Quantifying micro-environmental variation in tropical rainforest understory at landscape scale by combining airborne LiDAR scanning and a sensor network

Autor: Grégoire Vincent, Elodie A. Courtois, Jérôme Chave, Jean Dauzat, Blaise Tymen, Isabelle Maréchaux, Julien Heurtebize
Přispěvatelé: Evolution et Diversité Biologique (EDB), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Institut de Recherche pour le Développement (IRD), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Lumière du jour
0106 biological sciences
Canopy
010504 meteorology & atmospheric sciences
Light
Sous-bois
Plant dynamics
Atmospheric sciences
[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics
Phylogenetics and taxonomy
01 natural sciences
Faune et flore sauvages
K01 - Foresterie - Considérations générales
Dynamique des populations
Forêt tropicale humide
Ecology
Temperature
Forestry
Humidité relative
Understory
[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics
French Guiana
Lidar
Forêt
Écosystème forestier
Écosystème
F40 - Écologie végétale
Nouragues station
Télédétection
Forest management
Laser
010603 evolutionary biology
[SDV.EE.ECO]Life Sciences [q-bio]/Ecology
environment/Ecosystems
medicine
Relative humidity
Biology
0105 earth and related environmental sciences
Régénération naturelle
15. Life on land
Seasonality
Température
medicine.disease
Environmental science
Spatial variability
U30 - Méthodes de recherche
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
Tropical rainforest
Zdroj: Annals of Forest Science
Annals of Forest Science, Springer Nature (since 2011)/EDP Science (until 2010), 2017, 74 (2), ⟨10.1007/s13595-017-0628-z⟩
Annals of forest science
Annals of Forest Science, Springer Verlag/EDP Sciences, 2017, 74 (2), ⟨10.1007/s13595-017-0628-z⟩
ISSN: 1286-4560
1297-966X
DOI: 10.1007/s13595-017-0628-z⟩
Popis: International audience; We combined aerial LiDAR and ground sensors to map the spatial variation in micro-environmental variables of the tropical forest understory. We show that these metrics depend on forest type and proximity to canopy gaps. Our study has implications for the study of natural forest regeneration.Context: Light impacts seedling dynamics and animals, either directly or through their effect on air temperature and relative humidity. However, the micro-environment of tropical forest understories is heterogeneous.Aims: We explored whether aerial laser scanning (LiDAR) can describe short-scale micro-environmental variables. We also studied the determinants of their spatial and intra-annual variation.Methods : We used a small-footprint LiDAR coverage combined with data obtained from 47 environmental sensors monitoring continuously understory light, moisture and temperature during 1 year over the area. We developed and tested two models relating micro-environmental conditions to LiDAR metrics.Results: We found that a volume-based model predicts empirical light fluxes better than a model based on the proportion of the LiDAR signal reaching the ground. Understory field sensors measured an average daily light flux between 2.9 and 4.7% of full sunlight. Relative seasonal variation was comparable in the understory and in clearings. In canopy gaps, light flux was 4.3 times higher, maximal temperature 15% higher and minimal relative humidity 25% lower than in the forest understory. We found consistent micro-environmental differences among forest types.Conclusions: LiDAR coverage improves the fine-scale description of micro-environmental variables of tropical forest understories. This opens avenues for modelling the distribution and dynamics of animal and plant populations.
Databáze: OpenAIRE
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