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Land use and habitat quality change in the Yellow River Basin: A perspective with different CMIP6-based scenarios and multiple scales.
Ji, Xianglin; Sun, Yilin; Guo, Wei; Zhao, Chuanwu; Li, Kai.
Afiliação
  • Ji X; State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, CHN Energy Shendong Coal Group Co., Ltd., Beijing, 102211, China; School of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, China; National Institute of Clean-and-Low-C
  • Sun Y; School of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, China. Electronic address: sun_yilin@yeah.net.
  • Guo W; State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, CHN Energy Shendong Coal Group Co., Ltd., Beijing, 102211, China; School of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, China; National Institute of Clean-and-Low-C
  • Zhao C; Institute of Remote Sensing Science and Engineering, Department of Geographic Science, Beijing Normal University, Beijing, 100875, China. Electronic address: 202131051034@mail.bnu.edu.cn.
  • Li K; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: lk@lreis.ac.cn.
J Environ Manage ; 345: 118729, 2023 Nov 01.
Article em En | MEDLINE | ID: mdl-37542811
Studying the spatial distribution of land use/land cover (LULC) and habitat quality (HQ), influenced by both climate change and socio-economic factors, holds immense importance for fostering ecological sustainability. The previous scale setting was based on changes in granularity and division of spatial ranges, without considering the differences in land quantity structure and spatial expansion under different spatial ranges. Therefore, this study is based on climate and economic data at different spatial scales to determine the various land demands of provinces (YRB-P) and integration of provinces (YRB-I) in the Yellow River Basin, and to limit the expansion of LULC in corresponding regions. At the same time, we have also established three future scenarios representing different development speeds based on the latest path of shared socio-economic development in CMIP6. We found exhibit significant characteristics in ecological responses under combinations of different scales and scenarios. Shandong and Henan Provinces are the main gathering (38.7-41.7%, 24.1-26.5%) and expansion (68.54-85.99 × 102km2, 18.89-34.12 × 102km2) provinces of built-up land under the YRB-P scale, and their HQ (0.260-0.397) are significantly lower than the average HQ (0.619-0.654). Forest land, grassland, and high value regions of HQ show "45°" distribution at two scales, with high and low values clearly clustered (Moran's I is 0.5440-0.580). The HQ evolution region is larger and more dispersed at the YRB-P scale, but accumulates in local areas at the YRB-I scale. In addition, the highest and lowest HQ mean values appear under the low speed development scenario at the YRB-P scale (0.721) and the rapid development scenario at the YRB-I scale (0.689), respectively. This study helps decision-makers control different scales and development scenarios to improve the ecological level of the study area.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Florestas / Rios Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: J Environ Manage Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Florestas / Rios Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: J Environ Manage Ano de publicação: 2023 Tipo de documento: Article