Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/gcb.13509 |
Partitioning controls on Amazon forest photosynthesis between environmental and biotic factors at hourly to interannual timescales | |
Wu, Jin1,14; Guan, Kaiyu2,3; Hayek, Matthew4; Restrepo-Coupe, Natalia1,5; Wiedemann, Kenia T.1,4; Xu, Xiangtao6; Wehr, Richard1; Christoffersen, Bradley O.1,7; Miao, Guofang2,8; da Silva, Rodrigo9; de Araujo, Alessandro C.10; Oliviera, Raimundo C.11; Camargo, Plinio B.12; Monson, Russell K.1,13; Huete, Alfredo R. .5; Saleska, Scott R.1 | |
2017-03-01 | |
发表期刊 | GLOBAL CHANGE BIOLOGY |
ISSN | 1354-1013 |
EISSN | 1365-2486 |
出版年 | 2017 |
卷号 | 23期号:3 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Australia; Brazil |
英文摘要 | Gross ecosystem productivity (GEP) in tropical forests varies both with the environment and with biotic changes in photosynthetic infrastructure, but our understanding of the relative effects of these factors across timescales is limited. Here, we used a statistical model to partition the variability of seven years of eddy covariance-derived GEP in a central Amazon evergreen forest into two main causes: variation in environmental drivers (solar radiation, diffuse light fraction, and vapor pressure deficit) that interact with model parameters that govern photosynthesis and biotic variation in canopy photosynthetic light-use efficiency associated with changes in the parameters themselves. Our fitted model was able to explain most of the variability in GEP at hourly (R-2 = 0.77) to interannual (R-2 = 0.80) timescales. At hourly timescales, we found that 75% of observed GEP variability could be attributed to environmental variability. When aggregating GEP to the longer timescales (daily, monthly, and yearly), however, environmental variation explained progressively less GEP variability: At monthly timescales, it explained only 3%, much less than biotic variation in canopy photosynthetic light-use efficiency, which accounted for 63%. These results challenge modeling approaches that assume GEP is primarily controlled by the environment at both short and long timescales. Our approach distinguishing biotic from environmental variability can help to resolve debates about environmental limitations to tropical forest photosynthesis. For example, we found that biotically regulated canopy photosynthetic lightuse efficiency (associated with leaf phenology) increased with sunlight during dry seasons (consistent with light but not water limitation of canopy development) but that realized GEP was nonetheless lower relative to its potential efficiency during dry than wet seasons (consistent with water limitation of photosynthesis in given assemblages of leaves). This work highlights the importance of accounting for differential regulation of GEP at different timescales and of identifying the underlying feedbacks and adaptive mechanisms. |
英文关键词 | environmental limitation leaf demography leaf quality leaf quantity light-use efficiency phenology physiology temperature sensitivity on productivity |
领域 | 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000396829300023 |
WOS关键词 | NET ECOSYSTEM EXCHANGE ; GROSS PRIMARY PRODUCTION ; TROPICAL FORESTS ; LEAF AGE ; DIFFUSE-RADIATION ; SEASONAL PATTERNS ; CARBON DYNAMICS ; SOLAR-RADIATION ; FUTURE CLIMATE ; WATER FLUXES |
WOS类目 | Biodiversity Conservation ; Ecology ; Environmental Sciences |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
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/16594 |
专题 | 气候变化 资源环境科学 |
作者单位 | 1.Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ 85721 USA; 2.Univ Illinois, Dept Nat Resources & Environm Sci, Urbana, IL 61801 USA; 3.Univ Illinois, Natl Ctr Supercomp Applicat, Urbana, IL 61801 USA; 4.Harvard Univ, John A Paulson Sch Engn & Appl Sci, Cambridge, MA 02138 USA; 5.Univ Technol Sydney, Plant Funct Biol & Climate Change Cluster, Sydney, NSW, Australia; 6.Princeton Univ, Dept Geosci, Princeton, NJ 80544 USA; 7.Los Alamos Natl Lab, Earth & Environm Sci, Los Alamos, NM USA; 8.North Carolina State Univ Raleigh, Dept Forestry & Environm Resources, Raleigh, NC USA; 9.Univ Western Para UFOPA, Dept Environm Phys, Santarem, Para, Brazil; 10.Embrapa Amazonia Oriental, BR-66095100 Belem, Para, Brazil; 11.Embrapa Amazonia Oriental, BR-68035110 Santarem, PA, Brazil; 12.Univ Sao Paulo, CENA, Lab Ecol Isotop, BR-13400970 Piracicaba, SP, Brazil; 13.Univ Arizona, Tree Ring Res Lab, Tucson, AZ 85721 USA; 14.Brookhaven Natl Lab, Environm & Climate Sci Dept, Upton, NY 11973 USA |
推荐引用方式 GB/T 7714 | Wu, Jin,Guan, Kaiyu,Hayek, Matthew,et al. Partitioning controls on Amazon forest photosynthesis between environmental and biotic factors at hourly to interannual timescales[J]. GLOBAL CHANGE BIOLOGY,2017,23(3). |
APA | Wu, Jin.,Guan, Kaiyu.,Hayek, Matthew.,Restrepo-Coupe, Natalia.,Wiedemann, Kenia T..,...&Saleska, Scott R..(2017).Partitioning controls on Amazon forest photosynthesis between environmental and biotic factors at hourly to interannual timescales.GLOBAL CHANGE BIOLOGY,23(3). |
MLA | Wu, Jin,et al."Partitioning controls on Amazon forest photosynthesis between environmental and biotic factors at hourly to interannual timescales".GLOBAL CHANGE BIOLOGY 23.3(2017). |
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