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Cusack DF, Christoffersen B, Smith-Martin CM, Andersen KM, Cordeiro AL, Fleischer K, Wright SJ, Guerrero-Ramírez NR, Lugli LF, McCulloch LA, Sanchez-Julia M, Batterman SA, Dallstream C, Fortunel C, Toro L, Fuchslueger L, Wong MY, Yaffar D, Fisher JB, Arnaud M, Dietterich LH, Addo-Danso SD, Valverde-Barrantes OJ, Weemstra M, Ng JC, Norby RJ. Toward a coordinated understanding of hydro-biogeochemical root functions in tropical forests for application in vegetation models. THE NEW PHYTOLOGIST 2024; 242:351-371. [PMID: 38416367 DOI: 10.1111/nph.19561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 01/10/2024] [Indexed: 02/29/2024]
Abstract
Tropical forest root characteristics and resource acquisition strategies are underrepresented in vegetation and global models, hampering the prediction of forest-climate feedbacks for these carbon-rich ecosystems. Lowland tropical forests often have globally unique combinations of high taxonomic and functional biodiversity, rainfall seasonality, and strongly weathered infertile soils, giving rise to distinct patterns in root traits and functions compared with higher latitude ecosystems. We provide a roadmap for integrating recent advances in our understanding of tropical forest belowground function into vegetation models, focusing on water and nutrient acquisition. We offer comparisons of recent advances in empirical and model understanding of root characteristics that represent important functional processes in tropical forests. We focus on: (1) fine-root strategies for soil resource exploration, (2) coupling and trade-offs in fine-root water vs nutrient acquisition, and (3) aboveground-belowground linkages in plant resource acquisition and use. We suggest avenues for representing these extremely diverse plant communities in computationally manageable and ecologically meaningful groups in models for linked aboveground-belowground hydro-nutrient functions. Tropical forests are undergoing warming, shifting rainfall regimes, and exacerbation of soil nutrient scarcity caused by elevated atmospheric CO2. The accurate model representation of tropical forest functions is crucial for understanding the interactions of this biome with the climate.
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Affiliation(s)
- Daniela F Cusack
- Department of Ecosystem Science and Sustainability, Warner College of Natural Resources, Colorado State University, 1231 Libbie Coy Way, A104, Fort Collins, CO, 80523-1476, USA
- Smithsonian Tropical Research Institute, Apartado, Balboa, 0843-03092, Panama
| | - Bradley Christoffersen
- School of Integrative Biological and Chemical Sciences, The University of Texas Rio Grande Valley, Edinburg, TX, 78539, USA
| | - Chris M Smith-Martin
- Department of Plant and Microbial Biology, University of Minnesota, St. Paul, MN, 55108, USA
| | | | - Amanda L Cordeiro
- Department of Ecosystem Science and Sustainability, Warner College of Natural Resources, Colorado State University, 1231 Libbie Coy Way, A104, Fort Collins, CO, 80523-1476, USA
- Smithsonian Tropical Research Institute, Apartado, Balboa, 0843-03092, Panama
| | - Katrin Fleischer
- Department Biogeochemical Signals, Max-Planck-Institute for Biogeochemistry, Hans-Knöll-Straße 10, Jena, 07745, Germany
| | - S Joseph Wright
- Smithsonian Tropical Research Institute, Apartado, Balboa, 0843-03092, Panama
| | - Nathaly R Guerrero-Ramírez
- Silviculture and Forest Ecology of Temperate Zones, Faculty of Forest Sciences and Forest Ecology, University of Göttingen, Gottingen, 37077, Germany
- Centre of Biodiversity and Sustainable Land Use (CBL), University of Göttingen, Gottingen, 37077, Germany
| | - Laynara F Lugli
- School of Life Sciences, Technical University of Munich, Freising, 85354, Germany
| | - Lindsay A McCulloch
- Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford St., Cambridge, MA, 02138, USA
- National Center for Atmospheric Research, National Oceanographic and Atmospheric Agency, 1850 Table Mesa Dr., Boulder, CO, 80305, USA
| | - Mareli Sanchez-Julia
- Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, LA, 70118, USA
| | - Sarah A Batterman
- Smithsonian Tropical Research Institute, Apartado, Balboa, 0843-03092, Panama
- Cary Institute of Ecosystem Studies, Millbrook, NY, 12545, USA
- School of Geography, University of Leeds, Leeds, LS2 9JT, UK
| | - Caroline Dallstream
- Department of Biology, McGill University, 1205 Av. du Docteur-Penfield, Montreal, QC, H3A 1B1, Canada
| | - Claire Fortunel
- AMAP (Botanique et Modélisation de l'Architecture des Plantes et des Végétations), Université de Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, 34398, France
| | - Laura Toro
- Yale Applied Science Synthesis Program, The Forest School at the Yale School of the Environment, Yale University, New Haven, CT, 06511, USA
| | - Lucia Fuchslueger
- Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, 1030, Austria
| | - Michelle Y Wong
- Cary Institute of Ecosystem Studies, Millbrook, NY, 12545, USA
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, 06511, USA
| | - Daniela Yaffar
- Functional Forest Ecology, Universität Hamburg, Barsbüttel, 22885, Germany
| | - Joshua B Fisher
- Schmid College of Science and Technology, Chapman University, 1 University Drive, Orange, CA, 92866, USA
| | - Marie Arnaud
- Institute of Ecology and Environmental Sciences (IEES), UMR 7618, CNRS-Sorbonne University-INRAE-UPEC-IRD, Paris, 75005, France
- School of Geography, Earth and Environmental Sciences & BIFOR, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Lee H Dietterich
- Department of Ecosystem Science and Sustainability, Warner College of Natural Resources, Colorado State University, 1231 Libbie Coy Way, A104, Fort Collins, CO, 80523-1476, USA
