Improving performance of Agro-Ecological Zone (AEZ) modeling by cross-scale model coupling: An application to japonica rice production in Northeast China

Tian, Zhan; Zhong, Honglin; Sun, Lei; Fischer, G.; Velthuizen, H.T. van; Liang, Zhuoran

doi:10.1016/j.ecolmodel.2013.11.020

Cited by 31 publications

(19 citation statements)

References 39 publications

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“…The field of their application is expanding. For example, Tian et al (2014) developed a model coupling and fusion method to assess the impact of future climate change on crop growth and yield. Srivastava et al (2012aSrivastava et al ( , b, 2016 used the EPIC crop growth model to simulate the impact of fallow availability on yam yield in West Asian based on historical data and to estimate the climate change impact on yam yield in the same region.…”

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Agro-ecological suitability assessment of Chinese Medicinal Yam under future climate change

Fan

Zhong

et al. 2019

Environ Geochem Health

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Chinese Medicinal Yam (CMY) has been prescribed as medicinal food for thousand years in China by Traditional Chinese Medicine (TCM) practitioners. Its medical benefits include nourishing the stomach and spleen to improve digestion, replenishing lung and kidney, etc., according to the TCM literature. As living standard rises and public health awareness improves in recent years, the potential medicinal benefits of CMY have attracted increasing attention in China. It has been found that the observed climate change in last several decades, together with the change in economic structure, has driven significant shift in the pattern of the traditional CMY planting areas. To identify suitable planting area for CMY in the near future is critical for ensuring the quality and Dongli Fan and Honglin Zhong have contributed equally to this work.Environ Geochem Health (2020) 42:987-1000 https://doi.org/10.1007/s10653-019-00437-w( 0123456789().,-volV) (0123456789().,-volV) Hebei, and western Shandong. The climate suitability of these areas will be improved due to global warming in the next 50 years, and therefore, they will continue to be the most suitable CMY planting regions.

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confidence: 99%

Agro-ecological suitability assessment of Chinese Medicinal Yam under future climate change

Fan

Zhong

et al. 2019

Environ Geochem Health

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“…As summarized by the IPCC (2012), in the event of a 1-2 • C increase in the local temperature, changing crop varieties, modifying seeding and/or harvesting dates, and applying other farm management measures can reduce yield losses by 10-15%. Tian et al (2014) pointed out that farmers can compensate for the negative influence of climate warming or even increase http://dx.doi.org/10.1016/j.ecolmodel.2014.12.013 0304-3800/© 2015 Elsevier B.V. All rights reserved.…”

Section: Introductionmentioning

confidence: 99%

Information provision, policy support, and farmers’ adaptive responses against drought: An empirical study in the North China Plain

Wang

Yang

Huang

et al. 2015

Ecological Modelling

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a b s t r a c tAs an important agricultural production region in China, the North China Plain (NCP) is an ecologically vulnerable region that frequently is hit by drought. Faced with drought and other extreme climate events, policy makers have given top priority to the formulation and implementation of adaptation policies. This paper assessed the effectiveness of adaptation policies, including the provision of early warning information and policy supports, on farmers' adaptive decisions regarding the planting of the wheat crop in the NCP. Based on a unique dataset from a large-scale village and farm survey in five provinces in the NCP, an econometric model of farmers' adaptation practices is estimated. Results show that when faced with a more severe drought, farmers change their management practices to mitigate its effects by adjusting seeding or harvesting dates and enhancing irrigation intensity. The provisions of early warning and prevention information and policy supports against drought facilitate farmers to make farm management adaptations. However, the effectiveness of early warning and prevention information or policy supports differs by their provision channels or types. The findings of this study have policy implications in coping with the rising frequency and seriousness of extreme weather events in China as a whole and in ecologically more vulnerable NCP in particular.

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“…The analytical model may include dynamics at a regional level ignored by the agent-based model, and similarly the distributed model will have details of interactions for which only the emergent outcomes are reflected at a regional scale. We would like to combine these models, with both regional dynamics and detailed interactions, as a cross-scale model (Tian et al, 2014). In such a combined model, the story told by the two sides should be commensurate.…”

Section: Cross-scale Modellingmentioning

confidence: 99%

A flexible approach to model coupling through probabilistic pooling

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2017

Environmental Modelling & Software

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Improving performance of Agro-Ecological Zone (AEZ) modeling by cross-scale model coupling: An application to japonica rice production in Northeast China

Cited by 31 publications

References 39 publications

Agro-ecological suitability assessment of Chinese Medicinal Yam under future climate change

Agro-ecological suitability assessment of Chinese Medicinal Yam under future climate change

Information provision, policy support, and farmers’ adaptive responses against drought: An empirical study in the North China Plain

A flexible approach to model coupling through probabilistic pooling

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