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Holland R, Castro G, Chavana-Bryant C, Levy R, Moat J, Robson T, Wilkinson T, Wilkes P, Yang W, Disney M. Giant sequoia ( Sequoiadendron giganteum) in the UK: carbon storage potential and growth rates. R Soc Open Sci 2024; 11:230603. [PMID: 38481981 PMCID: PMC10933539 DOI: 10.1098/rsos.230603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/21/2023] [Accepted: 02/13/2024] [Indexed: 04/26/2024]
Abstract
Giant sequoias (Sequoiadendron giganteum) are some of the UK's largest trees, despite only being introduced in the mid-nineteenth century. There are an estimated half a million giant sequoias and closely related coastal redwoods (Sequoia sempervirens) in the UK. Given the recent interest in planting more trees, partly due to their carbon sequestration potential and also their undoubted public appeal, an understanding of their growth capability is important. However, little is known about their growth and carbon uptake under UK conditions. Here, we focus on S. giganteum and use three-dimensional terrestrial laser scanning to perform detailed structural measurements of 97 individuals at three sites covering a range of different conditions, to estimate aboveground biomass (AGB) and annual biomass accumulation rates. We show that UK-grown S. giganteum can sequester carbon at a rate of 85 kg yr-1, varying with climate, management and age. We develop new UK-specific allometric models for S. giganteum that fit the observed AGB with r 2 > 0.93 and bias < 2% and can be used to estimate S. giganteum biomass more generally. This study provides the first estimate of the growth and carbon sequestration of UK open-grown S. giganteum and provides a baseline for estimating their longer-term carbon sequestration capacity.
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Affiliation(s)
- Ross Holland
- East Point Geo, Ashgrove House, Monument Park, ChalgroveOX44 7RW, UK
- Department of Geography, University College London, Gower Street, LondonWC1E 6BT, UK
| | | | | | - Ron Levy
- Independent Researcher, RayleighSS6 9HB, UK
| | - Justin Moat
- Royal Botanic Gardens, Kew, RichmondTW9 3AE, UK
| | | | | | - Phil Wilkes
- Department of Geography, University College London, Gower Street, LondonWC1E 6BT, UK
- Department of Geography, NERC NCEO, University College London, Gower Street, LondonWC1E 6BT, UK
| | - Wanxin Yang
- Department of Geography, University College London, Gower Street, LondonWC1E 6BT, UK
- Department of Geography, NERC NCEO, University College London, Gower Street, LondonWC1E 6BT, UK
| | - Mathias Disney
- Department of Geography, University College London, Gower Street, LondonWC1E 6BT, UK
- Department of Geography, NERC NCEO, University College London, Gower Street, LondonWC1E 6BT, UK
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2
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Matas‐Granados L, Draper FC, Cayuela L, de Aledo JG, Arellano G, Saadi CB, Baker TR, Phillips OL, Honorio Coronado EN, Ruokolainen K, García‐Villacorta R, Roucoux KH, Guèze M, Sandoval EV, Fine PVA, Amasifuen Guerra CA, Gomez RZ, Stevenson Diaz PR, Monteagudo‐Mendoza A, Martinez RV, Socolar JB, Disney M, del Aguila Pasquel J, Llampazo GF, Arenas JV, Huaymacari JR, Grandez Rios JM, Macía MJ. Understanding different dominance patterns in western Amazonian forests. Ecol Lett 2024; 27:e14351. [PMID: 38111128 PMCID: PMC10952671 DOI: 10.1111/ele.14351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 11/20/2023] [Accepted: 11/23/2023] [Indexed: 12/20/2023]
Abstract
Dominance of neotropical tree communities by a few species is widely documented, but dominant trees show a variety of distributional patterns still poorly understood. Here, we used 503 forest inventory plots (93,719 individuals ≥2.5 cm diameter, 2609 species) to explore the relationships between local abundance, regional frequency and spatial aggregation of dominant species in four main habitat types in western Amazonia. Although the abundance-occupancy relationship is positive for the full dataset, we found that among dominant Amazonian tree species, there is a strong negative relationship between local abundance and regional frequency and/or spatial aggregation across habitat types. Our findings suggest an ecological trade-off whereby dominant species can be locally abundant (local dominants) or regionally widespread (widespread dominants), but rarely both (oligarchs). Given the importance of dominant species as drivers of diversity and ecosystem functioning, unravelling different dominance patterns is a research priority to direct conservation efforts in Amazonian forests.
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Affiliation(s)
- Laura Matas‐Granados
- Departamento de Biología, Área de BotánicaUniversidad Autónoma de MadridMadridSpain
- Centro de Investigación en Biodiversidad y Cambio Global (CIBC‐UAM)Universidad Autónoma de MadridMadridSpain
| | - Frederick C. Draper
- School of Geography and PlanningUniversity of LiverpoolLiverpoolUK
- School of GeographyUniversity of LeedsLeedsUK
| | - Luis Cayuela
- Departamento de Biología y Geología, Física y Química InorgánicaUniversidad Rey Juan Carlos, MóstolesMadridSpain
| | - Julia G. de Aledo
- Departamento de Biología, Área de BotánicaUniversidad Autónoma de MadridMadridSpain
- Centro de Investigación en Biodiversidad y Cambio Global (CIBC‐UAM)Universidad Autónoma de MadridMadridSpain
- Departamento de Biología y Geología, Física y Química InorgánicaUniversidad Rey Juan Carlos, MóstolesMadridSpain
| | - Gabriel Arellano
- Ecology and Evolutionary BiologyUniversity of MichiganAnn ArborMichiganUSA
- Oikobit LLC, www.oikobit.comAlbuquerqueNew MexicoUSA
| | - Celina Ben Saadi
- Departamento de Biología, Área de BotánicaUniversidad Autónoma de MadridMadridSpain
| | | | | | | | | | - Roosevelt García‐Villacorta
- Programa Restauración de Ecosistemas (PRE)Centro de Innovación Científica Amazónica (CINCIA)Puerto MaldonadoTambopata, Madre de DiosPeru
- Peruvian Center for Biodiversity and Conservation (PCBC)IquitosLoretoPeru
| | - Katherine H. Roucoux
- School of Geography & Sustainable DevelopmentUniversity of St AndrewsSt AndrewsUK
| | | | | | - Paul V. A. Fine
- Department of Integrative BiologyUniversity of California BerkeleyBerkeleyCaliforniaUSA
| | - Carlos A. Amasifuen Guerra
- Escuela de Ingeniería Forestal, Facultad de Ingeniería y Ciencias AgrariasUniversidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM)ChachapoyasPeru
| | | | | | | | | | | | - Mathias Disney
- Department of GeographyUniversity College LondonLondonUK
| | - Jhon del Aguila Pasquel
- Instituto de Investigaciones de la Amazonía PeruanaIquitosPeru
- Universidad Nacional de la Amazonia PeruanaIquitosPeru
| | | | - Jim Vega Arenas
- Facultad de Ciencias BiológicasUniversidad Nacional de la Amazonía PeruanaIquitosPeru
| | | | | | - Manuel J. Macía
- Departamento de Biología, Área de BotánicaUniversidad Autónoma de MadridMadridSpain
- Centro de Investigación en Biodiversidad y Cambio Global (CIBC‐UAM)Universidad Autónoma de MadridMadridSpain
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3
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Tavares JV, Oliveira RS, Mencuccini M, Signori-Müller C, Pereira L, Diniz FC, Gilpin M, Marca Zevallos MJ, Salas Yupayccana CA, Acosta M, Pérez Mullisaca FM, Barros FDV, Bittencourt P, Jancoski H, Scalon MC, Marimon BS, Oliveras Menor I, Marimon BH, Fancourt M, Chambers-Ostler A, Esquivel-Muelbert A, Rowland L, Meir P, Lola da Costa AC, Nina A, Sanchez JMB, Tintaya JS, Chino RSC, Baca J, Fernandes L, Cumapa ERM, Santos JAR, Teixeira R, Tello L, Ugarteche MTM, Cuellar GA, Martinez F, Araujo-Murakami A, Almeida E, da Cruz WJA, Del Aguila Pasquel J, Aragāo L, Baker TR, de Camargo PB, Brienen R, Castro W, Ribeiro SC, Coelho de Souza F, Cosio EG, Davila Cardozo N, da Costa Silva R, Disney M, Espejo JS, Feldpausch TR, Ferreira L, Giacomin L, Higuchi N, Hirota M, Honorio E, Huaraca Huasco W, Lewis S, Flores Llampazo G, Malhi Y, Monteagudo Mendoza A, Morandi P, Chama Moscoso V, Muscarella R, Penha D, Rocha MC, Rodrigues G, Ruschel AR, Salinas N, Schlickmann M, Silveira M, Talbot J, Vásquez R, Vedovato L, Vieira SA, Phillips OL, Gloor E, Galbraith DR. Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests. Nature 2023; 617:111-117. [PMID: 37100901 PMCID: PMC10156596 DOI: 10.1038/s41586-023-05971-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 03/17/2023] [Indexed: 04/28/2023]
Abstract
Tropical forests face increasing climate risk1,2, yet our ability to predict their response to climate change is limited by poor understanding of their resistance to water stress. Although xylem embolism resistance thresholds (for example, [Formula: see text]50) and hydraulic safety margins (for example, HSM50) are important predictors of drought-induced mortality risk3-5, little is known about how these vary across Earth's largest tropical forest. Here, we present a pan-Amazon, fully standardized hydraulic traits dataset and use it to assess regional variation in drought sensitivity and hydraulic trait ability to predict species distributions and long-term forest biomass accumulation. Parameters [Formula: see text]50 and HSM50 vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both [Formula: see text]50 and HSM50 influence the biogeographical distribution of Amazon tree species. However, HSM50 was the only significant predictor of observed decadal-scale changes in forest biomass. Old-growth forests with wide HSM50 are gaining more biomass than are low HSM50 forests. We propose that this may be associated with a growth-mortality trade-off whereby trees in forests consisting of fast-growing species take greater hydraulic risks and face greater mortality risk. Moreover, in regions of more pronounced climatic change, we find evidence that forests are losing biomass, suggesting that species in these regions may be operating beyond their hydraulic limits. Continued climate change is likely to further reduce HSM50 in the Amazon6,7, with strong implications for the Amazon carbon sink.
