Growth response of Abies spectabilis to climate along an elevation gradient of the Manang valley in the central Himalayas

Rai, Samresh; Dawadi, Binod; Wang, Yafeng; Lu, Xiaoming; Huang, Ru; Sigdel, Shalik Ram

doi:10.1007/s11676-019-01011-x

Cited by 26 publications

(12 citation statements)

References 54 publications

(77 reference statements)

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“…Our results revealed that the radial growth of A. georgei was more affected by the moisture condition at a lower distributional range while by temperature at higher altitudinal sites in HSM, which supported one of our hypotheses that the strength of temperature impacts enhanced as altitude increased, but rejected another hypothesis that low temperature was the main factor controlling tree growth across the altitudinal distributional range. Consistent to our findings, the importance of moisture (temperature) decreased (increased) with increases in altitudes has been reported in nearby central Himalaya [39,40].…”

Section: Discussionsupporting

confidence: 92%

Climate-Growth Relations of Abies georgei along an Altitudinal Gradient in Haba Snow Mountain, Southwestern China

Mei¹,

Li²,

Cao³

et al. 2021

Forests

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Climate warming has been detected and tree growth is sensitive to climate change in Northwestern Yunnan Plateau. Abies georgei is the main component of subalpine forest in the area. In this study, A. georgei ring width chronologies were constructed at four sites ranging from 3300 to 4150 m a.s.l. in Haba Snow Mountain, Southeastern edge of Tibetan Plateau. We analyzed the relationship between four constructed chronologies and climatic variables (monthly minimum temperature, monthly mean temperature, monthly maximum temperature, monthly total precipitation, the Standardized Precipitation-Evapotranspiration Index, and monthly relative humidity) by using response function analysis, moving interval analysis, and redundancy analysis. Overall, the growth of A. georgei was positively affected by common climatic factors (winter moisture conditions, autumn temperature, and previous autumn precipitation). At low and middle-low sites, May moisture condition and previous December precipitation controlled its radial growth with positive correlations. At middle-high and high sites, previous November temperature was the key factor affecting tree growth. The result of moving interval analysis was consistent with correlation analyses, particularly for May moisture at low altitudes.

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Section: Discussionsupporting

confidence: 92%

Climate-Growth Relations of Abies georgei along an Altitudinal Gradient in Haba Snow Mountain, Southwestern China

Mei¹,

Li²,

Cao³

et al. 2021

Forests

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“…Moreover, we assessed seasonal and daytime differences in livestock depredation by snow leopards. Taking into account regional climatic conditions, we differentiated among depredation events in spring (March-May), summer (June-August), autumn (September-November), and winter (December-February; Department of Hydrology and Meteorology 2017; Rai et al 2020). We also differentiated between depredation events during daytime and night-time, when the time of the attack was known and did not fall into transition times (e.g.…”

Section: Discussionmentioning

confidence: 99%

Patterns of livestock depredation by snow leopards and effects of intervention strategies: lessons from the Nepalese Himalaya

Filla

Lama²,

Filla

et al. 2022

Wildlife Res.

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Context Large carnivores are increasingly threatened by anthropogenic activities, and their protection is among the main goals of biodiversity conservation. The snow leopard (Panthera uncia) inhabits high-mountain landscapes where livestock depredation drives it into conflicts with local people and poses an obstacle for its conservation. Aims The aim of this study was to identify the livestock groups most vulnerable to depredation, target them in implementation of practical interventions, and assess the effectiveness of intervention strategies for conflict mitigation. We present a novel attempt to evaluate intervention strategies for particularly vulnerable species, age groups, time, and seasons. Methods In 2020, we conducted questionnaire surveys in two regions of the Annapurna Conservation Area, Nepal (Manang, n = 146 respondents and Upper Mustang, n = 183). We applied sample comparison testing, Jacobs’ selectivity index, and generalised linear models (GLMs) to assess rates and spatio-temporal heterogeneity of depredation, reveal vulnerable livestock groups, analyse potential effects of applied intervention strategies, and identify husbandry factors relevant to depredation. Key results Snow leopard predation was a major cause of livestock mortality in both regions (25.4–39.8%), resulting in an estimated annual loss of 3.2–3.6% of all livestock. The main intervention strategies (e.g. corrals during night-time and herding during daytime) were applied inconsistently and not associated with decreases in reported livestock losses. In contrast, we found some evidence that dogs, deterrents (light, music playing, flapping tape, and dung burning), and the use of multiple interventions were associated with a reduction in reported night-time depredation of yaks. Conclusions and implications We suggest conducting controlled randomised experiments for quantitative assessment of the effectiveness of dogs, deterrents, and the use of multiple interventions, and widely applying the most effective ones in local communities. This would benefit the long-term co-existence of snow leopards and humans in the Annapurna region and beyond.

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“…Due to a lack of local climate data along the elevational gradient, we used the 30-arcsec gridded climatic database of Climatologies at High Resolution for the Earth's Land Surface Areas (CHELSA) from 1979 to 2013 (Karger et al, 2017). The reliability of the climatic data from CHELSA in the central Himalayas has been demonstrated by a recent study (Rai et al, 2020).…”

Section: Study Area and Climatementioning

confidence: 99%

Species richness is a strong driver of forest biomass along broad bioclimatic gradients in the Himalayas

et al. 2022

Self Cite

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Forest biomass is an important component of terrestrial carbon pools.However, how climate, biodiversity, and structural attributes co-determine spatiotemporal variation in forest biomass remains not well known. We aimed to shed light on these drivers of forest biomass by measuring diversity and structural attributes of tree species in 400-m 2 plots located every 100 m along a 4200-m elevational gradient in the eastern Himalayas. We applied structural equation models to test how climate, species richness, structural attributes, and their interactions influence forest biomass. Importantly, species richness was a stronger driver of biomass than environmental and structural attributes such as annual air temperature or stem density. Integrating the availability of energy and the demand for water, potential evapotranspiration was more strongly correlated with biomass than water availability, likely due to the strong influence of the Indian summer monsoon. Thus, interactions between climate and tree community composition ultimately control how much carbon is stored in woody biomass across bioclimatic gradients. This fundamental understanding will support predictive efforts of the forest carbon sink in this

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Growth response of Abies spectabilis to climate along an elevation gradient of the Manang valley in the central Himalayas

Cited by 26 publications

References 54 publications

Climate-Growth Relations of Abies georgei along an Altitudinal Gradient in Haba Snow Mountain, Southwestern China

Climate-Growth Relations of Abies georgei along an Altitudinal Gradient in Haba Snow Mountain, Southwestern China

Patterns of livestock depredation by snow leopards and effects of intervention strategies: lessons from the Nepalese Himalaya

Species richness is a strong driver of forest biomass along broad bioclimatic gradients in the Himalayas

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