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Journal of Integrative Agriculture  2014, Vol. 13 Issue (7): 1599-1608    DOI: 10.1016/S2095-3119(14)60805-4
Special Issue: Systematic Synthesis of Impacts of Climate Change on China’s Crop Production System Advanced Online Publication | Current Issue | Archive | Adv Search |
Interpretation of Climate Change and Agricultural Adaptations by Local Household Farmers: a Case Study at Bin County, Northeast China
 YU  Qiang-yi, WU  Wen-bin, LIU  Zhen-huan, Peter  H Verburg, XIA  Tian, YANG  Peng, LU  Zhongjun, YOU  Liang-zhi , TANG  Hua-jun
1、Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of
Agricultural Sciences, Beijing 100081, P.R.China
2、Geography and Planning School of Sun Yat-sen University, Guangzhou 510275, P.R.China
3、Institute for Environmental Studies, VU University Amsterdam, Amsterdam, De Boelelaan 1087, The Netherlands
4、Remote Sensing Technique Center, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, P.R.China
5、Environment and Production Technology Division, International Food Policy Research Institute, Washington, D.C. 20006, USA
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摘要  Although climate change impacts and agricultural adaptations have been studied extensively, how smallholder farmers perceive climate change and adapt their agricultural activities is poorly understood. Survey-based data (presents farmers’ personal perceptions and adaptations to climate change) associated with external biophysical-socioeconomic data (presents real-world climate change) were used to develop a farmer-centered framework to explore climate change impacts and agricultural adaptations at a local level. A case study at Bin County (1980s-2010s), Northeast China, suggested that increased annual average temperature (0.6°C per decade) and decreased annual precipitation (46 mm per decade, both from meteorological datasets) were correctly perceived by 76 and 66.9%, respectively, of farmers from the survey, and that a longer growing season was confirmed by 70% of them. These reasonably correct perceptions enabled local farmers to make appropriate adaptations to cope with climate change: Longer season alternative varieties were found for maize and rice, which led to a significant yield increase for both crops. The longer season also affected crop choice: More farmers selected maize instead of soybean, as implicated from survey results by a large increase in the maize growing area. Comparing warming-related factors, we found that precipitation and agricultural disasters were the least likely causes for farmers’ agricultural decisions. As a result, crop and variety selection, rather than disaster prevention and infrastructure improvement, was the most common ways for farmers to adapt to the notable warming trend in the study region.

Abstract  Although climate change impacts and agricultural adaptations have been studied extensively, how smallholder farmers perceive climate change and adapt their agricultural activities is poorly understood. Survey-based data (presents farmers’ personal perceptions and adaptations to climate change) associated with external biophysical-socioeconomic data (presents real-world climate change) were used to develop a farmer-centered framework to explore climate change impacts and agricultural adaptations at a local level. A case study at Bin County (1980s-2010s), Northeast China, suggested that increased annual average temperature (0.6°C per decade) and decreased annual precipitation (46 mm per decade, both from meteorological datasets) were correctly perceived by 76 and 66.9%, respectively, of farmers from the survey, and that a longer growing season was confirmed by 70% of them. These reasonably correct perceptions enabled local farmers to make appropriate adaptations to cope with climate change: Longer season alternative varieties were found for maize and rice, which led to a significant yield increase for both crops. The longer season also affected crop choice: More farmers selected maize instead of soybean, as implicated from survey results by a large increase in the maize growing area. Comparing warming-related factors, we found that precipitation and agricultural disasters were the least likely causes for farmers’ agricultural decisions. As a result, crop and variety selection, rather than disaster prevention and infrastructure improvement, was the most common ways for farmers to adapt to the notable warming trend in the study region.
Keywords:  perception       adaptation       survey       climate change       agriculture  
Received: 06 September 2013   Accepted:
Fund: 

This work is partly financed by the National Basic Research Program of China (2010CB951504), the National Natural Science Foundation of China (41271112 and 40930101), and the National Nonprofit Institute Research Grant of CAAS (IARRP-2014-16).

