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Chinese Academy of Sciences Institutional Repositories Grid
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Elevation modulates microbial carbon use efficiency responses to field and laboratory warming in alpine soils of the Qinghai-Tibetan Plateau
期刊论文
OAI收割
SOIL BIOLOGY & BIOCHEMISTRY, 2026, 卷号: 218, 页码: 110160
作者:
Wang, Yike
;
Zhang, Jiang
;
Chen, Jiameng
;
Wu, Jiapei
;
Huang, Yuanyuan
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2026/05/22
Elevation gradient
Carbon use efficiency (CUE)
Temperature sensitivity (Q 10 )
Mass specific processes
Microbial turnover time
Nutrient enrichment mitigates estuarine wetland CO
2
emissions by reducing fungal stability and temperature sensitivity
期刊论文
OAI收割
ENVIRONMENTAL RESEARCH, 2026, 卷号: 300, 页码: 10
作者:
Wu, Chunmei
;
Wang, Lin
;
Li, Jiajia
;
Hou, Ning
;
Li, Yuan
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2026/05/25
Estuarine wetland
Fungal community
Nitrogen and phosphorus addition
Temperature sensitivity
Soil CO2 emission
Divergence in the sensitivity of woody leaf unfolding phenology to daytime and nighttime temperatures
期刊论文
OAI收割
ECOLOGICAL PROCESSES, 2026, 卷号: 15, 期号: 1, 页码: 34
作者:
Yu, Peiyang
;
Tong, Xiaojuan
;
Xing, Wanli
;
Li, Jun
;
Zhang, Jingru
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2026/05/22
Daytime and nighttime temperatures
Leaf unfolding date
Temperature sensitivity
Day-night-temperature GDD model
Refining the aquatic microplastic risk assessment framework through dynamic flux simulation and ecological thresholds
期刊论文
OAI收割
JOURNAL OF HAZARDOUS MATERIALS, 2026, 卷号: 507, 页码: 141697
作者:
Li, Hengchen
;
Xue, Yuxuan
;
Lu, Hongwei
;
Feng, Sansan
;
Zhang, Xiaohan
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2026/04/16
Microplastic flux
Ecological risk assessment
Species sensitivity distribution
Jinsha River
Qinghai-Tibet Plateau
Simulation analysis of the ecological performance of artificial reefs using species distribution models
期刊论文
OAI收割
FRONTIERS IN ECOLOGY AND EVOLUTION, 2026, 卷号: 14, 页码: 30
作者:
Yu, Haolin
;
Rose, Kenneth A.
;
Fang, Guangjie
;
Tang, Yanli
;
Becker, Alistair
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2026/06/02
artificial reefs
layout sensitivity
reef interaction
simulation analysis
species distribution model
Marine water quality criteria for antibiotics: Chronic under-protection by freshwater data and the critical roles of native species and microorganisms
期刊论文
OAI收割
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2026, 卷号: 312, 页码: 12
作者:
Zhang, Xinyang
;
Xu, Min
;
Wang, Lei
;
Zhang, Jing
;
Li, Fei
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2026/04/21
Marine water quality criteria
Antibiotics
Species sensitivity distribution
Predicted no-effect concentrations
Ecological risk assessment
Shifts in plant ecological strategies drive divergent soil organic carbon stock in alpine ecosystems
期刊论文
OAI收割
JOURNAL OF ECOLOGY, 2026, 卷号: 114, 期号: 2, 页码: e70270
作者:
Wang, Kunwei
;
Gao, Decai
;
Zhong, Zhiwei
;
Li, Mai-He
;
Gessler, Arthur
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2026/04/16
alpine ecosystem
plant functional trait
plant strategy
soil enzyme
soil organic carbon
temperature sensitivity
Low substrate concentration intensifies the earthworm-driven increase in temperature sensitivity of SOM decomposition
期刊论文
OAI收割
BIOLOGY AND FERTILITY OF SOILS, 2026, 卷号: N/A
作者:
Zhao, Shenliang
;
Chai, Hua
;
Li, Mingxu
;
Jiao, Chaolian
;
Liu, Cheng
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2026/03/16
Soil fauna
Earthworm
Soil organic matter decomposition
Temperature sensitivity
Substrate concentration
Soil depth
Assessing global passive microwave soil moisture retrievals in mountainous terrain: insights from in situ validation and extended triple collocation
期刊论文
OAI收割
GEODERMA, 2026, 卷号: 466, 页码: 15
作者:
Yang, Yanqing
;
Zhao, Wei
;
Ding, Tao
;
Wu, Jiujiang
;
Zhao, Junli
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2026/03/17
Passive microwave SM
ISMN
ETC
Error patterns
Sensitivity analysis
Increased Sensitivity of Alpine Grasslands to Climate Change on the Tibetan Plateau
期刊论文
OAI收割
LAND, 2026, 卷号: 15, 期号: 2, 页码: 215
作者:
Xu, Zhuanjia
;
Li, Lanhui
;
Zhang, Binghua
;
Fu, Shuimei
;
Liu, Wei
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2026/04/16
Tibetan Plateau
Vegetation Sensitivity Index
elevation gradient
climate change
machine learning