Soil nutrients concentration along altitudinal gradients in Indian Western Himalaya

Kewlani, Pushpa; Negi, Vikram S.; Bhatt, Indra D.; Rawal, Ranbeer S.; Nandi, Shyamal K.

doi:10.1080/02827581.2020.1871065

Cited by 21 publications

(9 citation statements)

References 31 publications

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“…Moreover, the temperature can regulate the activity of soil microorganisms, thus accelerating the decomposition of soil organic matter (Liu et al., 2002; Tjoelker, 2018). The altitude could be a deciding factor that leads to a climate difference at a specific study site (Kewlani et al., 2021). The altitude ranged from 9 m in a coastal area (Gao, 2016) to 3,980 m in Sygara Mountain in Tibet (Zhou et al., 2015) in this study.…”

Section: Discussionmentioning

confidence: 99%

Forest Soil Carbon Efflux Evaluation Across China: A New Estimate With Machine Learning

Sun,

Bond‐Lamberty,

et al. 2023

Global Biogeochemical Cycles

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Forest soil respiration (Rs) plays an important role in the carbon balance of terrestrial ecosystems. China’s forest occupies a large part of the world’s forest. However, due to the lack of integrated observation data and appropriate upscaling methodologies, substantial uncertainties exist in the Rs evaluation, which limits our understanding of the carbon balance. Here, we re‐evaluated the total soil carbon effluxes across China by combining field observations from 634 published annual Rs with a machine learning technique (i.e. random forest, RF). Our results revealed that the combination of systematic measurements with the RF model allowed a definite estimate. The average annual Rs was 776.9 g C m−2 yr−1, ranging from 411.5 to 1770.7 g C m−2 yr−1. Total forest soil carbon effluxes amounted to 1.17 Pg C yr−1 in China. Geographically, annual Rs showed a clear spatially increasing trend from northeast to southwest. The forest type is an important factor in determining soil respiration rate. Bamboo and Evergreen broadleaf forests were higher than other types of forests. These results provide a unique insight into the magnitudes and mechanisms of soil CO2 emissions in China’s forest ecosystems.

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Section: Discussionmentioning

confidence: 99%

Forest Soil Carbon Efflux Evaluation Across China: A New Estimate With Machine Learning

Sun,

Bond‐Lamberty,

et al. 2023

Global Biogeochemical Cycles

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“…Meager species richness and diversity at higher elevations may be due to the harsh environmental conditions (extreme cold and glaciated soils in the present study) restricting plant growth, and subsequently, loss of diversity [ 92 , 93 ]. Thus, at higher altitudes, the plant species were exposed to various eco-physiological restraints such as high snowfall, short growing season, low temperature, low ecosystem productivity and loss of habitat diversity, which in turn reduced the species richness and diversity [ 94 , 95 ]. In contrast, the greater species richness and diversity at lower and mid-elevations was largely correlated with moisture availability, optimum temperature and favorable environmental conditions [ 96 ].…”

Section: Discussionmentioning

confidence: 99%

Pattern of β-Diversity and Plant Species Richness along Vertical Gradient in Northwest Himalaya, India

Wani

Khan

Bhat

et al. 2022

Biology

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The structure and distribution patterns of Himalayan vegetation are poorly explored, and research on species composition along the elevation gradient in these mountain ranges is still deficient. The current study was undertaken to analyze the variation and pattern of plant species composition along a vertical gradient in northwestern Himalaya, India. A total of 18 sites were selected along an elevation gradient ranging from 2200 to 3900 m asl positioned at an interval of 100 m. The Renyi diversity profile, non-metric multidimensional scaling based on the Bray–Curtis dissimilarity metric and beta diversity components among the elevation belts were calculated. Furthermore, to study the influence of altitude on species richness and diversity, a generalized additive model was created. Two hundred and ten plant species representing 66 families and 147 genera were recorded. The Renyi diversity profiles show that the lower and mid-altitudes had rich species diversity. The results of the non-metric multidimensional scaling analysis show a considerable variation in the total plant species composition among the studied elevation belts. The observed multiple-site Sorensen dissimilarity index across the studied elevation belts was very high. The contribution of species replacement or the turnover component to the observed dissimilarity was much higher than the nestedness component. Furthermore, the herbaceous and tree richness showed a significant decrease with increase in elevation; however, the richness of shrubs showed a bimodal pattern. The present study increases our understanding of the trends and patterns of species richness along the vertical gradient in the Himalayan region.

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“…The bD and SOC did not vary significantly between depths (Table 10). The decomposition of organic matter takes place in the uppermost layers of the soil resulting in low nutrient content in sub-surface soil layers (Kewlani et al, 2021). The different physical properties of soil assist to check the soil erosion and fertility (Sharma and Bhatia,142 A. Fartyal et al: Altitudinal variation soil nutrients revealed that most of the parameters were significantly correlated with the altitude (Appendix Table 1).…”

Section: Physico-chemical Properties Of Soilmentioning

confidence: 99%

Altitudinal variation in plant community, population structure and carbon stock of Quercus semecarpifolia Sm. forest in Kumaun Himalaya

Fartyal¹,

Khatri²,

Bargali³

et al. 2022

JEB

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Aim: To study the impact of altitudinal variation on plant community composition, structure, dispersion and regeneration status of Quercus semecarpifolia forest in Kumaun Himalaya. Methodology: Along the altitudinal gradient, the forest stands between 2400 and 2610 m asl were selected at low, mid and high altitude. The phyto-sociological analysis was carried by laying ten quadrats of 10m × 10m at each site. Soil samples were collected with the help of soil corer from two depths. Various ecological indices and population structure were investigated for each forest stand and regeneration status of forest was predicted by the population size of seedlings, saplings and trees. Tree biomass was estimated using allomatric equations and carbon stock was determined by multiplying biomass of species to factor 0.475. Results: With increasing altitude the number of tree species decreased and the shrub species richness increased, while herb species showed a unimodel pattern. Q. semecarpifolia was the dominant tree species at all the three sites with the IVI values of 220.14, 255.22 and 286.23 at LA, MA and HA, respectively. A complete absence of Q. semecarpifolia seedlings indicated no regeneration in low and high altitude stands while low proportion of seedlings in mid altitude forest stand indicated poor regeneration. Soil was acidic (pH 5.66-5.86), with higher silt content and showed decreasing pattern in physico-chemical properties with increasing altitude. The biomass of tree layer ranged from 871.49 to 1050.17 t ha-1. The tree layer carbon stock was maximum in high altitude forest (498.84 t ha-1) which was largely contributed by bole, stump roots and branches. Interpretation: Variation in species richness, distribution pattern and regeneration potential is related to site characteristics governed by altitude and require various efforts to conserve and protect these forests to check ecosystem imbalance.

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Soil nutrients concentration along altitudinal gradients in Indian Western Himalaya

Cited by 21 publications

References 31 publications

Forest Soil Carbon Efflux Evaluation Across China: A New Estimate With Machine Learning

Forest Soil Carbon Efflux Evaluation Across China: A New Estimate With Machine Learning

Pattern of β-Diversity and Plant Species Richness along Vertical Gradient in Northwest Himalaya, India

Altitudinal variation in plant community, population structure and carbon stock of Quercus semecarpifolia Sm. forest in Kumaun Himalaya

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