Landscape index for indicating water quality and application to master plan of regional lake cluster restoration

Understanding the relation between landscape pattern and water quality is essential to making a master plan for restoration of regional lake and wetland clusters, which has not yet been well resolved. Here, we studied the impacts of landscape pattern changes on water quality over lake clusters, taki...

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Autores principales:	Xinxia He, Cheng Chen, Mengnan He, Qiuwen Chen, Jianyun Zhang, Gang Li, Zhiyuan Wang, Yuanyuan Mao, Jianwei Dong
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Lake cluster Enclosure aquaculture Landscape pattern changes Water quality Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/239c30f3013542e382132074e4e7694e
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id	oai:doaj.org-article:239c30f3013542e382132074e4e7694e
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spelling	oai:doaj.org-article:239c30f3013542e382132074e4e7694e2021-12-01T04:50:52ZLandscape index for indicating water quality and application to master plan of regional lake cluster restoration1470-160X10.1016/j.ecolind.2021.107668https://doaj.org/article/239c30f3013542e382132074e4e7694e2021-07-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21003332https://doaj.org/toc/1470-160XUnderstanding the relation between landscape pattern and water quality is essential to making a master plan for restoration of regional lake and wetland clusters, which has not yet been well resolved. Here, we studied the impacts of landscape pattern changes on water quality over lake clusters, taking the aquaculture area in the Lixia River hinterland of China as a case. Multi-temporal Landsat series of remote sensing data from 1985 to 2018 was used and space-for-time substitution (SFTS) method was applied to explore the relationship between landscape pattern and water quality. Results showed that wetland and free water surface were the dominant classes of the lake cluster in 1985 and 1990, but they began to rapidly decrease from 1995 to 2000. The enclosure aquaculture increased rapidly since 1995 and became the dominant class between 1995 and 2018. The patch density of aquaculture water (PD_A) increased from 0.09n/km2 in 1985 to 0.34n/km2 in 2018, with the largest degree of fragmentation in 2000. However, the growth rate of PD_A declined significantly after the enactment of the lake ecological protection policies. The SFTS results showed that PD_A had positive correlation with total nitrogen (TN) (r = 0.26), ammonia nitrogen (NH3-N) (r = 0.21), and Chlorophyta (r = 0.33), and the water quality degraded with increasing PD_A. Hence, PD_A could be a water quality indicator of lakes in the Lixia River hinterland. The study is expected to provide a viable method to design regional restoration plan for degraded and over-developed wetland areas.Xinxia HeCheng ChenMengnan HeQiuwen ChenJianyun ZhangGang LiZhiyuan WangYuanyuan MaoJianwei DongElsevierarticleLake clusterEnclosure aquacultureLandscape pattern changesWater qualityEcologyQH540-549.5ENEcological Indicators, Vol 126, Iss , Pp 107668- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Lake cluster Enclosure aquaculture Landscape pattern changes Water quality Ecology QH540-549.5
spellingShingle	Lake cluster Enclosure aquaculture Landscape pattern changes Water quality Ecology QH540-549.5 Xinxia He Cheng Chen Mengnan He Qiuwen Chen Jianyun Zhang Gang Li Zhiyuan Wang Yuanyuan Mao Jianwei Dong Landscape index for indicating water quality and application to master plan of regional lake cluster restoration
description	Understanding the relation between landscape pattern and water quality is essential to making a master plan for restoration of regional lake and wetland clusters, which has not yet been well resolved. Here, we studied the impacts of landscape pattern changes on water quality over lake clusters, taking the aquaculture area in the Lixia River hinterland of China as a case. Multi-temporal Landsat series of remote sensing data from 1985 to 2018 was used and space-for-time substitution (SFTS) method was applied to explore the relationship between landscape pattern and water quality. Results showed that wetland and free water surface were the dominant classes of the lake cluster in 1985 and 1990, but they began to rapidly decrease from 1995 to 2000. The enclosure aquaculture increased rapidly since 1995 and became the dominant class between 1995 and 2018. The patch density of aquaculture water (PD_A) increased from 0.09n/km2 in 1985 to 0.34n/km2 in 2018, with the largest degree of fragmentation in 2000. However, the growth rate of PD_A declined significantly after the enactment of the lake ecological protection policies. The SFTS results showed that PD_A had positive correlation with total nitrogen (TN) (r = 0.26), ammonia nitrogen (NH3-N) (r = 0.21), and Chlorophyta (r = 0.33), and the water quality degraded with increasing PD_A. Hence, PD_A could be a water quality indicator of lakes in the Lixia River hinterland. The study is expected to provide a viable method to design regional restoration plan for degraded and over-developed wetland areas.
format	article
author	Xinxia He Cheng Chen Mengnan He Qiuwen Chen Jianyun Zhang Gang Li Zhiyuan Wang Yuanyuan Mao Jianwei Dong
author_facet	Xinxia He Cheng Chen Mengnan He Qiuwen Chen Jianyun Zhang Gang Li Zhiyuan Wang Yuanyuan Mao Jianwei Dong
author_sort	Xinxia He
title	Landscape index for indicating water quality and application to master plan of regional lake cluster restoration
title_short	Landscape index for indicating water quality and application to master plan of regional lake cluster restoration
title_full	Landscape index for indicating water quality and application to master plan of regional lake cluster restoration
title_fullStr	Landscape index for indicating water quality and application to master plan of regional lake cluster restoration
title_full_unstemmed	Landscape index for indicating water quality and application to master plan of regional lake cluster restoration
title_sort	landscape index for indicating water quality and application to master plan of regional lake cluster restoration
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/239c30f3013542e382132074e4e7694e
work_keys_str_mv	AT xinxiahe landscapeindexforindicatingwaterqualityandapplicationtomasterplanofregionallakeclusterrestoration AT chengchen landscapeindexforindicatingwaterqualityandapplicationtomasterplanofregionallakeclusterrestoration AT mengnanhe landscapeindexforindicatingwaterqualityandapplicationtomasterplanofregionallakeclusterrestoration AT qiuwenchen landscapeindexforindicatingwaterqualityandapplicationtomasterplanofregionallakeclusterrestoration AT jianyunzhang landscapeindexforindicatingwaterqualityandapplicationtomasterplanofregionallakeclusterrestoration AT gangli landscapeindexforindicatingwaterqualityandapplicationtomasterplanofregionallakeclusterrestoration AT zhiyuanwang landscapeindexforindicatingwaterqualityandapplicationtomasterplanofregionallakeclusterrestoration AT yuanyuanmao landscapeindexforindicatingwaterqualityandapplicationtomasterplanofregionallakeclusterrestoration AT jianweidong landscapeindexforindicatingwaterqualityandapplicationtomasterplanofregionallakeclusterrestoration
_version_	1718405713144840192

Landscape index for indicating water quality and application to master plan of regional lake cluster restoration

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