Land use is shaped by the interactions between nature and society, and these interactions can inhibit environmental sustainability and deplete the natural capital that provides the ecosystem services upon which humans...Land use is shaped by the interactions between nature and society, and these interactions can inhibit environmental sustainability and deplete the natural capital that provides the ecosystem services upon which humans depend. Urbanity Index and Landscape Vulnerability Indicator have been proposed to improve the impact interpretability of land use changes on sub-basin sustainability for local scenarios of biodiversity conservation. A time series of LandSat 5 Thematic Mapper remote sensing data from São Carlos municipality, Southeastern Brazil, for the years 1989, 2004 and 2014 revealed that land use changes in the sub-basins do not take place in a progressive and gradual way. Over the 25-year period, the main trends showed the loss and increase of forest cover so that it has remained quantitatively similar over time due to reduced agricultural land use. The aggregation of both indicators enabled the identification of greater naturalness and lower vulnerability, as well as lower naturalness and higher vulnerability under local sub-basin conditions, pointing the need for different strategies for sub-basin biodiversity conservation and sustainability. These preliminary scenarios provide a way to communicate problems of environmental sustainability at different landscape scales to the scientific community as well as to planners, policy makers and the broader public.展开更多
Recent evidence suggests that Brazilian Cerrado has been largely converted, mainly due to agribusiness activities and urbanization. Thus, the present work aimed to obtain the diagnosis of a watershed characterized by ...Recent evidence suggests that Brazilian Cerrado has been largely converted, mainly due to agribusiness activities and urbanization. Thus, the present work aimed to obtain the diagnosis of a watershed characterized by the expansion of sugar cane fields in the Brazilian Cerrado (Southeastern), employing integrity landscape indicators (Hemeroby, Urbanity Index, Landscape Vulnerability Index, and Water Quality Index) to verify the landscape naturalness, and the consequences of these actions to the ecosystem services provision. Remote sensing data for the years 1998, 2008, and 2018 were employed to verify the land-use changes in the Feijão River watershed (southeastern Brazil), as well as a matrix that considers the land use typologies and their capability to provide ecosystem services. The study area is classified as mixed land use, with the main categories related to agribusiness (sugar cane, pasture, bare soil). The Hemeroby and Urban Index denote naturalness declines over the years, and the observed patterns negatively impact ecosystem service provision. Landscape Vulnerability Index and Water Quality Index demonstrated that remaining vegetation cannot effectively retain pollutants, and severe impairments in the resilience of natural components of key ecosystem service providers (i.e. water and native vegetation) were observed. The results allowed the identification of priority areas for recovery and the maintenance of ecosystem services in agricultural lands.展开更多
Land use/cover change （LUCC） models are helpful tools for analyzing driving forces and processes of land use changes, assessing ecological impacts of land use change and decision-making for land use planning. Howeve...Land use/cover change （LUCC） models are helpful tools for analyzing driving forces and processes of land use changes, assessing ecological impacts of land use change and decision-making for land use planning. However, no single model is able to capture all the essential key processes to explore land use change at different spatial-temporal scales and make a full assessment of driving factors and macro-ecological impacts. Taken Ganzhou District as a case study, this paper describes an integrated analysis （IA） ap- proach by combining with system dynamics （SD） model, the Conversion of Land Use and its Effects at Small regional extent （CLUE-S） model and landscape indices method to analyze land use dynamics at different spatial-temporal scales. The SD model was used to calculate and predict demands for different land use types at the macro-scale as a whole during 2000-2035. The LUCC process was simulated at a high spatial resolution with the spatial consideration of land use spatial policies and restrictions to satisfy the balance between land use demand and supply by using the CLUE-S model, and Kappa values of the map simulation are 0.86 and 0.81 in 2000 and 2005, respectively. Finally, we evaluated the macro-ecological effect of LUCC and optimized sce- nario managements of land use by using landscape indices method. The IA approach could be used for better understanding the complexity of land use change and provide scientific support for land use planning and management, and the simulation results also could be used as a source data for scenario analysis of different hydrological and ecological processes based on different un- derlying surface of LUCC.展开更多
Based on the interpretation and vector processing of remote sensing images in 1985 and 2000, the spatial changes of wetland landscape patterns in Dadu River catchment in the last two decades were studied using spatial...Based on the interpretation and vector processing of remote sensing images in 1985 and 2000, the spatial changes of wetland landscape patterns in Dadu River catchment in the last two decades were studied using spatial analysis method. Supported by Apack soft-ware, the indices of wetland landscape pattern were calculated, and the information entropy （IE） was also introduced to show the changes of wetland landscape information. Results showed that wetland landscape in this region was characteristic of patch-corridor-matrix configuration and dominantly consisted of natural wetlands. Landscape patterns changed a little with low fragment and showed concentrated distribution with partial scattered distribution during the period from 1985 to 2000. The values of patch density and convergence index kept stable, and the values of diversity, evenness indices decrease, while dominance and and IE showed a slight fractal dimension indices were increased. All types of wetland landscapes had higher adjacency probabilities with grassland landscape in 1985 and 2000, and there was extremely weak hydrological link and large spatial gap among river, glacier, reservoir and pond wetlands due to low adjacency matrix values. Since their cumulative contribution exceeded 81% through the PCA analysis, the agriculture activities would be the main driving force to the landscape changes during the past 15 years.展开更多
文摘Land use is shaped by the interactions between nature and society, and these interactions can inhibit environmental sustainability and deplete the natural capital that provides the ecosystem services upon which humans depend. Urbanity Index and Landscape Vulnerability Indicator have been proposed to improve the impact interpretability of land use changes on sub-basin sustainability for local scenarios of biodiversity conservation. A time series of LandSat 5 Thematic Mapper remote sensing data from São Carlos municipality, Southeastern Brazil, for the years 1989, 2004 and 2014 revealed that land use changes in the sub-basins do not take place in a progressive and gradual way. Over the 25-year period, the main trends showed the loss and increase of forest cover so that it has remained quantitatively similar over time due to reduced agricultural land use. The aggregation of both indicators enabled the identification of greater naturalness and lower vulnerability, as well as lower naturalness and higher vulnerability under local sub-basin conditions, pointing the need for different strategies for sub-basin biodiversity conservation and sustainability. These preliminary scenarios provide a way to communicate problems of environmental sustainability at different landscape scales to the scientific community as well as to planners, policy makers and the broader public.
