GSTDTAP  > 气候变化
DOI10.1111/gcb.14307
A spatially explicit representation of conservation agriculture for application in global change studies
Prestele, Reinhard1; Hirsch, Annette L.2; Davin, Edouard L.2; Seneviratne, Sonia I.2; Verburg, Peter H.1,3
2018-09-01
发表期刊GLOBAL CHANGE BIOLOGY
ISSN1354-1013
EISSN1365-2486
出版年2018
卷号24期号:9页码:4038-4053
文章类型Article
语种英语
国家Netherlands; Switzerland
英文摘要

Conservation agriculture (CA) is widely promoted as a sustainable agricultural management strategy with the potential to alleviate some of the adverse effects of modern, industrial agriculture such as large-scale soil erosion, nutrient leaching and overexploitation of water resources. Moreover, agricultural land managed under CA is proposed to contribute to climate change mitigation and adaptation through reduced emission of greenhouse gases, increased solar radiation reflection, and the sustainable use of soil and water resources. Due to the lack of official reporting schemes, the amount of agricultural land managed under CA systems is uncertain and spatially explicit information about the distribution of CA required for various modeling studies is missing. Here, we present an approach to downscale present-day national-level estimates of CA to a 5 arcminute regular grid, based on multicriteria analysis. We provide a best estimate of CA distribution and an uncertainty range in the form of a low and high estimate of CA distribution, reflecting the inconsistency in CA definitions. We also design two scenarios of the potential future development of CA combining present-day data and an assessment of the potential for implementation using biophysical and socioeconomic factors. By our estimates, 122-215Mha or 9%-15% of global arable land is currently managed under CA systems. The lower end of the range represents CA as an integrated system of permanent no-tillage, crop residue management and crop rotations, while the high estimate includes a wider range of areas primarily devoted to temporary no-tillage or reduced tillage operations. Our scenario analysis suggests a future potential of CA in the range of 533-1130Mha (38%-81% of global arable land). Our estimates can be used in various ecosystem modeling applications and are expected to help identifying more realistic climate mitigation and adaptation potentials of agricultural practices.


英文关键词crop residue management land management land-based mitigation no-till farming sustainable intensification zero tillage
领域气候变化 ; 资源环境
收录类别SCI-E ; SSCI
WOS记录号WOS:000441746900014
WOS关键词SOIL CARBON SEQUESTRATION ; CLIMATE-CHANGE ; NO-TILL ; SUSTAINABLE INTENSIFICATION ; CROP PRODUCTIVITY ; UNITED-STATES ; HOT EXTREMES ; LAND-USE ; MANAGEMENT ; MITIGATION
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/16792
专题气候变化
资源环境科学
作者单位1.Vrije Univ Amsterdam, Inst Environm Studies, Environm Geog Grp, Amsterdam, Netherlands;
2.Eidgenoss Tech Hsch ETH Zurich, Inst Atmospher & Climate Sci, Zurich, Switzerland;
3.Swiss Fed Res Inst WSL, Birmensdorf, Switzerland
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GB/T 7714
Prestele, Reinhard,Hirsch, Annette L.,Davin, Edouard L.,et al. A spatially explicit representation of conservation agriculture for application in global change studies[J]. GLOBAL CHANGE BIOLOGY,2018,24(9):4038-4053.
APA Prestele, Reinhard,Hirsch, Annette L.,Davin, Edouard L.,Seneviratne, Sonia I.,&Verburg, Peter H..(2018).A spatially explicit representation of conservation agriculture for application in global change studies.GLOBAL CHANGE BIOLOGY,24(9),4038-4053.
MLA Prestele, Reinhard,et al."A spatially explicit representation of conservation agriculture for application in global change studies".GLOBAL CHANGE BIOLOGY 24.9(2018):4038-4053.
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