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Affiliation(s)
- Julia Valentim Tavares
- School of Geography, University of Leeds, Leeds, UK.
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.
| | - Rafael S Oliveira
- Department of Plant Biology, Institute of Biology, University of Campinas, Campinas, Brazil
| | | | - Caroline Signori-Müller
- School of Geography, University of Leeds, Leeds, UK
- College of Life and Environmental Sciences, University of Exeter, Exeter, UK
- Department of Plant Biology, Institute of Biology, Programa de Pós Graduação em Biologia Vegetal, University of Campinas, Campinas, Brazil
| | - Luciano Pereira
- Department of Plant Biology, Institute of Biology, University of Campinas, Campinas, Brazil
- Institute of Systematic Botany and Ecology, Ulm University, Ulm, Germany
| | | | | | | | | | - Martin Acosta
- Programa de Pós-Graduação em Ecologia e Manejo de Recursos Naturais, Universidade Federal do Acre, Rio Branco, Brazil
| | | | - Fernanda de V Barros
- College of Life and Environmental Sciences, University of Exeter, Exeter, UK
- Department of Plant Biology, Institute of Biology, Programa de Pós Graduação em Ecologia, University of Campinas, Campinas, Brazil
| | - Paulo Bittencourt
- Department of Plant Biology, Institute of Biology, University of Campinas, Campinas, Brazil
- College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Halina Jancoski
- Departamento de Ciências Biológicas, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Brazil
| | - Marina Corrêa Scalon
- Departamento de Ciências Biológicas, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Brazil
- Programa de Pós-Graduação em Ecologia e Conservação, Universidade Federal do Paraná, Curitiba, Brazil
| | - Beatriz S Marimon
- Departamento de Ciências Biológicas, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Brazil
| | - Imma Oliveras Menor
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
- AMAP (Botanique et Modélisation de l'Architecture des Plantes et des Végétations), CIRAD, CNRS, INRA, IRD, Université de Montpellier, Montpellier, France
| | - Ben Hur Marimon
- Departamento de Ciências Biológicas, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Brazil
| | - Max Fancourt
- School of Geography, University of Leeds, Leeds, UK
| | | | - Adriane Esquivel-Muelbert
- School of Geography, University of Birmingham, Birmingham, UK
- Birmingham Institute of Forest Research (BIFoR), Birmingham, UK
| | - Lucy Rowland
- College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Patrick Meir
- School of Geosciences, University of Edinburgh, Edinburgh, UK
- Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia
| | | | - Alex Nina
- Pontificia Universidad Católica del Perú, Lima, Peru
| | | | - Jose S Tintaya
- Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru
| | | | - Jean Baca
- Universidad Nacional de la Amazonia Peruana, Iquitos, Peru
| | | | - Edwin R M Cumapa
- Instituto de Geociências, Faculdade de Meteorologia, Universidade Federal do Pará, Belém, Brazil
| | | | - Renata Teixeira
- Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru
| | - Ligia Tello
- Universidad Nacional de la Amazonia Peruana, Iquitos, Peru
| | - Maira T M Ugarteche
- Museo de Historia Natural Noel Kempff Mercado, Santa Cruz de la Sierra, Bolivia
- Universidad Autonoma Gabriel Rene Moreno, Santa Cruz, Bolivia
| | - Gina A Cuellar
- Museo de Historia Natural Noel Kempff Mercado, Santa Cruz de la Sierra, Bolivia
- Universidad Autonoma Gabriel Rene Moreno, Santa Cruz, Bolivia
| | - Franklin Martinez
- Museo de Historia Natural Noel Kempff Mercado, Santa Cruz de la Sierra, Bolivia
- Universidad Autonoma Gabriel Rene Moreno, Santa Cruz, Bolivia
| | - Alejandro Araujo-Murakami
- Museo de Historia Natural Noel Kempff Mercado, Santa Cruz de la Sierra, Bolivia
- Universidad Autonoma Gabriel Rene Moreno, Santa Cruz, Bolivia
| | - Everton Almeida
- Instituto de Biodiversidade e Florestas, Universidade Federal do Oeste do Pará, Santarém, Brazil
| | | | - Jhon Del Aguila Pasquel
- Universidad Nacional de la Amazonia Peruana (UNAP), Iquitos, Peru
- Instituto de Investigaciones de la Amazonia Peruana, Iquitos, Peru
| | - Luís Aragāo
- National Institute for Space Research (INPE), São José dos Campos-SP, Brazil
| | | | | | - Roel Brienen
- School of Geography, University of Leeds, Leeds, UK
| | - Wendeson Castro
- Laboratório de Botânica e Ecologia Vegetal, Universidade Federal do Acre, Rio Branco, Brazil
- SOS Amazônia, Programa Governança e Proteção da Paisagem Verde na Amazônia, Rio Branco-AC, Brazil
| | | | | | - Eric G Cosio
- Sección Química, Pontificia Universidad Católica del Perú, Lima, Peru
| | | | - Richarlly da Costa Silva
- Programa de Pós-Graduação em Ecologia e Manejo de Recursos Naturais, Universidade Federal do Acre, Rio Branco, Brazil
- Instituto Federal de Educação, Ciência e Tecnologia do Acre, Campus Baixada do Sol, Rio Branco, Brazil
| | - Mathias Disney
- Department of Geography, University College London, London, UK
| | - Javier Silva Espejo
- Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru
- Departamento de Biología, Universidad de La Serena, La Serena, Chile
| | - Ted R Feldpausch
- College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | | | - Leandro Giacomin
- Departamento de Sistemática e Ecologia, Centro de Ciências Exatas e da Natureza, Universidade Federal da Paraíba, João Pessoa, Brazil
| | - Niro Higuchi
- Instituto Nacional de Pesquisas da Amazônia, Manaus, Brazil
| | - Marina Hirota
- Department of Plant Biology, Institute of Biology, University of Campinas, Campinas, Brazil
- Department of Physics, Federal University of Santa Catarina, Florianópolis, Brazil
| | - Euridice Honorio
- Instituto de Investigaciones de la Amazonia Peruana, Iquitos, Peru
| | - Walter Huaraca Huasco
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
| | - Simon Lewis
- School of Geography, University of Leeds, Leeds, UK
- Department of Geography, University College London, London, UK
| | - Gerardo Flores Llampazo
- Instituto de Investigaciones de la Amazonia Peruana, Iquitos, Peru
- Universidad Nacional Jorge Basadre de Grohmann (UNJBG), Tacna, Peru
| | - Yadvinder Malhi
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
| | - Abel Monteagudo Mendoza
- Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru
- Jardín Botánico de Missouri, Oxapampa, Peru
| | - Paulo Morandi
- Departamento de Ciências Biológicas, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Brazil
| | - Victor Chama Moscoso
- Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru
- Jardín Botánico de Missouri, Oxapampa, Peru
| | - Robert Muscarella
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Deliane Penha
- Programa de Pós-Graduação em Biodiversidade, Universidade Federal do Oeste do Pará, Santarém, Brazil
| | - Mayda Cecília Rocha
- Instituto de Ciências e Tecnologia das Águas, Universidade Federal do Oeste do Pará, Santarém, Brazil
| | - Gleicy Rodrigues
- Programa de Pós-Graduação em Botânica, Instituto Nacional de Pesquisas da Amazônia, Manaus, Brazil
| | | | - Norma Salinas
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
- Sección Química, Pontificia Universidad Católica del Perú, Lima, Peru
| | - Monique Schlickmann
- Programa de Pós-Graduação em Biodiversidade, Universidade Federal do Oeste do Pará, Santarém, Brazil
| | - Marcos Silveira
- Museu Universitário, Centro de Ciências Biológicas e da Natureza, Universidade Federal do Acre, Rio Branco, Brazil
| | - Joey Talbot
- Institute for Transport Studies, University of Leeds, Leeds, UK
| | | | - Laura Vedovato
- College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Simone Aparecida Vieira
- Núcleo de Estudos e Pesquisas Ambientais, Universidade Estadual de Campinas, Campinas, Brazil
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Terryn L, Calders K, Åkerblom M, Bartholomeus H, Disney M, Levick S, Origo N, Raumonen P, Verbeeck H. Analysing individual 3D tree structure using the R package ITSMe. Methods Ecol Evol 2022. [DOI: 10.1111/2041-210x.14026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Louise Terryn
- CAVElab – Computational and Applied Vegetation Ecology, Department of Environment Ghent University Ghent Belgium
| | - Kim Calders
- CAVElab – Computational and Applied Vegetation Ecology, Department of Environment Ghent University Ghent Belgium
| | | | - Harm Bartholomeus
