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Updated: May 12, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Land-use-driven stream warming in southeastern Amazonia.

Marcia N Macedo1, Michael T Coe, Ruth DeFries

  • 1Woods Hole Research Center, Falmouth, MA 02540, USA. mmacedo@whrc.org

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|April 24, 2013
PubMed
Summary
This summary is machine-generated.

Deforestation for agriculture in the Amazon raises stream temperatures, harming aquatic life. Restoring riparian buffers can significantly reduce this warming effect.

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Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
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Published on: November 13, 2017

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Last Updated: May 12, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
06:37

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

Area of Science:

  • Ecology
  • Environmental Science
  • Hydrology

Background:

  • Deforestation in the Amazon, driven by cattle and crop production, significantly impacts stream ecosystems.
  • Land-use changes alter stream connectivity, light and nutrient inputs, and water quality.

Purpose of the Study:

  • To quantify land-use transitions in the upper Xingu watershed.
  • To evaluate the influence of land management on streamwater temperature and its implications for habitat quality.

Main Methods:

  • Integration of field data from 12 catchments with satellite data for the 176,000 km(2) upper Xingu watershed.
  • Quantification of recent land-use transitions and analysis of factors influencing streamwater temperature.

Main Results:

  • Over 40% of non-protected catchments were dominated by agriculture by 2010, with ~10,000 impoundments in the upper Xingu.
  • Streams in pasture and soya bean watersheds were significantly warmer (4°C and 3°C higher average daily maxima, respectively) than those in forested watersheds.
  • Upstream impoundment density and riparian forest cover explained 43% of temperature variation.

Conclusions:

  • Agricultural expansion and associated management practices have likely increased headwater stream temperatures across the Xingu.
  • Conserving or restoring riparian buffers offers a potential mitigation strategy, capable of reducing predicted warming by up to fivefold.