2018
DOI: 10.18520/cs/v115/i3/510-516
|View full text |Cite
|
Sign up to set email alerts
|

Forest Cover Monitoring and Prediction in A Lesser Himalayan Elephant Landscape

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
7
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
4
2
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 19 publications
(7 citation statements)
references
References 0 publications
0
7
0
Order By: Relevance
“…The presence of remnant trees in the fringe villages of Pakke may be especially important for the forest birds that seasonally move from the sanctuary area to fringe area due to lure of seasonal flowering. Since most of the landscape found in the eastern periphery of the Pakke is highly degraded and deforested and finally converted into agriculture fields (Srivastava et al 2002;Kushwaha et al 2018). Similarly, it is also reported that isolated trees and forest patches found in the farmland support critical food resources for altitudinal migrant bird species which move from the Monteverde Reserve Complex down to the Pacific lowlands (Powell and Bjork 1995;Guindon 1996).…”
Section: Discussionmentioning
confidence: 99%
“…The presence of remnant trees in the fringe villages of Pakke may be especially important for the forest birds that seasonally move from the sanctuary area to fringe area due to lure of seasonal flowering. Since most of the landscape found in the eastern periphery of the Pakke is highly degraded and deforested and finally converted into agriculture fields (Srivastava et al 2002;Kushwaha et al 2018). Similarly, it is also reported that isolated trees and forest patches found in the farmland support critical food resources for altitudinal migrant bird species which move from the Monteverde Reserve Complex down to the Pacific lowlands (Powell and Bjork 1995;Guindon 1996).…”
Section: Discussionmentioning
confidence: 99%
“…Similar to Karnataka (Reddy et al, 2020) and other states (Karanth et al, 2018), implementers in Assam are given clear maximums for compensation amounts and some instruction on the process for verification, but otherwise given essentially no guidance on the application process for claimants, methods for measuring losses, the required format for verification reports, time allowable for settling valid claims, or (again) the main objective of the scheme. Forest Department officials appear to have clarified (at least internally) the application process de facto, and the emphasis on legitimate land ownership might help guard against perverse incentives for land conversion (Bulte & Rondeau, 2007), particularly considering the continued contestation of parts of Sonitpur (Kushwaha et al, 2018). But much else remains unspecified.…”
Section: Discussionmentioning
confidence: 99%
“…It is also a major site of human-elephant conflict (Anwaruddin Choudhury, 2004). Between 1924 and 2009, the sub-Himalayan forests of northern Assam lost about 42.5% of their tree cover, including forests used by elephants to move to and from seasonal foraging areas along the Brahmaputra River (Kushwaha, Nandy, Shah, Agarwal, & Mukhopadhyay, 2018). Much of the forest losses in recent decades are associated with ethnic insurgency in northern Sonitpur, as insurgents commandeered and replaced protected forests with agriculture (Hazarika & Saikia, 2013;Kushwaha & Hazarika, 2004;Srivastava, Singh, Singh, Kushwaha, & Roy, 2002).…”
Section: Study Area and Study Speciesmentioning
confidence: 99%
“…The assessment and forecasting of decadal forest cover changes of forest fragmentation as well as a prediction in Wildlife Sanctuary regions have been the subject of numerous studies by various scholars (Chavan et al, 2018;Kushwaha et al, 2018). It became evident that the researchers were using a range of methods, including the comparison of post-classi cation methods like image ratio, accuracy assessment, image inversion, conventional image variation, image matrix, and manual on-screen digitization of various data products with different spatial scales, to detect LULC changes.…”
Section: Introductionmentioning
confidence: 99%