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Shifts in structural diversity of Amazonian forest edges detected using terrestrial laser scanning

Eduardo Eiji Maeda, Matheus Henrique Nunes, Kim Calders (UGent) , Yhasmin Mendes de Moura, Pasi Raumonen, Hanna Tuomisto, Philippe Verley, Gregoire Vincent, Gabriela Zuquim and José Luís Camargo
(2022) REMOTE SENSING OF ENVIRONMENT. 271.
Author
Organization
Project
  • 3D-FOGROD (Understanding forest growth dynamics using novel 3D measurements and modelling approaches)
Abstract
Forest edges are an increasingly common feature of Amazonian landscapes due to human-induced forest frag-mentation. Substantial evidence shows that edge effects cause profound changes in forest biodiversity and productivity. However, the broader impacts of edge effects on ecosystem functioning remain unclear. Assessing the three-dimensional arrangement of forest elements has the potential to unveil structural traits that are scalable and closely linked to important functional characteristics of the forest. Using over 600 high-resolution terrestrial laser scanning measurements, we present a detailed assessment of forest structural metrics linked to ecosystem processes such as energy harvesting and light use efficiency. Our results show a persistent change in forest structural characteristics along the edges of forest fragments, which resulted in a significantly lower structural diversity, in comparison with the interior of the forest fragments. These structural changes could be observed up to 35 m from the forest edges and are likely to reflect even deeper impacts on other ecosystem variables such as microclimate and biodiversity. Traits related to vertical plant material allocation were more affected than traits related to canopy height. We demonstrate a divergent response from the forest understory (higher vegetation density close to the edge) and the upper canopy (lower vegetation density close to the edge), indicating that assessing forest disturbances using vertically integrated metrics, such as total plant area index, can lead to an erroneous interpretation of no change. Our results demonstrate the strong potential of terrestrial laser scanning for benchmarking broader-scale (e.g. airborne and space-borne) remote sensing assessments of forest distur-bances, as well as to provide a more robust interpretation of biophysical changes detected at coarser resolutions.
Keywords
Computers in Earth Sciences, Geology, Soil Science, cavelab, Forest fragmentation, Tropical forests, LiDAR, Structural traits, TROPICAL FOREST, LEAF-AREA, AIRBORNE LIDAR, RAIN-FOREST, FRAGMENTS, DENSITY, BIOMASS, MICROCLIMATE, LIGHT, INDEX

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Citation

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MLA
Maeda, Eduardo Eiji, et al. “Shifts in Structural Diversity of Amazonian Forest Edges Detected Using Terrestrial Laser Scanning.” REMOTE SENSING OF ENVIRONMENT, vol. 271, 2022, doi:10.1016/j.rse.2022.112895.
APA
Maeda, E. E., Nunes, M. H., Calders, K., Moura, Y. M. de, Raumonen, P., Tuomisto, H., … Camargo, J. L. (2022). Shifts in structural diversity of Amazonian forest edges detected using terrestrial laser scanning. REMOTE SENSING OF ENVIRONMENT, 271. https://doi.org/10.1016/j.rse.2022.112895
Chicago author-date
Maeda, Eduardo Eiji, Matheus Henrique Nunes, Kim Calders, Yhasmin Mendes de Moura, Pasi Raumonen, Hanna Tuomisto, Philippe Verley, Gregoire Vincent, Gabriela Zuquim, and José Luís Camargo. 2022. “Shifts in Structural Diversity of Amazonian Forest Edges Detected Using Terrestrial Laser Scanning.” REMOTE SENSING OF ENVIRONMENT 271. https://doi.org/10.1016/j.rse.2022.112895.
Chicago author-date (all authors)
Maeda, Eduardo Eiji, Matheus Henrique Nunes, Kim Calders, Yhasmin Mendes de Moura, Pasi Raumonen, Hanna Tuomisto, Philippe Verley, Gregoire Vincent, Gabriela Zuquim, and José Luís Camargo. 2022. “Shifts in Structural Diversity of Amazonian Forest Edges Detected Using Terrestrial Laser Scanning.” REMOTE SENSING OF ENVIRONMENT 271. doi:10.1016/j.rse.2022.112895.
Vancouver
1.
Maeda EE, Nunes MH, Calders K, Moura YM de, Raumonen P, Tuomisto H, et al. Shifts in structural diversity of Amazonian forest edges detected using terrestrial laser scanning. REMOTE SENSING OF ENVIRONMENT. 2022;271.
IEEE
[1]
E. E. Maeda et al., “Shifts in structural diversity of Amazonian forest edges detected using terrestrial laser scanning,” REMOTE SENSING OF ENVIRONMENT, vol. 271, 2022.
@article{8734818,
  abstract     = {{Forest edges are an increasingly common feature of Amazonian landscapes due to human-induced forest frag-mentation. Substantial evidence shows that edge effects cause profound changes in forest biodiversity and productivity. However, the broader impacts of edge effects on ecosystem functioning remain unclear. Assessing the three-dimensional arrangement of forest elements has the potential to unveil structural traits that are scalable and closely linked to important functional characteristics of the forest. Using over 600 high-resolution terrestrial laser scanning measurements, we present a detailed assessment of forest structural metrics linked to ecosystem processes such as energy harvesting and light use efficiency. Our results show a persistent change in forest structural characteristics along the edges of forest fragments, which resulted in a significantly lower structural diversity, in comparison with the interior of the forest fragments. These structural changes could be observed up to 35 m from the forest edges and are likely to reflect even deeper impacts on other ecosystem variables such as microclimate and biodiversity. Traits related to vertical plant material allocation were more affected than traits related to canopy height. We demonstrate a divergent response from the forest understory (higher vegetation density close to the edge) and the upper canopy (lower vegetation density close to the edge), indicating that assessing forest disturbances using vertically integrated metrics, such as total plant area index, can lead to an erroneous interpretation of no change. Our results demonstrate the strong potential of terrestrial laser scanning for benchmarking broader-scale (e.g. airborne and space-borne) remote sensing assessments of forest distur-bances, as well as to provide a more robust interpretation of biophysical changes detected at coarser resolutions.}},
  articleno    = {{112895}},
  author       = {{Maeda, Eduardo Eiji and Nunes, Matheus Henrique and Calders, Kim and Moura, Yhasmin Mendes de and Raumonen, Pasi and Tuomisto, Hanna and Verley, Philippe and Vincent, Gregoire and Zuquim, Gabriela and Camargo, José Luís}},
  issn         = {{0034-4257}},
  journal      = {{REMOTE SENSING OF ENVIRONMENT}},
  keywords     = {{Computers in Earth Sciences,Geology,Soil Science,cavelab,Forest fragmentation,Tropical forests,LiDAR,Structural traits,TROPICAL FOREST,LEAF-AREA,AIRBORNE LIDAR,RAIN-FOREST,FRAGMENTS,DENSITY,BIOMASS,MICROCLIMATE,LIGHT,INDEX}},
  language     = {{eng}},
  pages        = {{11}},
  title        = {{Shifts in structural diversity of Amazonian forest edges detected using terrestrial laser scanning}},
  url          = {{http://doi.org/10.1016/j.rse.2022.112895}},
  volume       = {{271}},
  year         = {{2022}},
}
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