Impacts of global food supply on biodiversity via land use and climate change
Impacts of global food supply on biodiversity via land use and climate change
复制标题
全球粮食供应通过土地利用和气候变化对生物多样性的影响
DOI：
10.1101/2023.05.03.539201
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Boakes E
中科院分区：
文献类型：
--
作者：
Boakes E
土地使用变化目前是生物多样性变化的最大驱动力，预计到本世纪中叶，气候变化将达到或超过其影响。全球粮食系统是这两种人为压力的关键驱动力，因此，可持续粮食系统的发展对于制止和扭转生物多样性丧失至关重要。以前对食物生物多样性足迹的研究往往只关注土地利用。我们使用多区域投入产出模型EXIOBASE来估计嵌入在全球粮食系统中的生物多样性的影响。我们建立在以前的分析，计算农业土地利用和温室气体（GHG）排放足迹的影响，同样的两个生物多样性指标：当地物种丰富度和稀有加权物种丰富度。我们的生物多样性模型捕捉生物多样性对土地利用差异和气候变化敏感性的区域变化。我们发现，土地面积的足迹并没有捕捉到生物多样性的影响嵌入在贸易中，这是由我们的度量土地驱动的物种丰富度变化，我们的度量稀有加权丰富度的地方更加强调在中美洲和南美洲的生物多样性成本。我们发现，甲烷排放占总温室气体驱动的生物多样性足迹的70%，在几个地区，一年的粮食生产排放导致的生物多样性损失相当于该地区历史土地使用总量的2%或更多。我们提出的措施计算简单，可以纳入政府和企业的决策和环境影响评估。
Land-use change is currently the greatest driver of biodiversity change, with climate change predicted to match or surpass its impacts by mid-century. The global food system is a key driver of both these anthropogenic pressures, thus the development of sustainable food systems will be critical to halting and reversing biodiversity loss. Previous studies of the biodiversity footprint of food tend to focus on land use alone. We use the multi-regional input-output model EXIOBASE to estimate the impacts of biodiversity embedded within the global food system. We build on prior analyses, calculating the impacts of both agricultural land-use and greenhouse gas (GHG) emission footprints for the same two metrics of biodiversity: local species richness and rarity-weighted species richness. Our biodiversity models capture regional variation in the sensitivity of biodiversity both to land-use differences and to climate change. We find that the footprint of land area does not capture the biodiversity impact embedded within trade that is provided by our metric of land-driven species richness change, and that our metric of rarity-weighted richness places a greater emphasis on the biodiversity costs in Central and South America. We find that methane emissions are responsible for 70% of the overall GHG-driven biodiversity footprint and that, in several regions, emissions from a single year’s food production cause biodiversity loss equivalent to 2% or more of that region’s total historic land use. The measures we present are simple to calculate and could be incorporated into decision making and environmental impact assessments by governments and businesses.
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影响因子：
23.2
作者：
Crippa, M.;Solazzo, E.;Leip, A.
通讯作者：
Leip, A.
使用 GLOBIO 4 预测陆地生物多样性完整性
影响因子：
11.6
作者：
A. Schipper;J. Hilbers;Johan R. Meijer;L. Antão;A. Benítez‐López;Melinda M J de Jonge;L. Leemans;E. Scheper;R. Alkemade;J. Doelman;S. Mylius;E. Stehfest;D. V. van Vuuren;Willem;M. Huijbregts
通讯作者：
M. Huijbregts
利用乡村物种-区域关系改进跨尺度和栖息地的灭绝预测
影响因子：
4.6
作者：
Inês S. Martins;H. Pereira
通讯作者：
H. Pereira
寻找并解决粮食系统排放：科学与政策的双螺旋
影响因子：
6.7
作者：
C. Rosenzweig;Francesco N Tubiello;D. Sandalow;Philippe Benoit;Matthew N Hayek
通讯作者：
Matthew N Hayek
影响因子：
6.4
作者：
Etard, Adrienne;Morrill, Sophie;Newbold, Tim
通讯作者：
Newbold, Tim