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| 近30年唐山市生态服务价值空间分异及地理探测研究 |
| Spatial differentiation of ecosystem service values in Tangshan City over the past 30 years using geographic detection |
| 投稿时间：2021-09-13 |
| DOI：10.13254/j.jare.2021.0617 |
| 中文关键词: 生态系统服务价值，空间相关性，地理探测器，唐山市 |
| 英文关键词: ecosystem service value, spatial correlation, geographic detector, Tangshan City |
| 基金项目:国家自然科学基金项目 （41971260） |
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| 中文摘要: |
| 为定量研究生态系统服务价值（ESV）空间分异演变及驱动因子耦合性作用。以沿海资源城市——唐山市为研究区域，基于1990—2015年土地覆被变化数据，在网格尺度下运用当量因子法、空间相关性分析和地理探测器探讨ESV空间演变特征。结果表明：从时间尺度看，唐山市ESV呈先下降再上升的趋势，近30年ESV共增加8.34亿元，城镇化是其波动的主要原因；耕地、林地和水域是ESV的主要组成部分，研究期间水域ESV增加23.13亿元。从空间尺度来看，唐山市ESV呈现中部低、南北高的空间分布特征，中部矿区生态系统功能脆弱，南部沿海湿地生态系统功能得到提高； ESV空间分布具有明显的正向空间聚集性和相关性。地理探测器结果表明：自然环境因子对ESV空间分异影响显著，土地利用程度解释力在30%以上，是空间分异的主要原因；高程和坡度解释力在20%以上，也发挥重要作用；交互作用类型主要为双因子交互增强和非线性增强，多因子交互作用相对单因子解释力明显增强。 |
| 英文摘要: |
| Conducting quantitative research on the spatial differentiation of ecosystem service value（ESV）and their driving factors is an effective way to achieve ecological and environmental balance. Taking the coastal resource city of Tangshan City as the study area and based on land cover change data from 1990 to 2015, the characteristics of the spatial evolution of ESV were explored at the grid scale using the equivalent factor method, spatial correlation, and geographic detector. The results showed that on a temporal scale, ESV in Tangshan City showed a decreasing and then increasing trend, with a total increase of 834 million yuan in the past 30 years; urbanization was the main reason for the fluctuation. Arable land, forest land, and watersheds were the main components of ESVs, and the value of watersheds increased by 2 313 million yuan during the study period. Spatially, ESV in Tangshan City had spatial distribution characteristics of low in the central and high in the northern and southern regions, respectively, with fragile ecosystem functions in the central mining area and improved ecosystem functions in the southern coastal wetlands. There was obvious positive aggression and correlation in the spatial distribution of ESV. Geographic detectors showed that natural environmental factors significantly influenced the spatial differentiation of ESV, and the explanatory power of land use degree was above 30%, meaning that it was the main reason for the spatial differentiation. The explanatory powers of elevation and slope were above 20%, meaning they also played important roles. The interaction types were mainly two-factor interaction and nonlinear enhancement, and multi-factor interaction had significantly enhanced explanatory power relative to single factors. |
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