.This degradation has not only reduced the productivity of grassland ecosystems but also severely impacted their ecological functions.A particularly concerning consequence is the threat to biodiversity,as the survival and persistence of endemic,rare,and endangered plant species are at serious risk,thereby diminishing the value of species’genetic resources.Based on the data from multiple sources such as literature reviews,field observations,and national statistics,this study employed a systematic literature review and meta-analysis to investigate the current status,causes of degradation,and restoration measures for grassland ecosystems in Tajikistan.The results revealed that Tajikistan’s grassland ecosystems support exceptionally high plant species diversity,comprising over 4500 vascular plant species,including nearly 1500 endemic and sub-endemic taxa that constitute a unique genetic reservoir.These ecosystems are experiencing severe degradation,characterized by significantly reduced vegetation cover and declining species richness.Palatable forage species are increasingly being displaced by unpalatable,thorny,and poisonous species.The primary drivers of degradation include excessive grazing pressure,which disrupts plant reproductive cycles and regeneration capacity,habitat fragmentation due to urbanization and infrastructure development,and uncontrolled exploitation of medicinal and edible plants.Climate change,particularly rising temperatures and altered precipitation patterns,further exacerbates these anthropogenic pressures.Ecological restoration experiments suggested that both ecosystem productivity and plant species diversity are significantly enhanced by systematic reseeding trials using altitude-adapted native species.These findings underscore the necessity of establishing scientifically grounded approaches for ecological restoration.
基金support through the“Trans-Disciplinary Research”Grant(No.R/Dev/IoE/TDRProjects/2023-24/61658),which played a crucial role in enabling this research endeavor.
文摘Floodplain wetlands are invaluable ecosystems providing numerous ecological benefits,yet they face a global crisis necessitating sustainable preservation efforts.This study examines the depletion of floodplain wetlands within the Hastinapur Wildlife Sanctuary(HWLS)in Uttar Pradesh.Encroachment activities such as grazing,agriculture,and human settlements have fragmented and degraded critical wetland ecosystems.Additionally,irrigation projects,dam construction,and water diversion have disrupted natural water flow and availability.To assess wetland inundation in 2023,five classification techniques were employed:Random Forest(RF),Support Vector Machine(SVM),artificial neural network(ANN),Spectral Information Divergence(SID),and Maximum Likelihood Classifier(MLC).SVM emerged as the most precise method,as determined by kappa coefficient and index-based validation.Consequently,the SVM classifier was used to model wetland inundation areas from 1983 to 2023 and analyze spatiotemporal changes and fragmentation patterns.The findings revealed that the SVM clas-sifier accurately mapped 2023 wetland areas.The modeled time-series data demonstrated a 62.55%and 38.12%reduction in inundated wetland areas over the past 40 years in the pre-and post-monsoon periods,respectively.Fragmentation analysis indicated an 86.27%decrease in large core wetland areas in the pre-monsoon period,signifying severe habitat degradation.This rapid decline in wetlands within protected areas raises concerns about their ecological impacts.By linking wetland loss to global sustainability objectives,this study underscores the global urgency for strengthened wetland protection measures and highlights the need for integrating wetland conservation into broader sustainable development goals.Effective policies and adaptive management strategies are crucial for preserving these ecosystems and their vital services,which are essential for biodiversity,climate regulation,and human well-being.
