Arbuscular mycorrhiza fungi(AMF) are vital in the regeneration of vegetation in disturbed ecosystems due to their numerous ecological advantages and therefore are good indicators of soil and ecosystem health at large....Arbuscular mycorrhiza fungi(AMF) are vital in the regeneration of vegetation in disturbed ecosystems due to their numerous ecological advantages and therefore are good indicators of soil and ecosystem health at large. This study was aimed at determining how the seasonal, vegetation cover density, edaphic and anthropogenic factors affect AMF root colonization(RC) and spore density(SD)in Desa’a dry Afromontane forest. AMF RC and SD in the rhizosphere of five dominant woody species, Juniperus procera, Olea europaea, Maytenus arbutifolia, Carissa spinarum and Dodonaea angustifolia growing in Desa’a forest were studied during the rainy and the dry seasons in three permanent study vegetation cover density plots(dense, medium, and poor). Each plot(160 x40 m2) has two management practices(fenced and unfenced plots) of area. A 100 g sample of rhizosphere soil from moisturefree composite soil was used to determine spore density.Spore density ranged from 50 to 4467 spores/100 g soil,and all species were colonized by AMF within a range of 4–95%. Glomus was the dominant genus in the rhizosphere of all species. Vegetation cover density strongly affected SD and RC. The SD was significantly higher(p < 0.05) in the poor vegetation cover density than in the other two and lowest in the dense cover; root colonization showed the reverse trend. Management practices significantly(p <0.05) influenced AMF SD and RC, with the fenced plots being more favoured. Seasons significantly(p < 0.05) affected RC and SD. More RC and SD were observed in the wet period than the dry period. Correlating AMF SD and RC with soil physical and chemical properties showed no significant difference(p> 0.05) except for total nitrogen. Disturbance, vegetation cover density, season and total nitrogen are significant factors that control the dynamics and management interventions to maintain the forest health of dry Afromontane forests.展开更多
In October 1999, rainfall induced landslides devastated different communities of the Sierra Norte, Puebla, causing more than 250 victims and economic losses greater than $ 450 million. The town of Zacapoaxtla was one ...In October 1999, rainfall induced landslides devastated different communities of the Sierra Norte, Puebla, causing more than 250 victims and economic losses greater than $ 450 million. The town of Zacapoaxtla was one of the sectors most affected by slope instability due to the existing geological features and geomorphic characters determined by material properties, landforms and processes. Extensive areas formed by pyroclastic piedmonts developed on the Quaternary volcanic ignimbrite deposits highly dissected by marginal gully erosion combined with an extreme rainfall event played a significant role as an ideal scenario for the occurrence of landsliding. Distribution of landslides triggered by rainfall within the main sector of the Zacapoaxtla municipality was analyzed by using IKONOS images in terms of exploring the likely relationship between mass movement incidence and levels of vegetation density. The later was undertaken by means of producing an NDVI and applying a fragmentation algorithm. Finally, a map of potential areas of mass movements risk was produced based on the combination of a socio-economic vulnerability index, geologic and geomorphological maps and the spatial landslide distribution.展开更多
In this study, urban environmental condition using Terra ASTER （advanced spaceborne thermal emission and reflection radiometer） remotely sensed satellite imagery was estimated and compared to statistically derived s...In this study, urban environmental condition using Terra ASTER （advanced spaceborne thermal emission and reflection radiometer） remotely sensed satellite imagery was estimated and compared to statistically derived socioeconomic condition data from Semarang Municipality in Central Java Province： Indonesia. From satellite imagery： U1 （urban index） and NDVI （normalized difference vegetation index） were calculated and used that information to construct urban density and vegetation distribution maps of the study area. Urban density and vegetation distribution were combined to estimate urban environmental condition; then compared to socioeconomic conditions. The results revealed that the Semarang Municipality had a higher percentage of developed or urbanized areas （49%） compared to the percentage of area covered by vegetation （42%）. In general, southern Semarang had a higher quality urban environment and socioeconomic condition compared to northern Semarang, which had a higher urban density, lower quality urban environment and lower socioeconomic condition. The indicate that socioeconomic condition can be determined using satellite-derived urban and vegetation indices even in places like Semarang Municipality, where the population settlement was sparse and unorganized.展开更多
