The application of species distribution modeling in wetland restoration: A case study in the Songnen Plain, Northeast China

Species distribution models (SDMs) are an effective tool in ecological restoration, but the application of SDMs in wetland restoration is rare owing to limited survey data. Based on field survey of the iconic, widespread wetland species Phragmites australis (Poaceae), we built maximum entropy (MaxEn...

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Autores principales:	Yehui Zhong, Zhenshan Xue, Ming Jiang, Bo Liu, Guodong Wang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Wetland restoration Species distribution modeling Variable selection Spatial resolution Phragmites australis Climate change Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/5b8a640e49c5490780322a54f5ea031e
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id	oai:doaj.org-article:5b8a640e49c5490780322a54f5ea031e
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spelling	oai:doaj.org-article:5b8a640e49c5490780322a54f5ea031e2021-12-01T04:36:26ZThe application of species distribution modeling in wetland restoration: A case study in the Songnen Plain, Northeast China1470-160X10.1016/j.ecolind.2020.107137https://doaj.org/article/5b8a640e49c5490780322a54f5ea031e2021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20310761https://doaj.org/toc/1470-160XSpecies distribution models (SDMs) are an effective tool in ecological restoration, but the application of SDMs in wetland restoration is rare owing to limited survey data. Based on field survey of the iconic, widespread wetland species Phragmites australis (Poaceae), we built maximum entropy (MaxEnt) models to study the current and future delimitation of wetlands in the Songnen Plain in Northeast China. In building the model, we evaluated the selection of environmental predictors and data resolutions. The evaluation showed the addition of soil and topo-hydrological (e.g. slope, Topographic Wetness Index, water table depth) variables significantly improved model performance in comparison with climate-only models, and the best model performance was under spatial resolution of 250 m. This study found that wetlands of the Songnen Plain are facing threats from climate change and anthropogenic expansion. The selected models predicted approximately a 15% net loss in suitable habitats, as well as expansion trends towards more humid and higher altitude areas in the future. Based on the modeling results, we delimited 1.51 × 103 km2 and 1.48 × 103 km2 of potential wetland restoration areas under RCP 4.5 and RCP 8.5 scenarios, respectively. Our study highlighted the importance of optimizing the selection of variables and spatial resolution in the application of SDMs in wetlands, and illuminated priority areas of the Songnen Plain for consideration in future wetland restoration efforts.Yehui ZhongZhenshan XueMing JiangBo LiuGuodong WangElsevierarticleWetland restorationSpecies distribution modelingVariable selectionSpatial resolutionPhragmites australisClimate changeEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107137- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Wetland restoration Species distribution modeling Variable selection Spatial resolution Phragmites australis Climate change Ecology QH540-549.5
spellingShingle	Wetland restoration Species distribution modeling Variable selection Spatial resolution Phragmites australis Climate change Ecology QH540-549.5 Yehui Zhong Zhenshan Xue Ming Jiang Bo Liu Guodong Wang The application of species distribution modeling in wetland restoration: A case study in the Songnen Plain, Northeast China
description	Species distribution models (SDMs) are an effective tool in ecological restoration, but the application of SDMs in wetland restoration is rare owing to limited survey data. Based on field survey of the iconic, widespread wetland species Phragmites australis (Poaceae), we built maximum entropy (MaxEnt) models to study the current and future delimitation of wetlands in the Songnen Plain in Northeast China. In building the model, we evaluated the selection of environmental predictors and data resolutions. The evaluation showed the addition of soil and topo-hydrological (e.g. slope, Topographic Wetness Index, water table depth) variables significantly improved model performance in comparison with climate-only models, and the best model performance was under spatial resolution of 250 m. This study found that wetlands of the Songnen Plain are facing threats from climate change and anthropogenic expansion. The selected models predicted approximately a 15% net loss in suitable habitats, as well as expansion trends towards more humid and higher altitude areas in the future. Based on the modeling results, we delimited 1.51 × 103 km2 and 1.48 × 103 km2 of potential wetland restoration areas under RCP 4.5 and RCP 8.5 scenarios, respectively. Our study highlighted the importance of optimizing the selection of variables and spatial resolution in the application of SDMs in wetlands, and illuminated priority areas of the Songnen Plain for consideration in future wetland restoration efforts.
format	article
author	Yehui Zhong Zhenshan Xue Ming Jiang Bo Liu Guodong Wang
author_facet	Yehui Zhong Zhenshan Xue Ming Jiang Bo Liu Guodong Wang
author_sort	Yehui Zhong
title	The application of species distribution modeling in wetland restoration: A case study in the Songnen Plain, Northeast China
title_short	The application of species distribution modeling in wetland restoration: A case study in the Songnen Plain, Northeast China
title_full	The application of species distribution modeling in wetland restoration: A case study in the Songnen Plain, Northeast China
title_fullStr	The application of species distribution modeling in wetland restoration: A case study in the Songnen Plain, Northeast China
title_full_unstemmed	The application of species distribution modeling in wetland restoration: A case study in the Songnen Plain, Northeast China
title_sort	application of species distribution modeling in wetland restoration: a case study in the songnen plain, northeast china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/5b8a640e49c5490780322a54f5ea031e
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The application of species distribution modeling in wetland restoration: A case study in the Songnen Plain, Northeast China

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