Mapping the seagrass conservation and restoration priorities: Coupling habitat suitability and anthropogenic pressures

Seagrass meadows provide important ecosystem services, but are among the least conserved marine ecosystems. The Southern bioregion of China has the nation’s largest seagrass distribution. However, lack of information on the distribution of seagrasses and the threats they face pose a significant obst...

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Autores principales: Wenjia Hu, Dian Zhang, Bin Chen, Xinming Liu, Xiaomin Ye, Qutu Jiang, Xinqing Zheng, Jianguo Du, Shiquan Chen
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Lenguaje:EN
Publicado: Elsevier 2021
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spelling oai:doaj.org-article:9a4cef8a378b42969c283ddffdd5e2ba2021-12-01T04:56:56ZMapping the seagrass conservation and restoration priorities: Coupling habitat suitability and anthropogenic pressures1470-160X10.1016/j.ecolind.2021.107960https://doaj.org/article/9a4cef8a378b42969c283ddffdd5e2ba2021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006257https://doaj.org/toc/1470-160XSeagrass meadows provide important ecosystem services, but are among the least conserved marine ecosystems. The Southern bioregion of China has the nation’s largest seagrass distribution. However, lack of information on the distribution of seagrasses and the threats they face pose a significant obstacle to their conservation and restoration. Accordingly, a framework for prioritizing conservation and restoration objectives was proposed in the present study. First, we modeled the suitable habitats with MaxEnt, random forest (RF), and ensemble models to obtain a reliable basis map of seagrass distribution. A potentially suitable area of approximately 3,536–4,852 km2 was mapped in the coastal sea of South China, with the greatest area occurring between 18 °N and 22 °N. The anthropogenic pressures on the seagrass habitat were then estimated using an integrated exposure index consisting of four indicators, namely, population density, fishery economy, aquaculture, and shipping. The results indicated 48% of the coastal seas were under intensive anthropogenic pressures, with a higher exposure in the north than the south. The current conservation status suggests that there is a large seagrass conservation gap. By coupling the two dimensions of habitat suitability and integrated exposure, priority sites for seagrass management in South China were identified for the first time. Our work will not only provide basic information for coastal ecosystem management, but also serve as a tool to support the conservation and restoration planning of seagrass, thus, ultimately promoting the sustainability of seagrasses habitats.Wenjia HuDian ZhangBin ChenXinming LiuXiaomin YeQutu JiangXinqing ZhengJianguo DuShiquan ChenElsevierarticleSeagrass conservationExposure assessmentHabitat sustainabilityConservation and restoration planningEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 107960- (2021)
institution DOAJ
collection DOAJ
language EN
topic Seagrass conservation
Exposure assessment
Habitat sustainability
Conservation and restoration planning
Ecology
QH540-549.5
spellingShingle Seagrass conservation
Exposure assessment
Habitat sustainability
Conservation and restoration planning
Ecology
QH540-549.5
Wenjia Hu
Dian Zhang
Bin Chen
Xinming Liu
Xiaomin Ye
Qutu Jiang
Xinqing Zheng
Jianguo Du
Shiquan Chen
Mapping the seagrass conservation and restoration priorities: Coupling habitat suitability and anthropogenic pressures
description Seagrass meadows provide important ecosystem services, but are among the least conserved marine ecosystems. The Southern bioregion of China has the nation’s largest seagrass distribution. However, lack of information on the distribution of seagrasses and the threats they face pose a significant obstacle to their conservation and restoration. Accordingly, a framework for prioritizing conservation and restoration objectives was proposed in the present study. First, we modeled the suitable habitats with MaxEnt, random forest (RF), and ensemble models to obtain a reliable basis map of seagrass distribution. A potentially suitable area of approximately 3,536–4,852 km2 was mapped in the coastal sea of South China, with the greatest area occurring between 18 °N and 22 °N. The anthropogenic pressures on the seagrass habitat were then estimated using an integrated exposure index consisting of four indicators, namely, population density, fishery economy, aquaculture, and shipping. The results indicated 48% of the coastal seas were under intensive anthropogenic pressures, with a higher exposure in the north than the south. The current conservation status suggests that there is a large seagrass conservation gap. By coupling the two dimensions of habitat suitability and integrated exposure, priority sites for seagrass management in South China were identified for the first time. Our work will not only provide basic information for coastal ecosystem management, but also serve as a tool to support the conservation and restoration planning of seagrass, thus, ultimately promoting the sustainability of seagrasses habitats.
format article
author Wenjia Hu
Dian Zhang
Bin Chen
Xinming Liu
Xiaomin Ye
Qutu Jiang
Xinqing Zheng
Jianguo Du
Shiquan Chen
author_facet Wenjia Hu
Dian Zhang
Bin Chen
Xinming Liu
Xiaomin Ye
Qutu Jiang
Xinqing Zheng
Jianguo Du
Shiquan Chen
author_sort Wenjia Hu
title Mapping the seagrass conservation and restoration priorities: Coupling habitat suitability and anthropogenic pressures
title_short Mapping the seagrass conservation and restoration priorities: Coupling habitat suitability and anthropogenic pressures
title_full Mapping the seagrass conservation and restoration priorities: Coupling habitat suitability and anthropogenic pressures
title_fullStr Mapping the seagrass conservation and restoration priorities: Coupling habitat suitability and anthropogenic pressures
title_full_unstemmed Mapping the seagrass conservation and restoration priorities: Coupling habitat suitability and anthropogenic pressures
title_sort mapping the seagrass conservation and restoration priorities: coupling habitat suitability and anthropogenic pressures
publisher Elsevier
publishDate 2021
url https://doaj.org/article/9a4cef8a378b42969c283ddffdd5e2ba
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