Department of Civil, Environmental and Geomatic Engineering, Institute of Environmental Engineering, Ecological Systems Design, Swiss Federal Institute of Technology, ETH Zurich, 8093 Zurich, Switzerland.
Department of Humanities, Social, and Political Sciences, Institute of Science, Technology, and Policy (ISTP), Swiss Federal Institute of Technology, ETH Zurich, 8092 Zurich, Switzerland.
Environ Sci Technol. 2024 Jun 4;58(22):9601-9611. doi: 10.1021/acs.est.3c07795. Epub 2024 May 18.
Agricultural land use for export commodities leads to significant biodiversity impacts. A spatially detailed assessment of these impacts is crucial for implementing effective mitigation policies. Using cocoa cultivation and exports in Côte d'Ivoire as an example, we present a novel framework that combines earth observations, enhanced landscape-scale biodiversity models, and subnational export supply chain data sets to track the tele-connected potential biodiversity impacts of export groups and importing countries. We found that cocoa cultivation accounts for ∼44% of the biodiversity impacts in Côte d'Ivoire's cocoa cultivation areas, with >90% attributable to cocoa exports. The top 10 importing countries account for ∼84% of these impacts. Our method offers improved spatial detail compared to the existing approaches, facilitating the identification of biodiversity impact hotspots. Additionally, the biodiversity impacts of agroforestry cocoa are not always lower compared to full-sun cocoa, especially when agroforestry systems are established in regions of high biodiversity importance. Our transferable framework provides a comprehensive understanding of biodiversity footprint and promotes informed decision-making for sustainable agricultural production, processing, and trade. Our framework's application is currently constrained by the scarcity of detailed supply chain data sets; we underscore the urgent need for improved supply chain transparency to fully unlock the framework's potential.
农业用地用于出口商品会对生物多样性产生重大影响。对这些影响进行详细的空间评估对于实施有效的缓解政策至关重要。本文以科特迪瓦的可可种植和出口为例,提出了一个新的框架,该框架结合了地球观测、增强的景观尺度生物多样性模型以及国家以下一级出口供应链数据集,以追踪出口群体和进口国之间的远程潜在生物多样性影响。我们发现,可可种植占科特迪瓦可可种植区生物多样性影响的约 44%,其中 90%以上归因于可可出口。排名前 10 的进口国占这些影响的约 84%。与现有方法相比,我们的方法提供了更高的空间细节,有助于识别生物多样性影响热点。此外,与全阳光可可相比,农林复合可可的生物多样性影响并不总是更低,尤其是当农林复合系统建立在生物多样性重要性高的地区时。我们的可转移框架提供了对生物多样性足迹的全面了解,并为可持续农业生产、加工和贸易做出明智决策提供了支持。我们的框架的应用目前受到详细供应链数据集稀缺的限制;我们强调迫切需要提高供应链透明度,以充分发挥该框架的潜力。