- Wageningen University & Research, Laboratory of Geo‐Information Science and Remote Sensing Wageningen The Netherlands
| | - Mathias Disney
- UCL Department of Geography London UK
- NERC National Centre for Earth Observation (NCEO‐UCL) Leicester UK
| | - Shaun Levick
- CSIRO Land and Water Winnellie Northwest Territories Australia
| | - Niall Origo
- Climate and Earth Observation group ‐ National Physical Laboratory Teddington UK
| | - Pasi Raumonen
- Computing Sciences, Tampere University Tampere Finland
| | - Hans Verbeeck
- CAVElab – Computational and Applied Vegetation Ecology, Department of Environment Ghent University Ghent Belgium
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5
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Demol M, Verbeeck H, Gielen B, Armston J, Burt A, Disney M, Duncanson L, Hackenberg J, Kükenbrink D, Lau A, Ploton P, Sewdien A, Stovall A, Momo Takoudjou S, Volkova L, Weston C, Wortel V, Calders K. Estimating forest aboveground biomass with terrestrial laser scanning: current status and future directions. Methods Ecol Evol 2022. [DOI: 10.1111/2041-210x.13906] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Miro Demol
- CAVElab, Computational and Applied Vegetation Ecology, Department of Environment, Faculty of Bioscience Engineering Ghent University Ghent Belgium
- PLECO, Plants and Ecosystems, Faculty of Science Antwerp University Wilrijk Belgium
| | - Hans Verbeeck
- CAVElab, Computational and Applied Vegetation Ecology, Department of Environment, Faculty of Bioscience Engineering Ghent University Ghent Belgium
| | - Bert Gielen
- PLECO, Plants and Ecosystems, Faculty of Science Antwerp University Wilrijk Belgium
| | - John Armston
- Department of Geographical Sciences, University of Maryland College Park MD USA
| | - Andrew Burt
- Department of Geography University College London London UK
| | - Mathias Disney
- Department of Geography University College London London UK
- NERC NCEO‐UCL
| | - Laura Duncanson
- Department of Geographical Sciences, University of Maryland College Park MD USA
| | | | | | - Alvaro Lau
- Wageningen University, Laboratory of Geo‐Information Science and Remote Sensing PB Wageningen the Netherlands
| | - Pierre Ploton
- AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD Montpellier France
| | - Artie Sewdien
- Department of Forest Management, Centre for Agricultural Research in Suriname (CELOS) Paramaribo Suriname
| | - Atticus Stovall
- Department of Geographical Sciences, University of Maryland College Park MD USA
- NASA Goddard Space Flight Center Greenbelt MD United States
| | - Stéphane Momo Takoudjou
- AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD Montpellier France
- Plant Systematic and Ecology Laboratory (LaBosystE), Department of Biology, Higher Teachers’ Training College University of Yaoundé I Yaoundé Cameroon
| | - Liubov Volkova
- School of Ecosystem and Forest Sciences The University of Melbourne Victoria Australia
| | - Chris Weston
- School of Ecosystem and Forest Sciences The University of Melbourne Victoria Australia
| | - Verginia Wortel
- Department of Forest Management, Centre for Agricultural Research in Suriname (CELOS) Paramaribo Suriname
| | - Kim Calders
- CAVElab, Computational and Applied Vegetation Ecology, Department of Environment, Faculty of Bioscience Engineering Ghent University Ghent Belgium
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6
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Wilkes P, Shenkin A, Disney M, Malhi Y, Bentley LP, Vicari MB. Terrestrial laser scanning to reconstruct branch architecture from harvested branches. Methods Ecol Evol 2021. [DOI: 10.1111/2041-210x.13709] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Phil Wilkes
- Department of Geography University College London London UK
- NERC National Centre for Earth Observation Leicester UK
| | - Alexander Shenkin
- Environmental Change Institute School of Geography and Environment University of Oxford Oxford UK
| | - Mathias Disney
- Department of Geography University College London London UK
- NERC National Centre for Earth Observation Leicester UK
| | - Yadvinder Malhi
- Environmental Change Institute School of Geography and Environment University of Oxford Oxford UK
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7
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Abstract
This article comments on: Peter B. Boucher, Ian Paynter, David A. Orwig Ilan Valencius and Crystal Schaaf, Sampling forests with terrestrial laser scanning, Annals of Botany, Volume 128, Issue 6, 2 November 2021, Pages 685–687 https://doi.org/10.1093/aob/mcab073
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Affiliation(s)
- Mathias Disney
- UCL Geography, Gower Street, London WC1E 6BT, UK
- Corresponding author details: Mathias Disney,
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8
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Draper FC, Costa FRC, Arellano G, Phillips OL, Duque A, Macía MJ, Ter Steege H, Asner GP, Berenguer E, Schietti J, Socolar JB, de Souza FC, Dexter KG, Jørgensen PM, Tello JS, Magnusson WE, Baker TR, Castilho CV, Monteagudo-Mendoza A, Fine PVA, Ruokolainen K, Coronado ENH, Aymard G, Dávila N, Sáenz MS, Paredes MAR, Engel J, Fortunel C, Paine CET, Goret JY, Dourdain A, Petronelli P, Allie E, Andino JEG, Brienen RJW, Pérez LC, Manzatto ÂG, Zambrana NYP, Molino JF, Sabatier D, Chave J, Fauset S, Villacorta RG, Réjou-Méchain M, Berry PE, Melgaço K, Feldpausch TR, Sandoval EV, Martinez RV, Mesones I, Junqueira AB, Roucoux KH, de Toledo JJ, Andrade AC, Camargo JL, Del Aguila Pasquel J, Santana FD, Laurance WF, Laurance SG, Lovejoy TE, Comiskey JA, Galbraith DR, Kalamandeen M, Aguilar GEN, Arenas JV, Guerra CAA, Flores M, Llampazo GF, Montenegro LAT, Gomez RZ, Pansonato MP, Moscoso VC, Vleminckx J, Barrantes OJV, Duivenvoorden JF, de Sousa SA, Arroyo L, Perdiz RO, Cravo JS, Marimon BS, Junior BHM, Carvalho FA, Damasco G, Disney M, Vital MS, Diaz PRS, Vicentini A, Nascimento H, Higuchi N, Van Andel T, Malhi Y, Ribeiro SC, Terborgh JW, Thomas RS, Dallmeier F, Prieto A, Hilário RR, Salomão RP, Silva RDC, Casas LF, Vieira ICG, Araujo-Murakami A, Arevalo FR, Ramírez-Angulo H, Torre EV, Peñuela MC, Killeen TJ, Pardo G, Jimenez-Rojas E, Castro W, Cabrera DG, Pipoly J, de Sousa TR, Silvera M, Vos V, Neill D, Vargas PN, Vela DM, Aragão LEOC, Umetsu RK, Sierra R, Wang O, Young KR, Prestes NCCS, Massi KG, Huaymacari JR, Gutierrez GAP, Aldana AM, Alexiades MN, Baccaro F, Céron C, Muelbert AE, Rios JMG, Lima AS, Lloyd JL, Pitman NCA, Gamarra LV, Oroche CJC, Fuentes AF, Palacios W, Patiño S, Torres-Lezama A, Baraloto C. Amazon tree dominance across forest strata. Nat Ecol Evol 2021; 5:757-767. [PMID: 33795854 DOI: 10.1038/s41559-021-01418-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 02/18/2021] [Indexed: 02/01/2023]
Abstract
The forests of Amazonia are among the most biodiverse plant communities on Earth. Given the immediate threats posed by climate and land-use change, an improved understanding of how this extraordinary biodiversity is spatially organized is urgently required to develop effective conservation strategies. Most Amazonian tree species are extremely rare but a few are common across the region. Indeed, just 227 'hyperdominant' species account for >50% of all individuals >10 cm diameter at 1.3 m in height. Yet, the degree to which the phenomenon of hyperdominance is sensitive to tree size, the extent to which the composition of dominant species changes with size class and how evolutionary history constrains tree hyperdominance, all remain unknown. Here, we use a large floristic dataset to show that, while hyperdominance is a universal phenomenon across forest strata, different species dominate the forest understory, midstory and canopy. We further find that, although species belonging to a range of phylogenetically dispersed lineages have become hyperdominant in small size classes, hyperdominants in large size classes are restricted to a few lineages. Our results demonstrate that it is essential to consider all forest strata to understand regional patterns of dominance and composition in Amazonia. More generally, through the lens of 654 hyperdominant species, we outline a tractable pathway for understanding the functioning of half of Amazonian forests across vertical strata and geographical locations.
