| 黄河流域生态系统服务权衡协同关系及其时空异质性 |
| 摘要点击 1239 全文点击 155 投稿时间：2024-02-26 修订日期：2024-04-28 |
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| 中文关键词 生态系统服务价值 权衡与协同 时空非平稳响应 GWLR模型 黄河流域 |
| 英文关键词 ecosystem service value trade-off and synergy spatiotemporal non-stationary response GWLR model Yellow River Basin |
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| 中文摘要 |
| 探析生态系统服务之间权衡协同关系及其内在影响机制,对提高生态系统的整体效益,保障生态系统服务的可持续供给至关重要. 以黄河流域499个县域为研究对象,在测度黄河流域各县域生态系统服务价值的基础上,采用Pearson相关系数法测度各县域的权衡与协同关系,并构建地理加权逻辑回归（GWLR）模型考察权衡协同与各影响因素之间的时空异质性. 结果表明：①2001~2021年黄河流域生态系统服务价值先上升再下降最后上升,呈现“下游低、中上游高”的空间分布格局. ②通过对生态系统服务进行权衡与协同分析,发现研究期内黄河流域各生态系统服务之间的权衡关系存在于食物生产与调节服务和支持服务之间,协同关系存在于调节服务和支持服务内部及其二者之间. ③通过对潜在因子进行初次筛选和二次筛选,得到建设用地占比变化、年均归一化植被指数（NDVI）变化、年均降水量变化、年均温度变化、人口密度变化和GDP变化6个自变量对6组生态系统服务之间的关系影响较为显著. ④与其他因子相比,建设用地占比变化和年均温度变化,对生态系统服务权衡协同的时空非平稳响应更强烈. 研究结果有利于优化黄河流域生态系统服务效益,为制定精细化的管理措施和政策提供支持. |
| 英文摘要 |
| Exploring the trade-off and synergy between ecosystem services and their intrinsic impact mechanisms is crucial for improving the overall efficiency of ecosystems and ensuring the sustainable supply of ecosystem services. This study takes the 499 counties in the Yellow River Basin as the research object, uses the Pearson correlation coefficient method to measure the trade-off and synergy among counties, and constructs a geographically weighted logistic regression（GWLR） model to examine the spatiotemporal heterogeneity between balancing synergy and various influencing factors. The results showed that： ① From 2001 to 2021, the ecosystem service value of the Yellow River Basin first increased, then decreased, and finally increased, showing a spatial distribution pattern of “lower in the downstream, higher in the upper and middle reaches.” ② Through balancing and collaborative analysis of ecosystem services, it was observed that a balancing relationship between various ecosystem services in the Yellow River Basin during the research period existed between food production and regulation services and support services, and a synergistic relationship existed within and between regulation services and support services. ③ Through initial and secondary screening of potential factors, it was found that six independent variables, including changes in the proportion of construction land, annual average NDVI, annual average precipitation, annual average temperature, population density, and GDP, had a significant impact on the relationship between six groups of ecosystem services. ④ Compared with other factors, changes in the proportion of construction land and the annual average temperature had a stronger spatiotemporal non-stationary response to the balance and synergy of ecosystem services. The research results are beneficial for optimizing ecosystem service efficiency in the Yellow River Basin and providing support for the formulation of refined management measures and policies. |
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