文摘Recent evidence suggests that Brazilian Cerrado has been largely converted, mainly due to agribusiness activities and urbanization. Thus, the present work aimed to obtain the diagnosis of a watershed characterized by the expansion of sugar cane fields in the Brazilian Cerrado (Southeastern), employing integrity landscape indicators (Hemeroby, Urbanity Index, Landscape Vulnerability Index, and Water Quality Index) to verify the landscape naturalness, and the consequences of these actions to the ecosystem services provision. Remote sensing data for the years 1998, 2008, and 2018 were employed to verify the land-use changes in the Feijão River watershed (southeastern Brazil), as well as a matrix that considers the land use typologies and their capability to provide ecosystem services. The study area is classified as mixed land use, with the main categories related to agribusiness (sugar cane, pasture, bare soil). The Hemeroby and Urban Index denote naturalness declines over the years, and the observed patterns negatively impact ecosystem service provision. Landscape Vulnerability Index and Water Quality Index demonstrated that remaining vegetation cannot effectively retain pollutants, and severe impairments in the resilience of natural components of key ecosystem service providers (i.e. water and native vegetation) were observed. The results allowed the identification of priority areas for recovery and the maintenance of ecosystem services in agricultural lands.
基金supported by the National Basic Research Program of China (Contract No. 91125019)National Natural Science Foundation of China (Contract Nos.40971291,40901291)
文摘Land use/cover change （LUCC） models are helpful tools for analyzing driving forces and processes of land use changes, assessing ecological impacts of land use change and decision-making for land use planning. However, no single model is able to capture all the essential key processes to explore land use change at different spatial-temporal scales and make a full assessment of driving factors and macro-ecological impacts. Taken Ganzhou District as a case study, this paper describes an integrated analysis （IA） ap- proach by combining with system dynamics （SD） model, the Conversion of Land Use and its Effects at Small regional extent （CLUE-S） model and landscape indices method to analyze land use dynamics at different spatial-temporal scales. The SD model was used to calculate and predict demands for different land use types at the macro-scale as a whole during 2000-2035. The LUCC process was simulated at a high spatial resolution with the spatial consideration of land use spatial policies and restrictions to satisfy the balance between land use demand and supply by using the CLUE-S model, and Kappa values of the map simulation are 0.86 and 0.81 in 2000 and 2005, respectively. Finally, we evaluated the macro-ecological effect of LUCC and optimized sce- nario managements of land use by using landscape indices method. The IA approach could be used for better understanding the complexity of land use change and provide scientific support for land use planning and management, and the simulation results also could be used as a source data for scenario analysis of different hydrological and ecological processes based on different un- derlying surface of LUCC.
文摘Based on the interpretation and vector processing of remote sensing images in 1985 and 2000, the spatial changes of wetland landscape patterns in Dadu River catchment in the last two decades were studied using spatial analysis method. Supported by Apack soft-ware, the indices of wetland landscape pattern were calculated, and the information entropy （IE） was also introduced to show the changes of wetland landscape information. Results showed that wetland landscape in this region was characteristic of patch-corridor-matrix configuration and dominantly consisted of natural wetlands. Landscape patterns changed a little with low fragment and showed concentrated distribution with partial scattered distribution during the period from 1985 to 2000. The values of patch density and convergence index kept stable, and the values of diversity, evenness indices decrease, while dominance and and IE showed a slight fractal dimension indices were increased. All types of wetland landscapes had higher adjacency probabilities with grassland landscape in 1985 and 2000, and there was extremely weak hydrological link and large spatial gap among river, glacier, reservoir and pond wetlands due to low adjacency matrix values. Since their cumulative contribution exceeded 81% through the PCA analysis, the agriculture activities would be the main driving force to the landscape changes during the past 15 years.
