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An R-Based Landscape Validation of a Competing Risk Model
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生态系统服务价值与景观生态风险及其空间异质性之间的相关性在吉林省,中国
Shi-Hao Liang1, Wen Li1, Yu Gao2
1College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China.
Ying yong sheng tai xue bao = The journal of applied ecology
|April 22, 2024
概括
吉林省的生态系统服务价值 (ESV) 在2000年至2020年期间下降,西部的生态风险更高. 土地利用和人类活动对生态风险和ESV都有重大影响,需要有针对性的管理策略.
科学领域:
- 生态经济学生态经济学
- 环境科学环境科学
- 地理信息科学 地理信息科学
背景情况:
- 了解生态系统服务价值 (ESV) 和景观生态风险之间的相互作用对于区域生态安全和可持续发展至关重要.
- 吉林省2000-2020年的土地使用数据为评估这些生态动态提供了基础.
研究的目的:
- 评估吉林省ESV和景观生态风险的时空变化.
- 分析ESV和景观生态风险之间的相关性.
- 确定ESV和景观生态风险空间差异化背后的关键驱动因素.
主要方法:
- 网格重新采样 (5公里×5公里) 和遥感土地使用数据.
- 对景观生态风险和ESV的定量评估.
- 双变空间自相关性和地理探测器模型.
主要成果:
- 吉林省的ESV从385.895亿元人民币下降到378.211亿元人民币 (2000-2020年).
- 东部地区的生态风险较低,而西部地区的生态风险较高.
- 在景观生态风险和ESV之间发现了显著的负相关性.
结论:
- 人类活动和土地使用类型是生态风险和ESV空间变化的主要驱动因素.
- 有效的土地利用法规和人类活动控制对于吉林省的生态改善至关重要.
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