干旱区生态环境知识资源中心(Arid): Carbon, water and energy fluxes in agricultural systems of Australia and New Zealand

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DOI	10.1016/j.agrformet.2020.107934
	Carbon, water and energy fluxes in agricultural systems of Australia and New Zealand
	Cleverly, James 1,2; Vote, Camilla 3; Isaac, Peter 4; Ewenz, Cacilia 4,5; Harahap, Mahrita 1; Beringer, Jason 6; Campbell, David, I 7; Daly, Edoardo 8; Eamus, Derek 1; He, Liang 9; Hunt, John 10; Grace, Peter 11; Hutley, Lindsay B.12; Laubach, Johannes 10; McCaskill, Malcolm 13; Rowlings, David 11; Jonker, Susanna Rutledge 7,14; Schipper, Louis A.7; Schroder, Ivan 15; Teodosio, Bertrand 8; Yu, Qiang 1,16,17; Ward, Phil R.18; Walker, Jeffrey P.8; Webb, John A.19; Grover, Samantha P. P.20
通讯作者	Cleverly, James
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
ISSN	0168-1923
EISSN	1873-2240
出版年	2020
卷号	287
英文摘要	A comprehensive understanding of the effects of agricultural management on climate-crop interactions has yet to emerge. Using a novel wavelet-statistics conjunction approach, we analysed the synchronisation amongst fluxes (net ecosystem exchange NEE, evapotranspiration and sensible heat flux) and seven environmental factors (e.g., air temperature, soil water content) on 19 farm sites across Australia and New Zealand. Irrigation and fertilisation practices improved positive coupling between net ecosystem productivity (NEP = - NEE) and evapotranspiration, as hypothesised. Highly intense management tended to protect against heat stress, especially for irrigated crops in dry climates. By contrast, stress avoidance in the vegetation of tropical and hot desert climates was identified by reverse coupling between NEP and sensible heat flux (i.e., increases in NEP were synchronised with decreases in sensible heat flux). Some environmental factors were found to be under management control, whereas others were fixed as constraints at a given location. Irrigated crops in dry climates (e.g., maize, almonds) showed high predictability of fluxes given only knowledge of fluctuations in climate (R-2 > 0.78), and fluxes were nearly as predictable across strongly energy- or water-limited environments (0.60 < R-2 < 0.89). However, wavelet regression of environmental conditions on fluxes showed much smaller predictability in response to precipitation pulses (0.15 < R-2 < 0.55), where mowing or grazing affected crop phenology (0.28 < R-2 < 0.59), and where water and energy limitations were balanced (0.7 < net radiation / precipitation < 1.3; 0.27 < R-2 < 0.36). By incorporating a temporal component to regression, wavelet-statistics conjunction provides an important step forward for understanding direct ecosystem responses to environmental change, for modelling that understanding, and for quantifying nonstationary, nonlinear processes such as precipitation pulses, which have previously defied quantitative analysis.
英文关键词	Wavelet-statistics conjunction Eddy covariance Precipitation pulses Irrigation Agriculture Environmental variability
类型	Article
语种	英语
国家	Australia ; New Zealand ; Peoples R China ; Netherlands
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000531095900007
WOS关键词	EDDY COVARIANCE ; ECOSYSTEM CARBON ; CLIMATE-CHANGE ; DAIRY PASTURE ; PRECIPITATION VARIABILITY ; INTERANNUAL VARIABILITY ; MANAGEMENT-PRACTICES ; SEMIARID ECOSYSTEMS ; DIOXIDE EXCHANGE ; SOIL
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
来源机构	西北农林科技大学 ; Commonwealth Scientific and Industrial Research Organisation ; University of Western Australia
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/319328
作者单位	1.Univ Technol Sydney, Sch Life Sci, Broadway, NSW 2007, Australia; 2.Univ Technol Sydney, Sch Life Sci, Terr Ecosyst Res Network, Broadway, NSW 2007, Australia; 3.Charles Sturt Univ, Graham Ctr Agr Innovat, Wagga, NSW 2678, Australia; 4.TERN Ecosyst Proc OzFlux Cent Node, Melbourne, Vic 3159, Australia; 5.Airborne Res Australia, POB 335, Salisbury South, SA 5106, Australia; 6.Univ Western Australia, Sch Agr & Environm, Crawley, WA 6020, Australia; 7.Univ Waikato, Sch Sci & Environm Res Inst, Private Bag 3105, Hamilton, New Zealand; 8.Monash Univ, Dept Civil Engn, Clayton, Vic 3800, Australia; 9.Natl Meteorol Ctr, Beijing 100081, Peoples R China; 10.Manaaki Wenua Landcare Res, POB 69040, Lincoln 7640, New Zealand; 11.Queensland Univ Technol, Inst Future Environm & Sci & Engn Fac, Brisbane, Qld 4000, Australia; 12.Charles Darwin Univ, Sch Environm, Res Inst Environm & Livelihoods, Brinkin, NT 0909, Australia; 13.Agr Victoria Res, Dept Econ Dev Jobs Transport & Resources, 915 Mt Napier Rd, Hamilton, Vic 3300, Australia; 14.Natl Inst Publ Hlth & Environm, Ctr Environm Qual, POB 1, NL-3720 BA Bilthoven, Netherlands; 15.Geosci Australia, Resources Div, Int CCS & CO2CRC, Canberra, ACT 2601, Australia; 16.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China; 17.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 18.CSIRO, Private Bag 5, Wembley, WA 6913, Australia; 19.La Trobe Univ, Dept Ecol Environm & Evolut, Bundoora, Vic, Australia; 20.RMIT Univ, Appl Chem & Environm Sci, Melbourne, Vic 3000, Australia
推荐引用方式 GB/T 7714	Cleverly, James,Vote, Camilla,Isaac, Peter,et al. Carbon, water and energy fluxes in agricultural systems of Australia and New Zealand[J]. 西北农林科技大学, Commonwealth Scientific and Industrial Research Organisation, University of Western Australia,2020,287.
APA	Cleverly, James.,Vote, Camilla.,Isaac, Peter.,Ewenz, Cacilia.,Harahap, Mahrita.,...&Grover, Samantha P. P..(2020).Carbon, water and energy fluxes in agricultural systems of Australia and New Zealand.AGRICULTURAL AND FOREST METEOROLOGY,287.
MLA	Cleverly, James,et al."Carbon, water and energy fluxes in agricultural systems of Australia and New Zealand".AGRICULTURAL AND FOREST METEOROLOGY 287(2020).