基金National Key R&D Program of China,No.2022YFF1302401National Natural Science Foundation of China,No.42271007。
文摘Ecosystems along the eastern margin of the Qinghai-Tibet Plateau(EQTP)are highly fragile and extremely sensitive to climate change and human disturbances.To quantitatively assess climate-induced ecosystem responses,this study proposes a Climate-Induced Productivity Index(CIPI)based on the Super Slack-Based Measure(Super-SBM)model using remote sensing data from 2001 to 2020.The results reveal persistently low CIPI values(0.47-0.53)across major ecosystem types,indicating widespread vulnerability to climatic variability.Among these ecosystems,forests exhibit the highest CIPI(0.55),followed by shrublands(0.54),croplands(0.53),grasslands(0.51),and barelands(0.43).The Theil index analysis further demonstrates significant intra-group disparities,suggesting that extreme climatic events amplify CIPI heterogeneity.Moreover,the dominant environmental drivers differ among ecosystem types:the Palmer Drought Severity Index(PDSI)primarily constrains grassland productivity,solar radiation(SRAD)strongly influences shrub and cropland systems,whereas subsurface factors exert greater control in forested regions.This study provides a quantitative framework for evaluating climate-ecosystem interactions and offers a scientific basis for long-term ecological monitoring and security planning across the EQTP.
基金financial assistance from the European Union(Contract number:AFS2023/444-387)。
文摘The Kulpawn River Basin(KRB)plays a critical role in supporting rural livelihoods through agriculture,water supply,and biodiversity conservation.However,between 1995 and 2023,significant land use and land cover(LULC)changes have been observed,affecting ecosystem services(ESs).This study evaluated the ecosystem service values(ESVs)associated with LULC changes.The random forest algorithm was applied to extract LULC information from Landsat images for 1995,2005,2015,and 2023.The benefit transfer method was employed to estimate the ESVs over the study period.Questionnaires were also used to assess the views of respondents on the drivers of the ES changes in the basin.The results showed that agricultural lands expanded by 14.14%,built-up areas by 15.17%,and light savannah forest by 8.73%,while dense savannah forest and water bodies declined by 25.71%and 20.00%,respectively.The total estimated ESV was 410.09×10^(8),362.92×10^(8),335.30×10^(8),and 319.28×10^(8) USD/(hm^(2)·a)in 1995,2005,2015,and 2023,respectively,indicating that the total ESV declined from 410.09×10^(8) USD/(hm^(2)·a)in 1995 to 319.28×10^(8) USD/(hm^(2)·a)in 2023.The study concludes that the reduction in ESVs is due to the LULC changes resulting from agricultural activities,expansion of built-up areas,population sprawl,and artisanal mining activities.Hence,there is an urgent need to develop programs and strategies to mitigate and curtail the degradation of LULC and ESVs in the basin.These findings reveal a growing ecological vulnerability,threatening water security and rural livelihoods.The study offers valuable insights to guide sustainable land use planning and ecosystem conservation strategies.
文摘Human well-being and livelihoods depend on natural ecosystem services(ESs).Following the increment of population,ESs have been deteriorated over time.Ultimately,land use/land cover(LULC)changes have a profound impact on the change of ecosystem.The primary goal of this study is to determine the impacts of LULC changes on ecosystem service values(ESVs)in the upper Gilgel Abbay watershed,Ethiopia.Changes in LULC types were studied using three Landsat images representing 1986,2003,and 2021.The Landsat images were classified using a supervised image classification technique in Earth Resources Data Analysis System(ERDAS)Imagine 2014.We classified ESs in this study into four categories(including provisioning,regulating,supporting,and cultural services)based on global ES classification scheme.The adjusted ESV coefficient benefit approach was employed to measure the impacts of LULC changes on ESVs.Five LULC types were identified in this study,including cultivated land,forest,shrubland,grassland,and water body.The result revealed that the area of cultivated land accounted for 64.50%,71.50%,and 61.50%of the total area in 1986,2003,and 2021,respectively.The percentage of the total area covered by forest was 9.50%,5.90%,and 14.80%in 1986,2003,and 2021,respectively.Result revealed that the total ESV decreased from 7.42×10^(7) to 6.44×10^(7) USD between 1986 and 2003.This is due to the expansion of cultivated land at the expense of forest and shrubland.However,the total ESV increased from 6.44×10^(7) to 7.76×10^(7) USD during 2003-2021,because of the increment of forest and shrubland.The expansion of cultivated land and the reductions of forest and shrubland reduced most individual ESs during 1986-2003.Nevertheless,the increase in forest and shrubland at the expense of cultivated land enhanced many ESs during 2003-2021.Therefore,the findings suggest that appropriate land use practices should be scaled-up to sustainably maintain ESs.
