气候变化领域集成服务门户(CCPortal): Multi-spatiotemporal heterogeneous legacy effects of climate on terrestrial vegetation dynamics in China

CCPortal

DOI	10.1080/15481603.2021.2022426
	Multi-spatiotemporal heterogeneous legacy effects of climate on terrestrial vegetation dynamics in China
	Lian, Xihong; Jiao, Limin; Liu, Zejin; Jia, Qiqi; Zhong, Jing; Fang, Miao; Wang, Weilin
通讯作者	Jiao, LM (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China. ; Jiao, LM (通讯作者)，Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan, Peoples R China.
发表日期	2022
ISSN	1548-1603
EISSN	1943-7226
起始页码	164
结束页码	183
卷号	59 期号:1
英文摘要	Investigating vegetation-climate interactions is critical for understanding behavioral patterns of terrestrial ecosystems and formulating food security strategies. However, the multi-spatiotemporal legacy effects of climate on terrestrial vegetation remain unclear. In this study, we examined the dynamic trends of vegetation distribution and climatic factors at multiple temporal and spatial scales. Moreover, using cross-wavelet transform, wavelet coherence transform, and partial correlation analysis, a paradigm framework was established to determine the multi-spatiotemporal legacy effect of climate on vegetation in China in 2000-2019, as well as the response of different vegetation types. The results indicate a significant greening trend in China, accompanied by a warming and wetting pattern over the past 20 years. The phase difference of the wavelet coherence transform in the time-frequency domain revealed remarkable legacy effects and regional variations, indicating a complicated relationship between vegetation and climate. Meanwhile, different vegetation types exhibited heterogeneous responses of legacy effect of precipitation and temperature on multi-spatiotemporal scales; moreover, the lag time in spring was shorter than that in summer and autumn. The average legacy effect on different vegetation types was approximately 1-2 months. Therefore, the heterogeneity of the legacy effects is a complicated process of dynamic variation, which can be summarized as the comprehensive characteristics of vegetation response to climate with regional discrepancy, ecosystem category, and multi-temporal scale. These findings advance our understanding regarding the preference of vegetation to hydrothermal conditions across biomes and ecosystems and provide a future framework for elucidating the dynamic response of vegetation to other more complex factors in this warmer world. Furthermore, our results emphasize that multi-spatiotemporal legacy effects should be incorporated into the vegetation-climate interaction model and the formulation of macro-environmental management policies.
关键词	LIGHT-USE EFFICIENCY NET PRIMARY PRODUCTION NDVI TIME-SERIES TEMPERATURE GROWTH PRECIPITATION ECOSYSTEMS PRODUCTIVITY PHENOLOGY RESPONSES
英文关键词	Vegetation dynamics; climate change; legacy effect; spatial-temporal heterogeneity; ecosystem; paradigm framework
语种	英语
WOS研究方向	Physical Geography ; Remote Sensing
WOS类目	Geography, Physical ; Remote Sensing
WOS记录号	WOS:000738553300001
来源期刊	GISCIENCE & REMOTE SENSING
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254575
作者单位	[Lian, Xihong; Jiao, Limin; Liu, Zejin; Jia, Qiqi; Zhong, Jing; Wang, Weilin] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China; [Lian, Xihong; Jiao, Limin; Liu, Zejin; Jia, Qiqi; Zhong, Jing; Wang, Weilin] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan, Peoples R China; [Fang, Miao] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resource, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Lian, Xihong,Jiao, Limin,Liu, Zejin,et al. Multi-spatiotemporal heterogeneous legacy effects of climate on terrestrial vegetation dynamics in China[J]. 中国科学院西北生态环境资源研究院,2022,59(1).
APA	Lian, Xihong.,Jiao, Limin.,Liu, Zejin.,Jia, Qiqi.,Zhong, Jing.,...&Wang, Weilin.(2022).Multi-spatiotemporal heterogeneous legacy effects of climate on terrestrial vegetation dynamics in China.GISCIENCE & REMOTE SENSING,59(1).
MLA	Lian, Xihong,et al."Multi-spatiotemporal heterogeneous legacy effects of climate on terrestrial vegetation dynamics in China".GISCIENCE & REMOTE SENSING 59.1(2022).