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The land analysed in this study does not present the high-efficiency circle-layer land-use structure.
Given the focus of the forest reform process on unreserved public lands, our analyses excluded both private land and existing reserves.
Land use analyses show 584% growth in built-up area during the last four decades with the decline of vegetation by 66% and water bodies by 74%.
The land use analyses reveal changes in the forest cover across Kudremukh National Park (KNP), Rajiv Gandhi Tiger Reserve (RTR), Bandipur Tiger Reserve (BTR).
To address these challenges and improve the accuracy of land use analyses, we implement a post-classification strategy to detect misclassified land use observations using a latent multinomial logit model.
Temporal land use analyses show a decrease in the evergreen forest cover from 57.31 % (1979) to 32.08 % (2013).
Temporal land use analyses (Fig. 5) show a decrease in the evergreen forest cover from 57.31 % (1979) to 32.08 % (2013).
Despite all we have learned from land use analyses, more direct measures of daily population flows are desirable, but difficult to find.
Both direct observation and remotely sensed land cover analyses showed extensive large-scale commercial cereal cultivation in the outer ring of former group ranches around the Maasai Mara National Reserve MMNRR).
Temporal land use analyses show the trend of deforestation, evident from the reduction of evergreen - semi evergreen forest cover from 57.31 % (1979) to 32.08 % (2013) Forest fragmentation at the landscape level shows a decline of interior forests 64.42 % (1979) to 25.62 % (2013) and transition of non-forest categories such as crop land, plantations and built-up areas, amounting now to 47.29 %.
However, there is not a clear approach for incorporating the dynamics of recurrent harvest and reforestation into land change analyses.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com