Academic Journal
Spatial (Mis)Matches Between Biodiversity and Habitat Quality Under Multi-Scenarios: A Case Study in Shandong Province, Eastern China
| العنوان: | Spatial (Mis)Matches Between Biodiversity and Habitat Quality Under Multi-Scenarios: A Case Study in Shandong Province, Eastern China |
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| المؤلفون: | Xiaoyin Sun, Ruifeng Shan, Qingxin Luan, Yuee Zhang, Zhicong Chen |
| المصدر: | Land, Vol 13, Iss 12, p 2215 (2024) |
| بيانات النشر: | MDPI AG, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Agriculture |
| مصطلحات موضوعية: | habitat quality, InVEST model, biodiversity, ecosystem services, ecological redlines, Grain for Green, Agriculture |
| الوصف: | Despite declines in biodiversity and habitat quality (HQ) at a global scale, our understanding of the HQ and matches between HQ and biodiversity under management scenarios is incomplete. To address this deficiency, the study examined trends in HQ and (mis)matches between biodiversity and HQ over four decades in Shandong province, China, identified the key drivers, and assessed the effectiveness of ecological policies, including Ecological Redlines (ERLs) and the Grain for Green (GG) program. During the 40-year period, HQ and matching degrees (indicated by related coefficients) between biodiversity and HQ decreased obviously. Correlation analysis showed that related coefficients between HQ and four biodiversity indices (vertebrate, vascular plant, and vegetation formation type richness, and comprehensive biodiversity index) were all significant (p < 0.01), and coefficients were highest for the biodiversity composite index. An analysis of relative importance by the random forest algorithm indicated significant variation in driving factors for spatial distribution of HQ, biodiversity, and matches between them. The key determinants of biodiversity distribution were biophysical factors, such as NDVI (normalized difference vegetation index), DEM (digital elevation model), and temperature. However, the main drivers of HQ distribution were social factors, such as the accessibility of anthropogenic activities, urbanization, and population density. Ecological policy scenarios, ERLs and GG, are clearly effective and could improve HQ and the matching degree between HQ and biodiversity significantly. Furthermore, the improvement in HQ under ERLs was less than that under GG, while the increase in the matching degree was opposite. The results of this study can be integrated by ecological managers and planners for biodiversity conservation. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 13122215 2073-445X |
| Relation: | https://www.mdpi.com/2073-445X/13/12/2215; https://doaj.org/toc/2073-445X |
| DOI: | 10.3390/land13122215 |
| URL الوصول: | https://doaj.org/article/320df932f2af4176bf185d802ace521f |
| رقم الانضمام: | edsdoj.320df932f2af4176bf185d802ace521f |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 13122215 2073445X |
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| DOI: | 10.3390/land13122215 |