Biomass, carbon stocks estimation and predictive modeling in mango based land uses on degraded lands in Indian Sub-Himalayas

Rathore, A. C.; Mehta, Harsh; Islam, Shams Ul; Saroj, P. L.; Sharma, N. K.; Jayaprakash, J.; Gupta, A. K.; Dubey, Rahul; Ghosh, B. N.; Prasad, Ram; Kumar, Dinesh; Raizada, A.

doi:10.1007/s10457-021-00660-4

Cited by 14 publications

(5 citation statements)

References 11 publications

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“…The study confirmed that silvopasture systems can directly: (a) improve biomass yield, (b) enhance nutrient cycling, (c) boost C capture, and (d) enhance economic output and land value. Indirectly, these benefits will generate other associated advantages such as higher livestock productivity, greater resilience of the soil to degradation, nutrient loss, and climate change, higher biodiversity and animal welfare (Broom et al, 2013; Rathore et al, 2021). The direct benefits can contribute to (a) improved livelihoods (sustainable development goal [SDG] 1) and food security (SDG 2) (b) climate action (SDG 13), (c) responsible production (SDG 12), and (d) decent work and economic growth (SDG 8) (Figure 5).…”

Section: Discussionmentioning

confidence: 99%

“…(a) improve biomass yield, (b) enhance nutrient cycling, (c) boost C capture, and (d) enhance economic output and land value. Indirectly, these benefits will generate other associated advantages such as higher livestock productivity, greater resilience of the soil to degradation, nutrient loss, and climate change, higher biodiversity and animal welfare (Broom et al, 2013;Rathore et al, 2021). This kind of exogenous and vital impediment prevents not only the introduction of silvopasture, but also the expansion of all types of productive alternate land use structures.…”

Section: Environmental Sustainabilitymentioning

confidence: 99%

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Silvopasture systems for restoration of degraded lands in a semiarid region of India

et al. 2022

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Silvopasture systems (SPSs) provide an opportunities for efficient use of lands, apportioning risk under adverse climate and giving higher returns than other systems. SPSs improve biomass production; however, yield sustainability, nutrient cycling capability and carbon capture capacity of SPSs have remained unexplored in semiarid India. For these, 10-year old SPS of Ficus infectoria, Morus alba, Acacia nilotica, and Madhuca latifolia comprising of three perennial grasses namely, Cenchrus ciliaris, Chrysopogon fulvus, Panicum maximum, and two perennial legumes namely, Clitoria ternatea and Stylosanthes seabrana in each system were evaluated. Among grasses, Panicum maximum had significantly (p < 0.05) higher mean yield than Chrysopogon fulvus and Cenchrus ciliaris (44% and 153%, respectively). Significantly, Stylosanthes seabrana had 2-times higher mean productivity than Clitoria ternatea. Among the trees, fodder availability from F. infectoria was ~8.65-and 1.07-times greater than M. latifolia and M. alba, respectively and similar to A. nilotica. Total tree carbon stock of A. nilotica was ~1.52-, 5.88-, and 2.16-times greater than F. infectoria, M. latifolia, and M. alba, respectively. Environmental benefits in terms of soil nutrient status and carbon sequestration were significantly greater under A. nilotica based SPS than others.A. nilotica and M. alba based SPSs had a discounted benefit-cost ratio ~2.2 and internal rate of return >12%. Overall, A. nilotica and M. alba based SPSs could augment yield sustainability, economic profitability and environmental benefit over other SPSs in semiarid India. Hence, they can be recommended as nature based solutions to restore degraded lands in semi-arid India.

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Section: Discussionmentioning

confidence: 99%

Section: Environmental Sustainabilitymentioning

confidence: 99%

Silvopasture systems for restoration of degraded lands in a semiarid region of India

et al. 2022

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“…Intercrops biomasses (1 m 2 area litchi tree À1 ) were processed similarly, but the only difference was in drying temperature (60 C). The biomass per tree (kg tree À1 ) was converted to per hectare (Mg ha À1 ) by multiplying by tree density (156 ha À1 ) (Rathore et al, 2021). Carbon concentration in tree components was measured at 47% of the ash-free dry mass (IPCC, 2019).…”

Section: Biomass and Carbon Stockmentioning

confidence: 99%

“…The higher concentration of atmospheric greenhouse gases (GHGs) is affecting the lives on the land, leading to economic disruption and ecosystem damage (Rathore et al, 2021). Recently, Conferences of the Parties (COPs) of the United Nations Framework Convention on Climate Change (UNFCCC) have already set a prime objective to reduce atmospheric CO 2 concentration significantly (IPCC, 2019).…”

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confidence: 99%

Long‐term conservation practice in litchi (Litchi chinensis L.) cultivation improves the crop productivity and soil health of degraded lands

