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Exploring spatio-temporal variations of habitat loss and its causal factors in the Shenzhen River cross-border watershed
Institution:1. Instituto de Matemática de Bahia Blanca (INMABB) and Department of Economics, Universidad Nacional del Sur, Campus Altos del Palihue, Bahia Blanca, Buenos Aires 8000, Argentina;2. Instituto de Investigaciones Económicas y Sociales del Sur (IIESS) and Department of Economics, Universidad Nacional del Sur, Campus Altos del Palihue, Bahia Blanca, Buenos Aires 8000, Argentina;1. Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China;2. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;1. Department of Land Resource Management, School of Public Administration, China University of Geosciences, 430074 Wuhan, China;2. Key Labs of Law Evaluation of Ministry of Land and Resources of China, 430074 Wuhan, China;1. Hospital Universitario Fundación Alcorcón, Alcorcón, Madrid, Spain;2. Unidad de Digestivo, Departamento de Medicina, Facultad de Ciencias de la Salud, Universidad Rey Juan Carlos, Móstoles, Madrid, Spain;3. Centro de Salud Ramón y Cajal, Dirección Asistencial Oeste, Madrid, Spain;4. Centro de Salud Gregorio Marañón, Dirección Asistencial Oeste, Madrid, Spain;5. Centro de Salud Miguel Servet, Dirección Asistencial Oeste, Madrid, Spain;6. Centro de Salud Los Castillos, Dirección Asistencial Oeste, Madrid, Spain;7. Servicio de Medicina Preventiva, Departamento de Medicina Preventiva y Salud Pública, Facultad Ciencias de la Salud, Universidad Rey Juan Carlos, Alcorcón, Madrid, Spain;1. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, Shaanxi, China;2. Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, Shaanxi, China;3. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;4. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:Understanding the mechanisms that underlie habitat loss is fundamental to nature conservation. Habitat loss and its related factors are location dependent, but their spatial variations across geographical space are poorly understood. This research attempts to explore the spatio-temporal variations of human and biophysical factors of habitat loss in the Shenzhen River watershed, a border region shared by the Hong Kong Special Administrative Region (SAR) and Shenzhen in China. Habitat loss was quantified through the comparison of historical land cover maps in 1988/1998/2008, derived from the Landsat imagery. The different degree of habitat loss is further considered by referring to loss of ecosystem services during habitat alteration or destruction processes. In order to examine how influencing factors change with space, the model of geographically weighted regression (GWR) was employed. The GWR model was proved to be effective in revealing a spatially varying relationship, and has better performance compared with the global regression model. The results also provided the detailed site information of the different roles of the related factors across the different locations. Various factors, especially the human-related ones, played a significant role in determining both the “rate” and “location” of habitat loss, and the influences also varied during the entire study period. These results could provide comprehensive information for future habitat conservation and cross-border watershed management.
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