Impact of anthropogenic disturbance on species diversity and vegetation structure of a lowland tropical rainforest of eastern Himalaya, India

Gogoi, Anudip

doi:10.1007/s11629-017-4713-4

Cited by 33 publications

(21 citation statements)

References 38 publications

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“…Shannon diversity in different forests ranged from 1.21 to 2.66 in tropical, 0.28-2.65 in subtropical, and 1.93-2.56 in temperate forests. These values are well within the range reported by Nayak and Sahoo (2020), who found 1.59-2.56 in ten different tropical forest stands of the state of Odisha in India, while in Northeast India, the lowland rainforests showed tree diversity from 2.44 to 3.46 (Gogoi et al, 2018). In dry deciduous forests of central India, tree diversity values reported were 0.77-2.53 (Dar et al, 2019).…”

Section: Discussion Tree Diversity In Different Land Usessupporting

confidence: 90%

“…Higher tree species richness indicates a more stable ecosystem and may demonstrate a better ecosystem/carbon service (Ives et al, 2001). Earlier reports from a similar geographical area suggest management practices and other human-induced disturbances such as small-scale mining, forest encroachment for agricultural expansion, fuelwood, and different non-timber forest product extraction influence tree richness and densities (Gogoi et al, 2018). Additionally, varying community structure, composition, topography, elevation, soil properties, and other microclimatic conditions also influence the tree-based ecosystems' structural and functional attributes (Nath et al, 2018;Kurmi et al, 2020).…”

Section: Discussion Tree Diversity In Different Land Usesmentioning

confidence: 93%

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Quantifying Tree Diversity, Carbon Stocks, and Sequestration Potential for Diverse Land Uses in Northeast India

Sahoo

Tripathi

Nath

et al. 2021

Front. Environ. Sci.

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In the modern era, rapid anthropogenic activities in the vicinity of the Himalayas disturb the carbon sequestration potential resulting in climate change. For the first time, this study estimates the biomass and carbon storage potential of Northeast India’s diverse land uses through a biomass estimation model developed for this region. The mean tree density in tropical, subtropical, and temperate forests was 539, 554, and 638 trees ha−1, respectively. The mean vegetation carbon stock was the highest for temperate forests (122.09 Mg C ha−1), followed by subtropical plantations (115.45 Mg C ha−1), subtropical forests (106.01 Mg C ha−1), tropical forests (105.33 Mg C ha−1), tropical plantations (93.00 Mg C ha−1), and temperate plantations (50.10 Mg C ha−1). Among the forests, the mean soil organic carbon (SOC) stock up to 45 cm depth was the highest for tropical forests (72.54 Mg C ha−1), followed by temperate forests (63.4 Mg C ha−1) and subtropical forests (42.58 Mg C ha−1). A strong relationship between the tree basal area and biomass carbon storage was found for all land-use types. The land-use transformation from agriculture to agroforestry, and grassland to plantations increased both vegetation carbon (VC) and SOC stocks. The corresponding increase in VC and SOC was 40.80 and 43.34 Mg C ha−1, respectively, in the former, and 83.18 and 97.64 Mg C ha−1 in the latter. In general, the landscape-level estimates were drawn from site-level estimates in a given land-use type, and therefore, the corresponding values might be overestimated. Nevertheless, the results provide baseline information on carbon stock which may serve as a reference for devising appropriate land-use change policies in the region.

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Section: Discussion Tree Diversity In Different Land Usessupporting

confidence: 90%

Section: Discussion Tree Diversity In Different Land Usesmentioning

confidence: 93%

Quantifying Tree Diversity, Carbon Stocks, and Sequestration Potential for Diverse Land Uses in Northeast India

Sahoo

Tripathi

Nath

et al. 2021

Front. Environ. Sci.

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“…Broadly, we assumed the widely reported climatic variables, namely, precipitation, temperature, and their interaction, as the prime factor for varied richness along the altitudinal gradient of the Himalayan system [46,55,56]. Another crucial factor could be anthropogenic disturbance and its intensity [27,38]. Future research could explore these variables to explain the difference in richness recorded in our study.…”

Section: Tree Species Richness and Diversitymentioning

confidence: 84%

“…Studies in the Eastern Himalayan forests outside of India were mainly carried out in Nepal [25,26], Bhutan [27][28][29], and China [30,31] to assess forest structure and composition. Within the Indian part of the Eastern Himalayas, studies were carried out in Arunachal Pradesh [32][33][34], Meghalaya [8,35,36], Darjeeling, West Bengal [37], and Assam [38,39]. The majority of these studies presented the structure and composition of different forests along altitudinal gradients with varying intensities of anthropogenic disturbance.…”

Section: Past Studies In the Eastern Himalayasmentioning

confidence: 99%

Assessing Forest Structure and Composition along the Altitudinal Gradient in the State of Sikkim, Eastern Himalayas, India

