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Related Experiment Video

Updated: Apr 11, 2026

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

Modeling cropland conversion for conservation prioritization across the United States.

Ciara Hovis¹, Jeffery S Evans^2,3, Clare Kazanski⁴

¹The Nature Conservancy, North America Region Science, Boulder, CO, USA. ciara.hovis@tnc.org.

Scientific Data

|April 9, 2026

Summary

This study maps U.S. areas likely to be converted for agriculture. The findings help prioritize conservation efforts in vulnerable ecosystems threatened by future cultivation and land use changes.

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Last Updated: Apr 11, 2026

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

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Published on: October 16, 2018

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Area of Science:

Environmental science
Conservation biology
Geospatial analysis

Background:

Understanding cropping patterns is vital for conserving vulnerable ecosystems.
Identifying areas prone to future cultivation is essential for proactive conservation planning.

Purpose of the Study:

To create a spatially explicit probability layer for the conterminous U.S. identifying areas with a high likelihood of future cropping.
To provide a baseline for prioritizing conservation in ecosystems at risk of agricultural conversion.

Main Methods:

Utilized key geophysical measures including climate, geomorphology, and soil data.
Developed a probability layer indicating the propensity for cultivation across the landscape.

Main Results:

Generated a detailed map highlighting areas with a high probability of future tilling.
Identified regions where conservation strategies are most critically needed due to potential agricultural expansion.

Conclusions:

The derived dataset serves as a crucial tool for researchers, land managers, and policymakers.
Integrating this geophysical data with socio-economic factors enables more effective conservation planning to mitigate land use impacts.