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- W2186186973 abstract "The world’s forests are rapidly being cleared for for agricultural development. However, poorly managed land conversion decreases the potential ecosystem services provided by remaining natural areas. Specifically, in this study the loss of pollination services provided by native pollinators. I determined the optimal arrangement of forest and cropland so as to provide maximum pollination services in the landscape. I quantified the pollination services based on the distance between the forest area and cropland area in the landscape. Compactness constraints limit the area to perimeter ratio of each land type, cropland and forest. I used MINLP to find the optimal land-use configuration. Using this model, I explored different pollinator types and crop types to determine the combination producing the highest pollination services. Sensitivity analysis of these parameters revealed that shorter-flying pollinators may be better pollinator for a particular crop than stronger-fliers. Overall, my optimization model provides a blueprint of how to optimally design forest conversion to make agriculture more sustainable by ensuring the pollination services provided from the forests remain." @default.
- W2186186973 created "2016-06-24" @default.
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- W2186186973 date "2012-01-01" @default.
- W2186186973 modified "2023-09-27" @default.
- W2186186973 title "Optimal Management of Mixed Landscape of Forests and Croplands for Pollination Services using Mixed Integer Non-Linear Programming" @default.
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