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Affiliation(s)
- Frederick C Draper
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL, USA. .,School of Geography, University of Leeds, Leeds, UK. .,Center for Global Discovery and Conservation Science, Arizona State University, Tempe, AZ, USA.
| | - Flavia R C Costa
- Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil
| | - Gabriel Arellano
- Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA
| | | | - Alvaro Duque
- Departamento de Ciencias Forestales, Universidad Nacional de Colombia, Medellín, Colombia
| | - Manuel J Macía
- Departamento de Biología, Universidad Autónoma de Madrid, Madrid, Spain.,Centro de Investigación en Biodiversidad y Cambio Global (CIBC-UAM), Universidad Autónoma de Madrid, Madrid, Spain
| | - Hans Ter Steege
- Naturalis Biodiversity Center, Leiden, The Netherlands.,Systems Ecology, Vrije Universiteit, Amsterdam, The Netherlands
| | - Gregory P Asner
- Center for Global Discovery and Conservation Science, Arizona State University, Tempe, AZ, USA
| | - Erika Berenguer
- Lancaster Environment Centre, Lancaster University, Lancaster, UK.,Environmental Change Institute, University of Oxford, Oxford, UK
| | - Juliana Schietti
- Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil
| | - Jacob B Socolar
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
| | | | - Kyle G Dexter
- School of Geosciences, University of Edinburgh, Edinburgh, UK
| | | | | | | | | | | | | | - Paul V A Fine
- Department of Intergrative Biology, University of California Berkeley, Berkeley, CA, USA
| | | | | | - Gerardo Aymard
- UNELLEZ-Guanare, Programa de Ciencias del Agro y el Mar, Herbario Universitario (PORT), Mesa de Cavacas, Venezuela.,Compensation International Progress S. A.-Ciprogress Greenlife, Bogotá, Colombia
| | - Nállarett Dávila
- Instituto de Investigaciones de la Amazonía Peruana, Iquitos, Peru
| | - Mauricio Sánchez Sáenz
- Departamento de Ciencias Forestales, Universidad Nacional de Colombia, Medellín, Colombia
| | | | - Julien Engel
- AMAP, Université de Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France
| | - Claire Fortunel
- AMAP, Université de Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France
| | - C E Timothy Paine
- Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia
| | - Jean-Yves Goret
- INRA, UMR EcoFoG, AgroParisTech, CNRS, CIRAD, Université des Antilles, Université de Guyane, Kourou, French Guiana
| | | | | | - Elodie Allie
- INRA, UMR EcoFoG, AgroParisTech, CNRS, CIRAD, Université des Antilles, Université de Guyane, Kourou, French Guiana
| | | | | | | | - Ângelo G Manzatto
- Departamento de Biologia, Universidade Federal de Rondônia, Porto Velho, Brazil
| | | | | | - Daniel Sabatier
- AMAP, Université de Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France
| | - Jerôme Chave
- Laboratoire Evolution et Diversité Biologique (EDB) CNRS/UPS, Toulouse, France
| | - Sophie Fauset
- School of Geography, Earth and Environmental Sciences, University of Plymouth, Plymouth, UK
| | | | | | - Paul E Berry
- Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA
| | - Karina Melgaço
- Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil
| | | | | | | | - Italo Mesones
- Department of Intergrative Biology, University of California Berkeley, Berkeley, CA, USA
| | - André B Junqueira
- Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil.,Institut de Ciència i Tecnologia Ambientals, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Katherine H Roucoux
- School of Geography & Sustainable Development, University of St Andrews, St Andrews, UK
| | - José J de Toledo
- Department of Environment and Development, Federal University of Amapá, Macapa, Brazil
| | - Ana C Andrade
- Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil
| | | | | | - Flávia D Santana
- Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil
| | - William F Laurance
- Centre for Tropical Environmental and Sustainability Science (TESS) and College of Marine and Environmental Sciences, James Cook University, Cairns, Queensland, Australia
| | - Susan G Laurance
- Centre for Tropical Environmental and Sustainability Science (TESS) and College of Marine and Environmental Sciences, James Cook University, Cairns, Queensland, Australia
| | - Thomas E Lovejoy
- Department of Environmental Science and Policy, George Mason University, Fairfax, VA, USA
| | - James A Comiskey
- Inventory and Monitoring Program, National Park Service, Fredericksburg, VA, USA.,Smithsonian Institution, Washington DC, USA
| | | | - Michelle Kalamandeen
- Department of Plant Sciences, University of Cambridge, Cambridge, UK.,Living with Lakes Centre, Laurentian University, Greater Sudbury, Ontario, Canada
| | | | - Jim Vega Arenas
- Facultad de Ciencias Biológicas, Universidad Nacional de la Amazonía Peruana, Iquito, Peru
| | | | - Manuel Flores
- Facultad de Ciencias Biológicas, Universidad Nacional de la Amazonía Peruana, Iquito, Peru
| | | | | | | | | | - Victor Chama Moscoso
- Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru.,Estación Biológica del Jardín Botánico de Missouri, Oxapampa, Peru
| | - Jason Vleminckx
- Center for Global Discovery and Conservation Science, Arizona State University, Tempe, AZ, USA
| | | | - Joost F Duivenvoorden
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Luzmila Arroyo
- Museo de Historia Natural Noel Kempff Mercado, Universidad Autónoma Gabriel Rene Moreno, Santa Cruz, Bolivia
| | - Ricardo O Perdiz
- Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil
| | | | - Beatriz S Marimon
- Faculdade de Ciências Agrárias, Biológicas e Sociais Aplicadas, Universidad do Estado de Mato Grosso, Nova Xavantina, Brazil
| | - Ben Hur Marimon Junior
- Faculdade de Ciências Agrárias, Biológicas e Sociais Aplicadas, Universidad do Estado de Mato Grosso, Nova Xavantina, Brazil
| | | | - Gabriel Damasco
- Department of Ecology, Evolution and Behaviour, University of Minnesota, Minneapolis, MN, USA
| | - Mathias Disney
- Department of Geography, University College London, London, UK
| | - Marcos Salgado Vital
- Centro de Estudos da Biodiversidade, Universidade Federal de Roraima, Boa Vista, Brazil
| | - Pablo R Stevenson Diaz
- Departamento de Ciencias Biológicas, Universidad de Los Andes (Colombia), Bogotá, Colombia
| | | | | | - Niro Higuchi
- Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil
| | | | - Yadvinder Malhi
- Environmental Change Institute, University of Oxford, Oxford, UK
| | - Sabina Cerruto Ribeiro
- Centro de Ciências Biológicas e da Natureza, Universidade Federal do Acre, Rio Branco, Brazil
| | - John W Terborgh
- Nicholas School of the Environment, Duke University, Durham, NC, USA
| | - Raquel S Thomas
- Iwokrama International Centre for Rainforest Conservation and Development, Georgetown, Guyana
| | - Francisco Dallmeier
- Smithsonian's National Zoo & Conservation Biology Institute, Washington DC, USA
| | - Adriana Prieto
- Instituto de Ciencias Naturales, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Renato R Hilário
- Department of Environment and Development, Federal University of Amapá, Macapa, Brazil
| | - Rafael P Salomão
- Universidade Federal Rural da Amazônia-UFRA/CAPES, Belém, Brazil.,Museu Paraense Emílio Goeldi, Belém, Brasil
| | | | - Luisa F Casas
- Laboratorio de Ecología de Bosques Tropicales y Primatología, Fundación Natura Colombia, Universidad de Los Andes, Bogotá, Colombia
| | | | - Alejandro Araujo-Murakami
- Museo de Historia Natural Noel Kempff Mercado, Universidad Autónoma Gabriel Rene Moreno, Santa Cruz, Bolivia
| | | | - Hirma Ramírez-Angulo
- Institute of Research for Forestry Development, Universidad de los Andes, Merida, Venezuela
| | - Emilio Vilanova Torre
- Institute of Research for Forestry Development, Universidad de los Andes, Merida, Venezuela.,School of Environmental and Forest Sciences (SEFS), University of Washington, Seattle, WA, USA
| | | | | | - Guido Pardo
- Universidad Autónoma del Beni, Riberalta, Bolivia
| | - Eliana Jimenez-Rojas
- Instituto Amazónico de Investigaciones (IMANI), Universidad Nacional de Colombia, Sede Amazonia, Brazil
| | - Wenderson Castro
- Centro de Ciências Biológicas e da Natureza, Universidade Federal do Acre, Rio Branco, Brazil
| | | | - John Pipoly
- Broward County Parks and Recreation, Miami, FL, USA.,Biological Sciences, Florida Atlantic University-Davie, Miami, FL, USA
| | | | - Marcos Silvera
- Museu Universitário, Universidade Federal do Acre, Rio Branco, Brazil
| | - Vincent Vos
- Universidad Autónoma del Beni, Riberalta, Bolivia
| | - David Neill
- Facultad de Ingeniería Ambiental, Universidad Estatal Amazónica, Puyo, Ecuador
| | | | - Dilys M Vela
- Department of Biology, Washington University in St Louis, St Louis, MO, USA
| | - Luiz E O C Aragão
- National Institute for Space Research (INPE), São José dos Campos, Brazil
| | - Ricardo Keichi Umetsu
- Faculdade de Ciências Agrárias, Biológicas e Sociais Aplicadas, Universidad do Estado de Mato Grosso, Nova Xavantina, Brazil
| | | | - Ophelia Wang
- School of Earth Sciences and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ, USA
| | - Kenneth R Young
- Department of Geography and the Environment, University of Texas at Austin, Austin, TX, USA
| | - Nayane C C S Prestes
- Faculdade de Ciências Agrárias, Biológicas e Sociais Aplicadas, Universidad do Estado de Mato Grosso, Nova Xavantina, Brazil
| | - Klécia G Massi
- Instituto de Ciência e Tecnologia, São Paulo State University (UNESP), São José dos Campos, Brazil
| | | | - Germaine A Parada Gutierrez
- Museo de Historia Natural Noel Kempff Mercado, Universidad Autónoma Gabriel Rene Moreno, Santa Cruz, Bolivia
| | - Ana M Aldana
- Departamento de Ciencias Biológicas, Universidad de Los Andes (Colombia), Bogotá, Colombia
| | - Miguel N Alexiades
- School of Anthropology and Conservation, University of Kent, Canterbury, UK
| | | | - Carlos Céron
