Knowledge Management System of Northwest Institute of Plateau Biology, CAS
Seasonal and inter-annual variations in CO2 fluxes over 10 years in an alpine shrubland on the Qinghai-Tibetan Plateau, China | |
Li, Hongqin1; Zhang, Fawei1,3; Li, Yingnian1; Wang, Junbang2; Zhang, Leiming2; Zhao, Liang1; Cao, Guangmin1; Zhao, Xinquan1; Du, Mingyuan4 | |
2016-11-15 | |
发表期刊 | AGRICULTURAL AND FOREST METEOROLOGY |
卷号 | 228页码:95-103 |
文章类型 | Article |
摘要 | Alpine ecosystems play an important role in the global carbon cycle, yet the long-term response of in situ ground-based observations of carbon fluxes to climate change remains not fully understood. Here, we analyzed the continuous net ecosystem CO2 exchange (NEE) measured with the eddy covariance technique over an alpine Potentilla fruticosa shrubland on the northeastern Qinghai-Tibetan Plateau from 2003 to 2012. The shrubland acted as a net CO2 sink with a negative NEE (-74.4 +/- 12.7 g C m(-2) year(-1), Mean +/- S.E.). The mean annual gross primary productivity (GPP) and annual ecosystem respiration (RES) were 511.8 +/- 11.3 and 437.4 +/- 17.8 g Cm-2 year(--1), respectively. The classification and regression trees (CART) analysis showed that aggregated growing season degree days (GDD) was the predominant determinant on variations in monthly NEE and monthly GPP, including its effect on leaf area index (LAI, satellite-retrieved data). However, variations in monthly RES were determined much more strongly by LAI. Non-growing season soil temperature (T-s) and growing season length (GSL) accounted for 59% and 42% of variations in annual GPP and annual NEE, respectively. Growing season soil water content (SWC) exerted a positive linear influence on variations in annual RES (r(2) = 0.40, p = 0.03). The thermal conditions and soil water status during the onset of the growing season are crucial for inter-annual variations of carbon fluxes. Our results suggested that an extended growing season and warmer non-growing season would enhance carbon assimilation capacity in the alpine shrubland. (C) 2016 Elsevier B.V. All rights reserved. |
关键词 | Ecosystem Respiration Gross Primary Production Growing Season Length Aggregated Growing Season Degree Days Classification And Regression Trees |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences |
DOI | 10.1016/j.agrformet.2016.06.020 |
关键词[WOS] | GRASSLAND ECOSYSTEMS ; VEGETATION GROWTH ; GROWING-SEASON ; ARCTIC TUNDRA ; EXCHANGE ; CARBON ; VARIABILITY ; RESPONSES ; MEADOW ; WINTER |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | Strategic Priority Research Program (B) of Chinese Academy of Sciences(XDB03030502) ; National Natural Science Foundation of China(31270520 ; International Cooperation Research Program of Qinghai Province(2015-HZ-804) ; 31300385 ; 31270523) |
WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
WOS类目 | Agronomy ; Forestry ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000383295200009 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://210.75.249.4/handle/363003/6453 |
专题 | 中国科学院西北高原生物研究所 |
作者单位 | 1.Chinese Acad Sci, Northwest Inst Plateau Biol, Key Lab Adaptat & Evolut Plateau Biota, Xining 810001, Qinghai, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Natl Agr & Food Res Org, Inst Agroenvironm Sci, Tsukuba, Ibaraki 3058604, Japan |
推荐引用方式 GB/T 7714 | Li, Hongqin,Zhang, Fawei,Li, Yingnian,et al. Seasonal and inter-annual variations in CO2 fluxes over 10 years in an alpine shrubland on the Qinghai-Tibetan Plateau, China[J]. AGRICULTURAL AND FOREST METEOROLOGY,2016,228:95-103. |
APA | Li, Hongqin.,Zhang, Fawei.,Li, Yingnian.,Wang, Junbang.,Zhang, Leiming.,...&Du, Mingyuan.(2016).Seasonal and inter-annual variations in CO2 fluxes over 10 years in an alpine shrubland on the Qinghai-Tibetan Plateau, China.AGRICULTURAL AND FOREST METEOROLOGY,228,95-103. |
MLA | Li, Hongqin,et al."Seasonal and inter-annual variations in CO2 fluxes over 10 years in an alpine shrubland on the Qinghai-Tibetan Plateau, China".AGRICULTURAL AND FOREST METEOROLOGY 228(2016):95-103. |
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