Chronic Winds Reduce Tropical Forest Structural Complexity Regardless of Climate, Topography, or Forest Age
Author:
Funder
National Science Foundation
Svenska Forskningsrådet Formas
Publisher
Springer Science and Business Media LLC
Subject
Ecology,Environmental Chemistry,Ecology, Evolution, Behavior and Systematics
Link
https://link.springer.com/content/pdf/10.1007/s10021-024-00900-5.pdf
Reference93 articles.
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3. de Almeida DRA, Stark SC, Shao G, Schietti J, Nelson BW, Silva CA, Gorgens EB, Valbuena R, de Papa D, Brancalion PHS. 2019. Optimizing the remote detection of tropical rainforest structure with airborne lidar: leaf area profile sensitivity to pulse density and spatial sampling. Remote Sens 11:92.
4. Atkins JW, Bohrer G, Fahey RT, Hardiman BS, Morin TH, Stovall AEL, Zimmerman N, Gough CM. 2018a. Quantifying vegetation and canopy structural complexity from terrestrial LiDAR data using the forestr R package. Methods Ecol Evol 9:2057–2066.
5. Atkins JW, Bond-Lamberty B, Fahey RT, Haber LT, Stuart-Haëntjens E, Hardiman BS, LaRue E, McNeil BE, Orwig DA, Stovall AEL, Tallant JM, Walter JA, Gough CM. 2020. Application of multidimensional structural characterization to detect and describe moderate forest disturbance. Ecosphere 11:e03156.
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