<p>There is an increasing demand for consistent methods and tools to quantify biodiversity footprints: the magnitude of biodiversity loss associated with all direct and indirect impacts associated with a given human activity or economic actor. Here, we present the intactness-based biodiversity impact factors (IBIF) dataset: a consistent set of country-level impact factors that can be used to attribute losses in local terrestrial biodiversity intactness to emissions and resource use associated with production or consumption in a given country. We used the GLOBIO biodiversity model and its mean species abundance (MSA) metric to obtain these impact factors for 234 countries and five environmental pressures: CO<sub>2</sub> emissions, NH<sub>3</sub> emissions, NO<sub>x</sub> emissions, land use (urban land, cropland, pasture, forest plantations and mines) and roads. IBIF includes impact factors for vascular plants, warm-blooded vertebrates (birds &amp; mammals) and both species groups combined. The dataset can be used to quantify the biodiversity footprints of current products, industrial sectors or consumers, in support of policy- and decision-making aimed at halting or reversing biodiversity loss.</p>

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Impact factors for quantifying country-level terrestrial biodiversity intactness footprints (IBIF)

  • Aafke M. Schipper,
  • Martijn van der Marel,
  • Michel Bakkenes,
  • Paul Giesen,
  • Mark M. P. van Oorschot,
  • Harry C. Wilting,
  • Mark A. J. Huijbregts,
  • Alexandra Marques

摘要

There is an increasing demand for consistent methods and tools to quantify biodiversity footprints: the magnitude of biodiversity loss associated with all direct and indirect impacts associated with a given human activity or economic actor. Here, we present the intactness-based biodiversity impact factors (IBIF) dataset: a consistent set of country-level impact factors that can be used to attribute losses in local terrestrial biodiversity intactness to emissions and resource use associated with production or consumption in a given country. We used the GLOBIO biodiversity model and its mean species abundance (MSA) metric to obtain these impact factors for 234 countries and five environmental pressures: CO2 emissions, NH3 emissions, NOx emissions, land use (urban land, cropland, pasture, forest plantations and mines) and roads. IBIF includes impact factors for vascular plants, warm-blooded vertebrates (birds & mammals) and both species groups combined. The dataset can be used to quantify the biodiversity footprints of current products, industrial sectors or consumers, in support of policy- and decision-making aimed at halting or reversing biodiversity loss.