Analysis of the contributions of human factors and natural factors affecting the vegetation pattern in coastal wetlands-Reference-Cited by-同舟云学术

Analysis of the contributions of human factors and natural factors affecting the vegetation pattern in coastal wetlands

Published:2020-10-26 Issue:1 Volume:6 Page:1827982
ISSN:2096-4129
Container-title:Ecosystem Health and Sustainability
language:en
Short-container-title:Ecosystem Health and Sustainability

Author:

Zang Zheng¹²^ORCID,Wu Xiaowei³,Niu Yun¹,Mao Guangxiong¹

Affiliation:

1. School of Urban and Environmental Sciences, Huaiyin Normal University, Huai’an, Jiangsu, China

2. Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources (Chinese Academy of Natural Resource Economics, China University of Geosciences Beijing, Institute of Geographical Sciences and Natural Resource Research, the Chinese Academy of Sciences), Beijing, China

3. Key Laboratory of Coast and Island Development (Nanjing University), Ministry of Education, Nanjing, Jiangsu, China

Funder

Philosophy and Social Science Research Foundation in Colleges and Universities in Jiangsu Province

Open Foundation of Key Laboratory of Carrying Capacity Assessment for Resource and Environment

Ministry of Natural Resources

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://www.tandfonline.com/doi/pdf/10.1080/20964129.2020.1827982

Reference45 articles.

1. Interactions between flooding and upland disturbance drives species diversity in large river floodplains

2. Using semivariogram indices to analyse heterogeneity in spatial patterns in remotely sensed images

3. A comparison of the vegetation and soils of natural, restored, and created coastal lowland wetlands in Hawai‘i

4. Anthropogenic modification of New England salt marsh landscapes

5. Spatial distribution of biological soil crusts on the slope of the Chinese Loess Plateau based on canonical correspondence analysis

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