石漠化地区植被活力与贫困转型的时空权衡与协同。
Spatiotemporal tradeoffs and synergies in vegetation vitality and poverty transition in rocky desertification area.
机构信息
School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; Key Laboratory of Soil and Water Conservation of State Forestry Administration, Beijing Forestry University, Beijing 100083, China; Jianshui Research Station, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
Environment Management Laboratory, Mykolas Romeris University, Ateities g. 20, LT-08303 Vilnius, Lithuania.
出版信息
Sci Total Environ. 2021 Jan 15;752:141770. doi: 10.1016/j.scitotenv.2020.141770. Epub 2020 Aug 19.
Vegetation recovery and poverty alleviation are critical problems in the karst national designed poor counties (NPDC) in southwest China. However, little information is available about the relationship between poverty and vegetation dynamics in these areas. In this study, we used remote sensing and statistical datasets from 2000 to 2015 to identify the relations between vegetation dynamics and poverty among the NPDC in southwest rocky desertification areas. We estimated the vegetation dynamics using the Normalized Difference Vegetation Index and poverty with the rural per capita net income. Local indicator of spatial association and the space-time transition type of poverty were applied to identify spatial patterns of the poverty spatial distribution relationship and transition. Also, poverty, natural and ecological governance factors were assessed using the Geo-detector method to uncover the driving factors of karst vegetation. The results showed that vegetation increased significantly (p < 0.05) in karst NPDC (82.82%) and rocky desertification control counties (78.77%). The karst NPDC was significantly clustered. The hot spots of rural per capita net income changed from west and north (2000) to only north (2015) and cold spots changed from east and south (2000) to only south (2015). The rural per capita net income spatiotemporal transition was higher in 2000 than in 2015. We found a weak synergy between vegetation change and poverty type transition in 42.86% of the browning counties, 45.45% in the slowly greening counties, and 43.65% in stable greening counties. However, 57.50% of counties in the quick greening counties showed a tradeoff relationship with the poverty type transition. The rocky desertification rate and ecological engineering measures affected vegetation dynamics importantly. The results will help decision-makers to understand the interdependence between vegetation and poverty. This will contribute to better policies formulation to tackle poverty in the karst rocky desertification area.
植被恢复和减贫是中国西南喀斯特国家扶贫开发重点县（NPDC）面临的关键问题。然而，关于这些地区贫困与植被动态之间的关系，信息却很少。本研究利用 2000 年至 2015 年的遥感和统计数据集，确定了西南喀斯特石漠化地区 NPDC 中植被动态与贫困之间的关系。我们使用归一化差异植被指数（NDVI）来估计植被动态，使用农村人均纯收入来估计贫困。我们应用局部空间关联指标和贫困时空转移类型来识别贫困空间分布关系和转移的空间格局。还利用地理探测器方法评估了贫困、自然和生态治理因素，以揭示喀斯特植被的驱动因素。结果表明，喀斯特 NPDC（82.82%）和石漠化治理县（78.77%）的植被明显增加（p<0.05）。喀斯特 NPDC 呈显著集聚分布。农村人均纯收入热点从西部和北部（2000 年）变为仅北部（2015 年），冷点从东部和南部（2000 年）变为仅南部（2015 年）。2000 年与 2015 年相比，农村人均纯收入的时空转移率更高。在 42.86%的变褐县、45.45%的缓慢绿化县和 43.65%的稳定绿化县中，发现植被变化与贫困类型转换之间存在较弱的协同作用。然而，在快速绿化县的 57.50%的县中，表现出与贫困类型转换的权衡关系。石漠化率和生态工程措施对植被动态有重要影响。研究结果将有助于决策者了解植被与贫困之间的相互依存关系。这将有助于制定更好的政策来解决喀斯特石漠化地区的贫困问题。
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