- Herbario Alfredo Paredes (QAP), Universidad Central del Ecuador, Quito, Ecuador
| | | | | | | | - Jonathan L Lloyd
- Department of Life Sciences, Imperial College London, London, UK
| | | | | | | | - Alfredo F Fuentes
- Instituto de Ecología, Herbario Nacional de Bolivia, La Paz, Bolivia
| | - Walter Palacios
- Universidad Tecnica del Norte, Herbario Nacional del Ecuador, Quito, Ecuador
| | - Sandra Patiño
- Research Institute Alexander von Humboldt, Bogotá, Colombia
| | - Armando Torres-Lezama
- Institute of Research for Forestry Development, Universidad de los Andes, Merida, Venezuela
| | - Christopher Baraloto
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL, USA
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9
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Burt A, Boni Vicari M, da Costa ACL, Coughlin I, Meir P, Rowland L, Disney M. New insights into large tropical tree mass and structure from direct harvest and terrestrial lidar. R Soc Open Sci 2021; 8:201458. [PMID: 33972856 PMCID: PMC8074798 DOI: 10.1098/rsos.201458] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Accepted: 01/18/2021] [Indexed: 06/12/2023]
Abstract
A large portion of the terrestrial vegetation carbon stock is stored in the above-ground biomass (AGB) of tropical forests, but the exact amount remains uncertain, partly owing to the lack of measurements. To date, accessible peer-reviewed data are available for just 10 large tropical trees in the Amazon that have been harvested and directly measured entirely via weighing. Here, we harvested four large tropical rainforest trees (stem diameter: 0.6-1.2 m, height: 30-46 m, AGB: 3960-18 584 kg) in intact old-growth forest in East Amazonia, and measured above-ground green mass, moisture content and woody tissue density. We first present rare ecological insights provided by these data, including unsystematic intra-tree variations in density, with both height and radius. We also found the majority of AGB was usually found in the crown, but varied from 42 to 62%. We then compare non-destructive approaches for estimating the AGB of these trees, using both classical allometry and new lidar-based methods. Terrestrial lidar point clouds were collected pre-harvest, on which we fitted cylinders to model woody structure, enabling retrieval of volume-derived AGB. Estimates from this approach were more accurate than allometric counterparts (mean tree-scale relative error: 3% versus 15%), and error decreased when up-scaling to the cumulative AGB of the four trees (1% versus 15%). Furthermore, while allometric error increased fourfold with tree size over the diameter range, lidar error remained constant. This suggests error in these lidar-derived estimates is random and additive. Were these results transferable across forest scenes, terrestrial lidar methods would reduce uncertainty in stand-scale AGB estimates, and therefore advance our understanding of the role of tropical forests in the global carbon cycle.
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Affiliation(s)
- Andrew Burt
- Department of Geography, University College London, London, UK
| | | | | | - Ingrid Coughlin
- Research School of Biology, Australian National University, Canberra, Australia
| | - Patrick Meir
- Research School of Biology, Australian National University, Canberra, Australia
- School of GeoSciences, University of Edinburgh, Edinburgh, UK
| | - Lucy Rowland
- College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Mathias Disney
- Department of Geography, University College London, London, UK
- NERC National Centre for Earth Observation (NCEO), Leicester, UK
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10
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Abstract
Large trees are disproportionately important in terms of their above ground biomass (AGB) and carbon storage, as well as their wider impact on ecosystem structure. They are also very hard to measure and so tend to be underrepresented in measurements and models of AGB. We show the first detailed 3D terrestrial laser scanning (TLS) estimates of the volume and AGB of large coastal redwood Sequoia sempervirens trees from three sites in Northern California, representing some of the highest biomass ecosystems on Earth. Our TLS estimates agree to within 2% AGB with a species-specific model based on detailed manual crown mapping of 3D tree structure. However TLS-derived AGB was more than 30% higher compared to widely-used general (non species-specific) allometries. We derive an allometry from TLS that spans a much greater range of tree size than previous models and so is potentially better-suited for use with new Earth Observation data for these exceptionally high biomass areas. We suggest that where possible, TLS and crown mapping should be used to provide complementary, independent 3D structure measurements of these very large trees.
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Affiliation(s)
| | - Andrew Burt
- UCL Geography, Gower Street, London, WC1E 6BT, UK
| | - Phil Wilkes
- UCL Geography, Gower Street, London, WC1E 6BT, UK
- NERC National Centre for Earth Observation (NCEO), UCL, Gower Street, London, WC1E 6BT, UK
| | - John Armston
- Department of Geographical Sciences, University of Maryland, College Park, 2181 Lefrak Hall, College Park, MD, 20742, USA
| | - Laura Duncanson
- Department of Geographical Sciences, University of Maryland, College Park, 2181 Lefrak Hall, College Park, MD, 20742, USA
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11
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Jackson TD, Shenkin AF, Majalap N, Bin Jami J, Bin Sailim A, Reynolds G, Coomes DA, Chandler CJ, Boyd DS, Burt A, Wilkes P, Disney M, Malhi Y. The mechanical stability of the world’s tallest broadleaf trees. Biotropica 2020. [DOI: 10.1111/btp.12850] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Tobias D. Jackson
- Forest Ecology and Conservation Group Department of Plant Sciences University of Cambridge Cambridge UK
- Environmental Change Institute School of Geography and the Environment University of Oxford Oxford UK
| | - Alexander F. Shenkin
- Environmental Change Institute School of Geography and the Environment University of Oxford Oxford UK
| | - Noreen Majalap
- Phytochemistry UnitForest Research Centre Sabah Malaysia
| | | | - Azlin Bin Sailim
- South East Asia Rainforest Research Partnership (SEARRP) Sabah Malaysia
| | - Glen Reynolds
- South East Asia Rainforest Research Partnership (SEARRP) Sabah Malaysia
| | - David A. Coomes
- Forest Ecology and Conservation Group Department of Plant Sciences University of Cambridge Cambridge UK
| | | | - Doreen S. Boyd
- School of Geography University of Nottingham Nottingham UK
| | - Andy Burt
- Department of Geography University College London London UK
| | - Phil Wilkes
- Department of Geography University College London London UK
- NERC National Centre for Earth Observation (NCEO) Leicester UK
| | - Mathias Disney
- Department of Geography University College London London UK
- NERC National Centre for Earth Observation (NCEO) Leicester UK
| | - Yadvinder Malhi
- Environmental Change Institute School of Geography and the Environment University of Oxford Oxford UK
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12
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Calders K, Phinn S, Ferrari R, Leon J, Armston J, Asner GP, Disney M. 3D Imaging Insights into Forests and Coral Reefs. Trends Ecol Evol 2020; 35:6-9. [DOI: 10.1016/j.tree.2019.10.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 09/30/2019] [Accepted: 10/04/2019] [Indexed: 11/25/2022]
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13
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Jackson T, Shenkin A, Moore J, Bunce A, van Emmerik T, Kane B, Burcham D, James K, Selker J, Calders K, Origo N, Disney M, Burt A, Wilkes P, Raumonen P, Gonzalez de Tanago Menaca J, Lau A, Herold M, Goodman RC, Fourcaud T, Malhi Y. An architectural understanding of natural sway frequencies in trees. J R Soc Interface 2019; 16:20190116. [PMID: 31164076 DOI: 10.1098/rsif.2019.0116] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The relationship between form and function in trees is the subject of a longstanding debate in forest ecology and provides the basis for theories concerning forest ecosystem structure and metabolism. Trees interact with the wind in a dynamic manner and exhibit natural sway frequencies and damping processes that are important in understanding wind damage. Tree-wind dynamics are related to tree architecture, but this relationship is not well understood. We present a comprehensive view of natural sway frequencies in trees by compiling a dataset of field measurement spanning conifers and broadleaves, tropical and temperate forests. The field data show that a cantilever beam approximation adequately predicts the fundamental frequency of conifers, but not that of broadleaf trees. We also use structurally detailed tree dynamics simulations to test fundamental assumptions underpinning models of natural frequencies in trees. We model the dynamic properties of greater than 1000 trees using a finite-element approach based on accurate three-dimensional model trees derived from terrestrial laser scanning data. We show that (1) residual variation, the variation not explained by the cantilever beam approximation, in fundamental frequencies of broadleaf trees is driven by their architecture; (2) slender trees behave like a simple pendulum, with a single natural frequency dominating their motion, which makes them vulnerable to wind damage and (3) the presence of leaves decreases both the fundamental frequency and the damping ratio. These findings demonstrate the value of new three-dimensional measurements for understanding wind impacts on trees and suggest new directions for improving our understanding of tree dynamics from conifer plantations to natural forests.
