Mitigating threats to plant species (important for biomedical use and food security) in the presence of climate change with spatial models

This project will result in the creation of an R package which will demonstrate existing statistical methodology, area interaction point process models, in a novel area of application– mitigation of climate change threat to public health. The proposed models (incorporated in the R package) will facilitate the quantification of the impact of climate change (temperature, rainfall, pH) on the spatial distribution of key plant species (for nutrition in environmentally vulnerable communities) in a multi-species plant community. Climate change has been implicated as negatively impacting on crop yield and food security (https://www.actionagainsthunger.org/story/8-crops-endangered-climate-change ). The mitigation of these effects needs to be addressed in multipronged ways – including the use of spatial models. The models will also quantify the inter-plant associations and thus inform reforestation/replanting efforts. This quantification will improve the knowledge on the underlying processes which govern the coexistence of multispecies.
This project was funded by the Centre for Statistics

This project will result in the creation of an R package which will demonstrate existing statistical methodology, area interaction point process models, in a novel area of application– mitigation of climate change threat to public health. The proposed models (incorporated in the R package) will facilitate the quantification of the impact of climate change (temperature, rainfall, pH) on the spatial distribution of key plant species (for nutrition in environmentally vulnerable communities) in a multi-species plant community. Climate change has been implicated as negatively impacting on crop yield and food security (https://www.actionagainsthunger.org/story/8-crops-endangered-climate-change ). The mitigation of these effects needs to be addressed in multipronged ways – including the use of spatial models. The models will also quantify the inter-plant associations and thus inform reforestation/replanting efforts. This quantification will improve the knowledge on the underlying processes which govern the coexistence of multispecies.