The Experts below are selected from a list of 9804 Experts worldwide ranked by ideXlab platform
Guodong Wang - One of the best experts on this subject based on the ideXlab platform.
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the application of species distribution modeling in Wetland Restoration a case study in the songnen plain northeast china
Ecological Indicators, 2021Co-Authors: Yehui Zhong, Zhenshan Xue, Ming Jiang, Bo Liu, Guodong WangAbstract:Abstract Species distribution models (SDMs) are an effective tool in ecological Restoration, but the application of SDMs in Wetland Restoration is rare owing to limited survey data. Based on field survey of the iconic, widespread Wetland species Phragmites australis (Poaceae), we built maximum entropy (MaxEnt) models to study the current and future delimitation of Wetlands in the Songnen Plain in Northeast China. In building the model, we evaluated the selection of environmental predictors and data resolutions. The evaluation showed the addition of soil and topo-hydrological (e.g. slope, Topographic Wetness Index, water table depth) variables significantly improved model performance in comparison with climate-only models, and the best model performance was under spatial resolution of 250 m. This study found that Wetlands of the Songnen Plain are facing threats from climate change and anthropogenic expansion. The selected models predicted approximately a 15% net loss in suitable habitats, as well as expansion trends towards more humid and higher altitude areas in the future. Based on the modeling results, we delimited 1.51 × 103 km2 and 1.48 × 103 km2 of potential Wetland Restoration areas under RCP 4.5 and RCP 8.5 scenarios, respectively. Our study highlighted the importance of optimizing the selection of variables and spatial resolution in the application of SDMs in Wetlands, and illuminated priority areas of the Songnen Plain for consideration in future Wetland Restoration efforts.
Barbara A. Kleiss - One of the best experts on this subject based on the ideXlab platform.
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Availability of an ArcGIS Wetland Restoration Spatial Decision Support System (SDSS) Tool
2007Co-Authors: Jeff P. Lin, Barbara A. KleissAbstract:Abstract : This technical note announces the availability of a tool developed by the U.S. Army Engineer Research and Development Center (ERDC). The tool and accompanying user's guide can be used to create an ArcGIS-based Wetland Restoration spatial decision support system (SDSS) tool. An SDSS is useful for evaluating and comparing multiple areas across a large study area, and works by scaling and combining multiple, spatially explicit data layers within a geographic information system (GIS). The purpose of this tool and user's guide is to help those involved in Wetland Restoration planning create their own area-specific, GIS-based Wetland Restoration SDSS, which can be used to identify and evaluate potential Wetland Restoration sites at a landscape or watershed scale.
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A Wetland Restoration Spatial Decision Support System for the Mississippi Gulf Coast
2007Co-Authors: Jeff P. Lin, Barbara A. KleissAbstract:Abstract : The Engineer Research and Development Center, Environmental Laboratory, has created a Wetlands Restoration Spatial Decision Support System (SDSS) based on Geographic Information System (GIS) tools. SDSS will be used to identify and prioritize potential Wetland Restoration areas along the Mississippi Gulf Coast as part of the non-structural solutions planned for that area following Hurricane Katrina. Advantages of the SDSS approach include relatively rapid identification and assessment of a large number of Restoration sites across a wide area. Potential sites can also be evaluated and restored in a watershed or landscape context, maximizing the benefits of Wetland Restoration.
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Creating a Wetland Restoration decision support system using GIS tools
2006Co-Authors: Jeff P. Lin, Scott G Bourne, Barbara A. KleissAbstract:This technical note is a product of the Ecosystem Management and Restoration Research Program (EMRRP) work unit titled “Development of a Spatially Explicit Decision Support System for Prioritizing Wetland Restoration Areas.” This technical note discusses the potential development and application of a generalized, GIS-based Wetland Restoration decision support system (DSS) using ArcView ® ModelBuilder. The discussion includes the general steps needed in creating a Wetland Restoration DSS, the types of digital data that can be useful in performing these types of evaluations, and an example of a specific Restoration DSS created using ModelBuilder.
Bai Zhang - One of the best experts on this subject based on the ideXlab platform.
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Remote sensing and GIS support to identify potential areas for Wetland Restoration from cropland: a case study in the West Songnen Plain, Northeast China.