- U.S. Army Engineer Research and Development Center, Environmental Laboratory, Vicksburg, MS, 39180, USA
- Department of Biology, Haverford College, Haverford, PA, 19003, USA
| | - Shalom D Addo-Danso
- Forests and Climate Change Division, CSIR-Forestry Research Institute of Ghana, P.O Box UP 63 KNUST, Kumasi, Ghana
| | - Oscar J Valverde-Barrantes
- Department of Biological Sciences, International Center for Tropical Biodiversity, Florida International University, Miami, FL, 33199, USA
| | - Monique Weemstra
- Department of Biological Sciences, International Center for Tropical Biodiversity, Florida International University, Miami, FL, 33199, USA
| | - Jing Cheng Ng
- Nanyang Technological University, Singapore, 639798, Singapore
| | - Richard J Norby
- Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN, 37996, USA
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Cavender-Bares J, Schneider FD, Santos MJ, Armstrong A, Carnaval A, Dahlin KM, Fatoyinbo L, Hurtt GC, Schimel D, Townsend PA, Ustin SL, Wang Z, Wilson AM. Integrating remote sensing with ecology and evolution to advance biodiversity conservation. Nat Ecol Evol 2022; 6:506-519. [PMID: 35332280 DOI: 10.1038/s41559-022-01702-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 02/10/2022] [Indexed: 12/31/2022]
Abstract
Remote sensing has transformed the monitoring of life on Earth by revealing spatial and temporal dimensions of biological diversity through structural, compositional and functional measurements of ecosystems. Yet, many aspects of Earth's biodiversity are not directly quantified by reflected or emitted photons. Inclusive integration of remote sensing with field-based ecology and evolution is needed to fully understand and preserve Earth's biodiversity. In this Perspective, we argue that multiple data types are necessary for almost all draft targets set by the Convention on Biological Diversity. We examine five key topics in biodiversity science that can be advanced by integrating remote sensing with in situ data collection from field sampling, experiments and laboratory studies to benefit conservation. Lowering the barriers for bringing these approaches together will require global-scale collaboration.
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Affiliation(s)
| | - Fabian D Schneider
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
| | | | - Amanda Armstrong
- Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Ana Carnaval
- Department of Biology, Ph.D. Program in Biology, City University of New York and The Graduate Center of CUNY, New York City, NY, USA
| | - Kyla M Dahlin
- Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI, USA
| | - Lola Fatoyinbo
- Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - George C Hurtt
- Department of Geographical Sciences, University of Maryland, College Park, MD, USA
| | - David Schimel
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
| | - Philip A Townsend
- Department of Forest and Wildlife Ecology, Univ. of Wisconsin-Madison, Madison, WI, USA
| | - Susan L Ustin
- Department of Land, Air and Water Resources and the John Muir Institute of the Environment, University of California, Davis, CA, USA
| | - Zhihui Wang
- Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, China
| | - Adam M Wilson
- Department of Geography, University at Buffalo, Buffalo, NY, USA
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3
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Linking Remotely Sensed Carbon and Water Use Efficiencies with In Situ Soil Properties. REMOTE SENSING 2021. [DOI: 10.3390/rs13132593] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The capacity of terrestrial ecosystems to sequester carbon dioxide (CO2) from the atmosphere is expected to be altered by climate change and CO2 fertilization, but this projection is limited by our understanding of how the soil system interacts with plants. Understanding the soil–vegetation interactions is essential to assess the magnitude and response of terrestrial ecosystems to the changing climate. Here, we used soil profile and satellite data to explore the role that soil properties play in regulating water and carbon use by plants. Data obtained for 19 terrestrial ecosystem sites in a warm temperate and humid climate were used to investigate the relationship between remotely sensed data and soil physical and chemical properties. Classification and regression tree results showed that in situ soil carbon isotope (δ13C), and soil order were significant predictors (r2 = 0.39, mean absolute error (MAE) = 0 of 0.175 gC/KgH2O) of remotely sensed water use efficiency (WUE) based on the Moderate Resolution Imaging Spectroradiometer (MODIS). Soil extractable calcium (Ca), and land cover type were significant predictors of remotely sensed carbon use efficiency (CUE) based on MODIS and Landsat data-(r2 = 0.64–0.78, MAE = 0.04–0.06). We used gross primary productivity (GPP) derived from solar-induced fluorescence (SIF) data, based on the Orbiting Carbon Observatory-2 (OCO-2), to calculate WUE and CUE (referred to as WUESIF and CUESIF, respectively) for our study sites. The regression tree analysis revealed that soil organic matter and soil extractable magnesium (Mg), δ13C, and soil silt content were the important predictors of both WUESIF (r2 = 0.19, MAE = 0.64 gC/KgH2O) and CUESIF (r2 = 0.45, MAE = 0.1), respectively. Our results revealed the importance of soil extractable Ca, soil carbon (S13C is a facet of soil carbon content), and soil organic matter predicting CUE and WUE. Insights gained from this study highlighted the importance of biotic and abiotic factors regulating plant and soil interactions. These types of data are timely and critical for accurate predictions of how terrestrial ecosystems respond to climate change.
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