DOI: 10.3390/rs12030368
论文题名: Ecological risk assessment and impact factor analysis of alpine wetland ecosystem based on LUCC and boosted regression tree on the Zoige Plateau, China
作者: Hou M. ; Ge J. ; Gao J. ; Meng B. ; Li Y. ; Yin J. ; Liu J. ; Feng Q. ; Liang T.
刊名: Remote Sensing
ISSN: 20724292
出版年: 2020
卷: 12, 期: 3 语种: 英语
英文关键词: Alpine wetland ecosystem
; Boosted regression tree
; Ecological risk assessment
; Land use and land cover changes
; Zoige Plateau
Scopus关键词: Climate change
; Ecosystems
; Forestry
; Land use
; Regression analysis
; Wetlands
; Alpine wetland
; Boosted regression trees
; Ecological risk assessment
; Land use and land cover change
; Zoige Plateau
; Risk assessment
英文摘要: The Zoige Plateau is typical of alpine wetland ecosystems worldwide, which play a key role in regulating global climate and ecological balance. Due to the influence of global climate change and intense human activities, the stability and sustainability of the ecosystems associated with the alpine marsh wetlands are facing enormous threats. It is important to establish a precise risk assessment method to evaluate the risks to alpine wetlands ecosystems, and then to understand the influencing factors of ecological risk. However, the multi-index evaluation method of ecological risk in the Zoige region is overly focused on marsh wetlands, and the smallest units of assessment are relatively large. Although recently developed landscape ecological risk assessment (ERA) methods can address the above limitations, the final directionality of the evaluation results is not clear. In this work, we used the landscape ERA method based on land use and land cover changes (LUCC) to evaluate the ecological risks to an alpine wetland ecosystem from a spatial pixel scale (5 km x 5 km). Furthermore, the boosted regression tree (BRT) model was adopted to quantitatively analyze the impact factors of ecological risk. The results show the following: (1) From 1990 to 2016, the land use and land cover (LULC) types in the study area changed markedly. In particular, the deep marshes and aeolian sediments, and whereas construction land areas changed dramatically, the alpine grassland changed relatively slowly. (2) The ecological risk in the study area increased and was dominated by regions with higher and moderate risk levels. Meanwhile, these areas showed notable spatio-temporal changes, significant spatial correlation, and a high degree of spatial aggregation. (3) The topographic distribution, climate changes and human activities influenced the stability of the study area. Elevation (23.4%) was the most important factor for ecological risk, followed by temperature (16.2%). Precipitation and GDP were also seen to be adverse factors affecting ecological risk, at levels of 13.0% and 12.1%, respectively. The aim of this study was to provide more precise and specific support for defining conservation objectives, and ecological management in alpine wetland ecosystems. © 2020 by the author. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159609
Appears in Collections: 气候变化与战略
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作者单位: State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730000, China; Institute of Fragile Eco-Environment, Nantong University, 999 Tongjing Road, Nantong, 226007, China
Recommended Citation:
Hou M.,Ge J.,Gao J.,et al. Ecological risk assessment and impact factor analysis of alpine wetland ecosystem based on LUCC and boosted regression tree on the Zoige Plateau, China[J]. Remote Sensing,2020-01-01,12(3)