Acebron, Kelvin Tuazon

Albert, Loren

Braun, Emmelia J.

Detto, Matteo

Garcia, Maquelle Neves

McMahon, Sean M.

Prikaziuk, E.

Southwick, Charles D.

van der Tol, C.

Vasquez, Vicente

English

Tropical forests, as the largest terrestrial carbon sink and a hub for biodiversity, are crucial in predicting the course of climate change. However, the response of these forests to changing climate varies across space and time, affecting demographic species composition and vulnerability. Species-specific strategies and environmental heterogeneity contribute to these differences, making it challenging to model the relationship between species, strategies, climate, and carbon cycling across diverse tropical forests. We used the Soil-Canopy Observation, Photochemistry, and Energy (SCOPE) model to investigate the temporal dynamics of photosynthesis, transpiration, and energy fluxes of plant functional types based on data of selected tree species on Barro Colorado Island (BCI) in Panama. For model inputs, we collected leaf traits such as leaf pigments (total chlorophylls (Chla+b), carotenoids and anthocyanin), maximum carboxylation efficiency (Vcmax), leaf mass per area (LMA) and dry matter content. Furthermore, we used five years of meteorological data from BCI to extend the temporal scope of our simulations. Our simulations revealed seasonal variation in water and light-use efficiencies, emphasizing the importance of studying resource strategies of tree species to predict tropical forests’ response to climate change.The SCOPE model output is a promising tool for interpreting global patterns of optical signals in pantropical forests, inferring changes in ecosystem functions, and predicting the impact of climate change on these forests at a global scale. Our study provides insights into establishing causal models and identifying leaf-to-landscape predictors for the vulnerability of tropical forests under temperature and vapor pressure deficit stress. As a next step, we aim to use species-specific model configuration and link the results of simulation with the ForestGEO inventory plot to estimate carbon fluxes at larger scales. This will enable us to better understand the complex interplay between species composition and demography as a response to drought stress

University of Twente Research Information

“Challenges on estimating ecosystem functions”Remote Sensing ApplicationsSpecies leaf traits and cluster analysis CO2 and H2O Fluxes (eddy covariance)• Solar-induced fluorescence (OCO-3 + TROPOMI) • Evapotranspiration (ECOSTRESS) • Plant traits (DESIS) • Vegetation structure (GEDI)SCOPE model• Scales • Partitioning (environ. & physiology)Gross Primary Productivity (GPP) simulation Using the radiative-transfer SCOPE model to predict the vulnerability of tropical forest to changing climateKelvin Acebron1, Sean McMahon1, Maquelle Garcia2, Charles Southwick3, Emmy Braun3, Matteo Detto4, Vicente Vasquez5, Egor Prikaziuk6, Christiaan van der Tol6 and Loren Albert2Outputs:  • Photosynthesis • Reflectance & fluorescence • Heat (transpiration)Hypothesis: Ecosystem water-use efficiency increases during dry season in the tropical forest.Main Challenges:1Quantitative Ecology, Smithsonian Environmental Research Center, Edgewater, MD, USA, 21037, 2Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA 97331, 3Department of Biology, West Virginia University, Morgantown, WV, USA 26506, 4Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA, 5Smithsonian Tropical Research Institute, Balboa, Panama, 6Faculty of Geo-Information Science and Earth Observation (ITC) University of Twente, The Netherlands • Pigments (chlorophyll, carotenoid, anthocyanin) • Max. rate of carboxylation • Leaf mass areaSeasonCausal inferenceAbout the author

Using the radiative-transfer SCOPE model to predict the vulnerability of tropical forests to changing climate

https://ris.utwente.nl/ws/files/317045541/Poster_Acebron_3_42_145_35.pdf

Using the radiative-transfer SCOPE model to predict the vulnerability of tropical forests to changing climate

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