Land-use/land-cover change and fragmentation in the Nameri Tiger Reserve, India

Saikia, Anup; Hazarika, Rubul; Sahariah, Dhrubajyoti

doi:10.1080/00167223.2013.782991

Cited by 40 publications

(17 citation statements)

References 46 publications

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“…Forest fragmentation increased in KSL-Nepal between 1990 and 2009, and was predicted to increase further by 2030: with less core, edge, and perforated forest, and more patches. Similar results have been noted in different geographic zones in India (Reddy et al, 2013); and the Alpine grasslands of Abiseo National Park (Kintz et al, 2006) and elsewhere (Lele & Joshi, 2009;Saikia, Hazarika, & Sahariah, 2013). However, comparable data from the Himalayas is limited, and the studies that have been carried out have used different temporal and spatial scales (Nagendra, Paul, Pareeth, & Dutt, 2009).…”

Section: Forest Fragmentation and Predictionsupporting

confidence: 74%

The changing land cover and fragmenting forest on the Roof of the World: A case study in Nepal's Kailash Sacred Landscape

Uddin

Chaudhary

Chettri

et al. 2015

Landscape and Urban Planning

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h i g h l i g h t s• Temporal change in land cover and forest fragmentation were analyzed.• The results showed 9% decrease in forest cover and 12% increase in cropland.• A further 4% decline in forest cover and 5% increase in cropland were predicted. • 10% decrease in large core forest and 10.6% decline in core forest was predicted.• Expansions of cropland coupled with high dependency on forests are the drivers. a b s t r a c tLand cover change is one of the most important drivers of forest ecosystem change. The Hindu Kush Himalayan region (HKH) has experienced severe forest degradation but data and documentation are limited. We undertook this study in the Nepalese part of the Kailash Sacred Landscape (KSL), an important transboundary region known for its biodiversity and the scared values. Forest is an important ecosystem within the landscape and provides various goods and services including habitat for many keystone species. However, precise information on forest change and overall land cover change in the area is limited. We analyzed land cover change and forest fragmentation between 1990 and 2009, and the predicted change for 2030. There was a 9% decrease in forest cover and 12% increase in cropland between 1990 and 2009. A further 4% decline in forest cover and 5% increase in cropland was predicted by 2030, together with a slight increase in grassland and barren area. Fragmentation analysis showed a 10% decrease in large core forest between 1990 and 2009, accompanied by an increase in patch forest. A further 10.6% decline in core forest was predicted by 2030, accompanied by an increase in patch, perforated, small-sized core, and mediumsized core areas. The study suggests that expansions of cropland coupled with high dependency on forests are the major drivers of the observed forest change. Recommendations are made based on the results of the study that will help to maintain and restore forest, and support biodiversity conservation and livelihoods.

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Section: Forest Fragmentation and Predictionsupporting

confidence: 74%

The changing land cover and fragmenting forest on the Roof of the World: A case study in Nepal's Kailash Sacred Landscape

Uddin

Chaudhary

Chettri

et al. 2015

Landscape and Urban Planning

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“…Fragstat metrics offer a distinct capacity to determine a landscape's spatial configuration, hence valuable in understanding landscape change arising from fragmentation (Cushman 2006, Jorge and Garcia 1997, Saikia et al 2013, Millington et al 2003. All classified images were converted to ASCII format in ArcGIS 10.2.…”

Section: Modelling Habitat Fragmentationmentioning

confidence: 99%

Analysing fragmentation in vulnerable biodiversity hotspots in Tanzania from 1975 to 2012 using remote sensing and fragstats

Ojoyi¹,

Odindi²,

Mutanga³

et al. 2016

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Habitat fragmentation is a threat to conservation of biodiversity hotspots in the Morogoro region, Tanzania. However, on-going research on fragmentation has not kept pace with temporal lapses and how individual species respond to habitat transformation and heterogeneity. This study sought to model spatial and temporal fragmentation patterns. Cloud free multi-temporal Landsat imagery with similar spectral resolution were acquired in the same season in 1975, 1995 and 2012. The images were used to characterize the biophysical landscape characteristics and a range of metrics used to quantify the magnitude of fragmentation. Patches and classes in the landscape were assessed using Fragstats, a spatial statistics program useful in computing landscape metrics. Results show that patch number was higher in dense forest and woodland than in less dense forest and grassland in 1975, 1995 and 2012 while the interspersion Juxtaposition Index (IJI) ranged between 0 (for clumped patches) and 100 (for grassland). In 1975 and 1995, the grassland habitat had the highest IJI while in 2012 less dense forest had the highest IJI. The GamesHowell test showed a significant fragmentation trend in less dense forests class (p≤0.05). Generally, the study indicates a high fragmentation pattern in the vulnerable tropical eastern arc mountain region of East Africa. This finding demonstrates the value of remotely sensed data in understanding the impact of anthropogenic processes on natural landscape transformation. Furthermore, the study provides a basis for informed conservation policy design and implementation in the region. RESEARCH ARTICLE Launched to accelerate biodiversity conservationA peer-reviewed open-access journal M.M. Ojoyi et al. / Nature Conservation 16: 19-37 (2016) 20

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“…The selection of training sites was guided by reference data such as topographical maps and Google Earth images. Based on the spectral signatures collected, the spectral classification of the Landsat images were performed using the widely adopted maximum likelihood classifier (Mosammam et al ., ; Saikia et al ., ; Sharma et al ., ). Post‐classification errors such as misclassification were modified applying a recoding function corroborated by ground truth verification (Pawe & Saikia, ; Sharma et al ., ).…”

Section: Methodsmentioning

confidence: 99%

Decumbent development: Urban sprawl in the Guwahati Metropolitan Area, India

Pawe

Saikia

2020

Singap J Trop Geogr

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Urban sprawl has become a global phenomenon as an outcome of growing population and rapid urbanization. Previous studies have addressed the rising incidence of uncontrollable urban development, particularly in peri‐urban areas of cities, leading to chronic urban sprawl. The city of Guwahati, a million city in north east India, has expanded significantly in recent years. In this article, the links between population and growth of built‐up areas were examined using geo‐spatial techniques and remotely sensed datasets. The results indicate that the sprawl has accentuated in recent years. The intensity of land use remained uneven due to marked variations in the distribution of built‐up areas, plausibly an outcome of unplanned urban growth. If current trends are anything to go by, future urban sprawl could pose serious threats to the vulnerable eco‐sensitive and peri‐urban areas of Guwahati. Secondary cities have unfortunately received scant attention in urban policy research, and Guwahati, epitomizes urban woes in a developing country.

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Land-use/land-cover change and fragmentation in the Nameri Tiger Reserve, India

Cited by 40 publications

References 46 publications

The changing land cover and fragmenting forest on the Roof of the World: A case study in Nepal's Kailash Sacred Landscape

The changing land cover and fragmenting forest on the Roof of the World: A case study in Nepal's Kailash Sacred Landscape

Analysing fragmentation in vulnerable biodiversity hotspots in Tanzania from 1975 to 2012 using remote sensing and fragstats

Decumbent development: Urban sprawl in the Guwahati Metropolitan Area, India

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