基金Supported by the National Scientific Foundation of China(4080123170873118)+6 种基金the Chinese Academy of Sciences(KZCX2-YW-305-2KSCX2-YW-N-039KZCX2-YW-326-1)the Ministry of Science and Technology of China(2006DFB91912012006BAC08B032006BAC08B062008BAK47B02)~~
文摘The self-organization mapping (SOM) neural network algorithm is a new method used to identify the ecosystem service zones at regional extent. According to the ecosystem assessment framework of Millennium Ecosystem Assessment ( MA), this paper develops an indicator system and conducts a spatial cluster analysis at the 1km by I km grid pixel scale with the SOM neural network algorithm to sort the core ecosystem services over the vertical and horizontal dimensions. A case study was carried out in Xilingol League. The ecosystem services in Xilingol League could be divided to six different ecological zones. The SOM neural network algorithm was capable of identifying the similarities among the input data automatically. The research provides both spatially and temporally valuable information targeted sustainable ecosystem management for decision-makers.
基金supported by the National Key Research and Development Project(Grants No.2022YFF1303204 and 2024YFF1307902)the National Natural Science Foundation of China(Grant No.42271099)。
文摘Ecological restorations(ERs)have been widely implemented in recent decades to enhance ecosystem stability.However,the extent of their impacts on ecosystem stability and the underlying mechanism remain poorly understood.This study developed a comprehensive framework for ecosystem stability assessment by integrating the temporal stability of ecosystem service(ES)provision,ecological resistance,and ecological resilience.Additionally,ER intensity was quantified using vegetation index trends,while the pathways and magnitudes of key factors driving ecosystem stability were identified by partial least squares structural equation modeling.Using the Jialing River Basin as a case study,our results revealed that forests exhibited the highest ecosystem stability due to their enhanced capacity to maintain temporal stability of ES provision and ecological resilience.However,farmlands demonstrated the strongest ecological resistance,followed by forests and grasslands.ER projects were primarily implemented in northern and southern farmland regions characterized by low ecological resilience.Pathway analysis identified that favorable climates significantly enhanced the temporal stability of ES provision,and rugged topography improved the ecological resistance.However,fragmented landscape patches disrupted stable ES provision by reducing ecological connectivity,and socioeconomic development diminished both resistance and resilience through land-use intensification.Notably,ERs improved ecological resilience,which in turn elevated overall ecosystem stability.Our results indicated that the proposed framework provides a systematic approach for comprehensive ecosystem stability evaluation and offers critical insights for developing region-specific ER strategies.
文摘This study focuses on the assessment of ecosystem health(EH),ecosystem services(ES),and ecosystem risk(ER)in East Kolkata Wetland(EKW).A comprehensive framework on the EH,ES and ER has been developed using remote sesning and geo-spatial techniques for the year 2000,2005,2010,2015,and 2020.The study also assessed ecosystem structure and fragmentation using landscape metrics calculated using fragstats,which showed a significant influence of land use and land cover(LULC)changes on the wetland’s ecological integrity.The study revealed that 6.86% of EKW fallen under a very low EH zone,while 20% was categorized as having very high EH.Spatio-temporal analysis of ES indicated that 30%of the area had very low ES value,with only 8% exhibiting very high ES.ER assessment revealed that 7%of the study area was highly ER,while 12%identified within a high ER zone,reflecting frequent LULC changes.The correlation analysis highlighted strong negative relationships between landscape deviation degree(LDD)and EH(−0.971),and between normalized difference water index(NDWI)and normalized difference vegetation index(NDVI)(−0.991).Additionally,landscape metrics such as the number of patches(NP)and the largest patch index(LPI)exhibited significant correlations,emphasizing the impact of fragmentation on EH and resilience.This comprehensive assessment underscores the importance of integrated approaches to monitor and manage wetland ecosystems,particularly in urban areas facing significant environmental stressors.The findings are crucial for informed decision-making and sustainable management of the wetland ecosystems,particularly in the cities of the global south.
