Trade-offs and synergy intensity among ecosystem services and driving factors in main grain-producing areas of Northern Anhui Province

Hu Hebing; Shen Xuemeng; Huang Zhixiang; Zhang Menglei

doi:10.13961/j.cnki.stbctb.2025.02.038

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Trade-offs and synergy intensity among ecosystem services and driving factors in main grain-producing areas of Northern Anhui Province

- Trade-offs and synergy intensity among ecosystem services and driving factors in main grain-producing areas of Northern Anhui Province
- Bulletin of Soiland Water Conservation Vol. 45, Issue 2, Pages: 383-396(2025)
- 作者机构：
  
  1. 阜阳师范大学淮河流域地理过程与环境演变研究中心,安徽,阜阳,236037
  2. 阜阳师范大学历史文化与旅游学院,安徽,阜阳,236037
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2025.02.038
  CLC： X171.1
- Online First：16 May 2025，
  
  Published：2025
- 稿件说明：
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Hu Hebing, Shen Xuemeng, Huang Zhixiang, et al. Trade-offs and synergy intensity among ecosystem services and driving factors in main grain-producing areas of Northern Anhui Province[J]. Bulletin of Soiland Water Conservation, 2025, 45(2): 383-396.
DOI：

Hu Hebing, Shen Xuemeng, Huang Zhixiang, et al. Trade-offs and synergy intensity among ecosystem services and driving factors in main grain-producing areas of Northern Anhui Province[J]. Bulletin of Soiland Water Conservation, 2025, 45(2): 383-396. DOI： 10.13961/j.cnki.stbctb.2025.02.038.

摘要

[目的] 探究粮食主产区不同生态系统服务之间权衡/协同关系的作用强度及其驱动因素，为区域生态系统服务管理提供理论支撑与决策依据。[方法] 以皖北粮食主产区为研究对象，在测定2000—2023年产水量、碳储存、土壤保持、生境质量和粮食生产力5种生态系统服务的基础上，运用Morans’ I度量各生态系统服务的空间自相关性，构建动态权衡协同度(DESTI)模型量化23 a间5种生态系统服务变化量的权衡/协同关系作用强度和方向，利用最优参数地理探测器(OPGD)探求自然与社会因子对其的驱动力。[结果] ①近23 a来，皖北粮食主产区粮食生产力服务提升91.97%，其余各生态系统服务均有所下降。②5种生态系统服务间权衡/协同作用强度和方向存在较强空间异质性，呈现条带型、点状型、均质型和离散型4种空间格局，且以条带型和点状型为主。③生态系统服务权衡/协同强度受自然因素(土壤侵蚀力、NDVI)的驱动作用明显，自然与社会的交互作用也增强了权衡协同的空间差异。[结论] 皖北粮食主产区生态系统服务权衡协同作用强度存在显著的空间异质性，自然因素为主要驱动因素，且自然与社会的交互作用增强了其空间差异。

Abstract

[Objective] The strength and driving factors of trade-offs and synergies among different ecosystem services in major grain-producing areas were explored

in order to provide theoretical support and a decision-making basis for the management of regional ecosystem services. [Methods] Taking Northern Anhui Province as the research object

this study measured the five ecosystem services of water production

carbon storage

soil conservation

habitat quality

and grain productivity from 2000 to 2023

and used Moran’s I to measure the spatial autocorrelation of each element. The dynamic ecosystem synergistic trade-off index was used to quantify the strength of the trade-off/synergistic relationships between the changes in each ecosystem service over a 23-year period

and an optimal parameters-based geographic detector was used to identify the driving forces of natural and social factors. [Results] ① Over the past 23 years

the internal grain productivity service in Northern Anhui Province’s grain-producing area has increased by 91.97%

whereas other ecosystem services have decreased. ② The characteristics of the trade-off/synergistic relationships between ecosystem services are spatially heterogeneous; they are divided into four categories: strip-shaped

point-shaped

homogeneous

and scattered. The main supporting services have significantly influenced the spatial distribution of trade-off/synergistic relationships between different ecosystem services. ③ The intensity of the ecosystem service trade-off/synergy is driven by natural factors (soil erosion power

NDVI). The interaction between natural and social factors also enhances spatial differences in trade-off synergy. [Conclusion] There is significant spatial heterogeneity in the synergistic effects of ecosystem service trade-offs in the main grain-producing areas of Northern Anhui Province. Natural factors are the chief driving factors

and the interaction between nature and society enhances spatial differences.

关键词

Keywords

references

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