Effect of vegetation structure on above ground biomass in tropical deciduous forests of Central India

Lal, Preet; Kumar, Amit; Saikia, Purabi; Das, Anup; Patnaik, C.; Kumar, Gajendra; Pandey, Arvind Chandra; Srivastava, Parul; Dwivedi, Chandra Shekhar; Khan, M. L.

doi:10.1080/10106049.2021.1936213

Cited by 14 publications

(6 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The ecological disturbances have sound impacts over the forest structure and composition, while more disturbed forests have lower biomass and species richness. The recorded tree species richness in the present study was quite high compared with the earlier reports from the tropical mixed deciduous forests of Jabalpur (28 species) (Fayiah et al, 2018) and tropical deciduous forests of Satpura Tiger Reserve (54 species) (Lal et al, 2021), but it is comparable with the tropical deciduous forests of Jharkhand (137 species) . The higher species richness and its spatial variations in different forested grids in our study were mainly due to varying degree of anthropogenic disturbances, diverse habitat, topography, prevailing microclimate, and seasonality during the study periods (as the present study was conducted throughout the year irrespective of seasons) .…”

Section: Discussioncontrasting

confidence: 57%

“…In accord with the present study, T . grandis was the most dominant tree species in tropical deciduous forests of Satpura Tiger Reserve (13.5% of total tree density) (Lal et al, 2021) and in the Mudumalai forest region (12% of total tree density) (Kishore et al, 2020), and the four most dominant tree species had contributed 45.24% and 32.60% of the total tree density, respectively. On the contrary, Kydia calycina Roxb.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Spatial pattern of tree diversity and impacts of ecological disturbances on forest structure in tropical deciduous forests of Central India

Kumar

Saikia

et al. 2022

Biotropica

Self Cite

View full text Add to dashboard Cite

Tropical forests are the most complex and diverse terrestrial ecosystems on earth, which are undergoing rapid fragmentation, degradation (Janzen, 1998), and deforestation posing an enormous threat to global biodiversity (Barlow et al., 2016;Hare et al., 1997). It covers only 7% of the earth's land surface with >50% of the known species that are disappearing at a rate of 0.8-2.0% year −1 (Sagar et al., 2003) with the global declining rate of 13.5 Mha of forests year −1 (Kobayashi, 2004). More than half of the forest tree species worldwide are being threatened with anthropogenic disturbances and environmental changes (ter Steege et al., 2015) of which ~7800 tree species are threatened with extinction (Oldfield et al., 1998).

show abstract

Section: Discussioncontrasting

confidence: 57%

Section: Discussionmentioning

confidence: 99%

Spatial pattern of tree diversity and impacts of ecological disturbances on forest structure in tropical deciduous forests of Central India

Kumar

Saikia

et al. 2022

Biotropica

Self Cite

View full text Add to dashboard Cite

show abstract

“…Our objective in this study was to identify subsidence rates in used and restored peatland based on interferometric synthetic aperture radar data from Sentinel-1A products (D-InSAR). The advantage of SAR products is their ability to record data from the Earth's surface without depending on cloud conditions, which is often a major obstacle for remote-sensing products, for example, multispectral data (Shimada et al, 2016;Lees et al, 2018;Lal et al, 2021). The C-band dual-polarization Sentinel-1 data serve as an advantageous tool for monitoring tropical peatland and discriminating peat depth classes (Khakim et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…As our purpose in this study was to identify subsidence on a yearly basis, we selected the D-InSAR method as appropriate for application. Natural conditions such as peatland moisture content, atmospheric conditions, and vegetation canopy can affect the results of D-InSAR analysis (Khakim et al, 2020;Lal et al, 2021;Tampuu et al, 2021). Soil moisture is an important factor in determining the penetration depth of the radar signals.…”

Section: Introductionmentioning

confidence: 99%

Characterizing subsidence in used and restored peatland with Sentinel SAR data

Tarigan,

Kristanto,

Utomo

2023

Front. Environ. Sci.

