Allometric equations for estimating biomass in agricultural landscapes: I. Aboveground biomass

Kuyah, Shem; Dietz, Johannes; Muthuri, Catherine; Jamnadass, Ramni; Mwangi, Peter; Coe, R.; Neufeldt, Henry

doi:10.1016/j.agee.2012.05.011

Cited by 157 publications

(143 citation statements)

References 18 publications

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“…Deforestation, biomass burning, conversion of natural to agricultural ecosystems, drainage of wetlands and soil cultivation are the principal causes of greenhouse gas emissions (Lal 2004). Several works have showed the role of agroforestry systems as an opportunity to reduce CO 2 concentrations in the atmosphere by increasing carbon (C) stocks in agricultural lands (Zapfack et al 2002;Albrecht & Kandji 2003;Oelbermann et al 2005;Saint-André et al 2005;Lufafa et al 2008;Takimoto et al 2008;Singh & Lodhiyal 2009;Torres et al 2010;Kumar et al 2011;Hergoualc'h et al 2012;Kuyah et al 2012;Thangata & Hildebrand 2012;Somarriba et al 2013;Kemeuze et al 2015;Manfo et al 2015;Jiagho et al 2016;Noiha et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Vegetation structure, carbon sequestration potential and species conservation in four agroforestry systems in Cameroon (Tropical Africa)

et al. 2018

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As the rate of forest degradation continues to rise, agroforestry may serve as a way of conserving species and carbon sinks. Th e aim of this study was to assess agrobiodiversity and carbon sequestration potential in agrosystems in Cameroon. Th ree age groups of agrosystems were studied. Data were collected in 100x50 m 2 quadrates. Density ranged from 53.17±0.08 to 1463±50.11; basal area from 2.07±0.00 to 988.39±16.13 m 2 /ha; Shannon diversity from 3.3±0.71 to 3.68±0.72; Carbon storage from 12.1±0.27 to 54.65±1.38 t C/ha for 1-10-year-old agrosystems with lowest values in neem; 34.78±0.87 to 71.34±1.6 t C/ha for 10-20-year-old stands with lowest values in cashew; 28.24±0.04 to 108.51±2.46 t C/ha for +20-year-old stands with highest values in eucalyptus; Carbon sequestration potential from 296.7±1.98 to 859.33±10.01 t CO 2eq /ha. Th e highest carbon stocks were found in eucalyptus stands (p<0.05). Several endogenous species, especially Afzelia bipindensis (EN), Leptoderris ledermannii (EN), Mansonia altissima (EN), Entandrophragma cylindricum (VU), Nesogordonia papaverifera (VU), Quassia sanguinea (VU), Vitellaria paradoxa (VU), Afzelia africana (VU), Erythrina senegalensis (LC), Detarium microcarpum (LC), senna spectabilis (LC), were assessed. Other overexploited species, especially Carissa edulis, Zanthoxylum zanthoxyloides, Adansonia digitata, Securidaca longepedonculata, were assessed as well. Th e studied systems are signifi cant CO 2eq sinks and refuge centre for agrobiodiversity.

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Section: Introductionmentioning

confidence: 99%

Vegetation structure, carbon sequestration potential and species conservation in four agroforestry systems in Cameroon (Tropical Africa)

et al. 2018

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“…The importance of the relationship of the two variables is underpinned by the size of the mean prediction errors, as the quality of landscape scale measures depend on this [7]. The unbiased estimates of the woody biomass observed in the study sites are an indication of the robustness of the model in providing such unbiased estimates at the landscape level.…”

Section: Discussionmentioning

confidence: 99%

“…The unbiased estimates of the woody biomass observed in the study sites are an indication of the robustness of the model in providing such unbiased estimates at the landscape level. However, when considering the prediction of biomass of individual trees, the root mean square error (RMSE), as a measure of deviation of the estimated individual tree biomass from their mean, is more important than bias [7]. RMSE helped to get the variability of bias, as zero bias might result when under-or over-estimates cancel out while predicting a lot of trees, but the prediction of an individual tree may be inaccurate.…”

Section: Discussionmentioning

confidence: 99%

“…Our study uses data from Jatropha trees that are planted and managed together with other agricultural crops under smallholder farming systems. Kuyah et al [7] and Brassard et al [26] observed that applying forest-based allometric models to trees that are growing under farm conditions are constrained by factors that influence biomass allocation. For example, trees on a farm are often managed through pruning and coppicing, and they periodically benefit from agricultural operations such as fertilization intended to improve crop production.…”

Section: Introductionmentioning

confidence: 99%

“…Accurate estimates of carbon stocks depend to a great degree on the availability and adequacy of the allometric equations that are used to estimate tree biomass [3,5,6]. Allometric equations are a fundamental tool for the non-destructive estimation of biomass in woody vegetation and their value depends on the empirical data used to construct such equations [7]. These equations express tree biomass as a function of easy-to-measure parameters such as diameter, height, wood density, or a combination of these [6,8].…”

Section: Introductionmentioning

confidence: 99%

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Allometry for Biomass Estimation in Jatropha Trees Planted as Boundary Hedge in Farmers’ Fields

Makungwa

Chittock²,

Skole

et al. 2013

Forests

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Regrowth and planted trees in agricultural landscapes are rarely protected from clearing under national Forest Acts. There is, therefore, some question over the long-term security of any value they might provide to biodiversity and the global carbon cycle. Engaging landholders in carbon credits that are conditioned on planted areas being maintained into the future could improve the situation. To begin carbon trading, landholders need precise and accurate estimates of the carbon sequestered by the trees in their fields. Accurate estimates of carbon stocks depend to a greater degree on the availability and adequacy of the allometric equations that are used to estimate tree biomass. The present study has developed an allometric model for estimating the woody biomass of Jatropha trees planted as boundary hedges in agricultural landscapes under smallholder farming systems in Malawi. The predictive performance of the model was assessed and was subsequently compared with the published Jatropha models. The results showed that the statistical fits of our model were generally good, enabling one to use it with confidence for estimating wood biomass in Jatropha stands from which they were derived. The published Jatropha models consistently overestimated the woody biomass by as much as 55%, rendering them unsuitable for application in estimating woody biomass in our study sites.

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Modeling Soil Erosion Impacts and Trade‐Offs of Sustainable Land Management Practices in the Upper Tana Region of the Central Highlands in Kenya

Birnholz¹,

Paul²,

Sommer³

et al. 2022

Enhancing Agricultural Research and Precision Management for Subsistence Farming by Integrating System Models With Experiments

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Allometric equations for estimating biomass in agricultural landscapes: I. Aboveground biomass

Cited by 157 publications

References 18 publications

Vegetation structure, carbon sequestration potential and species conservation in four agroforestry systems in Cameroon (Tropical Africa)

Vegetation structure, carbon sequestration potential and species conservation in four agroforestry systems in Cameroon (Tropical Africa)

Allometry for Biomass Estimation in Jatropha Trees Planted as Boundary Hedge in Farmers’ Fields

Modeling Soil Erosion Impacts and Trade‐Offs of Sustainable Land Management Practices in the Upper Tana Region of the Central Highlands in Kenya

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