Studies of post-fire soil status in Mediterranean ecosystems are common;however,few have examined the effects of long-term forest management after a wildfire on physicochemical soil properties.Here,we analyzed differe...Studies of post-fire soil status in Mediterranean ecosystems are common;however,few have examined the effects of long-term forest management after a wildfire on physicochemical soil properties.Here,we analyzed differences in soil properties attributable to long-term postfire management and assessed the sustainability of these management practices in relation to the soil properties.The study area is located in Odena in the northeast region of the Iberian Peninsula consisted of the control forest(burned more than 30 years ago),low density forest(LD;burned in a wildfire in 1986 and managed in 2005)and high density forest(HD;burned in a wildfire in 1986 and no managed).For soils from each plot,we measured soil water repellency,aggregate stability,total nitrogen(TN),soil organic matter(SOM),inorganic carbon(IC),pH,electrical conductivity,extractable calcium,magnesium,sodium,potassium(K),phosphorus,aluminum(Al),manganese(Mn),iron(Fe),zinc,copper,boron,chrome,silicon and sulfur and calculated the ratios of C/N,Ca+Mg/(Na+K)^1/2,Ca/Al and Ca/Mg.Significant differences were found in TN,IC,SOM,pH,K,Al,Mn,Fe and C/N ratio(p<0.05).All soil properties were found to have largely recovered their pre-fire values.Soils were affected by the post-fire management practices implemented 20 years after the fire,as reflected in their respective physicochemical properties,so that soil properties at the control and LD sites are more similar today than those at the control and HD sites.Thus,sustainable forest management can overcome soil degradation in areas affected by wildfire in the medium-and long-term by improving soil properties.展开更多
Vegetation is an important feature of many rivers. Vegetation along rivers produces high resistance to flow and, as a result, has a large impact on water levels in rivers and lakes. The effects of instream-unsubmerged...Vegetation is an important feature of many rivers. Vegetation along rivers produces high resistance to flow and, as a result, has a large impact on water levels in rivers and lakes. The effects of instream-unsubmerged vegetation （such as the reed-similar Kalmus） on flow resistance and velocity distributions is studied in the paper. Artificial vegetation is used in the experimental study to simulate the Acorus Calmus L. As shown in experimental tests the resistance depends strongly on vegetation density and the Manning resistance coefficient varies with the depth of flow. A simplified model based on concepts of drag is developed to evaluate the roughness coefficient （Manning＇s n） for non submerged vegetation. In vegetated channels the overall flow resistance is influenced significantly by the distribution pattern of the vegetated beds. Within vegetation, vertical variation in velocity is different from that in the non vegetated bed, which reflects the variation in vegetation density. Vertical turbulent transport of momentum is negligible as demonstrated by experiments.展开更多
Aims The accurate estimation of aboveground biomass in vegetation is critical for global carbon accounting.Regression models provide an easy estimation of aboveground biomass at large spatial and temporal scales.Yet,o...Aims The accurate estimation of aboveground biomass in vegetation is critical for global carbon accounting.Regression models provide an easy estimation of aboveground biomass at large spatial and temporal scales.Yet,only few prediction models are available for aboveground biomass in rangelands,as compared with forests.In addition to the development of prediction models,we tested whether such prediction models vary with plant growth forms and life spans,and with the inclusion of site and/or quadrat-specific factors.Methods We collected dataset of aboveground biomass from destructive harvesting of 8088 individual plants belonging to 79 species in 735 quadrats across 35 sites in semi-steppe rangelands in Iran.A logarithmic transformation of the power-law model was used to develop simple prediction models for the easy estimation of above-ground biomass using plant coverage and vegetation density as predictors for the species-specific model,multispecies and plants of different growth forms and life spans.In addition,additive and multiplicative linear regression models were developed by using plant coverage and one categorical variable from the site and/or quadrat-specific factors.Important Findings The log-transformed power-law model based on plant coverage pre-cisely predicted aboveground biomass across the whole dataset for ei-ther most of the species-specific model,multispecies or plants of the same growth forms(shrubs,forbs or graminoids)and life spans(annuals,biennials or perennials).The addition of vegetation density as a single or in a compound predictor variable had relatively poor performance com-pared with the model having plant coverage only.Although generalizing at the levels of plant group forms and/or life spans did not substantially enhance the model-fit and validation of the plant coverage-based mul-tispecies model,the inclusion of plant growth forms or life spans as a categorical predictor variable had performed well.Generalized models in this study will greatly contribute to the accurate and easy predic-tion of aboveground biomass in the studied rangelands and will be also useful to rangeland practitioners and ecological modellers interested in the global relationship between biodiversity and aboveground biomass productivity across space and time in natural rangelands.展开更多