基金The National Natural Science Foundation of China under contract No.41941008the National Key Research and Development Program of China under contract No.2023YFC3107702.
文摘Seasonal variation in phytoplankton composition influences the pathways and efficiency of energy flow,reshaping the structure of the trophic pyramid in the Ross Sea.However,field investigation of grazing processes presents challenges that hinder our understanding of energy pathways.This study aims to provide insights into energy flow using a three-dimensional ecosystem model applied to the Ross Sea.By analyzing the simulation results,the role of the seasonal phytoplankton succession,specifically the shift from dominance by Phaeocystis antarctica to diatoms,in energy allocation is explored.The short-lived spring bloom of P.antarctica mainly fuels microzooplankton,creating a brief food chain where energy transfers primarily among smaller plankton.In contrast,the subsequent summer bloom of diatoms,which persists longer,provides nearly half of the total phytoplankton energy loss(via ingestion and mortality)to larger mesozooplankton.Our findings indicate that phytoplankton succession in the Ross Sea extends the bloom duration,particularly for diatoms,thereby facilitating energy transfer to higher trophic levels and improving overall energy utilization.This suggests that phytoplankton succession,an ecological strategy adapted to iron-deficient environments in the Ross Sea,explains why the colder region in front of the Ross Ice Shelf is significantly more productive than the northern areas,ultimately favored by top predators.
基金supported by the National Natural Science Foundation of China[Grant NO.42361040]。
文摘Ecosystem service flows(ESFs)can reveal the interrelationships and impacts between natural systems and human activities.We can improve the stability and sustainability of ecosystems,more effectively utilize natural resources,protect the environment,and enhance the harmonious coexistence of humans and nature by comprehending ESFs.However,few studies have examined ESFs across scales and evaluated their sustainability;most have concentrated on regional scales.In order to quantify and analyze ESFs within the Jing River Basin(JRB)and between the JRB and the adjacent and distant regions from a water-food-energy perspective,this paper employs a meta-coupling framework.Additionally,it evaluates the sustainability of these flows using a techno-ecological synergy framework.The results show that the ESFs within the JRB was significant in 2020.Water production services were concentrated in the southern part of the JRB,while the distribution of food supply and carbon supply services was relatively even.Huan County emerged as the largest exporting county,providing 1.46×10^(8)kg of food to other counties and exporting 2.97×10^(6)kg of energy.The ESFs in the JRB primarily moved towards the neighboring and distant systems.Water production services flowed into the Guanzhong Plain Urban Agglomeration(GPUA),amounting to 5.8×10^(6)kg.Carbon supply services flowed out at 2.4×10^(5)kg,and food exports were the highest,reaching 5.0×10^(7)kg.The ecosystem service flows from the JRB to both the neighboring and distant systems enhanced food security and ecological resilience.The basin itself demonstrated good sustainability in food supply services,with an index value reaching 48.19.In crossscale calculations of food production sustainability with the adjacent GPUA,the index value increased from 48.19 to 52.99,indicating a significant improvement.These findings demonstrate that applying the meta-coupling framework provides an effective approach to quantify ESFs and assess their sustainability across scales.
