Abstract
Change is ubiquitous in forest ecosystems. Forests undergo both seasonality ns well as enduring escalation cycles which may vary in long term. These long-term changes are punctuated by habitually interim disturbances from fire, insects, disease, and harvest which strongly alter the state and functioning of the forest. The spatio-temporal information on process-based forest loss as well as change is essential for a wide range of applications. The disturbances over forest cover and resulted changes alter the water and carbon cycles of forest stands as well as bang the habitat and biodiversity of these ecosystems. To effectively understand how forest disturbance impacts forest state and functioning, the disturbance and related effects on forest cover is needed to be quantified at spatial scale where human management and natural strife occur. In this present study, the spatial pattern of forest cover of the four blocks like Garhbeta 1, Garhbeta 2, Garhbeta 3 and Salboni under Midnapore Sadar Sub-division was analysed on temporal scale. The forested area of this region is region is lying under the Midnapore forest division, the total area of which is 50,267.49 ha. Forest is the one of the important natural resources of this area and the important source of rural livelihood as well as ecological sustainability. But it is changing temporally rather is fading and maximum stress is seen onto the dense forest and open forest. So for the restoration practice, forest disturbance indexing as well as identification of disturbed sites and an account on forest regeneration and degeneration are so needful. Therefore, as per the goal of the study a Multicriteria based Forest Disturbance Index and forest fragmentation analysis were deployed. Finally it is so pertinent to mention that the forest covers under the blocks like Garhbeta 2 and Salboni were in a miserable state.
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Ray, R., Biswas, S., Bej, A. (2021). Forest Disturbance Analysis of Selected Blocks of Midnapore Subdivision using Digital Remote Sensing Technique. In: Shit, P.K., Pourghasemi, H.R., Das, P., Bhunia, G.S. (eds) Spatial Modeling in Forest Resources Management . Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-56542-8_13
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