Bhutia

Ravikanth

Ganesan

et al. 2019

Forests

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Understanding the structure and composition of native forests is a prerequisite in developing an adaptive forest management plan for Himalayan forest ecosystems where climate change is rapid. However, basic information on forest structure and composition are still limited in many places of the Eastern Himalayas. In this study, we aimed to understand the diversity, structure, and composition of forests and their variations along an altitudinal gradient in Himalayan forests. The study was conducted in the Indian federal state of Sikkim, Eastern Himalayas. We carried out a comprehensive and comparative evaluation of species diversity, stand basal area, and stem density along the altitudinal gradient from 900 m a.s.l. to 3200 m a.s.l. We used stratified random sampling to survey eighty-three plots each 0.1 ha in forest communities that occurred along the altitudinal gradient: (a) lower (900-1700 m) altitude forest (N = 24), (b) mid (1700-2500 m) altitude forests (N = 37), and (c) higher (2500-3200 m)altitude forests (N = 22). We measured and identified all living trees with a >3 cm diameter at breast height in each plot. We counted 10,344 individual plants, representing 114 woody species belonging to 42 families and 75 genera. The family Fagaceae and its species Lithocarpus pachyphyllus (Kurz) Rehder. were reported as the most dominant forest trees with the highest Importance Value Index. The Shannon diversity index was recorded as being the highest for the low-altitude forests, whereas measures of structural diversity varied among forests along with altitude: the mid-altitude forests recorded the highest stem density and the high-altitude forests showed the highest mean stem DBH (diameter at 1.3 m height). One significant finding of our study was the disparity of the size class distribution among forests along the altitudinal gradient. Overall, we found a reverse J-shape distribution of tree diameter signifying the uneven-agedness. However, we showed, for the first time, a complete lack of large trees (>93 cm DBH) in the lower altitude forests. Our study highlights conservation concerns for the low-altitude forests that record high species diversity, although lacked large-diameter trees. We anticipate that our study will provide a comprehensive understanding of forest diversity, composition, and structure along the altitudinal gradient to design conservation and sustainable management strategies

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“…The SP forest also had the lowest AGC compared to the other 2 sites, especially in the biggest dbh class (Figure 2D-E). Generally, the AGC increased according to the number of big trees and dbh class increases (Gogoi and Sahoo 2018;Mildrexler et al 2020;Shirima et al 2015). In the SP forest, basal area and AGC increased in the first to middle range of the dbh class but became lowest in the biggest dbh class (≥24 cm).…”

Section: Size Class Distributionmentioning

confidence: 94%

Forest structures and carbon stocks of community forests with different forest management in Maha Sarakham Province, Thailand

WANNASINGHA

GOMONTEAN²,

UTTARUK³

2023

Biodiversitas

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Abstract. Wannasingha W, Gomontean B, Uttaruk Y. 2023. Forest structures and carbon stocks of community forests with different forest management in Maha Sarakham Province, Thailand. Biodiversitas 24: 799-809. Forest management comprises strategies and practices to regulate human activities and the utilization of forest products. Management and regulations have various effects on forest structure, tree diversity and carbon accumulation. This study was conducted in three community forests with different levels of rule regulations and managed duration in the northeast of Thailand. Thirty of 20×20 m plots were placed for recording all trees with diameter at breast height (dbh) ?4.5 cm and >1.3 m height. One hundred and fifty plots of soil samples at 0-25 cm and 25-50 cm depths were also collected for organic carbon analysis. Forest carbon stocks were calculated from the sum of carbon in aboveground biomass (AGB) and soil organic carbon (SOC). The results showed that tree density, basal area, Shannon diversity index and evenness index of the best practices (BP) plots were higher than the plots in which moderate (MP) and slight practices (SP) were applied. Tree heights of the BP and MP forests were higher than the SP forest. The L-shape of dbh class distribution in all community forests means they were secondary forests; tree density was highest in the small dbh class and declined in the bigger size class. The bigger dbh class tree showed higher aboveground carbon (AGC) despite the lower tree density in all community forests. Most of the BP forest plots had the highest carbon stock (93.89, 80.52 and 54.96 Mg C ha-1) and CO2 absorption (344.25, 295.23 and 201.53 Mg CO2equiv.) compared with the others. Our results demonstrate the importance of forest management in affecting forest structures, carbon sequestration and carbon dioxide absorption from the atmosphere to reduce and mitigate climate change.

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Impact of anthropogenic disturbance on species diversity and vegetation structure of a lowland tropical rainforest of eastern Himalaya, India

Cited by 33 publications

References 38 publications

Quantifying Tree Diversity, Carbon Stocks, and Sequestration Potential for Diverse Land Uses in Northeast India

Quantifying Tree Diversity, Carbon Stocks, and Sequestration Potential for Diverse Land Uses in Northeast India

Assessing Forest Structure and Composition along the Altitudinal Gradient in the State of Sikkim, Eastern Himalayas, India

Forest structures and carbon stocks of community forests with different forest management in Maha Sarakham Province, Thailand

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