Wheat yield response to input and socioeconomic factors under changing climate: Evidence from rainfed environments of Pakistan

被引:62
作者
Mahmood, Nasir [1 ,2 ]
Arshad, Muhammad [1 ]
Kaechele, Harald [1 ,3 ]
Ma, Hua [5 ]
Ullah, Ayat [1 ]
Mueller, Klaus [1 ,4 ]
机构
[1] Leibniz Ctr Agr Landscape Res ZALF, Working Grp Sustainable Land Use Developing Count, Res Area Land Use & Governance 2, Eberswalder Str 84, D-15374 Muncheberg, Germany
[2] PMAS Arid Agr Univ, Dept Econ & Agr Econ, Rawalpindi, Pakistan
[3] Eberswalde Univ Sustainable Dev, Schicklerstr 5, D-16225 Eberswalde, Germany
[4] Humboldt Univ, Albrecht Daniel Thaer Inst Agr & Hort Sci, D-10117 Berlin, Germany
[5] Leibniz Ctr Agr Landscape Res ZALF, Provisioning Ecosyst Serv Agr Syst, Res Area Land Use & Governance 2, Eberswalder Str 84, D-15374 Muncheberg, Germany
关键词
Climate variability; Yield variability; Rainfed farming; Wheat; Just and Pope; Pakistan; FOOD SECURITY; WINTER-WHEAT; CROP YIELD; ADAPTATION; RISK; VARIABILITY; FARMERS; IMPACT; RICE; PRODUCTIVITY;
D O I
10.1016/j.scitotenv.2019.06.266
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
More than three-quarters of the world's total cultivated land is under rainfed farming, producing almost 70% of total food. Most food production comes from developing and least favored nations. Pakistan, a developing country with an agro-based economy, is facing severe threats from climate change. Rainfed agriculture, especially wheat farming, is highly susceptible due to its heavy dependency on precipitation, one of the most important climatic parameters. Wheat is the main food crop, as well as a major source of calorific intake, for millions of people in Pakistan. This study aims to quantify the impacts of climate variability on mean yield levels and yield variability of wheat crop in the rainfed zone of Pakistan. Multistage random sampling technique is used for primary data collection from 400 rainfed wheat farmers during the 2016-17 crop season. The study uses primary data on crop input-output, management, socioeconomic, institutional, and historical climatic data (1980-2017). The data are analyzed employing the Just and Pope (J-P) stochastic production function approach with linear and nonlinear functional forms. The results reveal that temperature rise negatively affects observed wheat mean yields, while cumulative precipitation positively affected it. Further, input market access, seed rate, and cumulative precipitation also cause variability in yield levels, leading to yield instability. Further, farm elevation influences wheat mean yield positively while input market access influences it negatively. The findings of the study have important implications for climate resilient wheat farming. Timely and tailor-made adaptations need to be undertaken in the rainfed wheat farming systems of Pakistan. Creating awareness among farmers about the optimal use of agronomic inputs under changing climatic conditions could be an effective adaptation strategy that improves yields and copes with yield instability. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:1275 / 1285
页数:11
相关论文
共 75 条
[1]   The adaptive capacity of smallholder farmers to climate change in the Northern Region of Ghana [J].
Abdul-Razak, Majeed ;
Kruse, Sylvia .
CLIMATE RISK MANAGEMENT, 2017, 17 :104-122
[2]   Farmers' perceptions of and adaptation strategies to climate change and their determinants: the case of Punjab province, Pakistan [J].
Abid, M. ;
Scheffran, J. ;
Schneider, U. A. ;
Ashfaq, M. .
EARTH SYSTEM DYNAMICS, 2015, 6 (01) :225-243
[3]   Adaptation to climate change and its impacts on food productivity and crop income: Perspectives of farmers in rural Pakistan [J].
Abid, Muhammad ;
Schneider, Uwe A. ;
Scheffran, Juergen .
JOURNAL OF RURAL STUDIES, 2016, 47 :254-266
[4]   Climate change vulnerability, adaptation and risk perceptions at farm level in Punjab, Pakistan [J].
Abid, Muhammad ;
Schilling, Janpeter ;
Scheffran, Juergen ;
Zulfiqar, Farhad .
SCIENCE OF THE TOTAL ENVIRONMENT, 2016, 547 :447-460
[5]  
Ahmad A., 2015, Handbook of Climate Change and Agroecosystems: The Agricultural Model Inter-comparison and Improvement Project Integrated Crop and Economic Assessments, Part 2, P219, DOI DOI 10.1142/9781783265640_0019
[6]  
Ahmad M., 2014, IMPACT CLIMATE CHANG, DOI [10.13140/2.1.1192.0167, DOI 10.13140/2.1.1192.0167]
[7]   Assessing the impact of climate variability on maize using simulation modeling under semi-arid environment of Punjab, Pakistan [J].
Ahmed, Ishfaq ;
Rahman, Muhammad Habib Ur ;
Ahmed, Shakeel ;
Hussain, Jamshad ;
Ullah, Asmat ;
Judge, Jasmeet .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (28) :28413-28430
[8]  
Ahmed U, 2016, PAKISTAN J ANIMAL PL, V26, P2016
[9]   Climate change and indicators of probable shifts in the consumption portfolios of dryland farmers in Sub-Saharan Africa: Implications for policy [J].
Amjath-Babu, T. S. ;
Krupnik, Timothy J. ;
Aravindakshan, Sreejith ;
Arshad, Muhammad ;
Kaechele, Harald .
ECOLOGICAL INDICATORS, 2016, 67 :830-838
[10]  
[Anonymous], 1999, ENV INDICATORS TYPOL