Analysis of the factors affecting the long-term distribution changes of wetlands in the Jing-Jin-Ji region, China

Wetlands are important to global ecosystems and are easily affected by changes in climate, soil properties, terrain, and human disturbances. To describe the effects quantitatively, structural equation modeling was applied to detect the impacts of these four latent variables on the distribution of we...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Binglun Li, Yuanman Hu, Yu Chang, Miao Liu, Wenjie Wang, Rencang Bu, Sixue Shi, Li Qi
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Urban agglomeration Wetland distribution Structural equation model Human disturbance Jing-Jin-Ji Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/4176ce9cf6ab48eab6f0e26336f64b11
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:4176ce9cf6ab48eab6f0e26336f64b11
record_format	dspace
spelling	oai:doaj.org-article:4176ce9cf6ab48eab6f0e26336f64b112021-12-01T04:45:47ZAnalysis of the factors affecting the long-term distribution changes of wetlands in the Jing-Jin-Ji region, China1470-160X10.1016/j.ecolind.2021.107413https://doaj.org/article/4176ce9cf6ab48eab6f0e26336f64b112021-05-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21000789https://doaj.org/toc/1470-160XWetlands are important to global ecosystems and are easily affected by changes in climate, soil properties, terrain, and human disturbances. To describe the effects quantitatively, structural equation modeling was applied to detect the impacts of these four latent variables on the distribution of wetlands in the Jing-Jin-Ji region in 1980, 1995, 2005, and 2015. The results of the models show that human disturbance and terrain conditions had negative effects on the distribution of wetlands, and their standard coefficients ranged from −0.084 to −0.011 and from −0.124 to −0.006, respectively. Climate and soil properties were beneficial for wetland distribution, and their standard coefficients ranged from 0.039 to 0.169 and from 0.015 to 0.290, respectively. The modeling results also indicate some differences in indirect influence among the four models, and 9 indirect pathways were detected in the four models. We also found that there was a significant negative correlation between the variation in the influencing factors and their impact on wetlands (p < 0.05), and the correlation coefficient was −0.71. These results indicate that the influence on the distribution of wetlands will change as in climatic conditions and human activities change over the long term, and the results of impact pathways could contribute to the restoration and management of wetlands.Binglun LiYuanman HuYu ChangMiao LiuWenjie WangRencang BuSixue ShiLi QiElsevierarticleUrban agglomerationWetland distributionStructural equation modelHuman disturbanceJing-Jin-JiEcologyQH540-549.5ENEcological Indicators, Vol 124, Iss , Pp 107413- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Urban agglomeration Wetland distribution Structural equation model Human disturbance Jing-Jin-Ji Ecology QH540-549.5
spellingShingle	Urban agglomeration Wetland distribution Structural equation model Human disturbance Jing-Jin-Ji Ecology QH540-549.5 Binglun Li Yuanman Hu Yu Chang Miao Liu Wenjie Wang Rencang Bu Sixue Shi Li Qi Analysis of the factors affecting the long-term distribution changes of wetlands in the Jing-Jin-Ji region, China
description	Wetlands are important to global ecosystems and are easily affected by changes in climate, soil properties, terrain, and human disturbances. To describe the effects quantitatively, structural equation modeling was applied to detect the impacts of these four latent variables on the distribution of wetlands in the Jing-Jin-Ji region in 1980, 1995, 2005, and 2015. The results of the models show that human disturbance and terrain conditions had negative effects on the distribution of wetlands, and their standard coefficients ranged from −0.084 to −0.011 and from −0.124 to −0.006, respectively. Climate and soil properties were beneficial for wetland distribution, and their standard coefficients ranged from 0.039 to 0.169 and from 0.015 to 0.290, respectively. The modeling results also indicate some differences in indirect influence among the four models, and 9 indirect pathways were detected in the four models. We also found that there was a significant negative correlation between the variation in the influencing factors and their impact on wetlands (p < 0.05), and the correlation coefficient was −0.71. These results indicate that the influence on the distribution of wetlands will change as in climatic conditions and human activities change over the long term, and the results of impact pathways could contribute to the restoration and management of wetlands.
format	article
author	Binglun Li Yuanman Hu Yu Chang Miao Liu Wenjie Wang Rencang Bu Sixue Shi Li Qi
author_facet	Binglun Li Yuanman Hu Yu Chang Miao Liu Wenjie Wang Rencang Bu Sixue Shi Li Qi
author_sort	Binglun Li
title	Analysis of the factors affecting the long-term distribution changes of wetlands in the Jing-Jin-Ji region, China
title_short	Analysis of the factors affecting the long-term distribution changes of wetlands in the Jing-Jin-Ji region, China
title_full	Analysis of the factors affecting the long-term distribution changes of wetlands in the Jing-Jin-Ji region, China
title_fullStr	Analysis of the factors affecting the long-term distribution changes of wetlands in the Jing-Jin-Ji region, China
title_full_unstemmed	Analysis of the factors affecting the long-term distribution changes of wetlands in the Jing-Jin-Ji region, China
title_sort	analysis of the factors affecting the long-term distribution changes of wetlands in the jing-jin-ji region, china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/4176ce9cf6ab48eab6f0e26336f64b11
work_keys_str_mv	AT binglunli analysisofthefactorsaffectingthelongtermdistributionchangesofwetlandsinthejingjinjiregionchina AT yuanmanhu analysisofthefactorsaffectingthelongtermdistributionchangesofwetlandsinthejingjinjiregionchina AT yuchang analysisofthefactorsaffectingthelongtermdistributionchangesofwetlandsinthejingjinjiregionchina AT miaoliu analysisofthefactorsaffectingthelongtermdistributionchangesofwetlandsinthejingjinjiregionchina AT wenjiewang analysisofthefactorsaffectingthelongtermdistributionchangesofwetlandsinthejingjinjiregionchina AT rencangbu analysisofthefactorsaffectingthelongtermdistributionchangesofwetlandsinthejingjinjiregionchina AT sixueshi analysisofthefactorsaffectingthelongtermdistributionchangesofwetlandsinthejingjinjiregionchina AT liqi analysisofthefactorsaffectingthelongtermdistributionchangesofwetlandsinthejingjinjiregionchina
_version_	1718405771667963904

Analysis of the factors affecting the long-term distribution changes of wetlands in the Jing-Jin-Ji region, China

Ejemplares similares