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Change features of time-series climate variables from 1962 to 2016 in Inner Mongolia, China

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成果类型:
期刊论文
作者:
Xu Lili*;Yu Guangming(喻光明 );Zhang Wenjie;Tu Zhenfa;Tan Wenxia
通讯作者:
Xu Lili
作者机构:
[Yu Guangming; Tu Zhenfa; Tan Wenxia; Xu Lili] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Hubei, Peoples R China.
[Yu Guangming; Tu Zhenfa; Tan Wenxia; Xu Lili] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
[Zhang Wenjie] Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
[Zhang Wenjie] Univ Technol Sydney, Plant Funct Biol & Climate Change Cluster C3, Sydney, NSW 2007, Australia.
通讯机构:
[Xu Lili] C
Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Hubei, Peoples R China.
Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
temperature;precipitation;trend feature;trend-shift feature;arid/semi-arid area
期刊:
干旱区科学
ISSN:
1674-6767
年:
2020
卷:
12
期:
1
页码:
58-72
基金类别:
This study was supported by the National Natural Science Foundation of China (41701474, 41701467), the National Key Research and Development Plan of China (2016YFC0500205), the National Basic Research Program of China (2015CB954103) and the Key Laboratory for National Geograophy State Monitoring (National Administration of Surveying, Mapping and Geoinformation; 2017NGCM09). The authors are grateful to the anonymous reviewers for their constructive criticism and comments. This study was supported by the National Natural Science Foundation of China (41701474, 41701467), the National Key Research and Development Plan of China (2016YFC0500205), the National Basic Research Program of China (2015CB954103) and the Key Laboratory for National Geograophy State Monitoring (National Administration of Surveying, Mapping and Geoinformation; 2017NGCM09). The authors are grateful to the anonymous reviewers for their constructive criticism and comments.
机构署名:
本校为第一且通讯机构
院系归属:
城市与环境科学学院
摘要:
Detecting change features of climate variables in arid/semi-arid areas is essential for understanding related climate change patterns and the driving and evolution mechanism between climate and arid/semi-arid ecosystems. This paper takes Inner Mongolia of China, a unique arid/semi-arid ecosystem, as the study area. We first detected trend features of climate variables using the linear trend analysis method and then detected their trend-shift features using the breaks for additive seasonal and trend method based on the time-series of monthly pre...

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