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Scientific Data· 2022Q1

A global record of annual terrestrial Human Footprint dataset from 2000 to 2018

Haowei Mu, Xuecao Li, Yanan Wen, Jianxi Huang et al.

Short summary

A new global dataset mapping annual Human Footprint from 2000-2018 reveals over 2 million km² of wilderness was lost, with mangroves experiencing over 5% loss.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Developed a global annual Human Footprint dataset spanning 2000-2018.
  • Found over 2 million km² of wilderness was lost globally in two decades.
  • Mangrove biomes showed the most significant wilderness loss (>5%).
  • Dataset integrates eight variables reflecting different human pressures.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract Human Footprint, the pressure imposed on the eco-environment by changing ecological processes and natural landscapes, is raising worldwide concerns on biodiversity and ecological conservation. Due to the lack of spatiotemporally consistent datasets of Human Footprint over a long temporal span, many relevant studies on this topic have been limited. Here, we mapped the annual dynamics of the global Human Footprint from 2000 to 2018 using eight variables that reflect different aspects of human pressures. The accuracy assessment revealed a good agreement between our mapped results and the previously developed datasets in different years. We found more than two million km 2 of wilderness (i.e., regions with Human Footprint values below one) were lost over the past two decades. The biome dominated by mangroves experienced the most significant loss (i.e., above 5%) of wilderness, likely attributed to intensified human activities in coastal areas. The derived annual and spatiotemporally consistent global Human Footprint can be a fundamental dataset for many relevant studies about human activities and natural resources.

The authors' abstract, as published at the source. Scientific Data, 2022 · DOI ↗

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Field: Transportation

TransportationSocial Sciences