Trophic state footprint index model and its application to Dianchi Lake, China

Given ongoing changes in regional climate and hydrologic conditions, a vast of studies have reported that under-prediction or over-prediction of the trophic status of a water body was widely existing by classic trophic state index method, it would create serious problems in management aspects such a...

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Autores principales:	Qing Chen, Jian Zhao, Qiang Gao, HaiXia Liu, XueMei Han
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Trophic state Trophic footprint index model Eutrophication Lake Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/e64851cf25304b6491c76c096f6535f9
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id	oai:doaj.org-article:e64851cf25304b6491c76c096f6535f9
record_format	dspace
spelling	oai:doaj.org-article:e64851cf25304b6491c76c096f6535f92021-12-01T05:02:32ZTrophic state footprint index model and its application to Dianchi Lake, China1470-160X10.1016/j.ecolind.2021.108317https://doaj.org/article/e64851cf25304b6491c76c096f6535f92021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21009821https://doaj.org/toc/1470-160XGiven ongoing changes in regional climate and hydrologic conditions, a vast of studies have reported that under-prediction or over-prediction of the trophic status of a water body was widely existing by classic trophic state index method, it would create serious problems in management aspects such as allowing over-fertilization of the eutrophic water body. Each lake needs to establish its own trophic state evaluation method. Therefore, based on the concept of lake-specific and segmentation, a new assessment method for lake eutrophication is proposed: a Trophic State Footprint Index (TFI). This method constructed a concise response relationship between the response index (chlorophyll a) and the main cause index (such as total phosphorus and total nitrogen) with segmented data. This method is an improvement over the Modified Trophic State Index method and TFI is simpler, easier to conduct, and more accurate. It has been applied in Dianchi Lake of China and proved to be effective.Qing ChenJian ZhaoQiang GaoHaiXia LiuXueMei HanElsevierarticleTrophic stateTrophic footprint index modelEutrophicationLakeEcologyQH540-549.5ENEcological Indicators, Vol 132, Iss , Pp 108317- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Trophic state Trophic footprint index model Eutrophication Lake Ecology QH540-549.5
spellingShingle	Trophic state Trophic footprint index model Eutrophication Lake Ecology QH540-549.5 Qing Chen Jian Zhao Qiang Gao HaiXia Liu XueMei Han Trophic state footprint index model and its application to Dianchi Lake, China
description	Given ongoing changes in regional climate and hydrologic conditions, a vast of studies have reported that under-prediction or over-prediction of the trophic status of a water body was widely existing by classic trophic state index method, it would create serious problems in management aspects such as allowing over-fertilization of the eutrophic water body. Each lake needs to establish its own trophic state evaluation method. Therefore, based on the concept of lake-specific and segmentation, a new assessment method for lake eutrophication is proposed: a Trophic State Footprint Index (TFI). This method constructed a concise response relationship between the response index (chlorophyll a) and the main cause index (such as total phosphorus and total nitrogen) with segmented data. This method is an improvement over the Modified Trophic State Index method and TFI is simpler, easier to conduct, and more accurate. It has been applied in Dianchi Lake of China and proved to be effective.
format	article
author	Qing Chen Jian Zhao Qiang Gao HaiXia Liu XueMei Han
author_facet	Qing Chen Jian Zhao Qiang Gao HaiXia Liu XueMei Han
author_sort	Qing Chen
title	Trophic state footprint index model and its application to Dianchi Lake, China
title_short	Trophic state footprint index model and its application to Dianchi Lake, China
title_full	Trophic state footprint index model and its application to Dianchi Lake, China
title_fullStr	Trophic state footprint index model and its application to Dianchi Lake, China
title_full_unstemmed	Trophic state footprint index model and its application to Dianchi Lake, China
title_sort	trophic state footprint index model and its application to dianchi lake, china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/e64851cf25304b6491c76c096f6535f9
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Trophic state footprint index model and its application to Dianchi Lake, China

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