Corresponding Authors:  WU Wen-bin, Tel: +86-10-82105070, E-mail: wuwenbin@caas.cn   
About author:  YU Qiang-yi, Tel: +86-10-82105051, E-mail: yuqiangyi@caas.cn

Cite this article: 

YU Qiang-yi, WU Wen-bin, LIU Zhen-huan, Peter H Verburg, XIA Tian, YANG Peng, LU Zhongjun, YOU Liang-zhi , TANG Hua-jun. 2014. Interpretation of Climate Change and Agricultural Adaptations by Local Household Farmers: a Case Study at Bin County, Northeast China. Journal of Integrative Agriculture, 13(7): 1599-1608.

Ainsworth E A. 2008. Rice production in a changing climate:a meta-analysis of responses to elevated carbon dioxideand elevated ozone concentration. Global Change Biology,14, 1642-1650

Akerlof K, Maibach E W, Fitzgerald D, Cedeno A Y,Neuman A. 2013. Do people “personally experience”global warming, and if so how, and does it matter? GlobalEnvironmental Change, 23, 81-91

Barnes A, Toma L. 2012. A typology of dairy farmerperceptions towards climate change. Climatic Change,112, 507-522

Below T B, Mutabazi K D, Kirschke D, Franke C, Sieber S,Siebert R, Tscherning K. 2012. Can farmers’ adaptationto climate change be explained by socio-economichousehold-level variables? Global Environmental Change,22, 223-235

Berkhout F. 2012. Adaptation to climate change byorganizations. Wiley Interdisciplinary Reviews: ClimateChange, 3, 91-106

Chen C, Qian C, Deng A, Zhang W. 2012. Progressive andactive adaptations of cropping system to climate changein Northeast China. European Journal of Agronomy, 38,94-103

Chen X, Chen F, Chen Y, Gao Q, Yang X, Yuan L, ZhangF, Mi G. 2013. Modern maize hybrids in Northeast Chinaexhibit increased yield potential and resource use efficiencydespite adverse climate change. Global Change Biology,19, 923-936

Deressa T T, Hassan R M, Ringler C. 2011. Perception of andadaptation to climate change by farmers in the Nile basinof Ethiopia. The Journal of Agricultural Science, 149, 23.

Feola G. 2013. What (science for) adaptation to climate changein Colombian agriculture? A commentary on “A wayforward on adaptation to climate change in Colombianagriculture: Perspectives towards 2050” by J. Ramirez-Villegas, M. Salazar, A. Jarvis, C. E. Navarro-Valcines.Climatic Change, 119, 565-574

Fosu-Mensah B Y, Vlek P L, MacCarthy D S. 2012. Farmers’perception and adaptation to climate change: A casestudy of Sekyedumase district in Ghana. Environment,Development and Sustainability, 14, 495-505

Gao J, Liu Y. 2011. Climate warming and land use changein Heilongjiang Province, Northeast China. AppliedGeography, 31, 476-482

Hansen J, Sato M, Ruedy R. 2012. Perception of climatechange. Proceedings of the National Academy of Sciencesof the United States of America, 109, e2415-e2423.

Heilongjiang Provincial Bureau of Statistics. 1987-2011Heilongjiang Statistical Yearbooks. China Statistics Press,Beijng, China. (in Chinese)

Li Z, Tang H, Yang P, Wu W, Chen Z, Zhou Q, Zhang L,Zou J. 2012. Spatio-temporal responses of croplandphenophases to climate change in Northeast China. Journalof Geographical Sciences, 22, 29-45.

Li Z G, Yang P, Tang H J, Wu W B, Chen Z X, Zhou Q B, ZouJ Q, Zhang L. 2011. Trend analysis of typical phenophasesof major crops under climate change in the three provincesof Northeast China. Scientia Agricultura Sinica, 44, 4180-4189. (in Chinese)

Liu Z, Hubbard K G, Lin X, Yang X. 2013. Negative effectsof climate warming on maize yield are reversed by thechanging of sowing date and cultivar selection in NortheastChina. Global Change Biology, 19, 3481-3492.

Liu Z H, Yang P, Wu W B, Li Z G, Tang P Q, Li Z P, Yu QY, Xia T, Tang H J. 2013. Impact of natural-environmentalfactors on the crop choices of households: A case studyin Binxian County of Heilongjiang Province. ScientiaAgricultura Sinica, 46, 3238-3247 (in Chinese).