基金supported by the Forest Research Centre,a research unit funded by Fundacao para a Ciencia e a Tecnologia I.P.(FCT),Portugal(UIDB/00239/2020)the Associated Laboratory TERRA(LA/P/0092/2020)+4 种基金Additional funding was provided through the Ph.D.grant awarded to Dagm Abate(UI/BD/151525/2021)by two key projects:H2020-MSCA-RISE-2020/101007950,titled“DecisionES-Decision Support for the Supply of Ecosystem Services under Global Change,”funded by the Marie Curie International Staff Exchange Scheme,H2020-LCGD-2020-3/101037419,titled“FIRE-RES-Innovative technologies and socio-ecological economic solutions for fireresilient territories in Europe,”funded by the EU Horizon 2020—Research and Innovation Framework Programmesupported by a project MODFIRE—a multiple criteria approach to integrate wildfire behavior in forest management planning with reference PCIF/MOS/0217/2017a contract from Dr.Susete Marques in the scope of Norma Transitoria—DL57/2016/CP1382/CT15a grant from Fundacao para a Ciencia e a Tecnologia(FCT),Portugal to Dr.Guerra-Hernandez(CEECIND/02576/2022).
文摘Cultural ecosystem services(CES),which encompass recreational and aesthetic values,contribute to human wellbeing and yet are often underrepresented in forest management planning due to challenges in quantifying these services.This study introduces the Recreational and Aesthetic Values of Forested Landscapes(RAFL)index,a novel framework combining six measurable recreational and aesthetic components:Stewardship,Naturalness,Complexity,Visual Scale,Historicity,and Ephemera.The RAFL index was integrated into a Linear Programming(LP)Resource Capability Model(RCM)to assess trade-offs between CES and other ecosystem services,including timber production,wildfire resistance,and biodiversity.The approach was applied in a case study in Northern Portugal,comparing two forest management scenarios:Business as Usual(BAU),dominated by eucalyptus plantations,and an Alternative Scenario(ALT),focused on the conversion to native species:cork oak,chestnut,and pedunculate oak.Results revealed that the ALT scenario consistently achieved higher RAFL values,reflecting its potential to enhance CES,while also supporting higher biodiversity and wildfire resilience compared to the BAU scenario.Results highlighted further that management may maintain steady timber production and wildfire regulatory services while addressing concerns with CES.This study provides a replicable methodology for quantifying CES and integrating them into forest management frameworks,offering actionable insights for decision-makers.The findings highlight the effectiveness of the approach in designing landscape mosaics that provide CES while addressing the need to supply provisioning and regulatory ecosystem services.
基金supported by the major project of the National Social Science Fund of China titled“Theoretical and Practical Research on Digital Industry Cluster Innovation Based on a Deep Integration of Digital and Real Economies(No.24&ZD074)the Chinese Academy of Social Sciences'Innovation Program titled“Research on the Basic Theory and Economic Contribution of Data Factors(No.2024CJY0103).
文摘The industrial ecosystem covers the advanced technologies,key industries and core factors in the process of developing new quality productive forces,serving as an important perspective for investigating the development of new quality productive forces.Based on the analytical framework comprising technologies,industries and factors,this study examines the internal logic of the development of new quality productive forces.Firstly,the four industrial revolutions in history demonstrate that the industrial ecosystem has promoted a series of revolutionary technology innovations.Secondly,the industrial ecosystem promotes the formation and development of emerging industries through resource sharing,knowledge spillover,and technology diffusion.Thirdly,the industrial ecosystem achieves an innovative allocation of factors of production through the dynamic feedback loop mechanisms of data-algorithm-traffic and data-network-activity.The industrial ecosystem consists of three subsystems,including the innovation ecosystem,the business ecosystem,and the platform ecosystem.The three subsystems transcend the boundaries of innovation for new quality productive forces,broaden their application scenarios,and enhance the efficiency of factor allocation,respectively.To further advance the development of new quality productive forces,it is necessary to establish a system ensuring the coordinated development of all factors.Additionally,efforts are required to integrate the dual driving forces of technology innovation and institutional innovation,and enhance the integration of four chains,including the innovation chain,the industrial chain,the capital chain,and the talent chain.
