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比较未来耕地扩张对全球生物多样性和碳储存的影响,跨越模型和情景。

Comparing the impact of future cropland expansion on global biodiversity and carbon storage across models and scenarios.

机构信息

Institute of Biological and Environmental Sciences, University of Aberdeen, 23 St Machar Drive, Aberdeen AB24 3UU, UK.

Stockholm Environment Institute York, Department of Environment and Geography, University of York, York YO10 5NG, UK.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2020 Mar 16;375(1794):20190189. doi: 10.1098/rstb.2019.0189. Epub 2020 Jan 27.

Abstract

Land-use change is a direct driver of biodiversity and carbon storage loss. Projections of future land use often include notable expansion of cropland areas in response to changes in climate and food demand, although there are large uncertainties in results between models and scenarios. This study examines these uncertainties by comparing three different socio-economic scenarios (SSP1-3) across three models (IMAGE, GLOBIOM and PLUMv2). It assesses the impacts on biodiversity metrics and direct carbon loss from biomass and soil as a direct consequence of cropland expansion. Results show substantial variation between models and scenarios, with little overlap across all nine projections. Although SSP1 projects the least impact, there are still significant impacts projected. IMAGE and GLOBIOM project the greatest impact across carbon storage and biodiversity metrics due to both extent and location of cropland expansion. Furthermore, for all the biodiversity and carbon metrics used, there is a greater proportion of variance explained by the model used. This demonstrates the importance of improving the accuracy of land-based models. Incorporating effects of land-use change in biodiversity impact assessments would also help better prioritize future protection of biodiverse and carbon-rich areas. This article is part of the theme issue 'Climate change and ecosystems: threats, opportunities and solutions'.

摘要

土地利用变化是生物多样性和碳储存损失的直接驱动因素。未来土地利用的预测通常包括由于气候和粮食需求的变化,耕地面积的显著扩大,尽管模型和情景之间的结果存在很大的不确定性。本研究通过比较三个不同的社会经济情景(SSP1-3)和三个模型(IMAGE、GLOBIOM 和 PLUMv2)来研究这些不确定性。它评估了耕地扩张对生物多样性指标和生物量及土壤直接碳损失的直接影响。结果表明,模型和情景之间存在很大差异,所有九个预测结果几乎没有重叠。尽管 SSP1 项目的影响最小,但仍有重大影响。由于耕地扩张的范围和位置,IMAGE 和 GLOBIOM 在碳储存和生物多样性指标方面预测的影响最大。此外,对于所有使用的生物多样性和碳指标,模型的解释方差比例更大。这表明提高基于土地的模型的准确性非常重要。在生物多样性影响评估中纳入土地利用变化的影响也有助于更好地确定未来保护生物多样性丰富和碳储量丰富地区的优先顺序。本文是主题为“气候变化与生态系统:威胁、机遇与解决方案”的特刊的一部分。

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