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Integrating high resolution drone imagery and forest inventory to distinguish canopy and understory trees and quantify their contributions to forest structure and dynamics

Araujo, Raquel Fernandes ; Chambers, Jeffrey Q ; Celes, Carlos Henrique Souza ; Muller-Landau, Helene C ; Santos, Ana Paula Ferreira Dos ; Emmert, Fabiano ; Ribeiro, Gabriel H P M ; Gimenez, Bruno Oliva ; Lima, Adriano J N ; Campos, Moacir A A ; Higuchi, Niro Müllerová, Jana

PloS one, 2020-12, Vol.15 (12), p.e0243079-e0243079 [Periódico revisado por pares]

United States: Public Library of Science

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Título:
Integrating high resolution drone imagery and forest inventory to distinguish canopy and understory trees and quantify their contributions to forest structure and dynamics
Autor: Araujo, Raquel Fernandes ; Chambers, Jeffrey Q ; Celes, Carlos Henrique Souza ; Muller-Landau, Helene C ; Santos, Ana Paula Ferreira Dos ; Emmert, Fabiano ; Ribeiro, Gabriel H P M ; Gimenez, Bruno Oliva ; Lima, Adriano J N ; Campos, Moacir A A ; Higuchi, Niro
Müllerová, Jana
Assuntos: Biology and Life Sciences ; Canopies ; Carbon ; Census ; Conservation of Natural Resources - methods ; Diameters ; Digital cameras ; Drone aircraft ; Drones ; Dynamic structural analysis ; Ecology and Environmental Sciences ; Engineering and Technology ; Environment ; Environmental research ; Forest dynamics ; Forests ; Growth rate ; Herbivores ; High resolution ; Image Processing, Computer-Assisted ; Image resolution ; Metabolism ; Models, Theoretical ; Observations ; Old growth ; Productivity ; Rainforests ; Remote sensing ; Remote Sensing Technology - instrumentation ; Remotely piloted aircraft ; Research and Analysis Methods ; Size distribution ; Statistical analysis ; Technology application ; Tree growth ; Trees ; Trees - growth & development ; Tropical Climate ; Tropical forests ; Understory ; Unmanned aerial vehicles ; Weibull distribution
É parte de: PloS one, 2020-12, Vol.15 (12), p.e0243079-e0243079
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Competing Interests: The authors have declared that no competing interests exist.
Descrição: Tree growth and survival differ strongly between canopy trees (those directly exposed to overhead light), and understory trees. However, the structural complexity of many tropical forests makes it difficult to determine canopy positions. The integration of remote sensing and ground-based data enables this determination and measurements of how canopy and understory trees differ in structure and dynamics. Here we analyzed 2 cm resolution RGB imagery collected by a Remotely Piloted Aircraft System (RPAS), also known as drone, together with two decades of bi-annual tree censuses for 2 ha of old growth forest in the Central Amazon. We delineated all crowns visible in the imagery and linked each crown to a tagged stem through field work. Canopy trees constituted 40% of the 1244 inventoried trees with diameter at breast height (DBH) > 10 cm, and accounted for ~70% of aboveground carbon stocks and wood productivity. The probability of being in the canopy increased logistically with tree diameter, passing through 50% at 23.5 cm DBH. Diameter growth was on average twice as large in canopy trees as in understory trees. Growth rates were unrelated to diameter in canopy trees and positively related to diameter in understory trees, consistent with the idea that light availability increases with diameter in the understory but not the canopy. The whole stand size distribution was best fit by a Weibull distribution, whereas the separate size distributions of understory trees or canopy trees > 25 cm DBH were equally well fit by exponential and Weibull distributions, consistent with mechanistic forest models. The identification and field mapping of crowns seen in a high resolution orthomosaic revealed new patterns in the structure and dynamics of trees of canopy vs. understory at this site, demonstrating the value of traditional tree censuses with drone remote sensing.
Editor: United States: Public Library of Science
Idioma: Inglês

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Integrating high resolution drone imagery and forest inventory to distinguish canopy and understory trees and quantify their contributions to forest structure and dynamics

Araujo, Raquel Fernandes ; Chambers, Jeffrey Q ; Celes, Carlos Henrique Souza ; Muller-Landau, Helene C ; Santos, Ana Paula Ferreira Dos ; Emmert, Fabiano ; Ribeiro, Gabriel H P M ; Gimenez, Bruno Oliva ; Lima, Adriano J N ; Campos, Moacir A A ; Higuchi, Niro Müllerová, Jana

United States: Public Library of Science

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