Improving the sustainability of agricultural land use: An integrated framework for the conflict between food security and environmental deterioration

Qi, Xiaoxing; Yonghu, Fu; Wang, Raymond Yu; Ng, Cho Nam; Dang, Heping; He, Yanling

doi:10.1016/j.apgeog.2017.12.009

Cited by 68 publications

(22 citation statements)

References 44 publications

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“…The lake area is an alluvial plain with an elevation of 34 m [34]. The main land use type of the study area is cropland, specifically, paddy fields [35]. The rice cultivation is mainly single-season.…”

Section: Study Areamentioning

confidence: 99%

Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation

Zhou

Liu

2019

Remote Sensing

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Precise simulation of crop growth is crucial to yield estimation, agricultural field management, and climate change. Although assimilation of crop model and remote sensing data has been applied in crop growth simulation, few studies have considered optimizing the crop model with respect to phenology. In this study, we assimilated phenological information obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) time series data into the World Food Study (WOFOST) model to improve the accuracy of rice growth simulation at the regional scale. The particle swarm optimization (PSO) algorithm was implemented to optimize the initial phenology development stage (IDVS) and transplanting date (TD) in the WOFOST model by minimizing the difference between simulated and observed phenology, including heading and maturity date. Assimilating phenology improved the accuracy of the rice growth simulation, with correlation coefficients (R) equal to 0.793, 0822, and 0.813 at three fieldwork dates. The performance of the proposed strategy is comparable with that of the enhanced vegetation index (EVI) time series assimilation strategy, with less computation time. Additionally, the result confirms that the proposed strategy could be applied with different spatial resolution images and the difference of simulated LAI mean is less than 0.35 in three experimental areas. This study offers a novel assimilation strategy with regard to the phenology development process, which is efficient and scalable for crop growth simulation.

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Section: Study Areamentioning

confidence: 99%

Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation

Zhou

Liu

2019

Remote Sensing

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“…All countries strive to achieve food security, but this is faster and cheaper for developed countries (Qi et al, 2018). The food development strategy should take into account the following actions:…”

Section: Resultsmentioning

confidence: 99%

Ensuring Food Security In Kazakhstan: A Review Of Foreign Experience

Zhanbekova¹

2020

European Proceedings of Social and Behavioural Sciences

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“…Three strands of the literature are considered. First are studies on the link between trade and environment; second are those devoted to the relationship between the environment and food security (Acevedo et al, 2018;Ogundari et al, 2017;Qia et al, 2018); and finally, studies on the nexus between trade and food security (Chatterjee & Murphy, 2014;Clapp, 2014Clapp, , 2015. Although Schiavone (2010) and Elbehri et al (2015) explore the link between trade, environment and food security, the underlying assumption of symmetry warrants further scrutiny because the effect of climate change and trade openness on food productivity could be asymmetric.…”

Section: Empirical Reviewmentioning

confidence: 99%

Impact of Trade Openness and Climate Change on Food Productivity in Nigeria

Shuaibu

2020

Foreign Trade Review

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Liberal trade regimes could help improve food productivity if environmental concerns such as adverse weather conditions that affect agriculture are addressed. This issue has not received adequate empirical scrutiny as linear models dominate extant literature. In this article, we check whether accounting for trade and climate change asymmetries is important in explaining food productivity in Nigeria. Using a nonlinear autoregressive distributed lag (ARDL) model, the existence of asymmetry was established in the long run but not in the short run. The long-run estimates show that high rainfall variability increases food production, but the reverse is the case in the short run where the decomposed shocks exert a negative impact. An increase in the volume of trade boosts food production in the long run, whereas the contemporaneous estimates reveal that lower trade flows enhance food productivity. The findings have important implications for food policy formulation and implementation. JEL: F18, Q18, Q56

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Improving the sustainability of agricultural land use: An integrated framework for the conflict between food security and environmental deterioration

Cited by 68 publications

References 44 publications

Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation

Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation

Ensuring Food Security In Kazakhstan: A Review Of Foreign Experience

Impact of Trade Openness and Climate Change on Food Productivity in Nigeria

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