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Replication Data for: Determining bioclimatic space of Himalayan alder for agroforestry systems in Nepal

World Agroforestry - Research Data Repository Dataverse OAI Archive

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Title Replication Data for: Determining bioclimatic space of Himalayan alder for agroforestry systems in Nepal
 
Identifier https://doi.org/10.34725/DVN/NHLVWA
 
Creator Rana, Santosh Kumar
Rana, Hum Kala
Shrestha, Krishna K
Sujakhu, Suresh
Ranjitkar, Sailesh
 
Publisher World Agroforestry - Research Data Repository
 
Description Himalayan alder species are proven to be very useful in traditional as well as contemporary agroforestry practice. These nitrogen-fixing trees are also useful in the land restoration. Therefore, understanding the distribution of Himalayan alder and the potential zone for plantation is meaningful in the agroforestry sector. Suitable climatic zones of Alnus spp. were modelled in MaxEnt software using a subset of least correlated bioclimatic variables for current conditions (1950e2000), topographic variables (DEM derived) and Landuse Landcover (LULC) data. We generated several models and selected the best model against random models using ANOVA and t-test. The environmental variables that best explained the current distribution of the species were identified and used to project into the future. For future projections, ensemble scenarios of climate change projection derived from the results of 19 Earth System Models (ESM) were used. Our model revealed that the most favorable conditions for Alnus nepalensis are in central Nepal in the moist north-west facing slope, whereas for Alnus nitida they are in western Nepal. The major climatic factor that contributes to Alnus species distribution in Nepal appears to be precipitation during the warmest quarter for A. nepalensis and precipitation during the driest quarter for A. nitida. Future projections revealed changes in the probability distribution of these species, as well as where they need conservation and where they can be planted. Also, our model predicts that the distribution of Alnus spp. in hilly regions will remain unchanged, and therefore may represent sites that can be used to revitalize traditional agroforestry systems and extract source material for land restoration.
 
Subject Earth and Environmental Sciences
Other
Alder
Agroforestry
Species distribution modelling
Climate change
MaxEnt
 
Contributor Sailesh Ranjitkar