Biocarbon projects in agroforestry: lessons from the past for future development

Foster, Kristi; Neufeldt, Henry

doi:10.1016/j.cosust.2013.12.002

Cited by 24 publications

(10 citation statements)

References 35 publications

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“…The latter intend to contribute to local development by generating carbon-based incomes for smallholders through carbon markets. Co-benefits include supporting ecosystem services like improved soil fertility, and provisioning services like food and income [13,16,17]. Biocarbon projects are diverse in scope, and a large share of World Bank Biocarbon Fund investments go into environmental restoration of degraded lands (50.5%), fuelwood production (23%) and timber production (20%) [15].…”

Section: Introductionmentioning

confidence: 99%

Farmers’ preferred tree species and their potential carbon stocks in southern Burkina Faso: Implications for biocarbon initiatives

Dimobe

Tondoh

Weber³

et al. 2018

PLoS ONE

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The success of terrestrial carbon sequestration projects for rural development in sub-Saharan Africa lies in the (i) involvement of local populations in the selection of woody species, which represent the biological assets they use to meet their daily needs, and (ii) information about the potential of these species to store carbon. Although the latter is a key prerequisite, there is very little information available. To help fill this gap, the present study was undertaken in four pilot villages (Kou, Dao, Vrassan and Cassou) in Ziro Province, south-central Burkina Faso. The objective was to determine carbon storage potential for top-priority woody species preferred by local smallholders. We used (i) participatory rural appraisal consisting of group discussions and key informant interviews to identify priority species and functions, and (ii) landscape assessment of carbon stocks in the preferred woody species. Results revealed 79 priority tree and shrub species grouped into six functions, of which medicine, food and income emerge as the most important ones for the communities. For these functions, smallholders overwhelmingly listed Vitellaria paradoxa, Parkia biglobosa, Afzelia africana, Adansonia digitata, Detarium microcarpum, and Lannea microcarpa among the most important tree species. Among the preferred woody species in Cassou and Kou, the highest quantity of carbon was stored by V. paradoxa (1180 ±209 kg C ha-1 to 2089±522 kg C ha-1) and the lowest by Grewia bicolor (5±1.2 kg C ha-1). The potential carbon stored by the preferred tree communities was estimated at 587.9 Mg C ha-1 (95% CI: 456.7; 719.1 Mg C ha-1) in Kou and256.8 Mg C ha-1 (95% CI: 67.6; 324.4 Mg C ha-1) in Cassou. The study showed that the species that farmers preferred most stored more carbon than species that were less preferred.

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Section: Introductionmentioning

confidence: 99%

Farmers’ preferred tree species and their potential carbon stocks in southern Burkina Faso: Implications for biocarbon initiatives

Dimobe

Tondoh

Weber³

et al. 2018

PLoS ONE

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“…One option to nance agroforestry adoption in developing countries is through biocarbon projects, under which land users receive payments for carbon sequestered on their land (Foster and Neufeldt, 2014). Taking into consideration the UNFCCC de nition of forest, a lot of existing agroforestry systems worldwide could qualify to be an integral part of a REDD+ mechanism (Minang et al, 2011).…”

Section: Iii) Carbon Revenuementioning

confidence: 99%

Agroforestry a pathway to climate smart agribusiness: Lessons to smallholder farmers

Kassa

2021

Preprint

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Agroforestry systems have become increasingly relevant in recent days as they introduced new commercial opportunities to smallholder farmers. In the same vein, being an eco-friendly practice has gained agroforestry systems popularity as a climate-smart agriculture practice. However, exploiting the investment potential of agroforestry systems requires understanding their challenges and opportunities as a business. The review addresses the combination of annual crops with trees to ensure stable income, social, and environmental justice. In a nutshell, by creating a productive, resilient, and low-emission land-use for smallholder farmers, agroforestry systems can be an effective and efficient pathway towards climate-smart agribusiness and to the achievement of the Global Goal of Sustainable Development.

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“…On one day, 12:00 is the central symmetry axis, and the solar altitude angles from 8:00 to 12:00 and 12:00-17:00 are equal. According to the introduced deflection equation of sunlight (11) and (12), the improved canopy shading model is given by the following:…”

Section: The Improvement Of the Canopy Shading Model For Apple Treesmentioning

confidence: 99%

“…Therefore, taking full advantage of trees and crops, minimizing competition among species, and maximizing the use of available resources are key to deciding structural arrangements in agroforestry systems [9,10]. Additionally, it is a major constraint that affects ecological, economic, and social benefits [11,12]. Thus, the interspecific relationships and regulation of agroforestry systems play an important role in the theoretical research and production practice of agroforestry systems.…”

Section: Introductionmentioning

confidence: 99%

The Improved Canopy Shading Model Based on the Apple Intercropping System (Case Study: Loess Plateau, China)

Wang

YuBo

et al. 2018

Sustainability

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The canopy shading model is widely used in agroforestry systems. However, the canopy shading model cannot be verified by the measured shading distribution of an apple tree due to the uneven ground and adjacent apple trees. This paper measures the spatial‒temporal distribution of the shading of apple trees based on the similarity principle of parallel solar light combined with 3D printing technology to improve the canopy shading model. The following results are drawn: (1) The current widely used canopy shading model does not consider the effect of the canopy penumbra, resulting in poor simulation accuracy in the shading distribution compared to the actual measurement; (2) The effect of canopy penumbra causes the deflection of sunlight. Hence, the paper presents the deflection equation of sunlight with statistically defined parameters derived using measured data of the shading distribution. The deflection equation of sunlight is added to the improved canopy shading model. The improved model can accurately simulate the shading distribution of an apple tree, and the simulation accuracy exceeds 94.12% when compared with the shading distribution of an apple tree; (3) The improved canopy shading model is applied to simulate the spatial‒temporal distribution of the shading of apple trees in a conventional arrangement (4 m × 5 m), and the simulation accuracy exceeds 89%. Thus, the improved canopy shading model can be applied to simulate the spatial‒temporal distribution of shading of apple trees.

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Biocarbon projects in agroforestry: lessons from the past for future development

Cited by 24 publications

References 35 publications

Farmers’ preferred tree species and their potential carbon stocks in southern Burkina Faso: Implications for biocarbon initiatives

Farmers’ preferred tree species and their potential carbon stocks in southern Burkina Faso: Implications for biocarbon initiatives

Agroforestry a pathway to climate smart agribusiness: Lessons to smallholder farmers

The Improved Canopy Shading Model Based on the Apple Intercropping System (Case Study: Loess Plateau, China)

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