| Neil Handisyde is building on previous climate related work within the GISAP group and developing Geographic Information System (GIS) based models at global as well as localised scales to investigate current and future aquaculture potential under changing climatic conditions with the aim of assessing the following:
-Areas where aquaculture will be negatively affected by climate change.
-Areas where people will be most vulnerable to these negative impacts. Are any particular groups especially vulnerable?
-Impact pathways. Which culture systems and species are at risk in relation to specific climate induced events? What are the consequences for freshwater, brackish water, and marine systems operating at a range of scales and intensities?
-Areas where aquaculture production may benefit from climate changes and/or where new aquaculture opportunities may arise.
-Linking suitable species and culture methods to a given area under future climate scenarios while considering other relevant environmental, geographic, socio-economic and cultural variables. Where should aquaculture development be promoted? How can aquaculture adapt to, and take advantage of, a changing climate?
-Areas where aquaculture may be able to provide alternative livelihood strategies in cases where existing activities such as fishing and terrestrial agriculture are likely to be negatively affected by climate change.
-Investigate options for incorporating terrestrial agriculture and fisheries models.
When assessing aquaculture potential in relation to a changing climate it is important to remember that aquaculture does not operate in isolation from other sectors and along with climate variables a wide range of geographic, environmental and socio-economic factors will be relevant. Currently General Circulation Model (GCM) data from a range of climate modelling centres is being combined with a broad range of variables in a multi criteria framework to produce global models at 30 arc-second resolution (approximately 1km). Global modelling results along with findings from previous research will help guide the selection of localised study areas for more in depth investigation and higher resolution modelling. Currently coastal areas of Bangladesh and Brazil have been selected.
As well as anticipating negative impacts this project will help future aquaculture take advantage of, and adapt to, changing conditions by giving an understanding of which aquaculture methods and species will be best suited to a given location in relation to a changing environment. This information will provide a highly useful resource for those involved in decision making and policy formation in relation to future aquaculture development and climate change. |