Nonlinearity and threshold effects of landscape pattern on water quality in a rapidly urbanized headwater watershed in China

Investigating the relationship between landscape pattern and water quality is essential for making sustainable landscape development policies. A clear understanding of such relationship remains elusive partly due to ubiquitous nonlinearity, behind which the landscape threshold can potentially act as...

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Autores principales:	Jianfeng Liu, Jijun Xu, Xiang Zhang, Zhiming Liang, Ke Rao
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Landscape pattern Water quality Nonlinearity Landscape threshold Spatial scale Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/decd9d2ad4f544d88e379985f6e40bc3
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spelling	oai:doaj.org-article:decd9d2ad4f544d88e379985f6e40bc32021-12-01T04:45:13ZNonlinearity and threshold effects of landscape pattern on water quality in a rapidly urbanized headwater watershed in China1470-160X10.1016/j.ecolind.2021.107389https://doaj.org/article/decd9d2ad4f544d88e379985f6e40bc32021-05-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21000546https://doaj.org/toc/1470-160XInvestigating the relationship between landscape pattern and water quality is essential for making sustainable landscape development policies. A clear understanding of such relationship remains elusive partly due to ubiquitous nonlinearity, behind which the landscape threshold can potentially act as quantifiable target of landscape conservation. In the upper Huai River Basin in China, six landscape metrics were quantified for forested, agricultural, and residential land use categories at broad sub-basin and finer riparian buffer scales. Five water quality indicators were collected from 24 monitoring stations during the period of 2006–2012. On the basis of nonlinear regression models, including power, exponential, quadratic, and segmented regressions, one-to-one relations between landscape metrics and water quality variables were fitted with R2 generally varying between 0.32 and 0.74. Meanwhile, three types of defined landscape thresholds were also identified on the basis of the fitted nonlinear relations. From the perspective of spatial scale dependence, the percentage of landscape area and largest patch index could well explain water quality variables at a broad sub-basin scale; the opposite could be said for patch density. The type-1 and type-2 landscape thresholds can act as the long-term targets where landscape pattern management strategy should be timely adjusted. By contrast, the type-3 landscape threshold can be set as a short-term target of landscape conservation to ensure water quality up to a certain management requirement. This study suggests that considering nonlinearity and threshold effect could provide insights into the complicated landscape pattern–water quality relations and thus provide a scientific basis for balancing the coupled socioecological system of landscape development and water quality protection.Jianfeng LiuJijun XuXiang ZhangZhiming LiangKe RaoElsevierarticleLandscape patternWater qualityNonlinearityLandscape thresholdSpatial scaleEcologyQH540-549.5ENEcological Indicators, Vol 124, Iss , Pp 107389- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Landscape pattern Water quality Nonlinearity Landscape threshold Spatial scale Ecology QH540-549.5
spellingShingle	Landscape pattern Water quality Nonlinearity Landscape threshold Spatial scale Ecology QH540-549.5 Jianfeng Liu Jijun Xu Xiang Zhang Zhiming Liang Ke Rao Nonlinearity and threshold effects of landscape pattern on water quality in a rapidly urbanized headwater watershed in China
description	Investigating the relationship between landscape pattern and water quality is essential for making sustainable landscape development policies. A clear understanding of such relationship remains elusive partly due to ubiquitous nonlinearity, behind which the landscape threshold can potentially act as quantifiable target of landscape conservation. In the upper Huai River Basin in China, six landscape metrics were quantified for forested, agricultural, and residential land use categories at broad sub-basin and finer riparian buffer scales. Five water quality indicators were collected from 24 monitoring stations during the period of 2006–2012. On the basis of nonlinear regression models, including power, exponential, quadratic, and segmented regressions, one-to-one relations between landscape metrics and water quality variables were fitted with R2 generally varying between 0.32 and 0.74. Meanwhile, three types of defined landscape thresholds were also identified on the basis of the fitted nonlinear relations. From the perspective of spatial scale dependence, the percentage of landscape area and largest patch index could well explain water quality variables at a broad sub-basin scale; the opposite could be said for patch density. The type-1 and type-2 landscape thresholds can act as the long-term targets where landscape pattern management strategy should be timely adjusted. By contrast, the type-3 landscape threshold can be set as a short-term target of landscape conservation to ensure water quality up to a certain management requirement. This study suggests that considering nonlinearity and threshold effect could provide insights into the complicated landscape pattern–water quality relations and thus provide a scientific basis for balancing the coupled socioecological system of landscape development and water quality protection.
format	article
author	Jianfeng Liu Jijun Xu Xiang Zhang Zhiming Liang Ke Rao
author_facet	Jianfeng Liu Jijun Xu Xiang Zhang Zhiming Liang Ke Rao
author_sort	Jianfeng Liu
title	Nonlinearity and threshold effects of landscape pattern on water quality in a rapidly urbanized headwater watershed in China
title_short	Nonlinearity and threshold effects of landscape pattern on water quality in a rapidly urbanized headwater watershed in China
title_full	Nonlinearity and threshold effects of landscape pattern on water quality in a rapidly urbanized headwater watershed in China
title_fullStr	Nonlinearity and threshold effects of landscape pattern on water quality in a rapidly urbanized headwater watershed in China
title_full_unstemmed	Nonlinearity and threshold effects of landscape pattern on water quality in a rapidly urbanized headwater watershed in China
title_sort	nonlinearity and threshold effects of landscape pattern on water quality in a rapidly urbanized headwater watershed in china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/decd9d2ad4f544d88e379985f6e40bc3
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_version_	1718405796790796288

Nonlinearity and threshold effects of landscape pattern on water quality in a rapidly urbanized headwater watershed in China

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