基金supported by The Steps Towards Sustainable Forest management with the Local Communities in Tigray,Northern Ethiopia(ETH 13/0018)
文摘Arbuscular mycorrhiza fungi(AMF) are vital in the regeneration of vegetation in disturbed ecosystems due to their numerous ecological advantages and therefore are good indicators of soil and ecosystem health at large. This study was aimed at determining how the seasonal, vegetation cover density, edaphic and anthropogenic factors affect AMF root colonization(RC) and spore density(SD)in Desa’a dry Afromontane forest. AMF RC and SD in the rhizosphere of five dominant woody species, Juniperus procera, Olea europaea, Maytenus arbutifolia, Carissa spinarum and Dodonaea angustifolia growing in Desa’a forest were studied during the rainy and the dry seasons in three permanent study vegetation cover density plots(dense, medium, and poor). Each plot(160 x40 m2) has two management practices(fenced and unfenced plots) of area. A 100 g sample of rhizosphere soil from moisturefree composite soil was used to determine spore density.Spore density ranged from 50 to 4467 spores/100 g soil,and all species were colonized by AMF within a range of 4–95%. Glomus was the dominant genus in the rhizosphere of all species. Vegetation cover density strongly affected SD and RC. The SD was significantly higher(p < 0.05) in the poor vegetation cover density than in the other two and lowest in the dense cover; root colonization showed the reverse trend. Management practices significantly(p <0.05) influenced AMF SD and RC, with the fenced plots being more favoured. Seasons significantly(p < 0.05) affected RC and SD. More RC and SD were observed in the wet period than the dry period. Correlating AMF SD and RC with soil physical and chemical properties showed no significant difference(p> 0.05) except for total nitrogen. Disturbance, vegetation cover density, season and total nitrogen are significant factors that control the dynamics and management interventions to maintain the forest health of dry Afromontane forests.
文摘In October 1999, rainfall induced landslides devastated different communities of the Sierra Norte, Puebla, causing more than 250 victims and economic losses greater than $ 450 million. The town of Zacapoaxtla was one of the sectors most affected by slope instability due to the existing geological features and geomorphic characters determined by material properties, landforms and processes. Extensive areas formed by pyroclastic piedmonts developed on the Quaternary volcanic ignimbrite deposits highly dissected by marginal gully erosion combined with an extreme rainfall event played a significant role as an ideal scenario for the occurrence of landsliding. Distribution of landslides triggered by rainfall within the main sector of the Zacapoaxtla municipality was analyzed by using IKONOS images in terms of exploring the likely relationship between mass movement incidence and levels of vegetation density. The later was undertaken by means of producing an NDVI and applying a fragmentation algorithm. Finally, a map of potential areas of mass movements risk was produced based on the combination of a socio-economic vulnerability index, geologic and geomorphological maps and the spatial landslide distribution.
文摘In this study, urban environmental condition using Terra ASTER （advanced spaceborne thermal emission and reflection radiometer） remotely sensed satellite imagery was estimated and compared to statistically derived socioeconomic condition data from Semarang Municipality in Central Java Province： Indonesia. From satellite imagery： U1 （urban index） and NDVI （normalized difference vegetation index） were calculated and used that information to construct urban density and vegetation distribution maps of the study area. Urban density and vegetation distribution were combined to estimate urban environmental condition; then compared to socioeconomic conditions. The results revealed that the Semarang Municipality had a higher percentage of developed or urbanized areas （49%） compared to the percentage of area covered by vegetation （42%）. In general, southern Semarang had a higher quality urban environment and socioeconomic condition compared to northern Semarang, which had a higher urban density, lower quality urban environment and lower socioeconomic condition. The indicate that socioeconomic condition can be determined using satellite-derived urban and vegetation indices even in places like Semarang Municipality, where the population settlement was sparse and unorganized.
