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运用 GLOBIO 4 预测陆地生物多样性完整度。

Projecting terrestrial biodiversity intactness with GLOBIO 4.

机构信息

PBL Netherlands Environmental Assessment Agency, The Hague, The Netherlands.

Department of Environmental Science, Institute for Water and Wetland Research, Radboud University, Nijmegen, The Netherlands.

出版信息

Glob Chang Biol. 2020 Feb;26(2):760-771. doi: 10.1111/gcb.14848. Epub 2019 Nov 3.

Abstract

Scenario-based biodiversity modelling is a powerful approach to evaluate how possible future socio-economic developments may affect biodiversity. Here, we evaluated the changes in terrestrial biodiversity intactness, expressed by the mean species abundance (MSA) metric, resulting from three of the shared socio-economic pathways (SSPs) combined with different levels of climate change (according to representative concentration pathways [RCPs]): a future oriented towards sustainability (SSP1xRCP2.6), a future determined by a politically divided world (SSP3xRCP6.0) and a future with continued global dependency on fossil fuels (SSP5xRCP8.5). To this end, we first updated the GLOBIO model, which now runs at a spatial resolution of 10 arc-seconds (~300 m), contains new modules for downscaling land use and for quantifying impacts of hunting in the tropics, and updated modules to quantify impacts of climate change, land use, habitat fragmentation and nitrogen pollution. We then used the updated model to project terrestrial biodiversity intactness from 2015 to 2050 as a function of land use and climate changes corresponding with the selected scenarios. We estimated a global area-weighted mean MSA of 0.56 for 2015. Biodiversity intactness declined in all three scenarios, yet the decline was smaller in the sustainability scenario (-0.02) than the regional rivalry and fossil-fuelled development scenarios (-0.06 and -0.05 respectively). We further found considerable variation in projected biodiversity change among different world regions, with large future losses particularly for sub-Saharan Africa. In some scenario-region combinations, we projected future biodiversity recovery due to reduced demands for agricultural land, yet this recovery was counteracted by increased impacts of other pressures (notably climate change and road disturbance). Effective measures to halt or reverse the decline of terrestrial biodiversity should not only reduce land demand (e.g. by increasing agricultural productivity and dietary changes) but also focus on reducing or mitigating the impacts of other pressures.

摘要

基于情景的生物多样性建模是一种评估未来社会经济发展可能对生物多样性产生何种影响的有力方法。在这里,我们评估了三种共享社会经济路径(SSP)与不同程度的气候变化(根据代表性浓度途径 [RCP])相结合对陆地生物多样性完整度(用平均物种丰度 [MSA] 指标表示)的变化:一个面向可持续性的未来(SSP1xRCP2.6)、一个由政治分歧世界决定的未来(SSP3xRCP6.0)和一个继续依赖化石燃料的全球未来(SSP5xRCP8.5)。为此,我们首先更新了 GLOBIO 模型,该模型现在以 10 弧秒(约 300 米)的空间分辨率运行,包含用于缩小土地利用和热带地区狩猎影响量化的新模块,以及用于量化气候变化、土地利用、生境破碎化和氮污染影响的更新模块。然后,我们使用更新后的模型来预测 2015 年至 2050 年与选定情景相对应的土地利用和气候变化对陆地生物多样性完整度的影响。我们估计 2015 年全球加权平均 MSA 为 0.56。在所有三种情景中,生物多样性完整度都有所下降,但可持续性情景下的下降幅度较小(-0.02),而区域竞争和化石燃料驱动发展情景下的下降幅度较大(分别为-0.06 和-0.05)。我们还发现,不同世界区域的预测生物多样性变化存在相当大的差异,特别是撒哈拉以南非洲地区未来损失较大。在一些情景-区域组合中,我们预测由于对农业土地的需求减少,未来生物多样性将恢复,但这一恢复被其他压力(特别是气候变化和道路干扰)的影响所抵消。为了阻止或扭转陆地生物多样性的下降,有效的措施不仅要减少土地需求(例如,通过提高农业生产力和改变饮食),还要注重减少或减轻其他压力的影响。

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