Sustainability, 2018Co-Authors: Ling Luo, Zongming Wang, Dehua Mao, Hengqi Yan, Bai ZhangAbstract:Wetland Restoration is important to responding to climate change and ensuring ecological security. In terms of the serious Wetland loss and limited Wetland Restoration in China, there is a need to investigate approaches to identifying potential areas for Wetland Restoration from cropland, in order to support making spatial decisions at a regional scale. Here, we provide an example of integrating remote sensing (RS) and geographical information systems (GIS) effectively to identify where and how many croplands could be converted into Wetlands in the West Songnen Plain (WSNP). The map of potential areas for Wetland Restoration from croplands generated in this study is expected to help decision makers to implement Wetland Restoration in the WSNP. Besides the widely highlighted hydrological, topographical, and landscape features, four indicators, namely, flooded area, time under cultivation, human disturbance, and Wetland conservation level, were selected to identify the potential areas for Wetland Restoration—with different priorities—from croplands. Satellite observation revealed that a total of 2753.3 km2 of Wetlands have been cultivated into croplands for grain production from 1990 to 2015 in the WSNP. It is estimated that 8882.1 km2 of croplands are suitable for conversion to Wetlands, of which 3706 km2 (29.4%) are with high priority, and 44.5% are from dry farmlands. A total of 3284.7 km2 of paddy fields are identified to be potential areas for Wetland Restoration, of which 1119.6 km2 are high priority, and another 2165.1 km2 are medium priority.
Yehui Zhong - One of the best experts on this subject based on the ideXlab platform.
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the application of species distribution modeling in Wetland Restoration a case study in the songnen plain northeast china
Ecological Indicators, 2021Co-Authors: Yehui Zhong, Zhenshan Xue, Ming Jiang, Bo Liu, Guodong WangAbstract:Abstract Species distribution models (SDMs) are an effective tool in ecological Restoration, but the application of SDMs in Wetland Restoration is rare owing to limited survey data. Based on field survey of the iconic, widespread Wetland species Phragmites australis (Poaceae), we built maximum entropy (MaxEnt) models to study the current and future delimitation of Wetlands in the Songnen Plain in Northeast China. In building the model, we evaluated the selection of environmental predictors and data resolutions. The evaluation showed the addition of soil and topo-hydrological (e.g. slope, Topographic Wetness Index, water table depth) variables significantly improved model performance in comparison with climate-only models, and the best model performance was under spatial resolution of 250 m. This study found that Wetlands of the Songnen Plain are facing threats from climate change and anthropogenic expansion. The selected models predicted approximately a 15% net loss in suitable habitats, as well as expansion trends towards more humid and higher altitude areas in the future. Based on the modeling results, we delimited 1.51 × 103 km2 and 1.48 × 103 km2 of potential Wetland Restoration areas under RCP 4.5 and RCP 8.5 scenarios, respectively. Our study highlighted the importance of optimizing the selection of variables and spatial resolution in the application of SDMs in Wetlands, and illuminated priority areas of the Songnen Plain for consideration in future Wetland Restoration efforts.
Jeff P. Lin - One of the best experts on this subject based on the ideXlab platform.
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Availability of an ArcGIS Wetland Restoration Spatial Decision Support System (SDSS) Tool
2007Co-Authors: Jeff P. Lin, Barbara A. KleissAbstract:Abstract : This technical note announces the availability of a tool developed by the U.S. Army Engineer Research and Development Center (ERDC). The tool and accompanying user's guide can be used to create an ArcGIS-based Wetland Restoration spatial decision support system (SDSS) tool. An SDSS is useful for evaluating and comparing multiple areas across a large study area, and works by scaling and combining multiple, spatially explicit data layers within a geographic information system (GIS). The purpose of this tool and user's guide is to help those involved in Wetland Restoration planning create their own area-specific, GIS-based Wetland Restoration SDSS, which can be used to identify and evaluate potential Wetland Restoration sites at a landscape or watershed scale.
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A Wetland Restoration Spatial Decision Support System for the Mississippi Gulf Coast
2007Co-Authors: Jeff P. Lin, Barbara A. KleissAbstract:Abstract : The Engineer Research and Development Center, Environmental Laboratory, has created a Wetlands Restoration Spatial Decision Support System (SDSS) based on Geographic Information System (GIS) tools. SDSS will be used to identify and prioritize potential Wetland Restoration areas along the Mississippi Gulf Coast as part of the non-structural solutions planned for that area following Hurricane Katrina. Advantages of the SDSS approach include relatively rapid identification and assessment of a large number of Restoration sites across a wide area. Potential sites can also be evaluated and restored in a watershed or landscape context, maximizing the benefits of Wetland Restoration.
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Creating a Wetland Restoration decision support system using GIS tools
2006Co-Authors: Jeff P. Lin, Scott G Bourne, Barbara A. KleissAbstract:This technical note is a product of the Ecosystem Management and Restoration Research Program (EMRRP) work unit titled “Development of a Spatially Explicit Decision Support System for Prioritizing Wetland Restoration Areas.” This technical note discusses the potential development and application of a generalized, GIS-based Wetland Restoration decision support system (DSS) using ArcView ® ModelBuilder. The discussion includes the general steps needed in creating a Wetland Restoration DSS, the types of digital data that can be useful in performing these types of evaluations, and an example of a specific Restoration DSS created using ModelBuilder.