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Affiliation(s)
- T Jackson
- 1 Environmental Change Institute, School of Geography and the Environment, University of Oxford , Oxford OX1 3QY , UK
| | - A Shenkin
- 1 Environmental Change Institute, School of Geography and the Environment, University of Oxford , Oxford OX1 3QY , UK
| | - J Moore
- 2 Scion , 49 Sala Street, Rotorua 3010 , New Zealand
| | - A Bunce
- 3 Department of Natural Resources, University of Connecticut , Mansfield, CT 06269 , USA
| | - T van Emmerik
- 4 Water Resources Section, Delft University of Technology , Stevinweg 1, 2628 CN, Delft , The Netherlands.,5 Hydrology and Quantitative Water Management Group, Wageningen University , Wageningen , The Netherlands
| | - B Kane
- 6 Department of Environmental Conservation, University of Massachusetts , Amherst, MA 01003 , USA
| | - D Burcham
- 7 Centre for Urban Greenery and Ecology , National Parks Board, 259569 Singapore
| | - K James
- 8 School of Ecosystem and Forest Sciences, Faculty of Science, University of Melbourne , Melbourne , Australia
| | - J Selker
- 9 Oregon State University , Corvallis, OR 97331 , USA
| | - K Calders
- 10 CAVElab - Computational and Applied Vegetation Ecology, Ghent University , Ghent , Belgium
| | - N Origo
- 11 Earth Observation, Climate and Optical Group, National Physical Laboratory , Hampton Road, Teddington, Middlesex TW11 0LW , UK.,12 Department of Geography, University College London , London WC1E 6BT , UK
| | - M Disney
- 12 Department of Geography, University College London , London WC1E 6BT , UK.,13 NERC National Centre for Earth Observation (NCEO) , Leicester , UK
| | - A Burt
- 12 Department of Geography, University College London , London WC1E 6BT , UK
| | - P Wilkes
- 12 Department of Geography, University College London , London WC1E 6BT , UK.,13 NERC National Centre for Earth Observation (NCEO) , Leicester , UK
| | - P Raumonen
- 14 Tampere University of Technology , Korkeakoulunkatu 10, 33720 Tampere , Finland
| | - J Gonzalez de Tanago Menaca
- 15 Laboratory of Geo-Information Science and Remote Sensing, Wageningen University , Droevendaalsesteeg 3, 6708 PB Wageningen , The Netherlands.,16 Center for International Forestry Research (CIFOR) , PO Box 0113 BOCBD, Bogor 16000 , Indonesia
| | - A Lau
- 15 Laboratory of Geo-Information Science and Remote Sensing, Wageningen University , Droevendaalsesteeg 3, 6708 PB Wageningen , The Netherlands.,16 Center for International Forestry Research (CIFOR) , PO Box 0113 BOCBD, Bogor 16000 , Indonesia
| | - M Herold
- 15 Laboratory of Geo-Information Science and Remote Sensing, Wageningen University , Droevendaalsesteeg 3, 6708 PB Wageningen , The Netherlands
| | - R C Goodman
- 17 Department of Forest Ecology and Management, Swedish University of Agricultural Sciences , Umeå , Sweden
| | - T Fourcaud
- 18 AMAP, University of Montpellier, CIRAD, CNRS, INRA, IRD , Montpellier , France
| | - Y Malhi
- 1 Environmental Change Institute, School of Geography and the Environment, University of Oxford , Oxford OX1 3QY , UK
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14
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Disney M. Terrestrial LiDAR: a three-dimensional revolution in how we look at trees. New Phytol 2019; 222:1736-1741. [PMID: 30295928 DOI: 10.1111/nph.15517] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 09/30/2018] [Indexed: 06/08/2023]
Abstract
Contents Summary I. Introduction II. Terrestrial laser scanning III. Turning points into trees IV. Current and future applications of TLS V. Conclusions Acknowledgements References SUMMARY: Terrestrial laser scanning (TLS) is providing new, very detailed three-dimensional (3D) measurements of forest canopy structure. The information that TLS measurements can provide in describing detailed, accurate 3D canopy architecture offers fascinating new insights into the variety of tree form, environmental drivers and constraints, and the relationship between form and function, particularly for tall, hard-to-measure trees. TLS measurements are helping to test fundamental ecological theories and enabling new and better exploitation of other measurements and models that depend on 3D structural information. This Tansley insight introduces the background and capabilities of TLS in forest ecology, discusses some of the barriers to progress, and identifies some of the directions for new work.
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Affiliation(s)
- Mathias Disney
- Department of Geography, UCL, Gower Street, London, WC1E 6BT, UK
- NERC National Centre for Earth Observation (NCEO), UK
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Affiliation(s)
| | - Mathias Disney
- Department of GeographyUniversity College London London UK
- NERC National Centre for Earth Observation Leicester UK
| | - Phil Wilkes
- Department of GeographyUniversity College London London UK
- NERC National Centre for Earth Observation Leicester UK
| | - Andrew Burt
- Department of GeographyUniversity College London London UK
| | - Kim Calders
- CAVElab – Computational & Applied Vegetation EcologyGhent University Gent Belgium
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Duncanson L, Armston J, Disney M, Avitabile V, Barbier N, Calders K, Carter S, Chave J, Herold M, Crowther TW, Falkowski M, Kellner JR, Labrière N, Lucas R, MacBean N, McRoberts RE, Meyer V, Næsset E, Nickeson JE, Paul KI, Phillips OL, Réjou-Méchain M, Román M, Roxburgh S, Saatchi S, Schepaschenko D, Scipal K, Siqueira PR, Whitehurst A, Williams M. The Importance of Consistent Global Forest Aboveground Biomass Product Validation. Surv Geophys 2019; 40:979-999. [PMID: 31395994 PMCID: PMC6647371 DOI: 10.1007/s10712-019-09538-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 04/27/2019] [Indexed: 05/17/2023]
Abstract
Several upcoming satellite missions have core science requirements to produce data for accurate forest aboveground biomass mapping. Largely because of these mission datasets, the number of available biomass products is expected to greatly increase over the coming decade. Despite the recognized importance of biomass mapping for a wide range of science, policy and management applications, there remains no community accepted standard for satellite-based biomass map validation. The Committee on Earth Observing Satellites (CEOS) is developing a protocol to fill this need in advance of the next generation of biomass-relevant satellites, and this paper presents a review of biomass validation practices from a CEOS perspective. We outline the wide range of anticipated user requirements for product accuracy assessment and provide recommendations for the validation of biomass products. These recommendations include the collection of new, high-quality in situ data and the use of airborne lidar biomass maps as tools toward transparent multi-resolution validation. Adoption of community-vetted validation standards and practices will facilitate the uptake of the next generation of biomass products.
