Abstract
Background
Climate-smart agriculture (CSA) addresses the challenge of meeting the growing demand for food, fibre and fuel, despite the changing climate and fewer opportunities for agricultural expansion on additional lands. CSA focuses on contributing to economic development, poverty reduction and food security; maintaining and enhancing the productivity and resilience of natural and agricultural ecosystem functions, thus building natural capital; and reducing trade-offs involved in meeting these goals. Current gaps in knowledge, work within CSA, and agendas for interdisciplinary research and science-based actions identified at the 2013 Global Science Conference on Climate-Smart Agriculture (Davis, CA, USA) are described here within three themes: (1) farm and food systems, (2) landscape and regional issues and (3) institutional and policy aspects. The first two themes comprise crop physiology and genetics, mitigation and adaptation for livestock and agriculture, barriers to adoption of CSA practices, climate risk management and energy and biofuels (theme 1); and modelling adaptation and uncertainty, achieving multifunctionality, food and fishery systems, forest biodiversity and ecosystem services, rural migration from climate change and metrics (theme 2). Theme 3 comprises designing research that bridges disciplines, integrating stakeholder input to directly link science, action and governance.
Outcomes
In addition to interdisciplinary research among these themes, imperatives include developing (1) models that include adaptation and transformation at either the farm or landscape level; (2) capacity approaches to examine multifunctional solutions for agronomic, ecological and socioeconomic challenges; (3) scenarios that are validated by direct evidence and metrics to support behaviours that foster resilience and natural capital; (4) reductions in the risk that can present formidable barriers for farmers during adoption of new technology and practices; and (5) an understanding of how climate affects the rural labour force, land tenure and cultural integrity, and thus the stability of food production. Effective work in CSA will involve stakeholders, address governance issues, examine uncertainties, incorporate social benefits with technological change, and establish climate finance within a green development framework. Here, the socioecological approach is intended to reduce development controversies associated with CSA and to identify technologies, policies and approaches leading to sustainable food production and consumption patterns in a changing climate.
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Details
1 Agricultural Research Service, Crops Pathology and Genetics Research Unit, c/o Department of Viticulture and Enology, United States Department of Agriculture (ARS/USDA), Davis, USA (GRID:grid.463419.d) (ISNI:0000000404040958)
2 University of California at Davis, Department of Land, Air and Water Resources, Davis, USA (GRID:grid.27860.3b) (ISNI:0000000419369684)
3 University of California at Davis, Department of Plant Sciences, Davis, USA (GRID:grid.27860.3b) (ISNI:0000000419369684)
4 University of California at Davis, Department of Agricultural and Resource Economics, Davis, USA (GRID:grid.27860.3b) (ISNI:0000000419369684)
5 Climate Smart Agriculture Project, Food and Agriculture Organization of the U.N., Viale delle Terme di Caracalla, Rome, Italy (GRID:grid.27860.3b)
6 eWater, University of Canberra Innovation Centre, University Drive South, Bruce, Australia (GRID:grid.1039.b) (ISNI:0000 0004 0385 7472)
7 National Laboratory for Agriculture and the Environment, ARS/USDA, Ames, USA (GRID:grid.1039.b)
8 Where the Rain Falls, CARE France, Paris, France (GRID:grid.1039.b); Colorado State University, School of Global Environmental Sustainability, USA (GRID:grid.47894.36) (ISNI:0000000419368083)
9 University of California at Davis, Department of Biological and Agricultural Engineering, Davis, USA (GRID:grid.27860.3b) (ISNI:0000000419369684)
10 University of California at Davis, Department of Animal Science, Davis, USA (GRID:grid.27860.3b) (ISNI:0000000419369684)
11 Wageningen University, Environmental Sciences, Wageningen, the Netherlands (GRID:grid.4818.5) (ISNI:0000000107915666)
12 Food and Agriculture Organization of the U.N., Viale delle Terme di Caracalla, Agricultural and Development Economic Analysis Division, Rome, Italy (GRID:grid.4818.5)
13 Center for Environmental Policy and Behavior, University of California at Davis, Department of Environmental Science and Policy, Davis, USA (GRID:grid.27860.3b) (ISNI:0000000419369684)
14 International Food Policy Research Institute (IFPRI), Environment and Production Technology Division, Washington, USA (GRID:grid.419346.d) (ISNI:0000000404804882)
15 World Agroforestry Center (ICRAF), Nairobi, Kenya (GRID:grid.435643.3) (ISNI:0000000099721350)
16 Consultative Group on International Agricultural Research (CGIAR) Apdo, Postal, Plant, International Maize and Wheat Improvement Center, Mexico, Mexico (GRID:grid.433436.5) (ISNI:0000 0001 2289 885X)
17 Washington State University, Food- and Water-borne Disease Research Program, College of Veterinary Medicine, Pullman, USA (GRID:grid.30064.31) (ISNI:0000000121576568)
18 University of California at Davis, Department of Environmental Science and Policy, Davis, USA (GRID:grid.27860.3b) (ISNI:0000000419369684)
19 Wageningen University, Plant Sciences, Wageningen, the Netherlands (GRID:grid.4818.5) (ISNI:0000000107915666)
20 University of California at Davis, Department of Landscape Architecture, Davis, USA (GRID:grid.27860.3b) (ISNI:0000000419369684)
21 Climate Change, Agriculture and Food Security, Consultative Group on International Agricultural Research (CGIAR), University of Copenhagen, Department of Plant and Environmental Sciences, Frederiksberg C,, Denmark (GRID:grid.5254.6) (ISNI:000000010674042X)
22 Gund Institute for Ecological Economics and Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, USA (GRID:grid.59062.38) (ISNI:0000000419367689)
23 University of California at Davis, Department of Agriculture and Resource Economics, Davis, USA (GRID:grid.27860.3b) (ISNI:0000000419369684)




