Ecosystem service bundle index construction, spatiotemporal dynamic display, and driving force analysis

Introduction: Existing studies on ecosystem service relationships are mainly qualitative or semi-quantitative assessments, but lack of quantitative exploration of aggregated ecosystem services and their influencing factors. We mapped the distributions of 12 ecosystem services of Zhejiang Province in...

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Autores principales:	Yiyuan Hong, Qian Ding, Ting Zhou, Lingqiao Kong, Meiye Wang, Jianying Zhang, Wu Yang
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2020
Materias:	ecosystem management synergy trade-off sustainable development structural equation model Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/1c819549fdde455f861a6923e18d0a36
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spelling	oai:doaj.org-article:1c819549fdde455f861a6923e18d0a362021-12-02T16:25:31ZEcosystem service bundle index construction, spatiotemporal dynamic display, and driving force analysis2332-887810.1080/20964129.2020.1843972https://doaj.org/article/1c819549fdde455f861a6923e18d0a362020-12-01T00:00:00Zhttp://dx.doi.org/10.1080/20964129.2020.1843972https://doaj.org/toc/2332-8878Introduction: Existing studies on ecosystem service relationships are mainly qualitative or semi-quantitative assessments, but lack of quantitative exploration of aggregated ecosystem services and their influencing factors. We mapped the distributions of 12 ecosystem services of Zhejiang Province in 2000 and 2015 at the district and county level, analyzed their relationships using Spearman’s correlation analysis, constructed ecosystem service bundle index (ESBI) for each district and county by structural equation model, and then through multiple linear regression, we explored factors associated with ESBI variations. Outcomes: Our results showed that (1) most ecosystem services were spatially clustered. There were synergies between individual ecosystem services in categories of provisioning and regulating services, respectively; (2) our proposed ESBI index system consists of overall index and sub-indices of provisioning, regulating, and cultural services. The higher the ESBI value, the more important the corresponding place for multiple aggregated ecosystem service provision. Compared to 2000, ESBI in 2015 distributed more unevenly, and the average dropped by 3.10%; and (3) the increase of ESBI was associated with its initial value, and four socioeconomic and natural factors; the decrease of ESBI was influenced by the initial value and six key socioeconomic factors. Discussion and Conclusion: Our proposed ESBI system has several advantages (e.g., scale free, flexible weighting, quantitative and continuous indices for further analyses, and alternative non-monetary solution) in understanding and managing relationships among multiple ecosystem services.Yiyuan HongQian DingTing ZhouLingqiao KongMeiye WangJianying ZhangWu YangTaylor & Francis Grouparticleecosystem managementsynergytrade-offsustainable developmentstructural equation modelEcologyQH540-549.5ENEcosystem Health and Sustainability, Vol 6, Iss 1 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	ecosystem management synergy trade-off sustainable development structural equation model Ecology QH540-549.5
spellingShingle	ecosystem management synergy trade-off sustainable development structural equation model Ecology QH540-549.5 Yiyuan Hong Qian Ding Ting Zhou Lingqiao Kong Meiye Wang Jianying Zhang Wu Yang Ecosystem service bundle index construction, spatiotemporal dynamic display, and driving force analysis
description	Introduction: Existing studies on ecosystem service relationships are mainly qualitative or semi-quantitative assessments, but lack of quantitative exploration of aggregated ecosystem services and their influencing factors. We mapped the distributions of 12 ecosystem services of Zhejiang Province in 2000 and 2015 at the district and county level, analyzed their relationships using Spearman’s correlation analysis, constructed ecosystem service bundle index (ESBI) for each district and county by structural equation model, and then through multiple linear regression, we explored factors associated with ESBI variations. Outcomes: Our results showed that (1) most ecosystem services were spatially clustered. There were synergies between individual ecosystem services in categories of provisioning and regulating services, respectively; (2) our proposed ESBI index system consists of overall index and sub-indices of provisioning, regulating, and cultural services. The higher the ESBI value, the more important the corresponding place for multiple aggregated ecosystem service provision. Compared to 2000, ESBI in 2015 distributed more unevenly, and the average dropped by 3.10%; and (3) the increase of ESBI was associated with its initial value, and four socioeconomic and natural factors; the decrease of ESBI was influenced by the initial value and six key socioeconomic factors. Discussion and Conclusion: Our proposed ESBI system has several advantages (e.g., scale free, flexible weighting, quantitative and continuous indices for further analyses, and alternative non-monetary solution) in understanding and managing relationships among multiple ecosystem services.
format	article
author	Yiyuan Hong Qian Ding Ting Zhou Lingqiao Kong Meiye Wang Jianying Zhang Wu Yang
author_facet	Yiyuan Hong Qian Ding Ting Zhou Lingqiao Kong Meiye Wang Jianying Zhang Wu Yang
author_sort	Yiyuan Hong
title	Ecosystem service bundle index construction, spatiotemporal dynamic display, and driving force analysis
title_short	Ecosystem service bundle index construction, spatiotemporal dynamic display, and driving force analysis
title_full	Ecosystem service bundle index construction, spatiotemporal dynamic display, and driving force analysis
title_fullStr	Ecosystem service bundle index construction, spatiotemporal dynamic display, and driving force analysis
title_full_unstemmed	Ecosystem service bundle index construction, spatiotemporal dynamic display, and driving force analysis
title_sort	ecosystem service bundle index construction, spatiotemporal dynamic display, and driving force analysis
publisher	Taylor & Francis Group
publishDate	2020
url	https://doaj.org/article/1c819549fdde455f861a6923e18d0a36
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_version_	1718384037515493376

Ecosystem service bundle index construction, spatiotemporal dynamic display, and driving force analysis

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