Abstract
Crop production vulnerability to climate change in Northwest China depends upon multiple socio-ecological factors. Knowledge regarding the specific indicators and methods suitable for assessing crop production vulnerability is limited that address spatiotemporal variations across large and diverse zones. We propose an integrated assessment framework to quantify the vulnerability of crop production derived from crop yield sensitivity, exposure, and adaptive consequences across 338 counties in Northwest China during 1995–2014. Maps on these indices were generated using climatic and socioeconomic data with spatial mapping method. Different clusters of crop production vulnerability were then identified by a k-means cluster method to assess the heterogeneity of vulnerability at a regional scale. Results show that the vulnerability of crop production in 338 counties varies significantly in both geographical and socioeconomic aspects, specifically, vulnerability indicators are generally higher in Minhe, Menyuan, Hualong, and Ledu, and Xayar had the lowest value of vulnerability. This indicates that adaptation strategies for regional crop production need to focus on several levels, from the improvement of adaptive ability to crop yield fluctuation by promoting irrigation agriculture and optimizing limited water resources in typical arid areas, to agriculture-related financial policies incentivizing the capital investment and technology upgrade of crop production on traditional farming regions. This study provides convincing evidence that the factors related to socioeconomic policies are particularly alarming when a crop’s risk is compared to precipitation fluctuations. We recommend these findings be used to facilitate regional agriculture planning to reduce crop production vulnerability and ensure sustainable food security in specific regions.
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References
Adger WN (2006) Vulnerability. Glob Environ Change 16: 268–281. https://doi.org/10.1016/j.gloenvcha.2006.02.006
Allen R, Irmak A, Trezza R, et al. (2011) Satellite-based ET estimation in agriculture using SEBAL and METRIC. Hydrol Process 25(26): 4011–4027. https://doi.org/10.1002/hyp.8408
Anderloni L, Bacchiocchi E, Vandone D (2012) Household financial vulnerability: an empirical analysis. Res Econ 66(3): 284–296. https://doi.org/10.1016/j.rie.2012.03.001
Arnell NW, Cannell MGR, Hulme M, et al. (2002) The consequences of CO2 stabilisation for the impacts of climate change. Clim Change 53: 413–446. https://doi.org/10.1023/A:1015277014327
Das S (2018) Unfounded assumptions in linking crop-damaging temperature and suicide in India. Proc Natl Acad Sci USA 115(2): E116. https://doi.org/10.1073/pnas.1715331115
Foley JA, Ramankutty N, Brauman KA, et al. (2011) Solutions for a cultivated planet. Nature 478: 337–342. https://doi.org/10.1038/nature10452
Fu B, Chen L, Ma K, et al. (2000) The relationship between land use and soil conditions in the hilly area of loess plateau in northern Shaanxi. Catena 39(1): 69–78. https://doi.org/10.1016/S0341-8162(99)00084-3
Gbetibouo GA, Ringler C, Hassan R (2010) Vulnerability of the South African farming sector to climate change and variability: an indicator approach. Nat Resour Forum 34(3): 175–187. https://doi.org/10.1111/j.1477-8947.2010.01302.x
Huang C, Wang J, Huang J (2014) Policy support, social capital, and farmers’ adaptation to drought in China. Glob Environ Change 24: 193–202.https://doi.org/10.1016/j.gloenvcha.2013.11.010