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Affiliation(s)
- L. Duncanson
- Department of Geographical Sciences, University of Maryland, College Park, 2181 Lefrak Hall, College Park, MD 20742 USA
| | - J. Armston
- Department of Geographical Sciences, University of Maryland, College Park, 2181 Lefrak Hall, College Park, MD 20742 USA
| | - M. Disney
- Department of Geography, University College London, Gower Street, London, WC1E 6BT UK
| | - V. Avitabile
- European Commission, Joint Research Centre (JRC), Via E. Fermi 2749, 21027 Ispra, Italy
| | - N. Barbier
- AMAP, IRD, CIRAD,
CNRS, INRA, Montpellier University, TA A51/PS2, 34398 Montpellier cedex 5, France
| | - K. Calders
- CAVElab – Computational and Applied Vegetation Ecology, Ghent University, Room A2.089, Coupure Links 653, 9000 Ghent, Belgium
| | - S. Carter
- Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, The Netherlands
| | - J. Chave
- Laboratoire Evolution et Diversit. Biologique, UMR 5174, CNRS, Universit. Toulouse Paul Sabatier, 118 route de Narbonne, 31062 Toulouse cedex 9, France
| | - M. Herold
- Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, The Netherlands
| | - T. W. Crowther
- Institute of Integrative Biology, ETH Zürich, Univeritätstrasse 16, 8006 Zurich, Switzerland
| | - M. Falkowski
- Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80523 USA
| | - J. R. Kellner
- Institute at Brown for Environment and Society, Brown University, Providence, RI 02912 USA
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912 USA
| | - N. Labrière
- Laboratoire Evolution et Diversit. Biologique, UMR 5174, CNRS, Universit. Toulouse Paul Sabatier, 118 route de Narbonne, 31062 Toulouse cedex 9, France
| | - R. Lucas
- Earth Observation and Ecosystem Dynamics Research Group, Department of Geography and Earth Sciences (DGES), Aberystwyth University, Aberystwyth, Wales SY23 3DB UK
| | - N. MacBean
- Department of Geography, Indiana University, 701 E. Kirkwood Ave., Bloomington, IN 47405 USA
| | - R. E. McRoberts
- USDA Forest Service, Northern Research Station, Saint Paul, 1992 Folwell Ave, St Paul, MN 55108 USA
| | - V. Meyer
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109 USA
| | - E. Næsset
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, NMBU, P.O. Box 5003, 1432 Ås, Norway
| | - J. E. Nickeson
- NASA Goddard Space Flight Center/Science Systems and Applications Inc., 10210 Greenbelt Rd #600, Lanham, MD 20706 USA
| | - K. I. Paul
- CSIRO Land and Water, GPO Box 1700, Canberra, ACT 2601 Australia
| | - O. L. Phillips
- School of Geography, University of Leeds, Leeds, LS2 9JT UK
| | - M. Réjou-Méchain
- AMAP, IRD, CIRAD,
CNRS, INRA, Montpellier University, TA A51/PS2, 34398 Montpellier cedex 5, France
| | - M. Román
- Earth from Space Institute, Universities Space Research Association, Columbia, MD USA
| | - S. Roxburgh
- CSIRO Land and Water, GPO Box 1700, Canberra, ACT 2601 Australia
| | - S. Saatchi
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109 USA
| | - D. Schepaschenko
- International Institute for Applied Systems Analysis, Schlossplatz 1, 2361 Laxenburg, Austria
| | - K. Scipal
- European Space Agency, ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands
| | - P. R. Siqueira
- Department of Electrical and Computer Engineering, 201 Marcus Hall, University of Massachusetts, 100 Natural Resources Road, Amherst, MA 01003 USA
| | - A. Whitehurst
- Arctic Slope Federal Technical Services, 7000 Muirkirk Meadows Dr #100, Laurel, MD 20707 USA
| | - M. Williams
- School of GeoScience, University of Edinburgh, Drummond St, Edinburgh, EH8 9XP UK
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Affiliation(s)
- Andrew Burt
- Department of GeographyUniversity College London London UK
| | - Mathias Disney
- Department of GeographyUniversity College London London UK
- NERC National Centre for Earth Observation (NCEO) Leicester UK
| | - Kim Calders
- CAVElab ‐ Computational & Applied Vegetation EcologyGhent University Ghent Belgium
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Wilkes P, Disney M, Vicari MB, Calders K, Burt A. Estimating urban above ground biomass with multi-scale LiDAR. Carbon Balance Manag 2018; 13:10. [PMID: 29943069 PMCID: PMC6020103 DOI: 10.1186/s13021-018-0098-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 05/26/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Urban trees have long been valued for providing ecosystem services (mitigation of the "heat island" effect, suppression of air pollution, etc.); more recently the potential of urban forests to store significant above ground biomass (AGB) has also be recognised. However, urban areas pose particular challenges when assessing AGB due to plasticity of tree form, high species diversity as well as heterogeneous and complex land cover. Remote sensing, in particular light detection and ranging (LiDAR), provide a unique opportunity to assess urban AGB by directly measuring tree structure. In this study, terrestrial LiDAR measurements were used to derive new allometry for the London Borough of Camden, that incorporates the wide range of tree structures typical of an urban setting. Using a wall-to-wall airborne LiDAR dataset, individual trees were then identified across the Borough with a new individual tree detection (ITD) method. The new allometry was subsequently applied to the identified trees, generating a Borough-wide estimate of AGB. RESULTS Camden has an estimated median AGB density of 51.6 Mg ha-1 where maximum AGB density is found in pockets of woodland; terrestrial LiDAR-derived AGB estimates suggest these areas are comparable to temperate and tropical forest. Multiple linear regression of terrestrial LiDAR-derived maximum height and projected crown area explained 93% of variance in tree volume, highlighting the utility of these metrics to characterise diverse tree structure. Locally derived allometry provided accurate estimates of tree volume whereas a Borough-wide allometry tended to overestimate AGB in woodland areas. The new ITD method successfully identified individual trees; however, AGB was underestimated by ≤ 25% when compared to terrestrial LiDAR, owing to the inability of ITD to resolve crown overlap. A Monte Carlo uncertainty analysis identified assigning wood density values as the largest source of uncertainty when estimating AGB. CONCLUSION Over the coming century global populations are predicted to become increasingly urbanised, leading to an unprecedented expansion of urban land cover. Urban areas will become more important as carbon sinks and effective tools to assess carbon densities in these areas are therefore required. Using multi-scale LiDAR presents an opportunity to achieve this, providing a spatially explicit map of urban forest structure and AGB.
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Affiliation(s)
- Phil Wilkes
- Department of Geography, University College London, Gower Street, London, WC1E 6BT UK
- NERC National Centre for Earth Observation,
Leicester, UK
| | - Mathias Disney
- Department of Geography, University College London, Gower Street, London, WC1E 6BT UK
- NERC National Centre for Earth Observation,
Leicester, UK
| | - Matheus Boni Vicari
- Department of Geography, University College London, Gower Street, London, WC1E 6BT UK
| | - Kim Calders
- Department of Geography, University College London, Gower Street, London, WC1E 6BT UK
- Earth Observation, Climate and Optical Group, National Physical Laboratory, Hampton Road, Teddington, TW11 0LW UK
- Computational & Applied Vegetation Ecology, Ghent University, Ghent, Belgium
| | - Andrew Burt
- Department of Geography, University College London, Gower Street, London, WC1E 6BT UK
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Gonzalez de Tanago J, Lau A, Bartholomeus H, Herold M, Avitabile V, Raumonen P, Martius C, Goodman RC, Disney M, Manuri S, Burt A, Calders K. Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR. Methods Ecol Evol 2017. [DOI: 10.1111/2041-210x.12904] [Citation(s) in RCA: 124] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Jose Gonzalez de Tanago
- Laboratory of Geo‐Information Science and Remote SensingWageningen University & Research Wageningen The Netherlands
- Center for International Forestry Research (CIFOR) Bogor Indonesia
| | - Alvaro Lau
- Laboratory of Geo‐Information Science and Remote SensingWageningen University & Research Wageningen The Netherlands
- Center for International Forestry Research (CIFOR) Bogor Indonesia
| | - Harm Bartholomeus
- Laboratory of Geo‐Information Science and Remote SensingWageningen University & Research Wageningen The Netherlands
| | - Martin Herold
- Laboratory of Geo‐Information Science and Remote SensingWageningen University & Research Wageningen The Netherlands
| | - Valerio Avitabile
- Laboratory of Geo‐Information Science and Remote SensingWageningen University & Research Wageningen The Netherlands
| | - Pasi Raumonen
- Laboratory of MathematicsTampere University of Technology Tampere Finland
| | | | - Rosa C. Goodman
- Department of Forest Ecology and ManagementSwedish University of Agricultural Sciences (SLU) Umeå Sweden
| | - Mathias Disney
- Department of GeographyUniversity College London London UK
- NERC National Centre for Earth Observation (NCEO) Leicester UK
| | - Solichin Manuri
- Fenner School of Environment and SocietyAustralian National University Canberra ACT Australia
| | - Andrew Burt
- Department of GeographyUniversity College London London UK
| | - Kim Calders
- Department of GeographyUniversity College London London UK
- Earth ObservationClimate and Optical groupNational Physical Laboratory Teddington UK
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Meir P, Shenkin A, Disney M, Rowland L, Malhi Y, Herold M, da Costa ACL. Plant Structure-Function Relationships and Woody Tissue Respiration: Upscaling to Forests from Laser-Derived Measurements. Advances in Photosynthesis and Respiration 2017. [DOI: 10.1007/978-3-319-68703-2_5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
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Cuni-Sanchez A, White LJT, Calders K, Jeffery KJ, Abernethy K, Burt A, Disney M, Gilpin M, Gomez-Dans JL, Lewis SL. African Savanna-Forest Boundary Dynamics: A 20-Year Study. PLoS One 2016; 11:e0156934. [PMID: 27336632 PMCID: PMC4919100 DOI: 10.1371/journal.pone.0156934] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2015] [Accepted: 05/20/2016] [Indexed: 11/19/2022] Open
Abstract
Recent studies show widespread encroachment of forest into savannas with important consequences for the global carbon cycle and land-atmosphere interactions. However, little research has focused on in situ measurements of the successional sequence of savanna to forest in Africa. Using long-term inventory plots we quantify changes in vegetation structure, above-ground biomass (AGB) and biodiversity of trees ≥10 cm diameter over 20 years for five vegetation types: savanna; colonising forest (F1), monodominant Okoume forest (F2); young Marantaceae forest (F3); and mixed Marantaceae forest (F4) in Lopé National Park, central Gabon, plus novel 3D terrestrial laser scanning (TLS) measurements to assess forest structure differences. Over 20 years no plot changed to a new stage in the putative succession, but F1 forests strongly moved towards the structure, AGB and diversity of F2 forests. Overall, savanna plots showed no detectable change in structure, AGB or diversity using this method, with zero trees ≥10 cm diameter in 1993 and 2013. F1 and F2 forests increased in AGB, mainly as a result of adding recruited stems (F1) and increased Basal Area (F2), whereas F3 and F4 forests did not change substantially in structure, AGB or diversity. Critically, the stability of the F3 stage implies that this stage may be maintained for long periods. Soil carbon was low, and did not show a successional gradient as for AGB and diversity. TLS vertical plant profiles showed distinctive differences amongst the vegetation types, indicating that this technique can improve ecological understanding. We highlight two points: (i) as forest colonises, changes in biodiversity are much slower than changes in forest structure or AGB; and (ii) all forest types store substantial quantities of carbon. Multi-decadal monitoring is likely to be required to assess the speed of transition between vegetation types.
