Integrating terrestrial laser scanning with functional-structural plant models to investigate ecological and evolutionary processes of forest communities.
| Autor: | O'Sullivan H; Department of Life Sciences, Imperial College London, Silwood Park, Ascot, Berkshire, SL5 7PY, UK.; Royal Botanic Gardens, Kew, Richmond, UK., Raumonen P; Mathematics, Tampere University, Korkeakoulunkatu 7, FI-33720 Tampere, Finland., Kaitaniemi P; Hyytiälä Forestry Field Station, Faculty of Agriculture and Forestry, University of Helsinki, Hyytiäläntie 124, FI-35500 Korkeakoski, Finland., Perttunen J; Natural Resources Institute Finland, Latokartanontie 9, 00790 Helsinki, Finland., Sievänen R; Långstrandintie 281, 10600 Tammisaari, Finland. |
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| Jazyk: | angličtina |
| Zdroj: | Annals of botany [Ann Bot] 2021 Oct 27; Vol. 128 (6), pp. 663-684. |
| DOI: | 10.1093/aob/mcab120 |
| Abstrakt: | Background: Woody plants (trees and shrubs) play an important role in terrestrial ecosystems, but their size and longevity make them difficult subjects for traditional experiments. In the last 20 years functional-structural plant models (FSPMs) have evolved: they consider the interplay between plant modular structure, the immediate environment and internal functioning. However, computational constraints and data deficiency have long been limiting factors in a broader application of FSPMs, particularly at the scale of forest communities. Recently, terrestrial laser scanning (TLS), has emerged as an invaluable tool for capturing the 3-D structure of forest communities, thus opening up exciting opportunities to explore and predict forest dynamics with FSPMs. Scope: The potential synergies between TLS-derived data and FSPMs have yet to be fully explored. Here, we summarize recent developments in FSPM and TLS research, with a specific focus on woody plants. We then evaluate the emerging opportunities for applying FSPMs in an ecological and evolutionary context, in light of TLS-derived data, with particular consideration of the challenges posed by scaling up from individual trees to whole forests. Finally, we propose guidelines for incorporating TLS data into the FSPM workflow to encourage overlap of practice amongst researchers. Conclusions: We conclude that TLS is a feasible tool to help shift FSPMs from an individual-level modelling technique to a community-level one. The ability to scan multiple trees, of multiple species, in a short amount of time, is paramount to gathering the detailed structural information required for parameterizing FSPMs for forest communities. Conventional techniques, such as repeated manual forest surveys, have their limitations in explaining the driving mechanisms behind observed patterns in 3-D forest structure and dynamics. Therefore, other techniques are valuable to explore how forests might respond to environmental change. A robust synthesis between TLS and FSPMs provides the opportunity to virtually explore the spatial and temporal dynamics of forest communities. (© The Author(s) 2021. Published by Oxford University Press on behalf of the Annals of Botany Company.) |
| Databáze: | MEDLINE |
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