GSTDTAP  > 气候变化
DOI10.1088/1748-9326/aa9f30
Simulated sensitivity of African terrestrial ecosystem photosynthesis to rainfall frequency, intensity, and rainy season length
Guan, Kaiyu1,2; Good, Stephen P.3; Caylor, Kelly K.4; Medvigy, David5; Pan, Ming6; Wood, Eric F.; Sato, Hisashi7; Biasutti, Michela8; Chen, Min9; Ahlstrom, Anders10,12; Xu, Xiangtao11
2018-02-01
发表期刊ENVIRONMENTAL RESEARCH LETTERS
ISSN1748-9326
出版年2018
卷号13期号:2
文章类型Article
语种英语
国家USA; Japan; Sweden
英文摘要

There is growing evidence of ongoing changes in the statistics of intra-seasonal rainfall variability over large parts of the world. Changes in annual total rainfall may arise from shifts, either singly or in a combination, of distinctive intra-seasonal characteristics -i.e. rainfall frequency, rainfall intensity, and rainfall seasonality. Understanding how various ecosystems respond to the changes in intra-seasonal rainfall characteristics is critical for predictions of future biome shifts and ecosystem services under climate change, especially for arid and semi-arid ecosystems. Here, we use an advanced dynamic vegetation model (SEIB-DGVM) coupled with a stochastic rainfall/weather simulator to answer the following question: how does the productivity of ecosystems respond to a given percentage change in the total seasonal rainfall that is realized by varying only one of the three rainfall characteristics (rainfall frequency, intensity, and rainy season length)? We conducted ensemble simulations for continental Africa for a realistic range of changes (-20% similar to +20%) in total rainfall amount. We find that the simulated ecosystem productivity (measured by gross primary production, GPP) shows distinctive responses to the intra-seasonal rainfall characteristics. Specifically, increase in rainfall frequency can lead to 28% more GPP increase than the same percentage increase in rainfall intensity; in tropical woodlands, GPP sensitivity to changes in rainy season length is similar to 4 times larger than to the same percentage changes in rainfall frequency or intensity. In contrast, shifts in the simulated biome distribution are much less sensitive to intra-seasonal rainfall characteristics than they are to total rainfall amount. Our results reveal three major distinctive productivity responses to seasonal rainfall variability-'chronic water stress', 'acute water stress' and 'minimum water stress' -which are respectively associated with three broad spatial patterns of African ecosystem physiognomy, i.e. savannas, woodlands, and tropical forests.


英文关键词Africa water stress rainfall frequency rainfall intensity rainy season length dynamic vegetation modeling
领域气候变化
收录类别SCI-E
WOS记录号WOS:000425340000003
WOS关键词SOIL-WATER BALANCE ; PROJECTED CHANGES ; EXTREME RAINFALL ; SOUTHERN AFRICA ; STABLE STATES ; WOODY COVER ; TREE COVER ; SEIB-DGVM ; PRECIPITATION ; VEGETATION
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/15077
专题气候变化
作者单位1.Univ Illinois, Dept Nat Resources & Environm Sci, Urbana, IL 61801 USA;
2.Univ Illinois, Natl Ctr Supercomp Applicat, Urbana, IL 61801 USA;
3.Oregon State Univ, Dept Biol & Ecol Engn, Corvallis, OR 97331 USA;
4.Univ Calif Santa Barbara, Dept Geog, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA;
5.Univ Notre Dame, Dept Biol Sci, Notre Dame, IN 46556 USA;
6.Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA;
7.Japan Agcy Marine Earth Sci & Technol JAMSTEC, Inst Arctic Climate & Environm Res, Kanazawa Ku, 3173-25 Showamachi, Yokohama, Kanagawa 2360001, Japan;
8.Columbia Univ, Lamont Doherty Earth Observ, 61 Route 9W, Palisades, NY 10964 USA;
9.Pacific Northwest Natl Lab, Joint Global Change Res Inst, College Pk, MD USA;
10.Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94025 USA;
11.Harvard Univ, Dept Organism & Evolutionary Biol, Cambridge, MA 02138 USA;
12.Lund Univ, Dept Phys Geog & Ecosyst Sci, S-22362 Lund, Sweden
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GB/T 7714
Guan, Kaiyu,Good, Stephen P.,Caylor, Kelly K.,et al. Simulated sensitivity of African terrestrial ecosystem photosynthesis to rainfall frequency, intensity, and rainy season length[J]. ENVIRONMENTAL RESEARCH LETTERS,2018,13(2).
APA Guan, Kaiyu.,Good, Stephen P..,Caylor, Kelly K..,Medvigy, David.,Pan, Ming.,...&Xu, Xiangtao.(2018).Simulated sensitivity of African terrestrial ecosystem photosynthesis to rainfall frequency, intensity, and rainy season length.ENVIRONMENTAL RESEARCH LETTERS,13(2).
MLA Guan, Kaiyu,et al."Simulated sensitivity of African terrestrial ecosystem photosynthesis to rainfall frequency, intensity, and rainy season length".ENVIRONMENTAL RESEARCH LETTERS 13.2(2018).
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