Patterns and ecological implications of agricultural land-use changes: a case study from central Himalaya, India

Semwal, R. L.; Nautiyal, Sunil; Sen, Koushik; Rana, Usha; Maikhuri, R. K.; Rao, K. S.; Saxena, K. G.

doi:10.1016/s0167-8809(03)00228-7

Cited by 161 publications

(88 citation statements)

References 56 publications

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“…During this period, intensification of cultivated land and conversion of natural forests and grazing lands to agriculture, as well as a constant thinning of available forest, was recorded. Semwal et al (2004) reported an increase in agricultural land use by 30% during the period 1963-1993, at the cost of a loss of 5% of forest area in the Pranmati watershed (Uttar Pradesh, India).…”

Section: Land-cover-change Detection and Analysismentioning

confidence: 99%

Historical and future land-cover changes in the Upper Ganges basin of India

Tsarouchi

Mijic

Moulds

et al. 2014

International Journal of Remote Sensing

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The green revolution represents one of the greatest environmental changes in India over the last century. The Upper Ganges (UG) basin is experiencing rapid rates of change of land cover and irrigation practices. In this study, we investigated the historical rate of change and created future scenario projections by means of 30 m-resolution multitemporal Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus data of the UG basin. Post-classification change analysis methods were applied to Landsat images in order to detect and quantify land-cover changes in the UG basin. Subsequently, Markov chain analysis was applied to project future scenarios of land-cover change. Fifteen different scenarios were generated based on historic land-cover change. These scenarios diverged in terms of future projections, highlighting the dynamic nature of the changes. This study has shown that between the years 1984 and 2010 the main land-cover change trends are conversion from shrubs to forest (+4.7%), urbanization (+5.8%), agricultural expansion (+1.3%), and loss of barren land (-9.5%). The land-cover change patterns in the UG basin were mapped and quantified, showing the capability of Landsat data in providing accurate land-cover maps. These results, in combination with those derived from the Markov model, provide the necessary evidence base to support regional land-use planning and develop future-proof water resource management strategies.

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Section: Land-cover-change Detection and Analysismentioning

confidence: 99%

Historical and future land-cover changes in the Upper Ganges basin of India

Tsarouchi

Mijic

Moulds

et al. 2014

International Journal of Remote Sensing

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“…In many cases, the size of old secondary growth areas is too small to be detected by Landsat and IRS. In addition, the mountain topography leads to a significant shadowing effect, which becomes a particular problem in the digital image processing [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Improving Landsat and IRS Image Classification: Evaluation of Unsupervised and Supervised Classification through Band Ratios and DEM in a Mountainous Landscape in Nepal

Bahadur

2009

Remote Sensing

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Modification of the original bands and integration of ancillary data in digital image classification has been shown to improve land use land cover classification accuracy. There are not many studies demonstrating such techniques in the context of the mountains of Nepal. The objective of this study was to explore and evaluate the use of modified band and ancillary data in Landsat and IRS image classification, and to produce a land use land cover map of the Galaudu watershed of Nepal. Classification of land uses were explored using supervised and unsupervised classification for 12 feature sets containing the Landsat MSS, TM and IRS original bands, ratios, normalized difference vegetation index, principal components and a digital elevation model. Overall, the supervised classification method produced higher accuracy than the unsupervised approach. The result from the combination of bands ration 4/3, 5/4 and 5/7 ranked the highest in terms of accuracy (82.86%), while the combination of bands 2, 3 and 4 ranked the lowest (45.29%). Inclusion of DEM as a component band shows promising results.

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“…Close to 40% of the land lies within some form of protected area (Table 3). Though there are variations in scale, change in land use and cover is prominent in many parts of the region (Cue and Graf, 2009;Gautam et al, 2004;Wakeel et al, 2005;Wang et al, 2008) with natural habitats shrinking through forest fragmentation (Pandit et al, 2007;Reddy et al, 2013;Uddin et al, 2015), regime shift (Brandt et al, 2013;Joshi et al, 2012), or changes in agriculture land (Semwal et al, 2004) and others. However, habitat degradation is not homogenous across the HKH.…”

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confidence: 99%

Reconciling Mountain Biodiversity Conservation and Human Wellbeing: Drivers of Biodiversity Loss and New Approaches in the Hindu-Kush Himalayas

Chettri¹,

Sharma²

2016

Proceedings of the Indian National Science Academy

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Mountains have long been admired and protected on the grounds of their wilderness,character and landscape beauty. But despite their remoteness and low human population density, many mountain ecosystems are strongly affected by drivers of global change. Mountain ecosystems in the tropical and sub-tropical regions have attracted the attention of a number of scientists, policy makers and natural resource managers because of their critical role in the supply of ecosystem services, and their vulnerability to environmental changes induced by anthropogenic and climatic factors. Adapting to and mitigating the effects of environmental change and sustaining ecosystem services in the context of a burgeoning human population is a major challenge.The Convention on Biological Diversity, Millennium Development Goals, and other international agreements explicitly connect conservation to poverty alleviation. It has become clear that nature conservation only works in practice if people's needs are also taken into account; while conservation efforts based on community participation and ownership tend to be more effective. A concerted effort is needed to develop a better scientific understanding of ecosystem structure and functioning and drivers of change as a basis for formulating comprehensive ecosystem management approaches and strategies that link to human wellbeing and poverty alleviation. This paper reviews the state of knowledge on five principle pressures, driving biodiversity loss in the HKH region, and describes evolving processes that highlight reconciliation of the conservation and development perspectives.

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Patterns and ecological implications of agricultural land-use changes: a case study from central Himalaya, India

Cited by 161 publications

References 56 publications

Historical and future land-cover changes in the Upper Ganges basin of India

Historical and future land-cover changes in the Upper Ganges basin of India

Improving Landsat and IRS Image Classification: Evaluation of Unsupervised and Supervised Classification through Band Ratios and DEM in a Mountainous Landscape in Nepal

Reconciling Mountain Biodiversity Conservation and Human Wellbeing: Drivers of Biodiversity Loss and New Approaches in the Hindu-Kush Himalayas

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