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Understanding the Linkages between Climate Change and Forest


Affiliations
1 Indian Institute of Forest Management, Bhopal 462 003, India
2 Centre for Climate Change Studies, Indian Institute of Forest Management, Bhopal 462 003, India
3 Indian Institute of Remote Sensing, Dehradun 248 001, India
4 School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110 067, India
5 Indian Space Research Organisation, Bengaluru 560 094, India
 

The present study reviews the application of various regional climate models and remote sensing techniques to understand and define impacts of climate change on the forest resources with specific reference to India. It illustrates the potentials and limitations of regional climate models, vegetation models and remote sensing techniques like normalized difference vegetation index time-series analysis, change detection method and phenological attributes in assessing and monitoring the impacts of climate change on vegetation. The study recommends that regional climate models and remote sensing techniques need to be integrated in tandem for understanding the present and future impacts of climate change on forest ecosystems. This could help to improve the accuracy and prediction, which can contribute to planning effective adaptation strategies in the forestry sector.

Keywords

Climate Change, Forest, Regional Climate Models, Remote Sensing.
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  • Understanding the Linkages between Climate Change and Forest

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Authors

Rinku Moni Devi
Indian Institute of Forest Management, Bhopal 462 003, India
Maneesh Kumar Patasaraiya
Indian Institute of Forest Management, Bhopal 462 003, India
Bhaskar Sinha
Centre for Climate Change Studies, Indian Institute of Forest Management, Bhopal 462 003, India
Sameer Saran
Indian Institute of Remote Sensing, Dehradun 248 001, India
A. P. Dimri
School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110 067, India
Rajeev Jaiswal
Indian Space Research Organisation, Bengaluru 560 094, India

Abstract


The present study reviews the application of various regional climate models and remote sensing techniques to understand and define impacts of climate change on the forest resources with specific reference to India. It illustrates the potentials and limitations of regional climate models, vegetation models and remote sensing techniques like normalized difference vegetation index time-series analysis, change detection method and phenological attributes in assessing and monitoring the impacts of climate change on vegetation. The study recommends that regional climate models and remote sensing techniques need to be integrated in tandem for understanding the present and future impacts of climate change on forest ecosystems. This could help to improve the accuracy and prediction, which can contribute to planning effective adaptation strategies in the forestry sector.

Keywords


Climate Change, Forest, Regional Climate Models, Remote Sensing.

References





DOI: https://doi.org/10.18520/cs%2Fv114%2Fi05%2F987-996