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Affiliation(s)
- Aida Cuni-Sanchez
- Department of Geography, University College London, Gower Street, WC1E 6BT, London, United Kingdom
- Center for Macroecology, Evolution and Climate, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark
| | - Lee J. T. White
- Agence Nationale des Parcs Nationaux, BP 20379, Libreville, Gabon
- Institute de Recherche en Ecologie Tropicale, BP13354, Libreville, Gabon
- School of Natural Sciences, University of Stirling, FK9 4LA, Stirling, Scotland, United Kingdom
| | - Kim Calders
- Department of Geography, University College London, Gower Street, WC1E 6BT, London, United Kingdom
- Earth Observations, Climate and Optical Group, National Physical Laboratory, Hampton Road, Teddington, Middlesex, TW11 0LW, United Kingdom
- Laboratory of Geo-Information Science and Remote Sensing, Wageningen University, Wageningen, The Netherlands
| | - Kathryn J. Jeffery
- Agence Nationale des Parcs Nationaux, BP 20379, Libreville, Gabon
- Institute de Recherche en Ecologie Tropicale, BP13354, Libreville, Gabon
- School of Natural Sciences, University of Stirling, FK9 4LA, Stirling, Scotland, United Kingdom
| | - Katharine Abernethy
- Institute de Recherche en Ecologie Tropicale, BP13354, Libreville, Gabon
- School of Natural Sciences, University of Stirling, FK9 4LA, Stirling, Scotland, United Kingdom
| | - Andrew Burt
- Department of Geography, University College London, Gower Street, WC1E 6BT, London, United Kingdom
| | - Mathias Disney
- Department of Geography, University College London, Gower Street, WC1E 6BT, London, United Kingdom
- UK NERC National Centre for Earth Observation (NCEO), Michael Atiyah Building, University of Leicester, University Road, LE1 7RH, Leicester, United Kingdom
| | - Martin Gilpin
- School of Geography, University of Leeds, LS2 9JT, Leeds, United Kingdom
| | - Jose L. Gomez-Dans
- Department of Geography, University College London, Gower Street, WC1E 6BT, London, United Kingdom
- UK NERC National Centre for Earth Observation (NCEO), Michael Atiyah Building, University of Leicester, University Road, LE1 7RH, Leicester, United Kingdom
| | - Simon L. Lewis
- Department of Geography, University College London, Gower Street, WC1E 6BT, London, United Kingdom
- School of Geography, University of Leeds, LS2 9JT, Leeds, United Kingdom
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Calders K, Newnham G, Burt A, Murphy S, Raumonen P, Herold M, Culvenor D, Avitabile V, Disney M, Armston J, Kaasalainen M. Nondestructive estimates of above‐ground biomass using terrestrial laser scanning. Methods Ecol Evol 2014. [DOI: 10.1111/2041-210x.12301] [Citation(s) in RCA: 355] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Kim Calders
- Laboratory of Geo‐Information Science and Remote Sensing Wageningen University Droevendaalsesteeg 3 Wageningen 6708 PBThe Netherlands
| | - Glenn Newnham
- CSIRO Land and Water Private Bag 10 Clayton South Vic.3169Australia
| | - Andrew Burt
- Department of Geography University College London Gower Street London WC1E 6BTUK
| | - Simon Murphy
- Melbourne School of Land and Environment University of Melbourne 500 Yarra Boulevard Richmond Vic. 3121Australia
| | - Pasi Raumonen
- Department of Mathematics Tampere University of Technology P.O. Box 553 FI‐33101Tampere Finland
| | - Martin Herold
- Laboratory of Geo‐Information Science and Remote Sensing Wageningen University Droevendaalsesteeg 3 Wageningen 6708 PBThe Netherlands
| | - Darius Culvenor
- Environmental Sensing Systems 16 Mawby Road Bentleigh East Vic.3165 Australia
| | - Valerio Avitabile
- Laboratory of Geo‐Information Science and Remote Sensing Wageningen University Droevendaalsesteeg 3 Wageningen 6708 PBThe Netherlands
| | - Mathias Disney
- Department of Geography University College London Gower Street London WC1E 6BTUK
- NERC National Centre for Earth Observation UK
| | - John Armston
- Remote Sensing Centre Department of Science Information Technology, Innovation and the Arts Ecosciences Precinct 41 Boggo Road Dutton Park Qld4102Australia
- Joint Remote Sensing Research Programme School of Geography, Planning and Environmental Management University of Queensland Brisbane Qld4072Australia
| | - Mikko Kaasalainen
- Department of Mathematics Tampere University of Technology P.O. Box 553 FI‐33101Tampere Finland
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Widlowski JL, Taberner M, Pinty B, Bruniquel-Pinel V, Disney M, Fernandes R, Gastellu-Etchegorry JP, Gobron N, Kuusk A, Lavergne T, Leblanc S, Lewis PE, Martin E, Mõttus M, North PRJ, Qin W, Robustelli M, Rochdi N, Ruiloba R, Soler C, Thompson R, Verhoef W, Verstraete MM, Xie D. Third Radiation Transfer Model Intercomparison (RAMI) exercise: Documenting progress in canopy reflectance models. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jd007821] [Citation(s) in RCA: 160] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Pinty B, Widlowski JL, Taberner M, Gobron N, Verstraete MM, Disney M, Gascon F, Gastellu JP, Jiang L, Kuusk A, Lewis P, Li X, Ni-Meister W, Nilson T, North P, Qin W, Su L, Tang S, Thompson R, Verhoef W, Wang H, Wang J, Yan G, Zang H. Radiation Transfer Model Intercomparison (RAMI) exercise: Results from the second phase. ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2003jd004252] [Citation(s) in RCA: 111] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- B. Pinty
- Global Vegetation Monitoring Unit; Institute for Environment and Sustainability, EC Joint Research Centre; Ispra Italy
| | - J.-L. Widlowski
- Global Vegetation Monitoring Unit; Institute for Environment and Sustainability, EC Joint Research Centre; Ispra Italy
| | - M. Taberner
- Global Vegetation Monitoring Unit; Institute for Environment and Sustainability, EC Joint Research Centre; Ispra Italy
| | - N. Gobron
- Global Vegetation Monitoring Unit; Institute for Environment and Sustainability, EC Joint Research Centre; Ispra Italy
| | - M. M. Verstraete
- Global Vegetation Monitoring Unit; Institute for Environment and Sustainability, EC Joint Research Centre; Ispra Italy
| | - M. Disney
- Center for Terrestrial Carbon Dynamics, Department of Geography; University College London; London UK
| | - F. Gascon
- Land Surface Unit; European Space Agency; Noordwijk Netherlands
| | - J.-P. Gastellu
- Centre d'Études Spatiales de la Biosphère; Toulouse France
| | - L. Jiang
- Department of Geography; Beijing Normal University; Beijing China
| | - A. Kuusk
- Tartu Observatory; Tõravere Estonia
| | - P. Lewis
- Center for Terrestrial Carbon Dynamics, Department of Geography; University College London; London UK
| | - X. Li
- Department of Geography; Beijing Normal University; Beijing China
| | - W. Ni-Meister
- Department of Geography; Hunter College, City University of New York; New York USA
| | | | - P. North
- Climate and Land Surface Systems Interaction Centre, Department of Geography; University of Wales; Swansea UK
| | - W. Qin
- Science Systems and Applications, Inc.; Greenbelt Maryland USA
| | - L. Su
- Department of Geography; Beijing Normal University; Beijing China
| | - S. Tang
- Department of Geography; Beijing Normal University; Beijing China
| | - R. Thompson
- Alachua Research Institute; Alachua Florida USA
| | - W. Verhoef
- Remote Sensing Department; National Aerospace Laboratory NLR; Emmeloord Netherlands
| | - H. Wang
- Department of Geography; Beijing Normal University; Beijing China
| | - J. Wang
- Department of Geography; Beijing Normal University; Beijing China
| | - G. Yan
- Department of Geography; Beijing Normal University; Beijing China
| | - H. Zang
- Department of Geography; Beijing Normal University; Beijing China
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Kelt DA, Johnson M, Van Vuren D, Stapp P, Bakker V, Disney M, Floyd C, McEachern MB, Pagel JE. Morrison, M. L., B. G. Marcot, and R. W. Mannan. 1998. WILDLIFE-HABITAT RELATIONSHIPS: CONCEPTS AND APPLICATIONS. Second ed. University of Wisconsin Press, Madison, Wisconsin. ISBN 0-299-15670-0, price (cloth), $34.95. J Mammal 1999. [DOI: 10.2307/1383193] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Kasten BL, Schrand P, Disney M. Strategic planning for an integrated bar code system. MLO Med Lab Obs 1993; 25:42-6. [PMID: 10123455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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Kasten BL, Schrand P, Disney M. Joining the bar code revolution. MLO Med Lab Obs 1992; 24:22-5. [PMID: 10123084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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