Jiang L, Huang X, Wang F, et al. (2018) Method for evaluating ecological vulnerability under climate change based on remote sensing: A case study. Ecol Indic 85: 479–486. https://doi.org/10.1016/j.ecolind.2017.10.044
John VO, Soden BJ (2007) Temperature and humidity biases in global climate models and their impact on climate feedbacks. Geophys Res Lett 34(18): 529–538. https://doi.org/10.1029/2007GL030429
Ju XT, Xing GX, Chen XP, et al. (2009) Reducing environmental risk by improving n management in intensive Chinese agricultural systems. Proc Natl Acad Sci USA 106(9): 3041–3046. https://doi.org/10.1073/pnas.0813417106
Li Y, Conway D, Wu YJ, et al. (2013) Rural livelihoods and climate variability in Ningxia, Northwest China. Clim Change 119, 891–904. https://doi.org/10.1007/s10584-013-0765-9
Li J, Huang X, Yang H, et al. (2016) Situation and determinants of household carbon emissions in Northwest China. Habitat Int 51: 178–187.https://doi.org/10.1016/j.habitatint.2015.10.024
Liang YJ, Liu LJ (2014) Modelling urban growth in the middle basin of the Heihe River, northwest China. Landsc Ecol 29: 1725–1739. https://doi.org/10.1007/s10980-014-0089-9
Liang YJ, Liu LJ (2017) Simulating land-use change and its effect on biodiversity conservation in a watershed in northwest China. Ecosyst Health Sust 3(5): 1335933. https://doi.org/10.1080/20964129.2017.1335933
Liu Y, Wang E, Yang X, et al. (2010) Contributions of climatic and crop varietal changes to crop production in the North China Plain, since 1980s. Glob Change Biol 16(8): 2287–2299. https://doi.org/10.1111/j.1365-2486.2009.02077.x
Hazbavi Z, Baartman JE, Nunes JP, et al. (2018) Changeability of reliability, resilience and vulnerability indicators with respect to drought patterns. Ecol Indic 87: 196–208. https://doi.org/10.1016/j.ecolind.2017.12.054
Hess T (2012) Climate change impacts on crop productivity in Africa and south Asia. Environ Res Lett 7(3): 034032. https://doi.org/10.1088/1748-9326/7/4/041001
Lobell DB, Burke MB, Tebaldi C, et al. (2008) Prioritizing climate change adaptation needs for food security in 2030. Science 319(5863): 607–610. https://doi.org/10.1126/science.1152339
Luers AL (2005) The surface of vulnerability: an analytical framework for examining environmental change. Glob Environ Change 15(3): 214–223. https://doi.org/10.1016/j.gloenvcha.2005.04.003
Ma D, Chen L, Qu H, et al. (2018) Impacts of plastic film mulching on crop yields, soil water, nitrate, and organic carbon in Northwestern China: a meta-analysis. Agric Water Manage 202(1): 166–173. https://doi.org/10.1016/j.agwat.2018.02.001
Mainali J, Pricope NG (2017) High-resolution spatial assessment of population vulnerability to climate change in Nepal. Appl Geogr 82: 66–82. https://doi.org/10.1016/j.apgeog.2017.03.008
Moss RH, Edmonds JA, Hibbard KA, et al. (2010) The next generation of scenarios for climate change research and assessment. Nature 463: 747–756. https://doi.org/10.1038/nature08823
NSBC (National Statistics Bureau of China, P.R. China) (2010) China Statistical Yearbook 2010. China Statistical Press, Beijing.
NDRC (The National Development and Reform Commission, P.R. China), 2012. China’s Policies and Actions for Addressing Climate Change. The National Development and Reform Commission, Beijing.
NPC (The National People’s Congress, P.R. China) (2011) The Twelfth Five-Year Plan for National Economic and Social Development of People’s Republic of China. The National People’s Congress, Beijing.
