Spatial pattern analysis for quantification of landscape structure of Tadoba-Andhari Tiger Reserve, Central India

Paliwal, Ambica; Mathur, Vinod B.

doi:10.1007/s11676-014-0444-3

Cited by 11 publications

(8 citation statements)

References 22 publications

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“…The reserve spreads across an area of 1700 km 2 in the Deccan plateau. The terrain of TATR is mostly undulating and hilly in the north and flat in the southern part [19]. The climate is characterized by a hot and long summer and a short and mild winter [19].…”

Section: Study Sitesmentioning

confidence: 99%

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Population density and habitat use of two sympatric small cats in a central Indian reserve

2020

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Despite appreciable advances in carnivore ecology, studies on small cats remain limited with carnivore research in India being skewed towards large cats. Small cats are more specialized than their larger cousins in terms of resource selection. Studies on small cat population and habitat preference are critical to evaluate their status to ensure better management and conservation. We estimated abundance of two widespread small cats, the jungle cat, and the rusty-spotted cat, and investigated their habitat associations based on camera trap captures from a central Indian tiger reserve. We predicted fine-scale habitat segregation between these sympatric species as a driver of coexistence. We used an extension of the spatial count model in a Bayesian framework approach to estimate the population density of jungle cat and rusty-spotted cat and used generalized linear models to explore their habitat associations. Densities of rusty-spotted cat and jungle cat were estimated as 6.67 (95% CI 4.07-10.74) and 4.01 (95% CI 2.65-6.12) individuals/100 km 2 respectively. Forest cover and evapotranspiration were positively associated with rusty-spotted cat occurrence whereas both factors had a significant negative relation with jungle cat occurrence. The results directed habitat segregation between these small cats with affinities of rusty-spotted cat and jungle cat towards well-forested and open scrubland areas respectively. Our estimates highlight the widespread applicability of this model for density estimation of species with no individual identification. Moreover, the study outcomes can aid in targeted management decisions and serve as the baseline for species conservation as these models allow robust population estimation of elusive species along with predicting their habitat preferences.

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Section: Study Sitesmentioning

confidence: 99%

“…The terrain of TATR is mostly undulating and hilly in the north and flat in the southern part [19]. The climate is characterized by a hot and long summer and a short and mild winter [19]. Annual average precipitation is around 1,200 mm, received mainly from south-western monsoons between June and September [20].…”

Section: Study Sitesmentioning

confidence: 99%

Population density and habitat use of two sympatric small cats in a central Indian reserve

2020

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“…In particular, information obtained from landscape metrics can be very valuable for the improvement of silvicultural prescriptions and baselines for forest management, as well as to highlight effects of implemented actions (Sano et al, 2009;Reddy et al, 2013;Costa et al, 2014;Paliwal and Mathur, 2014).…”

Section: T Simoniello Et Al: Land Cover Changes and Forest Landscapmentioning

confidence: 99%

Land cover changes and forest landscape evolution (1985–2009) in a typical Mediterranean agroforestry system (high Agri Valley)

Simoniello

Coluzzi

Imbrenda

et al. 2015

Nat. Hazards Earth Syst. Sci.

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Abstract. The present study focuses on the transformations of a typical Mediterranean agroforestry landscape of southern Italy (high Agri Valley -Basilicata region) that occurred over 24 years. In this period, the valuable agricultural and natural areas that compose such a landscape were subjected to intensive industry-related activities linked to the exploitation of the largest European onshore oil reservoir. Landsat imagery acquired in 1985 and 2009 were used to detect changes in forest areas and major land use trajectories. Landscape metrics indicators were adopted to characterize landscape structure and evolution of both the complex ecomosaic (14 land cover classes) and the forest/non-forest arrangement. Our results indicate a net increase of 11 % of forest areas between 1985 and 2009. The major changes concern increase of all forest covers at the expense of pastures and grasses, enlargement of riparian vegetation, and expansion of artificial areas. The observed expansion of forests was accompanied by a decrease of the fragmentation levels likely due to the reduction of small glades that break forest homogeneity and to the recolonization of herbaceous areas. Overall, we observe an evolution towards a more stable configuration depicting a satisfactory picture of vegetation health.

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“…In this context, the training areas are used in supervised technique [13]. The mapping of LULC can be delineated from fine and coarse resolutions [31].…”

Section: Introductionmentioning

confidence: 99%

A remote sensing and GIS-based analysis of urban sprawl in Soran District, Iraqi Kurdistan

Hamad

2019

SN Appl. Sci.

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Determination of spatial and temporal patterns of urban growth has become one of the most significant challenges in monitoring and assessing current and future trends of the urban growth issue. Soran district has witnessed very rapid growth in the last two decades, mostly because of its economic, commercial and social attractions. The aim of this work is to study the growth and sprawl dynamics through the land use and land cover (LULC) maps for the area at three different periods (1998, 2008, and 2018) particularly in the urban areas employing GIS and RS techniques. Three Landsat images, Enhanced Thematic Mapper plus in the 1998, Thematic Mapper in the 2008 and Landsat Operational Land (LOL) in the 2018 were used to assess the changes of urban encroachment. A supervised classification technique by maximum likelihood classifier has been employed to create a classified image and has been assessed based on Kappa index. The results obtained showed that the urbanized area increased from 4.51 to 14.93 km 2 from 1998 to 2018. This study demonstrated that the substantial changes in LULC in Soran district since the end of 1990s are directly related to and influenced by the main and secondary roads development on spatial expansion and land use change.

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Spatial pattern analysis for quantification of landscape structure of Tadoba-Andhari Tiger Reserve, Central India

Cited by 11 publications

References 22 publications

Population density and habitat use of two sympatric small cats in a central Indian reserve

Population density and habitat use of two sympatric small cats in a central Indian reserve

Land cover changes and forest landscape evolution (1985–2009) in a typical Mediterranean agroforestry system (high Agri Valley)

A remote sensing and GIS-based analysis of urban sprawl in Soran District, Iraqi Kurdistan

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