Considering the impacts of global climate change on forest ecosystems and dependence of humans on the forests, there is an evident need for understanding the climate change vulnerability of forest ecosystems and to formulate site specific adaptation options. The web app on climate change vulnerability of forest ecosystems provides information about the current relationships between climate variables and biophysical variables depicting functioning of forests. The application also provides VDC level information on the projected relationships between climate and forest functioning that gives us a better idea about impacts of future climate change, along with this the app also provides forest areas falling under different degrees of human dependence. Based on the identified VDCs under high vulnerability and high dependence the app provides 12 adaptation options with the ancillary data, which can facilitate the adaptation planning and management.
A number of datasets on vulnerability (i.e. albedo change, GPP change, LAI change, LST change, NPP change) and dependence (i.e. deforestation, fuelwood, NTFP, grazing) have been developed for Chitwan Annapurna Landscape (CHAL). Using the vulnerability and dependence parameter layers, final vulnerability and dependence layers have been created and classified each into three classes: High, Medium and Low.
The application allows interactive visualization of various vulnerability and dependence layers. Users can look at the relation between any two selected layers by swiping one layer over another.
One can view the information on vulnerability and dependence for any given VDC along with adaptation measures based on combination of vulnerability and dependence values. Alternatively, one can digitize a polygon or an area of interest (AOI) on map and get the similar information for that AOI.
The SERVIR Project, NASA, USAID and ICIMOD make no express or implied warranty of this application and associated data as to the merchantability or fitness for a particular purpose. Neither the US Government nor its contractors shall be liable for special, consequential or incidental damages attributed to this application and associated data.