Probabilistic model predicts dynamics of vegetation biomass in a desert ecosystem in NW China
文献类型：期刊论文
| 作者 | 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
 |
| 出版日期 | 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 |
| DOI | 10.1073/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 |
| WOS记录号 | WOS:000403687300009 |
| 出版者 | NATL ACAD SCIENCES |
| URI标识 | http://www.irgrid.ac.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 |
| 推荐引用方式 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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来源：寒区旱区环境与工程研究所
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