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Trend Analysis of Relationship between Primary Productivity, Precipitation and Temperature in Inner Mongolia
Chen, Tianyang; Xie, Yichun; Liu, Chao1; Bai, Yongfei2; Zhang, Anbing3; Mao, Lishen4; Fan, Siyu
2018
发表期刊ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
卷号7期号:6
摘要This study mainly examined the relationships among primary productivity, precipitation and temperature by identifying trends of change embedded in time-series data. The paper also explores spatial variations of the relationship over four types of vegetation and across two precipitation zones in Inner Mongolia, China. Traditional analysis of vegetation response to climate change uses minimum, maximum, average or cumulative measurements; focuses on a whole region instead of fine-scale regional or ecological variations; or adopts generic analysis techniques. We innovatively integrate Empirical Mode Decomposition (EMD) and Redundancy Analysis (RDA) to overcome the weakness of traditional approaches. The EMD filtered trend surfaces reveal clear patterns of Enhanced Vegetation Index (EVI), precipitation, and temperature changes in both time and space. The filtered data decrease noises and cyclic fluctuations in the original data and are more suitable for examining linear relationship than the original data. RDA is further applied to reveal partial effect of precipitation and temperature, and their joint effect on primary productivity. The main findings are as follows: (1) We need to examine relationships between the trends of change of the variables of interest when investigating long-term relationships among them. (2) Long-term trend of change of precipitation or temperature can become a critical factor influencing primary productivity depending on local environments. (3) Synchronization (joint effect) of precipitation and temperature in growing season is critically important to primary productivity in the study area. (4) Partial and joint effects of precipitation and temperature on primary productivity vary over different precipitation zones and different types of vegetation. The method developed in this paper is applicable to ecosystem research in other regions.
关键词Inner Mongolia vegetation growth climate change partial effect EMD filtering redundancy analysis
学科领域Computer Science, Information Systems ; Geography, Physical ; Remote Sensing
DOI10.3390/ijgi7060214
收录类别SCI
语种英语
WOS关键词EMPIRICAL MODE DECOMPOSITION ; CLIMATE-CHANGE ; VEGETATION DYNAMICS ; GRASSLAND DEGRADATION ; LAND DEGRADATION ; NDVI ; RESPONSES ; IMPACTS ; ECOSYSTEMS ; STRATEGIES
WOS记录号WOS:000436275700016
出版者MDPI
文献子类Article
出版地BASEL
EISSN2220-9964
资助机构Guangdong Innovative and Entrepreneurial Research Team Program [2016ZT06D336] ; GDAS' Special Project of Science and Technology Development [2017GDASCX-0101]
作者邮箱tchen7@emich.edu ; yxie@emich.edu ; chaoliu0202@gmail.com ; yfbai@ibcas.ac.cn ; zhanganbing@hebeu.edu.cn ; lmao@uga.edu ; sfan@emich.edu
作品OA属性Green Submitted, gold
引用统计
被引频次:8[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/20326
专题植被与环境变化国家重点实验室
作者单位1.Eastern Michigan Univ, Inst Geospatial Res & Educ, Ypsilanti, MI 48197 USA
2.Anhui Univ Sci & Technol, Sch Geomat, 168 Taifeng Ave, Huainan, Peoples R China
3.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China
4.Hebei Univ Engn, Sch Min & Geomat, 199 South Guangming St, Handan, Peoples R China
5.Univ Georgia, Dept Geog, 210 Field St 204, Athens, GA 30602 USA
推荐引用方式
GB/T 7714
Chen, Tianyang,Xie, Yichun,Liu, Chao,et al. Trend Analysis of Relationship between Primary Productivity, Precipitation and Temperature in Inner Mongolia[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2018,7(6).
APA Chen, Tianyang.,Xie, Yichun.,Liu, Chao.,Bai, Yongfei.,Zhang, Anbing.,...&Fan, Siyu.(2018).Trend Analysis of Relationship between Primary Productivity, Precipitation and Temperature in Inner Mongolia.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,7(6).
MLA Chen, Tianyang,et al."Trend Analysis of Relationship between Primary Productivity, Precipitation and Temperature in Inner Mongolia".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 7.6(2018).
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