基金funded by the Directorate General of Higher Education,Research,and Technology,Ministry of Education,Culture,Research,and Technology,Indonesia,under the Research Program Implementation Contract for the year 2024 under subcontract number 027/ES/PG.02.00.PL/2024.
文摘The Jabodetabek Metropolitan Area(JMA),Indonesia’s largest urban agglomeration,faces severe challenges due to rapid population growth and environmental degradation.Expanding urban areas has led to a reduction in green spaces,damaging ecosystem services,and exacerbating urban heat island effect,soil erosion,and flood risk.Therefore,this study identified key ecosystem service indicators,including Urban Heat Mitigation(UHM),Sediment Retention(SR),and Flood Risk Mitigation(FRM),and defined the spatial pattern of ecosystem services and its management zones in the JMA in 2024.Spatial data and ecosystem service indicators were analyzed using the Integrated Valuation of Ecosystem Services and Trade-offs(InVEST)and spatial clustering analysis tool(e.g.,Rustiadi’s Quantitative Zoning Method(RQZM)Ⅱ),and the results served as the basis for formulating strategic recommendations.This study highlighted significant regional disparities.Jakarta,Tangerang Regency,Bekasi Regency,Depok City,Tangerang City,South Tangerang City,and Bekasi City experienced the increase of urban heat effect and flood risk due to dense infrastructure and limited green spaces.Conversely,southern peri-urban areas of Bogor Regency demonstrated higher ecological capacities,particularly in water infiltration and temperature regulation,but remained vulnerable to soil erosion due to urban expansion.The results underscored the critical imbalance between growing urban demands and the diminishing capacity of peri-urban areas to supply ecosystem services,which is driven by the transformation of green spaces into built-up areas.To address these challenges,this study proposed the Nature-Based Solutions(NBS)by emphasizing forested area conservation in the southern region of the JMA,natural landscape restoration and rehabilitation in the central region,and a hybrid of natural and artificial ecosystem creation in the northern region.
基金Under the auspices of National Natural Science Foundation of China(No.42171414)。
文摘Interactions among ecosystem services(ESs)are spatially heterogeneous,shaped by both stable(unidirectional)and unstable(context-dependent)influences of socio-economic development and climate change.These complexities pose significant challenges for spatially adaptive ecosystem management.Ecosystem service bundles(ESBs),as recurring combinations of ESs,offer a valuable framework to capture such interactions.Here,we proposed an integrated analytical framework that combines K-means clustering,the geographical detector(GD)model,and geographically and temporally weighted regression(GTWR)models to evaluate how socio-economic and climatic drivers influence ESBs across space and time.Using Hanshui River Basin(HRB)in central China as a case study,we quantified ES dynamics from 2000 to 2020,identified ESBs and stable and unstable effects of multiple drivers.The results showed that carbon sequestration(CS),water yield(WY),and aesthetic landscape(AL)increased by 32.80%,9.00%,and 7.34%,respectively,while soil retention(SR)and food supply(FS)declined by 8.38%and 5.36%.Five distinct ESBs were identified,namely ecologically fragile bundle(EFB),agricultural production bundle(APB),water supply bundle(WSB),forest ecological bundle(FEB),and ecological conservation bundle(ECB).Among these,FEB expanded to more than 35.75%of the HRB,and APB exhibited the sharpest decline(-28.64%).Land use intensity(LUI)was the primary driver of the spatial heterogeneity of ESBs,while synergistic and nonlinear interactions among multiple factors increasingly amplified their effects over time.Notably,annual precipitation(AP)emerged as the only stable basin-scale driver,consistently enhancing ES performance,while gross domestic product(GDP)and normalized difference vegetation index(NDVI)had stable yet spatially differentiated effects across bundles.Our findings highlight the significance of distinguishing stable/unstable driver effects on ES dynamics to inform regionally adaptive ecosystem governance.The proposed framework provides valuable insights into ES interactions,identify spatial priorities,and support policy interventions that balance ecological conservation with socio-economic development.
