Forests buffer thermal fluctuation better than non-forests

doi:10.1016/j.agrformet.2020.107994

	Forests buffer thermal fluctuation better than non-forests
	Lin, Hua 1,2; Tu, Chengyi 3,4; Fang, Junyong 5; Gioli, Beniamino 6; Loubet, Benjamin 7; Gruening, Carsten 8; Zhou, Guoyi 9; Beringer, Jason 10; Huang, Jianguo 9; Dusek, Jiri 11
刊名	AGRICULTURAL AND FOREST METEOROLOGY
	2020-07-15
卷号	288 页码:10
关键词	Deforestation Global warming Extreme temperature Temperature mitigation Thermal effects Vegetation index
ISSN号	0168-1923
DOI	10.1016/j.agrformet.2020.107994
通讯作者	Lin, Hua(lh@xtbg.ac.cn)
英文摘要	With the increase in intensity and frequency of extreme climate events, interactions between vegetation and local climate are gaining more and more attention. Both the mean temperature and the temperature fluctuations of vegetation will exert thermal influence on local climate and the life of plants and animals. Many studies have focused on the pattern in the mean canopy surface temperature of vegetation, whereas there is still no systematic study of thermal buffer ability (TBA) of different vegetation types across global biomes. We developed a new method to measure TBA based on the rate of temperature increase, requiring only one radiometer. With this method, we compared TBA of ten vegetation types with contrasting structures, e.g. from grasslands to forests, using data from 133 sites globally. TBA ranged from 5.2 to 21.2 across these sites and biomes. Forests and wetlands buffer thermal fluctuation better than non-forests (grasslands, savannas, and croplands), and the TBA boundary between forests and non-forests was typically around 10. Notably, seriously disturbed and young planted forests displayed a greatly reduced TBA as low as that of non-forests at high latitudes. Canopy height was a primary controller of TBA of forests, while the TBA of grasslands and savannas were mainly determined by energy partition, water availability, and carbon sequestration rates. Our research suggests that both mean values and fluctuations in canopy surface temperature should be considered to predict the risk for plants under extreme events. Protecting mature forests, both at high and low latitudes, is critical to mitigate thermal fluctuation under extreme events.
资助项目	National Natural Science Foundation of China[4186114401] ; National Natural Science Foundation of China[31870386] ; CAS 135 Program[2017XTBG-F01] ; Open Fund of State Key Laboratory of Remote Sensing Science[OFSLRSS201805] ; Open Fund of Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences[09KF001B04] ; National Natural Science Foundation of China (NSCF-TRF project)[4186114401] ; CDIAC ; Council for Scientific and Industrial Research (CSIR) ; ICOS Ecosystem Thematic Center ; OzFlux office ; ChinaFlux office ; AsiaFlux office
WOS关键词	CLIMATE-CHANGE ; VEGETATION ; TEMPERATURE ; DROUGHT ; INERTIA ; AFFORESTATION ; DEFORESTATION ; FEEDBACKS ; EXTREMES ; BENEFITS
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000538107200006
资助机构	National Natural Science Foundation of China ; CAS 135 Program ; Open Fund of State Key Laboratory of Remote Sensing Science ; Open Fund of Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences ; National Natural Science Foundation of China (NSCF-TRF project) ; CDIAC ; Council for Scientific and Industrial Research (CSIR) ; ICOS Ecosystem Thematic Center ; OzFlux office ; ChinaFlux office ; AsiaFlux office
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/159444]
专题	中国科学院地理科学与资源研究所
通讯作者	Lin, Hua
作者单位	1.Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Xishuangbanna 666303, Peoples R China 2.Chinese Acad Sci, Ctr Plant Ecol, Core Bot Gardens, Xishuangbanna 666303, Peoples R China 3.Yunnan Univ, Sch Ecol & Environm Sci, Kunming 650091, Yunnan, Peoples R China 4.Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA 5.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China 6.CNR, Inst BioEcon, IBE, Florence, Italy 7.Univ Paris Saclay, AgroParisTech ECOSYS, UMR INRA, INRA, F-78026 Versailles, France 8.Joint Res Ctr, European Commiss, Ispra, Italy 9.Chinese Acad Sci, Key Lab Vegetat Restorat & Management Degraded Ec, South China Bot Garden, Guangzhou 510650, Guangdong, Peoples R China 10.Univ Western Australia, Sch Agr & Environm, Crawley, WA 6009, Australia
推荐引用方式 GB/T 7714	Lin, Hua,Tu, Chengyi,Fang, Junyong,et al. Forests buffer thermal fluctuation better than non-forests[J]. AGRICULTURAL AND FOREST METEOROLOGY,2020,288:10.
APA	Lin, Hua.,Tu, Chengyi.,Fang, Junyong.,Gioli, Beniamino.,Loubet, Benjamin.,...&Grace, John.(2020).Forests buffer thermal fluctuation better than non-forests.AGRICULTURAL AND FOREST METEOROLOGY,288,10.
MLA	Lin, Hua,et al."Forests buffer thermal fluctuation better than non-forests".AGRICULTURAL AND FOREST METEOROLOGY 288(2020):10.