Social-ecological analysis of timely rice planting in Eastern India

被引:17
|
作者
Urfels, Anton [1 ,2 ,3 ]
McDonald, Andrew J. [4 ]
van Halsema, Gerardo [2 ]
Struik, Paul C. [3 ]
Kumar, Pankaj [5 ]
Malik, Ram K. [5 ]
Poonia, S. P. [5 ]
Balwinder-Singh [5 ]
Singh, Deepak K. [5 ]
Singh, Madhulika [5 ]
Krupnik, Timothy J. [6 ]
机构
[1] South Asia Reg Off, Int Maize & Wheat Improvement Ctr CINLNLYT, Sustainable Intensificat Program, Khumaltar, Lalitpur, Nepal
[2] Wageningen Univ & Res, Water Resources Management Grp, Wageningen, Netherlands
[3] Wageningen Univ & Res, Ctr Crop Syst Anal, Wageningen, Netherlands
[4] Cornell Univ, Sch Integrat Plant Sci, Sect Soil & Crop Sci, Ithaca, NY USA
[5] Int Maize & Wheat Improvement Ctr, NASC Complex, New Delhi, India
[6] Int Maize & Wheat Improvement Ctr CIMMYT, Sustainable Intensificat Program, Dhaka, Bangladesh
关键词
Sustainable agriculture; Climate-resilient agroecosystems; Eastern Gangetic Plains; Mixed methods; Rice-wheat system; Machine learning; Groundwater; Monsoon onset; Sowing date; Landscape level; SUSTAINABLE INTENSIFICATION; CLIMATE-CHANGE; PRODUCTIVITY; AGRICULTURE;
D O I
10.1007/s13593-021-00668-1
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Timely crop planting is a foundation for climate-resilient rice-wheat systems of the Eastern Gangetic Plains-a global food insecurity and poverty hotspot. We hypothesize that the capacity of individual farmers to plant on time varies considerably, shaped by multifaceted enabling factors and constraints that are poorly understood. To address this knowledge gap, two complementary datasets were used to characterize drivers and decision processes that govern the timing of rice planting in this region. The first dataset was a large agricultural management survey (rice-wheat: n = 15,245; of which rice: n = 7597) from a broad geographic region that was analyzed by machine learning methods. The second dataset was a discussion-based survey (n = 112) from a more limited geography that we analyzed with graph theory tools to elicit nuanced information on planting decisions. By combining insights from these methods, we show for the first time that differences in rice planting times are primarily shaped by ecosystem and climate factors while social factors play a prominent secondary role. Monsoon onset, surface and groundwater availability, and land type determine village-scale mean planting times whereas, for resource-constrained farmers who tend to plant later ceteris paribus, planting is further influenced by access to farm machinery, seed, fertilizer, and labor. Also, a critical threshold for economically efficient pumping appears at a groundwater depth of around 4.5 m; below this depth, farmers do not irrigate and delay planting. Without collective action to spread risk through synchronous timely planting, ecosystem factors such as threats posed by pests and wild animals may further deter early planting by individual farmers. Accordingly, we propose a three-pronged strategy that combines targeted strengthening of agricultural input chains, agroadvisory development, and coordinated rice planting and wildlife conservation to support climate-resilient agricultural development in the Eastern Gangetic Plains.
引用
收藏
页数:15
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