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Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils
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Classifying drivers of global forest loss.

Philip G Curtis1, Christy M Slay2, Nancy L Harris3

  • 1Sustainability Consortium, University of Arkansas, Fayetteville, AR 72701, USA. philip.curtis@sustainabilityconsortium.org.

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Summary

Global forest loss is driven by permanent deforestation for commodities and temporary disturbances like forestry and wildfire. To halt deforestation, companies must remove 5 million hectares of conversion from supply chains annually.

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Area of Science:

  • Environmental Science
  • Remote Sensing
  • Forestry

Background:

  • Global forest loss maps show disturbance scale but lack driver attribution.
  • Distinguishing permanent deforestation from temporary forest loss is crucial for conservation and policy.

Purpose of the Study:

  • To develop a forest loss classification model to attribute global forest disturbance to dominant drivers from 2001-2015.
  • To quantify the proportion of forest loss due to permanent land-use change (deforestation) versus temporary disturbances.

Main Methods:

  • Utilized satellite imagery to develop a classification model.
  • Analyzed spatial data to attribute forest loss to specific drivers: deforestation, forestry, shifting agriculture, and wildfire.

Main Results:

  • 27% of global forest loss from 2001-2015 was attributed to commodity-driven deforestation.
  • Temporary forest loss drivers included forestry (26%), shifting agriculture (24%), and wildfire (23%).
  • The rate of commodity-driven deforestation has not decreased despite corporate commitments.

Conclusions:

  • Ending deforestation requires companies to eliminate 5 million hectares of conversion from supply chains annually.
  • Accurate attribution of forest loss drivers is essential for effective forest management and policy interventions.
  • Continued monitoring and transparent reporting are necessary to track progress in reducing deforestation.