Is the recessional pattern of Himalayan glaciers suggestive of anthropogenically induced global warming?

Bali, Rameshwar; Agarwal, K. K.; Ali, Sheikh Nawaz; Srivastava, Priyanka

doi:10.1007/s12517-010-0155-9

Cited by 16 publications

(2 citation statements)

References 34 publications

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“…The Gangotri glaciers of Uttarakhand showed a retreating trend of 26.5 m/year, 17.1 m/year and 12.5 m/year during 193526.5 m/year, 17.1 m/year and 12.5 m/year during -197126.5 m/year, 17.1 m/year and 12.5 m/year during , 197126.5 m/year, 17.1 m/year and 12.5 m/year during -200426.5 m/year, 17.1 m/year and 12.5 m/year during and 200426.5 m/year, 17.1 m/year and 12.5 m/year during -200526.5 m/year, 17.1 m/year and 12.5 m/year during , respectively (Kumar et al 2008Bali et al 2009). They also reported a similar retreating trend in Pindari and Dokriani glaciers of Uttarakhand.…”

Section: Observed Climate Change In Northwest Himalayasmentioning

confidence: 99%

Climate Change Modelling, Planning and Policy for Agriculture

Singh¹,

Dagar²,

Arunachalam³

et al. 2015

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Section: Observed Climate Change In Northwest Himalayasmentioning

confidence: 99%

Climate Change Modelling, Planning and Policy for Agriculture

Singh¹,

Dagar²,

Arunachalam³

et al. 2015

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“…This biodiversity rich region supports livelihood of millions of people for thousands of years through various economic goods and ecosystem services (Joshi and Negi 2011;Chettri et al 2018a, b). However, this ecologically sensitive region confronted with twin threats from climate change and growing anthropogenic presuures, together with unforeseen socioeconomic regional developments (Chettri et al 2018a, b) and unplanned developmental works deteriorating ecosystem health merits urgent attention (Bali et al 2011). The distributional range of our target species (T. govanianum) is restricted to the areas which are part of Himalayan biodiversity hotspot (Vidyarthi et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Predicting distribution and range dynamics of Trillium govanianum under climate change and growing human footprint for targeted conservation

Sofi

Verma

Charles³

et al. 2021

Plant Ecol

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Climate change, land-use changes and other anthropogenic pressures are globally the major drivers of biodiversity decline with profound implications, especially for the fragile Himalayan ecosystems. These drivers, if factored into the biodiversity conservation models, significantly improve their reliability and help a great deal prioritise habitats for better management. Here we focussed on an important medicinal plant species (Trillium govanianum), endemic to Himalayan region that is beset with the twin challenge of climate change and growing human footprint. We predicted the current and future projection of the distribution range of this species using SDM tool 'MaxEnt' supplemented with 'Zonation' software and 'human pressure index'. Decrease in the potential geographic range of T. govanianum, with a narrow room for conservation due to anthropogenic pressures in the predicted suitable habitats, was clearly revealed from our results. We identified the precise zones within the predicted suitable habitats under the future climatic scenarios (2050 and 2070) for priority conservation to endure the impact of climate change and growing human pressures. These results hold considerable promise in designing the effective conservation strategies for the target species. In the context of post 2020 biodiversity outlook, we advocate augmenting the species distribution models with human footprint index, zonation analysis and the climate change scenarios, to realistically meet the desired conservation targets.

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Radiation and energy balance dynamics over a rapidly receding glacier in the central Himalaya

Singh

Singhal

Chhikara

et al. 2019

Intl Journal of Climatology

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Driven by the strength in local land–atmosphere coupling, inter‐annual variability of larger‐scale atmospheric circulations primarily determines a glacier's response to warming in high Asia. In this study, micrometeorological measurements in conjunction with regional reanalysis data set were analysed to examine seasonal land–atmosphere coupling strength at a typical central Himalayan (CH) glacier where the influence of Indian summer monsoon (ISM) predominates relative to winter‐westerlies. Energy–water (E–W) exchange and coupling behaviour were studied for the Pindari glacier based on sub‐hourly measurements of radiative–convective flux, state parameters, and sub‐surface thermal profiles using cross‐correlations between various E–W balance components. Coupling was positive in summer and winter accumulation seasons. However, it remained strongest during ISM. Coupling reversed during seasonal transition phases concurrent with distinct seasonality in E–W components. Lead–lag relation between some variables showed strong association at diurnal‐scale (VPD–Rn; VPD–LE; Rn–G), whereas some persisted beyond months (Rn–LE; Bowen ratio–precipitation; surface–air temperature). Weak association of variation of latent heat flux (LE) and rainfall was found during ISM at local scale than at regional scale, but with a lag, which was more prominent at regional scale. These observations indicate a seasonally variable coupling between E–W balance components through response–feedback mechanisms. Cross‐correlations of daily mean values of energy fluxes and meteorological variables reveal that Rn and air temperature are the prime drivers of energy balance. Net radiative energy (Rn) dominates energy exchanges at the glacier–atmosphere interface (governed primarily by the variation in net shortwave radiation), contributed on average 62% of the melt energy. However, sub‐surface heat flux along with the turbulent fluxes was the energy sinks of 24 and 15%, respectively. This study would help understand and parameterize E–W exchange pathways for ISM dominated CH glaciers in coupled glacier–climate models.

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Is the recessional pattern of Himalayan glaciers suggestive of anthropogenically induced global warming?

Cited by 16 publications

References 34 publications

Climate Change Modelling, Planning and Policy for Agriculture

Climate Change Modelling, Planning and Policy for Agriculture

Predicting distribution and range dynamics of Trillium govanianum under climate change and growing human footprint for targeted conservation

Radiation and energy balance dynamics over a rapidly receding glacier in the central Himalaya

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