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Probabilistic model predicts dynamics of vegetation biomass in a desert ecosystem in NW China
Wang, Xin-ping1; Schaffer, Benjamin Eli2; Yang, Zhenlei3; Rodriguez-Iturbe, Ignacio2,3,4,5
刊名PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
2017-06-20
卷号114期号:25页码:E4944-E4950
关键词ecohydrology stochastic dynamics vegetation modeling climate change impacts soil moisture
ISSN号0027-8424
DOI10.1073/pnas.1703684114
通讯作者Wang, Xin-ping(xpwang@lzb.ac.cn) ; Rodriguez-Iturbe, Ignacio(irodrigu1@tamu.edu)
英文摘要The temporal dynamics of vegetation biomass are of key importance for evaluating the sustainability of arid and semiarid ecosystems. In these ecosystems, biomass and soil moisture are coupled stochastic variables externally driven, mainly, by the rainfall dynamics. Based on long-term field observations in northwestern (NW) China, we test a recently developed analytical scheme for the description of the leaf biomass dynamics undergoing seasonal cycles with different rainfall characteristics. The probabilistic characterization of such dynamics agrees remarkably well with the field measurements, providing a tool to forecast the changes to be expected in biomass for arid and semiarid ecosystems under climate change conditions. These changes will depend-for each season-on the forecasted rate of rainy days, mean depth of rain in a rainy day, and duration of the season. For the site in NW China, the current scenario of an increase of 10% in rate of rainy days, 10% in mean rain depth in a rainy day, and no change in the season duration leads to forecasted increases in mean leaf biomass near 25% in both seasons.
收录类别SCI
WOS关键词ARTEMISIA-ORDOSICA ; TENGGER DESERT ; TAMAULIPAN THORNSCRUB ; SAND DUNES ; SOIL ; CARBON ; WATER ; RESPIRATION ; BEHAVIOR ; CLIMATE
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
语种英语
出版者NATL ACAD SCIENCES
WOS记录号WOS:000403687300009
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2557738
专题寒区旱区环境与工程研究所
通讯作者Wang, Xin-ping; Rodriguez-Iturbe, Ignacio
作者单位1.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Shapotou Desert Res & Expt Stn, Lanzhou 730000, Gansu, Peoples R China
2.Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA
3.Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77843 USA
4.Texas A&M Univ, Dept Ocean Engn, College Stn, TX 77843 USA
5.Texas A&M Univ, Dept Civil Engn, College Stn, TX 77843 USA
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GB/T 7714
Wang, Xin-ping,Schaffer, Benjamin Eli,Yang, Zhenlei,et al. Probabilistic model predicts dynamics of vegetation biomass in a desert ecosystem in NW China[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,2017,114(25):E4944-E4950.
APA Wang, Xin-ping,Schaffer, Benjamin Eli,Yang, Zhenlei,&Rodriguez-Iturbe, Ignacio.(2017).Probabilistic model predicts dynamics of vegetation biomass in a desert ecosystem in NW China.PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,114(25),E4944-E4950.
MLA Wang, Xin-ping,et al."Probabilistic model predicts dynamics of vegetation biomass in a desert ecosystem in NW China".PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 114.25(2017):E4944-E4950.
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