View full text Add to dashboard Cite

Peatland is a fragile ecosystem in the tropical region which is prone to subsidence. Until now, there is still lack of procedure to rapidly assess a tropical peatland subsidence in a large area. Our objective was to compare subsidence in a used and restored zone in a peatland hydrological unit using synthetic aperture radar data from Sentinel-1A products (SAR data) in South Sumatra, Indonesia from the period of 2014–2021. The subsidence rate of used peatland estimated by the D-InSAR procedure were in the range of 28–80 cm year−1 in the early period of its utilization and becoming less for the consecutive year (16–48 cm year−1). Meanwhile, the subsidence rate based on the field surveys was in the range of 4–50 cm year−1 in the early period of peatland utilization. The subsidence rate in the used peatland zone (agriculture and plantations) was higher than that in the restoration zone for all SAR data pairs used in our study. The SAR data is a potential tool for the assessment, monitoring and differentiating subsidence rates among different peatland uses in a large area. This tool will help the Directorate of Peat Ecosystem Degradation Control, Directorate General of Environmental Pollution and Degradation Control, and Ministry of Environment and Forestry to plan for better peatland management and restoration.

show abstract

“…LULCC affects biogeochemistry (Mahowald et al, 2017), biophysical (Duveiller et al, 2020), and biogeographical (Hibbard et al, 2010) attributes of the terrestrial surface (Kabat et al, 2004;Govorushko, 2016) and also modifies the concentration of greenhouse gases (GHGs) in the atmosphere, thereby affecting the atmospheric chemical composition (Pielke et al, 1998;Hibbard et al, 2010;Lal et al, 2020a;Lal et al, 2021a). The changes in biodiversity in the form of alteration of flora and fauna by the introduction of invasive species aggravate the bio-geographical composition on the surface (Clavero, 2016;Forstmaier et al, 2020;Saikia et al, 2020;Lal et al, 2021b). The significant change in the biogeophysical properties largely by anthropogenic activities leads to the imbalance in surface energy budget by modifications of albedo cover, surface roughness, evapotranspiration (ET), and leaf area index (LAI) (Lee et al, 2011;Lal et al, 2019;Zhang and Ye, 2021).…”

Section: Introductionmentioning

confidence: 99%

Quantifying Temperature and Precipitation Change Caused by Land Cover Change: A Case Study of India Using the WRF Model

Lal

Shekhar

Kumar

2021

Front. Environ. Sci.

Self Cite

View full text Add to dashboard Cite

The large-scale Land-Uses and Land-Cover Changes (LULCC) in India in the past several decades is primarily driven by anthropogenic factors that influence the climate from regional to global scales. Therefore, to understand the LULCC over the Indian region from 2002 to 2015 and its implications on temperature and precipitation, we performed Weather Research Forecast (WRF) model simulation using the European Centre for Medium-Range Weather Forecast (ECMWF) reanalysis data for the period 2009 to 2015 as a boundary condition with 2009 as spin-up time. The results showed moderate forest cover loss in major parts of northeast India, and the Himalayan region during 2002–2015. Such large LULC changes, primarily significant alteration of grassland and agriculture from the forest, led to increased precipitation due to increasing evapotranspiration (ET) similar to the forest-dominated regions. An increase in the precipitation patterns (>300 mm) was observed in the parts of eastern and western Himalayas, western Ghats, and the northwestern part of central India, while most parts of northeast Himalayas have an exceptional increase in precipitation (∼100–150 mm), which shows similar agreement with an increase of leaf area index (LAI) by ∼15%. The overall phenomenon leads to a greening-induced ET enhancement that increases atmospheric water vapor content and promotes downwind precipitation. In the case of temperature, warming was observed in the central to eastern parts of India, while cooling was observed in the central and western parts. The increase in vegetated areas over northwest India led to an increase in ET, which ultimately resulted in decreased temperature and increased precipitation. The study highlights the changes in temperature and precipitation in recent decades because of large LULCC and necessitates the formulation of sustainable land use-based strategies to control meteorological variability and augment ecological sustainability.

show abstract

Effect of vegetation structure on above ground biomass in tropical deciduous forests of Central India

Cited by 14 publications

References 57 publications

Spatial pattern of tree diversity and impacts of ecological disturbances on forest structure in tropical deciduous forests of Central India

Spatial pattern of tree diversity and impacts of ecological disturbances on forest structure in tropical deciduous forests of Central India

Characterizing subsidence in used and restored peatland with Sentinel SAR data

Quantifying Temperature and Precipitation Change Caused by Land Cover Change: A Case Study of India Using the WRF Model

Contact Info

Product

Resources

About