Rathore,

Singh,

Islam

et al. 2024

Land Degrad Dev

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A long‐term experiment (1995–2021) was conducted on litchi (Litchi chinensis L.) with and without conservation practices, that is, litchi under clean cultivation (LCC) (recommended doses of fertilizers without intercrops and mulch) and litchi with conservation practice (LCP) (micro‐site improvement, intercrops, and organic mulching) on degraded lands. The study aimed to evaluate the long‐term impact of litchi‐based land uses on vegetative growth (plant height, canopy volume, fruit yield, and litter production), soil moisture, biomass production, carbon stocks (CS), and soil qualities (enzyme activities, microbial counts, and soil fertility). The results revealed that LCP improved vegetative growth, yields, and soil moisture over LCC. The total dry biomass was observed 91.6–103.9, stored CS; 43.6–49.4, emitted CS; 7.04–9.40, mitigated CS; 30.1–30.5, soil CS; 35.7–39.9, total CS (soil + vegetation); 65.9–70.5 Mg ha−1 and carbon dioxide mitigation; 88.3–112.1 Mg ha−1 in LCC and LCP land uses, respectively. Further, in LCP, beta‐glucosidase, acid phosphatase, alkaline phosphatase, and dehydrogenase activities increased by 17.2%, 20.4%, 19.8%, and 24.8%, respectively, in surface soil compared with LCC in 2021. Likewise, the microbial density of bacteria, fungi, and actinomycetes was also observed to be 20.2%, 41.4%, and 19.5% higher, respectively, in LCP land use in 2021 over 2015. Similarly, available N, P, and K increased by 19.9%, 75.3%, and 36.8% under LCP from 1997 to 2021. Hence, litchi‐based land use with conservation practices can be advocated to rehabilitate and improve the soil health of degraded lands and enhance ecosystem services in similar edaphoclimatic conditions.

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“…There are currently no predictive models available to estimate the above ground biomass for tree species under tree-based intercropping systems on marginal lands in southern Ontario, Canada. Regression models are commonly used and cost-effective methods for predicting aboveground biomass and carbon stocks in various woody crop production systems (Ravindranath and Ostwald, 2008;Youkhana et al, 2017), and many researchers have employed resultant allometric equations for biomass estimation due to their accuracy and e ciency (Rathore et al, 2021;Lambert et al, 2005). These equations primarily utilize tree growth characteristics such as diameter at breast height (DBH), height, and collar diameter as regressors (Guiabao, 2016;Naik et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Allometric Equations for Estimating Above-Ground Biomass Carbon sequestration in Five Tree Species grown in an Intercropping Agroforestry System in Southern Ontario, Canada

Bazrgar,

Thevathasan,

Gordon

et al. 2023

Preprint

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Allometric equations were developed for estimating above-ground biomass carbon (AGBC) sequestration in five tree species grown in a tree-based intercropping system at the University of Guelph Agroforestry Research Station (GARS), Guelph, Ontario, Canada. A total of 66 representative trees from five species: Red Oak (Quercus rubra) [n = 12], Black Walnut (Juglans nigra) [n = 16], Black Locust (Robinia pseudoacacia) [n = 10], White Ash (Fraxinus americana) [n = 15], Norway Spruce (Picea abies) [n = 13] were selected, harvested and their aboveground biomass and C content were quantified. Three commonly used allometric models were used to develop predictive equations. Regression models were developed and parameterized for each tree species and the best are presented based on information criteria (AIC, AICc, and BIC), mean absolute percentage error (MAPE), over/under estimation (MOUE), root mean square error (RMSE), R2, and regression coefficients (a, b) of the observed/predicted (OP) linear regression analysis. All equations with diameter at breast height (D) only and D and tree height (H) as the predictor variables fitted the AGBC data well, with R2 > 97% and RMSE < 40. However, a power model using D as the only predictor is recommended as the best model for Black Walnut, Black Locust, White Ash, and Norway Spruce. The models presented are the best fitted allometric equations for the indicated species and are recommended for these species, growing on similar soils under the same temperate conditions at densities of < 100 trees per hectare.

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Biomass, carbon stocks estimation and predictive modeling in mango based land uses on degraded lands in Indian Sub-Himalayas

Cited by 14 publications

References 11 publications

Silvopasture systems for restoration of degraded lands in a semiarid region of India

Silvopasture systems for restoration of degraded lands in a semiarid region of India

Long‐term conservation practice in litchi (Litchi chinensis L.) cultivation improves the crop productivity and soil health of degraded lands

Allometric Equations for Estimating Above-Ground Biomass Carbon sequestration in Five Tree Species grown in an Intercropping Agroforestry System in Southern Ontario, Canada

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