Complex canopy structures control tree transpiration: A study based on 3D modelling in a tropical rainforest

Author:

Röll Alexander12ORCID,Kang Tongming1,Hahn Peter1ORCID,Ahongshangbam Joyson13,Ellsäßer Florian14,Hendrayanto 5,Sharma Puja16,Wintz Thorge1,Hölscher Dirk17

Affiliation:

1. Tropical Silviculture and Forest Ecology University of Göttingen Göttingen Germany

2. Horticultural Sciences, Institute for Crop Science and Resource Conservation University of Bonn Bonn Germany

3. Institute for Atmospheric and Earth System Research University of Helsinki Helsinki Finland

4. Department for Natural Resources University of Twente, ITC Enschede the Netherlands

5. Forest Management Department Bogor Agricultural University Bogor Indonesia

6. Department of Biological Sciences University of Notre Dame Notre Dame Indiana USA

7. Centre of Biodiversity and Sustainable Land Use University of Göttingen Göttingen Germany

Abstract

AbstractTropical rainforests are rich in tree species and comprise complex canopy structures. Transpiration by forest trees is a major hydrological flux which contributes to climate regulation. We explored the role of forest canopy structure on tree transpiration in a tropical rainforest on Sumatra, Indonesia. Drone‐based photogrammetry and the structure from motion technique were used to compute high‐resolution 3D point clouds and derive forest and tree structural variables. Transpiration of differently sized and vertically positioned trees was assessed with sap flux measurements. Per‐tree transpiration rates increased linearly with several variables related to crown dimension and were further enhanced by top‐heavy crown shape, dense leafage and increasing canopy openness as assessed with the gap light index. Under given environmental conditions, the two variables crown volume and top‐heaviness explained 74% of the observed variance in per‐tree transpiration. Transpiration rates per unit crown dimension were highest for small crowns, decreased non‐linearly with increasing crown dimension and were little affected by other analysed structural variables. Our study underlines the potential of 3D point cloud analyses for accurately determining the structure of complex forest canopies and thus better understanding and predicting transpiration rates of differently positioned trees.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Water Science and Technology

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