Regional ecosystem structure and function: ecological insights from remote sensing of tropical forests
Abstract
Ecological studies in tropical forests have long been plagued by difficulties associated with sampling the crowns of large canopy trees and large inaccessible regions, such as the Amazon basin. Recent advances in remote sensing have overcome some of these obstacles, enabling progress towards tackling difficult ecological problems. Breakthroughs have helped transform the dialog between ecology and remote sensing, generating new regional perspectives on key environmental gradients and species assemblages with ecologically relevant measures such as canopy nutrient and moisture content, crown area, leaf-level drought responses, woody tissue and surface litter abundance, phenological patterns, and land-cover transitions. Issues that we address here include forest response to altered precipitation regimes, regional disturbance and land-use patterns, invasive species and landscape carbon balance.
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The Amazon and Nile river basins are two of the major river basins in the world.
“These areas represent two of the major river basins in the world thereby making them desirable locations for monitoring forests, logging, soil and water managements [40, 41], and thus are of great interest to the international community.”
From Satellite Constellation Pattern Optimization for Complex Regional Coverage (2020) · cites this paper as [40]
Cites
Determination of Deforestation Rates of the World's Humid Tropical Forests
Achard, F., Eva, H. D., Stibig, H.-J., Mayaux, P., Gallego, J., Richards, T., & Malingreau, J.-P. (2002) · Science · doi:10.1126/science.1070656 · Cited by 1,993 · see citing works
Cropland expansion changes deforestation dynamics in the southern Brazilian Amazon
Morton, D. C., DeFries, R. S., Shimabukuro, Y. E., Anderson, L. O., Arai, E., del Bon Espirito-Santo, F., Freitas, R., & Morisette, J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606377103 · Cited by 1,081 · see citing works
Self-citationValidation of surface height from shuttle radar topography mission using shuttle laser altimeter
Sun, G., Ranson, K. J., Kharuk, V. I., & Kovacs, K. (2003) · Remote Sensing of Environment · doi:10.1016/j.rse.2003.09.001 · Cited by 233 · see citing works
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Satellite Constellation Pattern Optimization for Complex Regional Coverage
Lee, H. W., Shimizu, S., Yoshikawa, S., & Ho, K. (2020) · Journal of Spacecraft and Rockets · doi:10.2514/1.a34657 · Cited by 59 · see citing works
- Authors
- Chambers, J. Q., Asner, G. P., Morton, D. C., Anderson, L. O., Saatchi, S. S., Espírito-Santo, F. D. B., Palace, M., & Souza, C.
- Affiliations
- Tulane University (US)
- Carnegie Institution for Science (US)
- University of Maryland, College Park (US)
- University of Oxford (GB)
- California Institute of Technology (US)
- University of New Hampshire (US)
- ORCID
- Venue
- Trends in Ecology & Evolution
- Publisher
- Elsevier BV
- Published
- 2007-08
- Volume
- 22
- Issue
- 8
- Pages
- 414-423
- ISSN
- 0169-5347 (ISSN-L)
- OpenAlex
- W2151342319
- Cited by
- 304
- References
- 3
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 11 · 2023: 20 · 2022: 8 · 2021: 6 · 2020: 22 · 2019: 17 · 2018: 16 · 2017: 14 · 2016: 28 · 2015: 19 · 2014: 25 · 2013: 17 · 2012: 19
- FWCI
- 1.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Trends in Ecology & Evolution (publishedVersion)
- PubMed (publishedVersion)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Physical Sciences › Environmental Science › Environmental Engineering › Remote Sensing and LiDAR Applications
- Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
- Keywords
- tropical forests, remote sensing of forests, crown area, surface litter, phenology, land cover change, precipitation regime change, land use change, invasive species
- MeSH terms
- Ecology, Humans, South America, Trees, Tropical Climate, Ecosystem
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