基本信息来源于合作网站,原文需代理用户跳转至来源网站获取       
摘要:
Ecological land is an important guarantee to maintain urban ecological security and sustainable development.Although increasing studies have been brought to ecological land,with few explorations of the relative importance of anthropogenic-natural factors and how they interact to induce the ecological land evolution.This research sought to fill this gap.In this study,18 factors,including the risk of goaf collapse,fault,prime croplands,were selected from six aspects of topography,geology,climate,accessibility,socio-economic and land control policies.logistic regression (LR) and random forest(RF) models were adopted to identify the anthropogenic and biophysical factors on the dynamic change of ecological land of Mentougou in Beijing from 1990 to 2018.The results show that there was a significant increase in ecological land from 1990 to 2018.The increased area of ecological land reached 102.11 km2 with an increased rate of 0.78,the gravity center of ecological land gradually moved to the northwest.The impact of anthropogenic factors on ecological land was greater than that of natural factors,ecological land was mainly driven by proportion of prime cropland,per capita GDP,land urbanization,temperature,per capita rural income,elevation and aspect factors.Additionally,slope and precipitation were also identified as important predictors for ecological land change.The model comparison suggested that RF can better identify the relationship between ecological land and explanatory variables than LR model.Based on our findings,the implementation of government policies along with anthropogenic factors are the most important variables influencing ecological land change,and the rational planning and allocation of ecological land by Mentougou government are still needed.
推荐文章
Spatial analysis of carbon storage density of mid-subtropical forests using geostatistics: a case st
Carbon storage density
Geostatistics
Mid-subtropical forests
Spatial autocorrelation
Spatial heterogeneity
Low carbon storage of woody debris in a karst forest in southwestern China
Secondary forest
Fine woody debris
Coarse woody debris
Dead wood
Karst
Subtropical China
Spatial prediction of landslide susceptibility using GIS-based statistical and machine learning mode
Landslide susceptibility mapping
Statistical model
Machine learning model
Four cases
Ecological stoichiometry of nitrogen, phosphorous, and sulfur in China's forests
Forest
Stoichiometry
Nitrogen
Phosphorous
Sulfur
China
内容分析
关键词云
关键词热度
相关文献总数  
(/次)
(/年)
文献信息
篇名 Impacts of anthropogenic and biophysical factors on ecological land using logistic regression and random forest:A case study in Mentougou District,Beijing,China
来源期刊 山地科学学报(英文版) 学科
关键词
年,卷(期) 2022,(2) 所属期刊栏目 Mountain Environment
研究方向 页码范围 433-445
页数 13页 分类号
字数 语种 英文
DOI
五维指标
传播情况
(/次)
(/年)
引文网络
引文网络
二级参考文献  (0)
共引文献  (0)
参考文献  (0)
节点文献
引证文献  (0)
同被引文献  (0)
二级引证文献  (0)
2022(0)
  • 参考文献(0)
  • 二级参考文献(0)
  • 引证文献(0)
  • 二级引证文献(0)
引文网络交叉学科
相关学者/机构
期刊影响力
山地科学学报(英文版)
月刊
1672-6316
51-1668/P
16开
四川省成都市一环路南二段16号山地所
2004
eng
出版文献量(篇)
1959
总下载数(次)
0
期刊文献
相关文献
推荐文献
论文1v1指导