Impact Assessment of Climate Change on Rice Yield Using a Crop Growth Model and Activities Toward Adaptation: Targeting Three Provinces in Indonesia

Kinose, Yoshiyuki; Masutomi, Yuji

doi:10.1007/978-981-13-9235-1_5

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…The uptake of adaptation strategies by communities is influenced by whether they accept them as addressing the perceived vulnerabilities [36]. Therefore, a better understanding of how people perceive their vulnerabilities is key to shape further adaptation strategies and actions, e.g., by government and other external programmes [7,33,34,37,38], thus also addressing the reported need to strengthen communities' adaptive capacities [39].…”

Section: Assessing Local Perceptions On Vulnerability and Adaptationmentioning

confidence: 99%

Communities’ Adaptation and Vulnerability to Climate Change: Implications for Achieving a Climate-Smart Landscape

Widayati¹,

Louman²,

Mulyoutami³

et al. 2021

Land

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Rural landscapes in many parts of Indonesia are rapidly being transformed, due to the expansion of agrocommodity plantations—oil palm in particular. At the same time, communities in those landscapes face declining crop yields and ecosystem degradation as a result of both climate and non-climate factors. We assessed local perceptions on climate stressors, adaptation and vulnerability using focus group discussions in Ketapang, West Kalimantan. We found that the main perceived climatic stressors were extreme and unpredictable seasons, fires, and saltwater intrusion, affecting ecosystem services and agricultural production. Land clearing and forest loss were mentioned as exacerbating non-climatic stressors. Respondents indicated willingness to adapt to these changes by investing in long-term measures, such as tree-planting. To adapt to yield declines, respondents indicated that many farmers shifted from rubber to oil palm. Such adaptation actions benefit households in the short term but may be at odds with long-term adaptation objectives at the landscape level. Finally, we found that perceptions about vulnerability differed between landscapes, and between communities at the landscape level and stakeholders at the district level. This stresses the importance of participatory and inclusive planning and multi-stakeholder processes towards context-based climate action planning to accommodate the differences in contexts and scale, and to reconcile the differences in perceptions.

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Section: Assessing Local Perceptions On Vulnerability and Adaptationmentioning

confidence: 99%

Communities’ Adaptation and Vulnerability to Climate Change: Implications for Achieving a Climate-Smart Landscape

Widayati¹,

Louman²,

Mulyoutami³

et al. 2021

Land

View full text Add to dashboard Cite

show abstract

The Climatic Benefit of Perennial Rice Cropping System: A Case Study in West Java, Central Java, and East Java

Khairulbahri

Rivaldo

2023

Water and Environment for Sustainability

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Research on Rice Yield Prediction Model Based on Deep Learning

Han

Liu

He³

et al. 2022

Computational Intelligence and Neuroscience

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Food is the paramount necessity of the people. With the progress of society and the improvement of social welfare system, the living standards of people all over the world are constantly improving. The development of medical industry improves people’s health level constantly, and the world population is constantly climbing to a new peak. With the continuous development of deep learning in recent years, its advantages are constantly displayed, especially in the aspect of image recognition and processing, it drives into the distance. Thanks to the superiority of deep learning in image processing, the combination of remote sensing images and deep learning has attracted more attention. To simulate the four key factors of rice yield, this article tries a regression model with a combination of various characteristic independent variables. In this article, the selection of the best linear and nonlinear regression models is discussed, the prediction performance and significance of each regression model are analyzed, and some thoughts are given on estimation of actual rice yield.

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Impact Assessment of Climate Change on Rice Yield Using a Crop Growth Model and Activities Toward Adaptation: Targeting Three Provinces in Indonesia

Cited by 3 publications

References 21 publications

Communities’ Adaptation and Vulnerability to Climate Change: Implications for Achieving a Climate-Smart Landscape

Communities’ Adaptation and Vulnerability to Climate Change: Implications for Achieving a Climate-Smart Landscape

The Climatic Benefit of Perennial Rice Cropping System: A Case Study in West Java, Central Java, and East Java

Research on Rice Yield Prediction Model Based on Deep Learning

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