Lobell D B, Schlenker W, Costa-Roberts J. 2011. Climatetrends and global crop production since 1980. Science,333, 616-620

Mertz O, Mbow C, Reenberg A, Diouf A. 2009. Farmers’perceptions of climate change and agricultural adaptation strategies in rural Sahel. Environmental Management,43, 804-816

Meyfroidt P. 2013. Environmental cognitions, land change,and social-ecological feedbacks: An overview. Journalof Land Use Science, 8, 341-367

Müller C, Cramer W, Hare W L, Lotze-Campen H. 2011.Climate change risks for African agriculture. Proceedingsof the National Academy of Sciences of the United Statesof America, 108, 4313-4315

Olesen J E, Trnka M, Kersebaum K C, Skjelvåg A O, SeguinB, Peltonen-Sainio P, Rossi F, Kozyra J, Micale F. 2011.Impacts and adaptation of European crop productionsystems to climate change. European Journal of Agronomy,34, 96-112

Smit B, Skinner M W. 2002. Adaptation options in agricultureto climate change: A typology. Mitigation and AdaptationStrategies for Global Change, 7, 85-114

Soussana J, Fereres E, Long S P, Mohren F G, Pandya-LorchR, Peltonen-Sainio P, Porter J R, Rosswall T, von Braun J.2012. A European science plan to sustainably increase foodsecurity under climate change. Global Change Biology,18, 3269-3271

Stott P A, Gillett N P, Hegerl G C, Karoly D J, Stone DA, Zhang X, Zwiers F. 2010. Detection and attributionof climate change: A regional perspective. WileyInterdisciplinary Reviews: Climate Change, 1, 192-211

Tambo J, Abdoulaye T. 2013. Smallholder farmers’perceptions of and adaptations to climate change in theNigerian savanna. Regional Environmental Change, 13,375-388

Tao F, Zhang S, Zhang Z. 2013. Changes in rice disastersacross China in recent decades and the meteorologicaland agronomic causes. Regional Environmental Change,13, 743-759

Thornton P K, Jones P G, Alagarswamy G, Andresen J,Herrero M. 2010. Adapting to climate change: Agriculturalsystem and household impacts in East Africa. AgriculturalSystems, 103, 73-82

Waha K, Müller C, Bondeau A, Dietrich J P, KurukulasuriyaP, Heinke J, Lotze-Campen H. 2013. Adaptation to climatechange through the choice of cropping system and sowingdate in sub-Saharan Africa. Global Environmental Change,23, 130-143

Weber E U, Stern P C. 2011. Public understanding of climatechange in the United States. American Psychologist, 66,315.Wu W, Verburg P, Tang H. 2014. Climate change and thefood production system: Impacts and adaptation in China.Regional Environmental Change, 14, 1-5

Xiong W, Holman I, Lin E, Conway D, Li Y, Wu W. 2012.Untangling relative contributions of recent climateand CO2 trends to national cereal production in China.Environmental Research Letters, 7, 044014.

Yang P, Wu W, Li Z, Yu Q, Inatsu M, Liu Z, Tang P, Zha Y,Kimoto M, Tang H. 2013. Simulated impact of elevatedCO2, temperature, and precipitation on the winter wheatyield in the North China Plain. Regional EnvironmentalChange, 14, 61-74

Ye L, Xiong W, Li Z, Yang P, Wu W, Yang G, Fu Y, Zou J,Chen Z, van Ranst E, Tang H. 2013. Climate change impacton China food security in 2050. Agronomy for SustainableDevelopment, 33, 363-374

Yu Q Y, Wu W B, Tang H J, Yang P, Li Z G, Xia T, Liu Z H,Zhou Q B. 2013. An agent-based model for simulating croppattern dynamics at a regional scale: Model framework.Scientia Agricultura Sinica, 46, 3266-3276 (in Chinese)

Yu Q, Wu W, Verburg P H, van Vliet J, Yang P, Zhou Q,Tang H. 2013. A survey-based exploration of land-systemdynamics in an agricultural region of Northeast China.Agricultural Systems, 121, 106-116

Yu Q, Wu W, Yang P, Li Z, Xiong W, Tang H. 2012a.Proposing an interdisciplinary and cross-scale frameworkfor global change and food security researches. Agriculture,Ecosystems and Environment, 156, 57-71

Yu Q, Wu W, Yang P, Tang H. 2012b. Global changecomponent or human dimension adaptation? An agentbasedframework for understanding the complexityand dynamics of agricultural land systems. ProcediaEnvironmental Sciences, 13, 1395-1404
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