中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [6]
生态环境研究中心 [1]
采集方式
OAI收割 [7]
内容类型
期刊论文 [4]
SCI/SSCI论文 [2]
学位论文 [1]
发表日期
2021 [2]
2020 [2]
2016 [3]
学科主题
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Estimations of forest water retention across China from an observation site-scale to a national-scale
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2021, 卷号: 132, 页码: 10
作者:
Wu, Xi
;
Shi, Wenjiao
;
Tao, Fulu
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/09/21
China
Forest water retention
Random forest model
Spatial pattern
Estimations of forest water retention across China from an observation site-scale to a national-scale
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2021, 卷号: 132, 页码: 10
作者:
Wu, Xi
;
Shi, Wenjiao
;
Tao, Fulu
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/09/21
China
Forest water retention
Random forest model
Spatial pattern
Large spatial variations in the distributions of and factors affecting forest water retention capacity in China
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2020, 卷号: 113, 页码: 16
作者:
Wu, Xi
;
Shi, Wenjiao
;
Guo, Bin
;
Tao, Fulu
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2020/05/19
China
Forest water retention
Meta-analysis
Path analysis
Spatial distribution
Factor
Large spatial variations in the distributions of and factors affecting forest water retention capacity in China
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2020, 卷号: 113, 页码: 16
作者:
Wu, Xi
;
Shi, Wenjiao
;
Guo, Bin
;
Tao, Fulu
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/05/19
China
Forest water retention
Meta-analysis
Path analysis
Spatial distribution
Factor
全国生态系统水文调节功能空间特征及其影响因素
学位论文
OAI收割
博士, 北京: 中国科学院研究生院, 2016
作者:
龚诗涵
收藏
  |  
浏览/下载:278/0
  |  
提交时间:2017/07/06
生态系统
水文调节
Ecosystem, Water retention, Forest ecosystem, Grassland ecosystem, Spatial characteristics, Natural factor, Human actives
森林生态系统
草地生态系统
空间特征
自 然因子
人类活动
Pedotransfer Functions for Estimating Soil Bulk Density: A Case Study in the Three-River Headwater Region of Qinghai Province, China
SCI/SSCI论文
OAI收割
2016
作者:
Yi X. S.
;
Li, G. S.
;
Yin, Y. Y.
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2017/11/09
alpine soil
artificial neural network
multiple linear regression
organic carbon
soil depth
soil texture
artificial neural-network
water-retention curves
organic-matter
content
hydraulic conductivity
forest soils
ignition loss
carbon
classification
prediction
taxonomy
Pedotransfer Functions for Estimating Soil Bulk Density: A Case Study in the Three-River Headwater Region of Qinghai Province, China
SCI/SSCI论文
OAI收割
2016
作者:
Yi X. S.
;
Li, G. S.
;
Yin, Y. Y.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2016/12/16
alpine soil
artificial neural network
multiple linear regression
organic carbon
soil depth
soil texture
artificial neural-network
water-retention curves
organic-matter
content
hydraulic conductivity
forest soils
ignition loss
carbon
classification
prediction
taxonomy