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    Publication Date: 2022-03-21
    Description: Agriculture is vastly impacted by climate change which leads to the situation of food security or insecurity at both regional and global levels. Pakistan is predicted to go through an area reduction and geographical shifting of major crops in the near future. The present study asseses the potential future distribution of Wheat and Maize in Pakistan. Based on current location of these crops, Maxent species distribution model is used to predict future changes in crop distribution. 58 presence records for wheat and 48 presence records for maize are used. Model is simulated for current and future climate change scenarios (RCP 4.5 and RCP 8.5) using CMIP5 model, MPI-ESM-LR. Results from the model show a decline in production area, where wheat undergoes 30% to 35% reduction and maize 23% to 36% reduction depending upon climate change scenarios, RCP 4.5 and RCP 8.5. The model predictions are highly accurate with test AUC values of 0.88 for wheat and 0.89 for maize which are higher than 0.5 of a null-model. A Jackknife test for variable importance indicates that irrigation, precipitation seasonality and precipitation of warmest quarter are the most important environmental variables determining the potential geographic distribution of the crops. Due to the varying severity and nature of climate impacts, adaptation strategies are needed. The study can aid policy makers in devising policies which can help reduce the threat of future food insecurity in the region.
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 2
    Publication Date: 2022-03-21
    Description: The impacts of climate change are projected to become more intense and frequent. One of the indirect impacts of climate change is food insecurity. Agriculture in Pakistan, measured fourth best in the world, is already experiencing visible adverse impacts of climate change. Among many other food sources, potato crop remains one of the food security crops for developing nations. Potatoes are widely cultivated in Pakistan. To assess the impact of climate change on potato crop in Pakistan, it is imperative to analyze its distribution under future climate change scenarios using Species Distribution Models (SDMs). Maximum Entropy Model is used in this study to predict the spatial distribution of Potato in 2070 using two CMIP5 models for two climate change scenarios (RCP 4.5 and RCP 8.5). 19 Bioclimatic variables are incorporated along with other contributing variables like soil type, elevation and irrigation. The results indicate slight decrease in the suitable area for potato growth in RCP 4.5 and drastic decrease in suitable area in RCP 8.5 for both models. The performance evaluation of the model is based on AUC. AUC value of 0.85 suggests the fitness of the model and thus, it is applicable to predict the suitable climate for potato production in Pakistan. Sustainable potato cultivation is needed to increase productivity in developing countries while promoting better resource management and optimization.
    Language: English
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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