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Tek B. Sapkota Jeetendra P. Aryal Arun Khatri-Chhetri Paresh B. Shirsath Ponraj Arumugam Clare M. Stirling 《Mitigation and Adaptation Strategies for Global Change》2018,23(4):621-641
Increasing agricultural production to meet the growing demand for food whilst reducing agricultural greenhouse gas (GHG) emissions is the major challenge under the changing climate. To develop long-term policies that address these challenges, strategies are needed to identify high-yield low-emission pathways for particular agricultural production systems. In this paper, we used bio-physical and socio-economic models to analyze the impact of different management practices on crop yield and emissions in two contrasting agricultural production systems of the Indo-Gangetic Plain (IGP) of India. The result revealed the importance of considering both management and socio-economic factors in the development of high-yield low-emission pathways for cereal production systems. Nitrogen use rate and frequency of application, tillage and residue management and manure application significantly affected GHG emissions from the cereal systems. In addition, various socio-economic factors such as gender, level of education, training on climate change adaptation and mitigation and access to information significantly influenced the adoption of technologies contributing to high-yield low-emission pathways. We discussed the policy implications of these findings in the context of food security and climate change. 相似文献
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Alam Absar Kumar Jeetendra Sarkar Uttam Kumar Jha Dharm Nath Srivastava Saket Kumar Kumar Vijay Das Basanta Kumar 《Environment, Development and Sustainability》2021,23(9):13221-13241
Environment, Development and Sustainability - The present study evaluated the effectiveness of stocking the Gangetic carps, viz. Labeo catla, Labeo rohita, and Cirrhinus mrigala, in a large... 相似文献
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Factors affecting the adoption of multiple climate‐smart agricultural practices in the Indo‐Gangetic Plains of India 下载免费PDF全文
Jeetendra Prakash Aryal Dil Bahadur Rahut Sofina Maharjan Olaf Erenstein 《Natural resources forum》2018,42(3):141-158
Climate change poses a major threat to agricultural production and food security in India, and climate‐smart agriculture (CSA) is crucial in addressing the potential impacts. Using survey data from 1,267 farm households in 25 villages from Bihar and Haryana in the Indo‐Gangetic Plains, this study analyzes the factors that determine the probability and level of adoption of multiple CSA practices, including seeds of stress‐tolerant varieties, minimum tillage, laser land leveling, site‐specific nutrient management and crop diversification. We applied a multivariate probit model for the simultaneous multiple adoption decisions, and ordered probit models for assessing the factors affecting the level of adoption. The adoption of the various CSA practices is interrelated, whereas several factors, including household characteristics, plot characteristics, market access and major climate risks are found to affect the probability and level of CSA adoption. Climate‐smart agriculture (CSA) adoption and its intensity also vary significantly between eastern Bihar, which is relatively poor and densely populated, and north‐western Haryana. Engaging multiple stakeholders such as farmers, agricultural institutions, agricultural service providers and concerned government departments at the local level is crucial for the large‐scale uptake of CSA. The study, therefore, calls for agricultural policy reforms so that most of the issues related to the uptake of CSA can be adequately addressed. 相似文献
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Jeetendra P. Aryal Arun Khatri-Chhetri Tek B. Sapkota Dil B. Rahut Olaf Erenstein 《Natural resources forum》2020,44(3):255-273
This study assesses the factors affecting the adoption of laser land leveling (LLL) and its impact on crop yields and net returns. It uses household survey data collected from 621 randomly selected farmers in Karnal District of Haryana, India, and applies endogenous switching regression models. Unbiased model results show that the adoption of LLL has significant positive impacts on yields (rice +549 kg ha−1; wheat +471 kg ha−1) and net returns (an aggregate increase of US$230/ha) in the rice-wheat production system, thereby raising farmers' income substantially. Our results show that LLL adoption at the farm level is influenced by land size and quality, tenure system, availability of farm machinery (tractor), access to finance and farm cooperatives, gender of household head, level of education and training and access to extension services. Therefore, LLL scaling strategies need to consider these bio-physical and socio-economic parameters to reach adoption at scale and generate large social, economic, and environmental benefits. 相似文献
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Aryal Jeetendra Prakash Sapkota Tek Bahadur Krupnik Timothy J. Rahut Dil Bahadur Jat Mangi Lal Stirling Clare M. 《Environmental science and pollution research international》2021,28(37):51480-51496
Environmental Science and Pollution Research - Fertilizer, though one of the most essential inputs for increasing agricultural production, is a leading cause of nitrous oxide emissions from... 相似文献
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Aryal Jeetendra Prakash Sapkota Tek Bahadur Rahut Dil Bahadur Krupnik Timothy J. Shahrin Sumona Jat M. L. Stirling Clare M. 《Environmental management》2020,66(1):105-120
Environmental Management - Rural households in South Asia’s coastal deltas face numerous livelihood challenges, including risks posed by climatic variability and extreme weather events. This... 相似文献
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