The Laboratory for Remote Sensing and Environmental Change (LRSEC)
The Laboratory for Remote Sensing and Environmental Change (LRSEC)
An Interdisciplinary Research Group Using Remote Sensing and Geospatial Science to Understand Landscape Change
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    • Dr. Gang Chen
    • Chenyu Xing
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Latest News in LRSEC

  • Welcome Austin Barbee to join LRSEC October 3, 2024
  • Welcome Justin Erlick to join the lab September 16, 2024
  • Welcome Rachel to join the lab March 21, 2024

Contact Lab Director

Dr. Gang Chen
Address: McEniry 446, 9201 University City Blvd, Charlotte, NC 28223, USA (35°18'26"N 80°43'48"W)
Email: Gang.Chen 'at' charlotte.edu

Links

  • Department of Earth, Environmental and Geographical Sciences
  • College of Humanities & Earth and Social Sciences
  • University of North Carolina at Charlotte

New article published in Environmental Research Letters (ERL)

August 02, 2022 by Gang Chen
Categories: Updates

A new article led by Sam Nickerson, a former MA student of the lab has been published in an open-access journal ERL with a high impact factor 6.947.

Nickerson, S., Chen, G., Fearnside, P.M., Allan, C.J., Hu, T., de Carvalho, L.M.T., & Zhao, K. (2022). Forest loss is significantly higher near clustered small dams than single large dams per megawatt of hydroelectricity installed in the Brazilian Amazon. Environmental Research Letters, 17, 084026.

Abstract

Hydropower in the Brazilian Amazon is a prevalent form of development, but dams have widespread and long-term environmental impacts that include deforestation in the areas surrounding the dams. Small hydropower plants (SHPs) are often perceived as having reduced environmental impacts compared to the large ones. In Brazil, SHPs are licensed by state governments, which have less strict requirements than the federal environmental agency. Brazil’s definition of ‘small’ dams has grown with successive increases in the maximum installed capacity from 10 to 30 to 50 megawatts (MW). This expanding loophole has increased the attractiveness of investing in multiple small dams rather than a single large dam, with resulting proliferation of SHPs. Forest dynamics surrounding the clustered SHPs when compared to single large dams are not well documented. In this study, we capitalized on a dense time series of satellite images to quantify and compare forest loss in the regions (over 110 000 km2 in area) surrounding 15 SHPs and 7 large dams at multiple watershed and buffer scales in the Brazilian Amazon for nearly two decades (2000–2018). The landscapes containing SHP clusters had lower cumulative forest loss as compared to those with large dams. However, when deforestation and hydroelectric generating capacity were jointly considered (i.e. forest loss per megawatt installed), we discovered an opposite trend. The regions surrounding the SHP clusters exhibited significant impacts ranging from 1.9 to 2.5 times that of the regions surrounding large dams across 5 km to sub-basin scales. Due to the considerable consequences of SHPs on deforestation, we argue that the rapid expansion of small hydropower should be approached with caution and requires more stringent environmental assessments.

Copyright © 2012-2025 Gang Chen, University of North Carolina at Charlotte. All rights reserved.
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