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-Carbon Energy, Beijing, 102211, China.
School of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, China.
J Environ Manage. 2023 Nov 1;345:118729. doi: 10.1016/j.jenvman.2023.118729. Epub 2023 Aug 3.
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 × 10km, 18.89-34.12 × 10km) 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.
研究土地利用/土地覆被（LULC）和生境质量（HQ）的空间分布，受气候变化和社会经济因素的影响，对于促进生态可持续性具有重要意义。之前的尺度设置是基于粒度和空间范围的划分变化，而没有考虑到不同空间范围内土地数量结构和空间扩张的差异。因此，本研究基于不同空间尺度的气候和经济数据，确定黄河流域各省份（YRB-P）和整合省份（YRB-I）的各种土地需求，并限制相应区域 LULC 的扩张。同时，我们还根据最新的 CMIP6 共享社会经济发展路径，建立了三个代表不同发展速度的未来情景。我们发现，在不同尺度和情景的组合下，生态响应表现出显著的特征。在 YRB-P 尺度下，山东省和河南省是建设用地的主要集聚（38.7-41.7%，24.1-26.5%）和扩张（68.54-85.99×10km，18.89-34.12×10km）省份，其 HQ（0.260-0.397）明显低于平均 HQ（0.619-0.654）。森林、草地和 HQ 高值区在两个尺度上呈“45°”分布，高低值明显聚类（Moran's I 为 0.5440-0.580）。YRB-P 尺度上 HQ 演变区域较大且较为分散，但在 YRB-I 尺度上则集中在局部地区。此外，YRB-P 尺度下低速发展情景下 HQ 的最高和最低均值分别为 0.721，YRB-I 尺度下快速发展情景下 HQ 的最低均值为 0.689。本研究有助于决策者控制不同尺度和发展情景，以提高研究区域的生态水平。