O’Neill BC, Kriegler E, Ebi KL, et al. (2017) The roads ahead: narratives for shared socioeconomic pathways describing world futures in the 21st century. Glob Environ Change 42: 169–180. https://doi.org/10.1016/j.gloenvcha.2015.01.004
Pan H, Liu Y, Gao H (2015) Impact of agricultural industrial structure adjustment on energy conservation and income growth in western china: a statistical study. Ann Oper Res 228(1): 23–33. https://doi.org/10.1007/s10479-012-1291-2
Piao S, Ciais P, Huang Y, et al. (2010) The impacts of climate change on water resources and agriculture in china. Nature 467(7311): 43–51. https://doi.org/10.1038/nature09364
Polsky C, Neff R, Yarnal B (2007) Building comparable global change vulnerability assessments: The vulnerability scoping diagram. Glob Environ Change 17(3–4): 472–485. https://doi.org/10.1016/j.gloenvcha.2007.01.005
Qin N, Wang J, Yang G, et al. (2015) Spatial and temporal variations of extreme precipitation and temperature events for the southwest china in 1960–2009. Geoenviron Disasters 2: 1–14. https://doi.org/10.1186/s40677-015-0014-9
Raufirad V, Heidari Q, Hunter R, et al. (2018) Relationship between socioeconomic vulnerability and ecological sustainability: The case of Aran-V-Bidgol’s rangelands, Iran. Ecol Indic 85: 613–623. https://doi.org/10.1016/j.ecolind.2017.11.009
Samake M, Tang Z, Hlaing W, et al. (2011) Groundwater vulnerability assessment in shallow aquifer in Linfen Basin, Shanxi Province, China using DRASTIC model. Res J Appl Sci 4: 616–622. https://doi.org/10.5539/jsd.v4n1p53
Sendhil R, Jha A, Kumar A, et al. (2018) Extent of vulnerability in wheat producing agro-ecologies of India: tracking from indicators of cross-section and multi-dimension data. Ecol Indic 89: 771–780. https://doi.org/10.1016/j.ecolind.2018.02.053
Sharma T, Vittal H, Karmakar S, et al. (2020) Increasing agricultural risk to hydro-climatic extremes in India. Environ Res Lett 15(3): 034010. https://doi.org/10.1088/1748-9326/ab63e1
Shi C, Zhan J (2015) An input-output table based analysis on the virtual water by sectors with the five northwest provinces in China. Phys Chem Earth, Parts A/B/C 79–82: 47–53. https://doi.org/10.1016/j.pce.2015.03.004
Simelton E, Fraser EDG, Termansen M, et al. (2009) Typologies of crop-drought vulnerability: an empirical analysis of the socioeconomic factors that influence the sensitivity and resilience to drought of three major food crops in China (1961–2001). Environ Sci Policy 12(4): 438–452. https://doi.org/10.1016/j.envsci.2008.11.005
Teegavarapu RSV, Meskele T, Pathak CS (2012) Geo-spatial grid-based transformations of precipitation estimates using spatial interpolation methods. Comput Geosci 40(3): 28–39. https://doi.org/10.1016/j.cageo.2011.07.004
Uhl-Bien M, Arena M (2018) Leadership for organizational adaptability: A theoretical synthesis and integrative framework. Leadership Q 29(1): 89–104. https://doi.org/10.1016/j.leaqua.2017.12.009
Yang Y, Feng Z, Huang HQ, et al. (2008) Climate-induced changes in crop water balance during 1960–2001 in Northwest China. Agric Ecosyst Environ 127(1–2): 107–118. https://doi.org/10.1016/j.agee.2008.03.007
Yang L, Meng X, Zhang X (2011) SRTM DEM and its application advances. Int J Remote Sens 32(14): 3875–3896. https://doi.org/10.1080/01431161003786016
Yu W, Hans GJ (2010) China’s agricultural policy transition: impacts of recent reforms and future scenarios. J Agric Econ 61(2): 343–368. https://doi.org/10.1111/j.1477-9552.2010.00242.x
Acknowledgments
This research is funded by the National Natural Science Foundation of China (41601184) and the State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau (A314021402-202110). We would like to thank the editors and anonymous reviewers for their valuable comments and suggestions to improve this paper.
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Liang, Yj., Liu, Lj. Vulnerability assessment of crop production to climate change across Northwest China during 1995–2014. J. Mt. Sci. 18, 683–693 (2021). https://doi.org/10.1007/s11629-019-5846-4
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DOI: https://doi.org/10.1007/s11629-019-5846-4