基金supported by the projects REACT4MED—Inclusive Outscaling of Agro-Ecosystem Restoration Actions for the Mediterranean,which is part of the PRIMA Programme supported by the European Union under Horizon 2020(Grant No.2122,Horizon 2020)SELINA—Science for Evidence-based and Sustainable Decisions about Natural Capital,funded by the European Union’s Horizon Europe Research and Innovation Programme(Grant No.101060415)。
文摘The interplay between human and ecological systems has evolved from traditional conservation approaches to integrated socio-ecological frameworks that emphasise the co-production of ecosystem services.This paper aims to inspire new research pathways to advance the Nature's Contributions to People(NCP)perspective by focusing on terraced agroecosystems as emblematic landscapes that exemplify this co-production.Informed by recent studies in sustainability science,and drawing on our experience in Mediterranean environments,we explore the transformative potential of these frameworks for understanding and managing terraced landscapes.Addressing their multifunctionality,the challenges they face,and their socio-cultural and ecological significance,we highlight the importance of bridging scientific insights with local knowledge and participatory practices.We examine the use of advanced biophysical assessments,mapping tools,and stakeholder-driven approaches to enhance field assessment,monitoring capabilities and tackle management challenges under changing socio-economic conditions.We stress the urgent need for education and capacity-building initiatives to counteract indigenous knowledge loss and sustain traditional practices.Looking to the future,we propose potential avenues for research and practice that integrate ecological,cultural,and governance dimensions,contributing to the long-term sustainability of terraced landscapes and informing broader efforts for sustainable land management in an era of rapid environmental change.
基金supported by the National Natural Science Foundation of China(Grants No.32588202,32222052 and 42261144688).
文摘Ecosystems are complex systems shaped by both self-organization and anthropogenic regulation,emerging from the dynamic interplay among water,land,climate,biota,and human activities.As the foundational habitat for human well-being,they provide essential services including ecological goods,natural resources,cultural value,and livable environments.Amid accelerating global change,intensifying environmental pressures,and deepening disciplinary integration,ecosystem science is entering a period of transformative development.This study identifies macrosystems ecology,grounded in the principles of large-scale ecological processes,as a pivotal framework for driving the future of ecosystem science.We propose an integrated theoretical,epistemological,engineering and technological system to support this evolution,and retrospectively examine the origins and scientific mission of macrosystems ecology.Core questions,practical applications,research subjects,paradigms,and methodological systems are systematically outlined.In addition,we articulate the multidisciplinary principles,epistemological framework,and axiomatic system that underpin a coherent structure for macrosystems ecology.Together,these components offer strategic guidance for advancing both theoretical understanding and practical innovation in sustainable ecosystem management.
基金supported by the Key Program of the National Natural Science Foundation of China(Grant No.41931293)the National Natural Science Foundation of China(Grant No.42271275).
文摘The rapid population and land urbanization not only promoted economic development but also affected the ecosystem service value(ESV).In the context of new-type urbanization and green development,it’s essential to investigate the impacts of urbanization on ESV in China.However,a comprehensive and dynamic framework to reveal the relationship between ESV and urbanization processes is lacking.This study adopted multi-source datasets to portray China’s urbanization process by integrating population,land,and economic urbanization,eval-uated the ESV changes of 10 categories by gross ecosystem product(GEP)methods,and explored ESV changes within different urbanization scales and speeds.The results showed rapid urbanization in the population,land,and economic dimensions in China,with a faster process of economic urbanization.The ESV also exhibited an increasing trend,with higher levels in the southeastern coastal regions and lower levels in the northwestern regions.Urbanization had positive impacts on ESV across various research units,but the ESV exhibited heteroge-neous changes across different urbanization scales,speeds,and their interactive effects.The response of ESV to dynamic urbanization processes was influenced by socio-economic,ecological,and policy factors;it is essential to combine targeted measures with general ecological product value realization methods in each unit to maximize social-economic-ecological benefits.