基金supported by the POSTFIRE Project(CGL2013-47862-C2-1 and 2-R)the POSTFIRE_CARE Project(CGL2016-75178-C2-2-R [AEI/FEDER,UE])+3 种基金financed by the Spanish Research Agency(AIE)the European Union through European Funding for Regional Development(FEDER)the FPU Program(FPU 014/00037)of the Ministry of Education,Culture and SportsProgram 2014SGR825 and 2017SGR1344 of the Generalitat de Catalunya
文摘Studies of post-fire soil status in Mediterranean ecosystems are common;however,few have examined the effects of long-term forest management after a wildfire on physicochemical soil properties.Here,we analyzed differences in soil properties attributable to long-term postfire management and assessed the sustainability of these management practices in relation to the soil properties.The study area is located in Odena in the northeast region of the Iberian Peninsula consisted of the control forest(burned more than 30 years ago),low density forest(LD;burned in a wildfire in 1986 and managed in 2005)and high density forest(HD;burned in a wildfire in 1986 and no managed).For soils from each plot,we measured soil water repellency,aggregate stability,total nitrogen(TN),soil organic matter(SOM),inorganic carbon(IC),pH,electrical conductivity,extractable calcium,magnesium,sodium,potassium(K),phosphorus,aluminum(Al),manganese(Mn),iron(Fe),zinc,copper,boron,chrome,silicon and sulfur and calculated the ratios of C/N,Ca+Mg/(Na+K)^1/2,Ca/Al and Ca/Mg.Significant differences were found in TN,IC,SOM,pH,K,Al,Mn,Fe and C/N ratio(p<0.05).All soil properties were found to have largely recovered their pre-fire values.Soils were affected by the post-fire management practices implemented 20 years after the fire,as reflected in their respective physicochemical properties,so that soil properties at the control and LD sites are more similar today than those at the control and HD sites.Thus,sustainable forest management can overcome soil degradation in areas affected by wildfire in the medium-and long-term by improving soil properties.
基金Project supported by the National Natural Science Foundation of China (Grant No :30490235) .
文摘Vegetation is an important feature of many rivers. Vegetation along rivers produces high resistance to flow and, as a result, has a large impact on water levels in rivers and lakes. The effects of instream-unsubmerged vegetation （such as the reed-similar Kalmus） on flow resistance and velocity distributions is studied in the paper. Artificial vegetation is used in the experimental study to simulate the Acorus Calmus L. As shown in experimental tests the resistance depends strongly on vegetation density and the Manning resistance coefficient varies with the depth of flow. A simplified model based on concepts of drag is developed to evaluate the roughness coefficient （Manning＇s n） for non submerged vegetation. In vegetated channels the overall flow resistance is influenced significantly by the distribution pattern of the vegetated beds. Within vegetation, vertical variation in velocity is different from that in the non vegetated bed, which reflects the variation in vegetation density. Vertical turbulent transport of momentum is negligible as demonstrated by experiments.
基金This work was supported by the University of Tehran,Iran(grant No.3870306)We would like to thank Mr.Mohsen Hosseini,Drs.Esmaeil Alizadeh and Azad Rastegar for their contributions to this work.A.A.is financially supported by Guangdong Provincial Government(grant No.205588)for conducting ecological research at South China Normal University.
文摘Aims The accurate estimation of aboveground biomass in vegetation is critical for global carbon accounting.Regression models provide an easy estimation of aboveground biomass at large spatial and temporal scales.Yet,only few prediction models are available for aboveground biomass in rangelands,as compared with forests.In addition to the development of prediction models,we tested whether such prediction models vary with plant growth forms and life spans,and with the inclusion of site and/or quadrat-specific factors.Methods We collected dataset of aboveground biomass from destructive harvesting of 8088 individual plants belonging to 79 species in 735 quadrats across 35 sites in semi-steppe rangelands in Iran.A logarithmic transformation of the power-law model was used to develop simple prediction models for the easy estimation of above-ground biomass using plant coverage and vegetation density as predictors for the species-specific model,multispecies and plants of different growth forms and life spans.In addition,additive and multiplicative linear regression models were developed by using plant coverage and one categorical variable from the site and/or quadrat-specific factors.Important Findings The log-transformed power-law model based on plant coverage pre-cisely predicted aboveground biomass across the whole dataset for ei-ther most of the species-specific model,multispecies or plants of the same growth forms(shrubs,forbs or graminoids)and life spans(annuals,biennials or perennials).The addition of vegetation density as a single or in a compound predictor variable had relatively poor performance com-pared with the model having plant coverage only.Although generalizing at the levels of plant group forms and/or life spans did not substantially enhance the model-fit and validation of the plant coverage-based mul-tispecies model,the inclusion of plant growth forms or life spans as a categorical predictor variable had performed well.Generalized models in this study will greatly contribute to the accurate and easy predic-tion of aboveground biomass in the studied rangelands and will be also useful to rangeland practitioners and ecological modellers interested in the global relationship between biodiversity and aboveground biomass productivity across space and time in natural rangelands.
