2018
DOI: 10.1080/24749508.2018.1522837
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Biomass and carbon stocks of trees in tropical dry forest of East Godavari region, Andhra Pradesh, India

Abstract: Assessment of biomass and carbon stock (CS) of trees was carried out in three selected study sites (four 0.25 ha [50 m × 50 m] plots in each site) in East Godavari region of Eastern Ghats. Aboveground biomass (AGB) was estimated by the non-harvest method by using allometric equations. The AGB ranged from 58.04 (site I) to 368.39 (site III) Mg/ha and the total CS of trees ranged from 44.51 to 218.84 Mg/ha. The highest CS accumulation in site III could be due to more soil moisture and abundant large diameter tre… Show more

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Cited by 28 publications
(12 citation statements)
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References 41 publications
(51 reference statements)
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“…Further, Zhao et al (2019) indicated that the variation in data sources, estimation methods, scope of study area and environmental variables with different biotic and abiotic conditions and response to climate change may lead to significant variation in carbon storage estimates. Moreover, Keiluweit et al (2015) The mean carbon stock from this study was slightly lower compared to those reported for nearly similar landscape in northern Kenya and Ethiopia (Dabasso et al, 2014;Gebeyehu et al, 2019), but was within the reported range in other dry forest-landscapes (Tiessen et al, 1998;Glenday, 2008;Simegn et al, 2014;Abere et al, 2017;Atsbha et al, 2019;Srinivas and Sundarapandian, 2019). The effects of vegetation and landscape type were significant on carbon stocks.…”
Section: Biomass Carbon Stock and Carbon Financingsupporting
confidence: 66%
“…Further, Zhao et al (2019) indicated that the variation in data sources, estimation methods, scope of study area and environmental variables with different biotic and abiotic conditions and response to climate change may lead to significant variation in carbon storage estimates. Moreover, Keiluweit et al (2015) The mean carbon stock from this study was slightly lower compared to those reported for nearly similar landscape in northern Kenya and Ethiopia (Dabasso et al, 2014;Gebeyehu et al, 2019), but was within the reported range in other dry forest-landscapes (Tiessen et al, 1998;Glenday, 2008;Simegn et al, 2014;Abere et al, 2017;Atsbha et al, 2019;Srinivas and Sundarapandian, 2019). The effects of vegetation and landscape type were significant on carbon stocks.…”
Section: Biomass Carbon Stock and Carbon Financingsupporting
confidence: 66%
“…The substantial variations of C stocks between plots could be due to wide variations of the distribution of large trunk tree species. Hence, sites with higher C stocks could be due to more abundant large diameter and tall trees whereas those sites with the least C stocks could be due to relatively high human and livestock disturbances as discussed by Srinivas and Sundarapandian [ 61 ]. The mean TC stock of all the plots (45.9 ± 5.17 Mg ha −1 ) of the present study was found within the global range value (14–123 Mg C ha −1 ) as reported by Murphy and Lugo [ 62 ] as well as within the range of the mean C stock value (39–334 Mg ha −1 ) of the dry tropical forests as reported by Becknell et al [ 63 ].…”
Section: Discussionmentioning
confidence: 99%
“…In a wider perspective, the dry evergreen montane forest ecosystem is severely threatened due to human and livestock pressures, which resulted in the loss of forest cover and biodiversity [ 25 , 50 , 61 , 65 ]. The results of the present study in Table 5 confirmed that human impacts, including the expansion of agricultural land and cutting tall trees as well as overgrazing by livestock, had negatively and significantly affected TC stock distribution.…”
Section: Discussionmentioning
confidence: 99%
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“…In general, plants absorb carbon dioxide for photosynthesis, then convert it into organic carbon in the form of biomass. The carbon content in biomass at a certain time is known as carbon stock (Rahaju, 2008;Srinivas and Sundarapandian, 2019). The carbon stock ( , ton ha -1 ) then is calculated by Equation (8) (Supriadi, 2012):…”
Section: Estimated Carbon Stockmentioning
confidence: 99%