Improving the precision of estimating carbon sequestration potential in four tree and shrub agroforestry species through the comparison of general and specific allometric equations in Côte d’Ivoire

IF 2 3区 农林科学 Q2 AGRONOMY
Mathilde Joncas, Alain R. Atangana, Valentin L. F. Wolf, Guillaume Kouassi, Christophe Kouamé, Damase Khasa
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Abstract

Agroforestry is an alternative to unsustainable agricultural practices, aiding in the mitigation of greenhouse gas emissions and climate change. However, accurately assessing the carbon sequestration potential of agroforestry tree species remains challenging due to reliance on destructive, time-consuming, and resource-intensive methods that hinder forest cover restoration in Côte d'Ivoire. Commonly used pantropical allometric equations lack specificity and precision, complicating carbon sequestration estimates. To address this, our study focused on four agroforestry species in Côte d'Ivoire: Theobroma cacao, Hevea brasiliensis, Coffea canephora, and Anacardium occidentale. We compared aboveground biomass estimates obtained using general and specific allometric equations for these species, collecting dendrometric measurements from 655T. cacao, 69 H. brasiliensis, 90 C. canephora, and 73 A. occidentale individuals. No concordance was found between generic and specific allometric equations using a linear regression model. The general equation significantly underestimated aboveground biomass by 20.06 kg, 1.10 kg, 7.28 kg, and 11.50 kg per tree for T. cacao, H. brasiliensis, C. canephora, and A. occidentale, respectively. The differences indicated a carbon sequestration potential 17.2% to 18.7% higher when using specific equations in cocoa-based agroforestry systems. This study underscores the urgency of developing customized allometric equations for more precise carbon sequestration assessments, enhancing the accuracy of agroforestry's contribution to climate change mitigation.

Abstract Image

通过比较科特迪瓦四种乔木和灌木农林树种的一般计量方程和特殊计量方程,提高碳固存潜力估算的精度
农林业可替代不可持续的农业生产方式,有助于减缓温室气体排放和气候变化。然而,由于依赖破坏性、耗时和资源密集型方法,阻碍了科特迪瓦森林植被的恢复,因此准确评估农林树种的固碳潜力仍具有挑战性。常用的泛热带等比例方程缺乏特异性和精确性,使得碳固存估算变得复杂。为了解决这个问题,我们的研究主要针对科特迪瓦的四种农林业物种:可可树、巴西坚果、咖啡和西洋柿。我们收集了 655 个可可树、69 个巴西可可树、90 个可可豆和 73 个西洋接骨木个体的树干测量数据,比较了这些物种使用一般和特殊异速方程得出的地上生物量估计值。使用线性回归模型发现,一般等式和特殊等式之间并不一致。一般等式明显低估了可可树、巴西可可树、金合欢树和西洋接骨木的地上生物量,每棵树分别低估了 20.06 千克、1.10 千克、7.28 千克和 11.50 千克。这些差异表明,在以可可为基础的农林系统中使用特定方程,固碳潜力可提高 17.2% 至 18.7%。这项研究强调,迫切需要开发定制的等比数列方程,以进行更精确的固碳评估,从而提高农林业对减缓气候变化所作贡献的准确性。
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来源期刊
Agroforestry Systems
Agroforestry Systems 农林科学-林学
CiteScore
5.30
自引率
9.10%
发文量
78
审稿时长
4.5 months
期刊介绍: Agroforestry Systems is an international scientific journal that publishes results of novel, high impact original research, critical reviews and short communications on any aspect of agroforestry. The journal particularly encourages contributions that demonstrate the role of agroforestry in providing commodity as well non-commodity benefits such as ecosystem services. Papers dealing with both biophysical and socioeconomic aspects are welcome. These include results of investigations of a fundamental or applied nature dealing with integrated systems involving trees and crops and/or livestock. Manuscripts that are purely descriptive in nature or confirmatory in nature of well-established findings, and with limited international scope are discouraged. To be acceptable for publication, the information presented must be relevant to a context wider than the specific location where the study was undertaken, and provide new insight or make a significant contribution to the agroforestry knowledge base
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