基金supported by the National Natural Science Foundation of China(Grant No.52374170)the Major Special Projects of the Third Comprehensive Scientific Exploration in Xinjiang(Grant No.2022xjkk1005)the Fundamental Research Funds for the Central Universities(Grant No.B230207001)。
文摘Global population growth and rising standards of living are the driving factors for the cropland expansion to meet increasing demands.However,there is no clear assessment of the specific losses on ecosystem services caused by China's expansion of cropland to ensure food security at the cost of losing ecological land such as forests and grasslands.This study employed the ArcGIS platform and integrated valuation of ecosystem services and tradeoffs(InVEST)model to explore the cropland expansion in China from 2000 to 2020 and its impact on ecosystem services,so as to predict the priority areas of future cropland expansion in different scenarios.The results indicated that in the past 20 years,the total area of cropland expansion in China was 17.04 million hm^(2)with 70.79% conversion from forests and grasslands.Cropland expansion has contributed to an overall improvement in the food supply services with the Northern Arid and Semi-Arid Region exhibiting an increase of 18.76×10^(6) tons,while concurrently leading to a decline in habitat quality services.The priority areas for future cropland expansion without ecological loss were found to be 1.42 million hm^(2),which only account for 9.44% of the total reclaimable land.To minimize the loss of ecosystem services,there is a need to adjust the cropland replenishment policies and provide an operational solution for global food security and ecological protection.
基金supported by the Fundamental Research Funds of Chinese Academy of Forestry(Nos.CAFYBB2022SY037,CAFYBB2021ZA002 and CAFYBB2022QC002)the Basic Research Foundation of Yunnan Province(Grant No.202201AT070264).
文摘Soil microbial communities are key factors in maintaining ecosystem multifunctionality(EMF).However,the distribution patterns of bacterial diversity and how the different bacterial taxa and their diversity dimensions affect EMF remain largely unknown.Here,we investigated variation in three measures of diversity(alpha diversity,community composition and network complexity)among rare,intermediate,and abundant taxa across a latitudinal gradient spanning five forest plots in Yunnan Province,China and examined their contributions on EMF.We aimed to characterize the diversity distributions of bacterial groups across latitudes and to assess the differences in the mechanisms underlying their contributions to EMF.We found that multifaceted diversity(i.e.,diversity assessed by the three different metrics)of rare,intermediate,and abundant bacteria generally decreased with increasing latitude.More importantly,we found that rare bacterial taxa tended to be more diverse,but they contributed less to EMF than intermediate or abundant bacteria.Among the three dimensions of diversity we assessed,only community composition significantly affected EMF across all locations,while alpha diversity had a negative effect,and network complexity showed no significant impact.Our study further emphasizes the importance of intermediate and abundant bacterial taxa as well as community composition to EMF and provides a theoretical basis for investigating the mechanisms by which belowground microorganisms drive EMF along a latitudinal gradient.
基金the framework of the IGC SB RAS project(No.0284-2021-0003)supported by the RFFR ofi_m project(No.17-29-05022).
文摘Several conjugate components represent the aquatic ecosystem of Lake Baikal:Baikal water(surface and deep water),groundwater from boreholes,water of numerous Baikal tributaries,cold and hot mineral springs around Lake Baikal,and the Angara River,the only runoff reflecting all this aquatic diversity.River waters in the Baikal region are known to be deficient in some vital elements,including fluorine.This article discusses the features of the fluorine distribution in the water from the conjugate components of the Baikal ecosystem.Fluorine ion concentrations in the water of the Baikal ecosystem was determined using the potentiometric method.The study represents the monitoring that was carried out between 1997 and 2022 years.We determine likely causes of high and low fluorine concentrations in the water from different components,propose and substantiate the fluorine sources,geological and geochemical model of its influx and distribution features in the water of the Baikal ecosystem.