Ecosystem service supply and demand relationship and spatial identification of driving threshold in Loess Plateau of China

IF 3.9 2区环境科学与生态学 Q1 ECOLOGY

Ecological Engineering Pub Date : 2025-02-01 DOI:10.1016/j.ecoleng.2025.107534

Haihong Qiu , Yingchen Bai , Hairong Han , Jiaying Zhang , Xiaoqin Cheng

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引用次数: 0

Abstract

Systematically reveals the relationship between supply and demand of ecosystem services (ESs) and the spatial identification of driving thresholds. It is of great significance for the revelation of ecosystem service patterns, problem identification and optimal management. In this study, the evolution law and driving mechanism of ecosystem service supply and demand characteristics in the Loess Plateau from 2010 to 2020 were explored, based on the InVEST model and correlation analysis. The driving threshold spatial application geoprobe model for ecosystem supply and demand balance was identified. The results show that: (1) The findings indicated that between 2010 and 2020, there was a rising pattern in the supply and demand for carbon storage (CS), habitat quality (HQ), and soil conservation (SC). Yet the availability of water yield (WY) diminished as their demand escalated. There was a clear spatial mismatch between supply and demand for HQ and WY. (2) All ESs supply correlations were synergistic. While ESs demand correlations were dominated by carbon-soil and water-soil imbalances. There was a notable interplay between the supply and demand at SC and HQ, alongside a notable compromise between CS and WY. This suggested an imbalance in carbon and water. (3) Climatic and topographic factors were predominantly located in the southeast and northwest for ESs suitability thresholds. SC and HQ demonstrated a balanced relationship between supply and demand within a vegetation factor threshold of 0.69–0.82. Among the socio-economic drivers, WY was mainly distributed in economically developed regions. This study provides some scientific support and insights for regional sustainable development and management.

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黄土高原生态系统服务供需关系及驱动阈值空间识别

系统地揭示了生态系统服务供给与需求的关系以及驱动阈值的空间识别。这对揭示生态系统服务模式、识别问题和优化管理具有重要意义。基于InVEST模型和相关分析，探讨了2010 - 2020年黄土高原生态系统服务供需特征的演化规律及驱动机制。建立了生态系统供需平衡驱动阈值空间应用地球探针模型。结果表明：(1)2010 ~ 2020年，森林碳储量（CS）、生境质量（HQ）和土壤保持（SC）的供需呈上升趋势；然而，随着需求的增加，可用水量（WY）减少了。总部和WY的供应和需求在空间上明显不匹配。(2)所有ESs供给相关性均具有协同效应。而低碳需求相关性主要由碳-土和水-土失衡所主导。SC和总部的供需之间存在着显著的相互作用，CS和WY之间也存在着显著的妥协。这表明碳和水的不平衡。(3)影响生态系统适宜性阈值的气候和地形因子主要分布在东南和西北。在0.69-0.82植被因子阈值范围内，SC和HQ表现出平衡的供需关系。在社会经济驱动因素中，WY主要分布在经济发达地区。本研究为区域可持续发展与管理提供了一定的科学依据和启示。

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来源期刊

Ecological Engineering 环境科学-工程：环境

CiteScore

8.00

自引率

5.30%

发文量

293

审稿时长

57 days

期刊介绍： Ecological engineering has been defined as the design of ecosystems for the mutual benefit of humans and nature. The journal is meant for ecologists who, because of their research interests or occupation, are involved in designing, monitoring, or restoring ecosystems, and can serve as a bridge between ecologists and engineers. Specific topics covered in the journal include: habitat reconstruction; ecotechnology; synthetic ecology; bioengineering; restoration ecology; ecology conservation; ecosystem rehabilitation; stream and river restoration; reclamation ecology; non-renewable resource conservation. Descriptions of specific applications of ecological engineering are acceptable only when situated within context of adding novelty to current research and emphasizing ecosystem restoration. We do not accept purely descriptive reports on ecosystem structures (such as vegetation surveys), purely physical assessment of materials that can be used for ecological restoration, small-model studies carried out in the laboratory or greenhouse with artificial (waste)water or crop studies, or case studies on conventional wastewater treatment and eutrophication that do not offer an ecosystem restoration approach within the paper.