Quantifying Four Decades of Changes in Land Use and Land Cover in India’s Kailash Sacred Landscape: Suggested Option for Priority Based Patch Level Future Forest Conservation

Singh, Gajendra; Sarkar, Mriganka Shekhar; Pandey, Arvind Chandra; Lingwal, Shashank; D., I.; Adhikari, Bhupendra Singh; Rawat, G. S.; Rawal, Ranbeer S.

doi:10.1007/s12524-018-0817-8

Cited by 8 publications

(9 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These decreasing vegetated areas, especially the forest cover loss, may pose a threat to biodiversity conservation and livelihood [92,93]. Meanwhile, grassland and cropland areas significantly increased during the research period, which is consistent with the findings of Uddin et al's [23] and Singh et al [39]. Cropland increased from 1910.59 km 2 to 2257.50 km 2 , with a change rate of 1.21% per year.…”

Section: Lulc Changes Across the Kslsupporting

confidence: 77%

“…Duan et al [38] assessed LULC changes in the Kailash Sacred Landscape of China from 1990-2008 and quantified driving forces. Singh et al [39] studied the LULC changes in the Kailash Sacred Landscape of China from 1976-2011 and also pointed out forest fragmentation in the Indian part. All of these studies assessed the LULC changes in three countries using different data sources, study periods, classification systems, and methods.…”

Section: Of 21mentioning

confidence: 99%

“…There are two sacred lakes near Mount Kailash, Lake Manasarovar and Lake Rakshastal. The region covers an area of over 31,000 km 2 , including parts of far-western Nepal, northern India, and Purang County, Tibet Autonomous Region of China [23,38,39]. The elevation drop from the highest mountain, Naimona'nyi, to the southern parts is over 7000 m. This loss in elevation causes abundant vegetation types, ranging from tropical broadleaved forest to alpine steppe.…”

Section: Study Areamentioning

confidence: 99%

“…Uddin et al [23] divided the land cover in the KSL-Nepal into seven types: forest, shrub land, grassland, cropland, barren area, water bodies, and snow/glacier. Singh et al [39] classified the land cover system for KSL-India into seven types: forest, settlement, water, agriculture, grassland, scrubland, and snow. The landscape in KSL-China differs from that in KSL-Nepal and KSL-India, thus resulting in different land cover systems.…”

Section: Classification System and Training Data Collectionmentioning

confidence: 99%

See 3 more Smart Citations

Qualifying Land Use and Land Cover Dynamics and Their Impacts on Ecosystem Service in Central Himalaya Transboundary Landscape Based on Google Earth Engine

Zhang

Liu

et al. 2021

Land

View full text Add to dashboard Cite

Land use and land cover (LULC) changes are regarded as one of the key drivers of ecosystem services degradation, especially in mountain regions where they may provide various ecosystem services to local livelihoods and surrounding areas. Additionally, ecosystems and habitats extend across political boundaries, causing more difficulties for ecosystem conservation. LULC in the Kailash Sacred Landscape (KSL) has undergone obvious changes over the past four decades; however, the spatiotemporal changes of the LULC across the whole of the KSL are still unclear, as well as the effects of LULC changes on ecosystem service values (ESVs). Thus, in this study we analyzed LULC changes across the whole of the KSL between 2000 and 2015 using Google Earth Engine (GEE) and quantified their impacts on ESVs. The greatest loss in LULC was found in forest cover, which decreased from 5443.20 km2 in 2000 to 5003.37 km2 in 2015 and which mainly occurred in KSL-Nepal. Meanwhile, the largest growth was observed in grassland (increased by 548.46 km2), followed by cropland (increased by 346.90 km2), both of which mainly occurred in KSL-Nepal. Further analysis showed that the expansions of cropland were the major drivers of the forest cover change in the KSL. Furthermore, the conversion of cropland to shrub land indicated that farmland abandonment existed in the KSL during the study period. The observed forest degradation directly influenced the ESV changes in the KSL. The total ESVs in the KSL decreased from 36.53 × 108 USD y−1 in 2000 to 35.35 × 108 USD y−1 in 2015. Meanwhile, the ESVs of the forestry areas decreased by 1.34 × 108 USD y−1. This shows that the decrease of ESVs in forestry was the primary cause to the loss of total ESVs and also of the high elasticity. Our findings show that even small changes to the LULC, especially in forestry areas, are noteworthy as they could induce a strong ESV response.

