production; protecting soil, groundwater, and surface water quality; and slowing
down and eventually halting further loss of biodiversity are considered as the key
elements of sustainable development (Kram and Stehfest 2011).
6 Future Research Prospect
1. There is a need for further research on climate change impact assessment using
multiple models as well as multiple approaches for the development of vulnerability profile of the region.
2. Application of geoinformatics in the field of biodiversity requires some new
approaches like identification of potential risk zones and habitats to take proper
precautions for appropriate conservation measures.
3. The climate change assessment using geoinformatics must consider their consequences with ecosystem structure and functioning so that it could provide
more valuable information toward its adaptation and mitigation.
4. A qualitative as well as quantitative approach to assess the impacts of climate
change on human health.
7 Conclusion
Biodiversity is intrinsically linked to climate and large-scale changes impacts on the
habitats of species within ecosystem. Climatic changes are likely to intense the
problems of future food security by exerting pressure on biodiversity. A number of
rare and endemic species of flora and fauna found in Northeast India may soon be
extinct due to climate change unless conservation efforts are accelerated. For
avoiding rapid and irreversible change in biodiversity, conservation strategies
needed to focus on supporting the species’ natural capacity to adapt to climate
change.
Acknowledgements The author would like to thank NRSC Open EO Data Archive (NOEODA)
from where the (IRS P6) AWiFS satellite images and CARTOSAT-I DEM datasets were downloaded and used in the present study.
References
Arockiaraj, S., Kumar, A., Hoda, N., & Jeyaseelan, A. T. (2015). Identification and quantification
of tree species in open mixed forests using high resolution quickbird satellite imagery. Journal
of Tropical Forestry and Environment, 5(02), 40–53.
Barbosa, H. A., Huete, A. R., & Baethgen, W. E. (2006). A 20-year study of NDVI variability over
the Northeast region of Brazil. Journal of Arid Environments, 67, 288–307.
Biodiversity Status and Climate Change Scenario in Northeast India
117
down and eventually halting further loss of biodiversity are considered as the key
elements of sustainable development (Kram and Stehfest 2011).
6 Future Research Prospect
1. There is a need for further research on climate change impact assessment using
multiple models as well as multiple approaches for the development of vulnerability profile of the region.
2. Application of geoinformatics in the field of biodiversity requires some new
approaches like identification of potential risk zones and habitats to take proper
precautions for appropriate conservation measures.
3. The climate change assessment using geoinformatics must consider their consequences with ecosystem structure and functioning so that it could provide
more valuable information toward its adaptation and mitigation.
4. A qualitative as well as quantitative approach to assess the impacts of climate
change on human health.
7 Conclusion
Biodiversity is intrinsically linked to climate and large-scale changes impacts on the
habitats of species within ecosystem. Climatic changes are likely to intense the
problems of future food security by exerting pressure on biodiversity. A number of
rare and endemic species of flora and fauna found in Northeast India may soon be
extinct due to climate change unless conservation efforts are accelerated. For
avoiding rapid and irreversible change in biodiversity, conservation strategies
needed to focus on supporting the species’ natural capacity to adapt to climate
change.
Acknowledgements The author would like to thank NRSC Open EO Data Archive (NOEODA)
from where the (IRS P6) AWiFS satellite images and CARTOSAT-I DEM datasets were downloaded and used in the present study.
References
Arockiaraj, S., Kumar, A., Hoda, N., & Jeyaseelan, A. T. (2015). Identification and quantification
of tree species in open mixed forests using high resolution quickbird satellite imagery. Journal
of Tropical Forestry and Environment, 5(02), 40–53.
Barbosa, H. A., Huete, A. R., & Baethgen, W. E. (2006). A 20-year study of NDVI variability over
the Northeast region of Brazil. Journal of Arid Environments, 67, 288–307.
Biodiversity Status and Climate Change Scenario in Northeast India
117