show abstract

Section: Lulc Changes Across the Kslsupporting

confidence: 77%

Section: Of 21mentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Classification System and Training Data Collectionmentioning

confidence: 99%

See 2 more Smart Citations

Qualifying Land Use and Land Cover Dynamics and Their Impacts on Ecosystem Service in Central Himalaya Transboundary Landscape Based on Google Earth Engine

Zhang

Liu

et al. 2021

Land

View full text Add to dashboard Cite

show abstract

“…The study area is spread over 7,120 km 2 area (Figure 1). KSL -India has the predominance of diverse natural ecosystems from grasslands to moist subtropical broadleaved to temperate oak forests, sub-alpine conifers, high altitude birch forests, while extensive alpine pastures occur in areas >3000 to 4000 m a.s.l beside agro-ecosystems in lower reaches (22)(23). The diverse habitats cater to numerous indigenous flora and fauna.…”

Section: Study Areamentioning

confidence: 99%

Ageratina adenophoraandLantana camarain Kailash Sacred Landscape, India: Current distribution and future climatic scenarios through modeling

Chaudhary

Sarkar

Adhikari

et al. 2020

Preprint

View full text Add to dashboard Cite

The western Himalayan region is one of the unique biodiversity hotspots is rapidly getting invaded by alien invasive species and become a major management concern to save many economically and culturally important indigenous endemic species of this region. The present study aims to investigate the probable current and future apposite invaded habitat of Eupatorium ( Ageratina adenophora ) and Lantana ( Lantana camara ) in the Kailash Sacred Landscape-India in response to representative concentration pathways (RCP) 8.5 of global climate change. Intensive field surveys were conducted to collect the presence locations of Eupatorium ( n = 400 ) and Lantana ( n = 250 ) along the altitudinal gradient of 300 to 2500 masl that covers diverse vegetation and landscape features. We performed Principle Component Analysis to nullify the multi-colinearity effect of the environmental predictors followed by M axEnt species distribution model in the current and future climatic scenario of both the species. All current and future model precision for both these species was higher than 0.81 with the area under the curve (AUC). If the climate change continues to follow the higher emission RCP8.5 pathway, Eupatorium will spread 45.3% more of its current distribution area and will spread up to 3024 masl. Whereas, Lantana will spread 29.8% more of its current distribution area and will reach up to 3018 masl. The further distribution of this alien species may cause a serious threat to the local biodiversity results into a change in ecosystem processes and reduced ecosystem services in the area. Therefore, our current and the projected future map of their distribution will be helpful for local managers to take necessary action to overcome the adverse effect of this plant invasion in future.

show abstract

Changing Paradigm in Transboundary Landscape Management: A Retrospect from the Hindu Kush Himalaya

Chettri¹,

Joshi²,

Shakya³

et al. 2021

Mountain Landscapes in Transition

View full text Add to dashboard Cite

Quantifying Four Decades of Changes in Land Use and Land Cover in India’s Kailash Sacred Landscape: Suggested Option for Priority Based Patch Level Future Forest Conservation

Cited by 8 publications

References 33 publications

Qualifying Land Use and Land Cover Dynamics and Their Impacts on Ecosystem Service in Central Himalaya Transboundary Landscape Based on Google Earth Engine

Qualifying Land Use and Land Cover Dynamics and Their Impacts on Ecosystem Service in Central Himalaya Transboundary Landscape Based on Google Earth Engine

Ageratina adenophoraandLantana camarain Kailash Sacred Landscape, India: Current distribution and future climatic scenarios through modeling

Changing Paradigm in Transboundary Landscape Management: A Retrospect from the Hindu Kush Himalaya

Contact Info

Product

Resources

About