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  • 1
    Publication Date: 2016-04-14
    Description: Corrigendum: Mapping tree density at a global scale Nature 532, 7598 (2016). doi:10.1038/nature16178 Authors: T. W. Crowther, H. B. Glick, K. R. Covey, C. Bettigole, D. S. Maynard, S. M. Thomas, J. R. Smith, G. Hintler, M. C. Duguid, G. Amatulli, M.-N. Tuanmu, W. Jetz, C. Salas, C. Stam, D. Piotto, R. Tavani, S. Green, G. Bruce, S. J. Williams, S. K. Wiser, M. O. Huber, G. M. Hengeveld, G.-J. Nabuurs, E. Tikhonova, P. Borchardt, C.-F. Li, L. W. Powrie, M. Fischer, A. Hemp, J. Homeier, P. Cho, A. C. Vibrans, P. M. Umunay, S. L. Piao, C. W. Rowe, M. S. Ashton, P. R. Crane & M. A. Bradford Nature525, 201–205 (2015); doi:10.1038/nature14967In the first boldface paragraph of this Article, the global number of trees should be approximately ‘1.30 trillion’ (rather than ‘1.39 trillion’) for tropical and subtropical forests and ‘0.66 trillion’ (rather than ‘0.61
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 2
    Publication Date: 2015-12-18
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Crowther, T W -- Glick, H B -- Covey, K R -- Bettigole, C -- Maynard, D S -- Thomas, S M -- Smith, J R -- Hintler, G -- Duguid, M C -- Amatulli, G -- Tuanmu, M-N -- Jetz, W -- Salas, C -- Stam, C -- Piotto, D -- Tavani, R -- Green, S -- Bruce, G -- Williams, S J -- Wiser, S K -- Huber, M O -- Hengeveld, G M -- Nabuurs, G-J -- Tikhonova, E -- Borchardt, P -- Li, C-F -- Powrie, L W -- Fischer, M -- Hemp, A -- Homeier, J -- Cho, P -- Vibrans, A C -- Umunay, P M -- Piao, S L -- Rowe, C W -- Ashton, M S -- Crane, P R -- Bradford, M A -- England -- Nature. 2016 Apr 14;532(7598):268. doi: 10.1038/nature16178. Epub 2015 Dec 16.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26675733" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2015-09-04
    Description: The global extent and distribution of forest trees is central to our understanding of the terrestrial biosphere. We provide the first spatially continuous map of forest tree density at a global scale. This map reveals that the global number of trees is approximately 3.04 trillion, an order of magnitude higher than the previous estimate. Of these trees, approximately 1.39 trillion exist in tropical and subtropical forests, with 0.74 trillion in boreal regions and 0.61 trillion in temperate regions. Biome-level trends in tree density demonstrate the importance of climate and topography in controlling local tree densities at finer scales, as well as the overwhelming effect of humans across most of the world. Based on our projected tree densities, we estimate that over 15 billion trees are cut down each year, and the global number of trees has fallen by approximately 46% since the start of human civilization.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Crowther, T W -- Glick, H B -- Covey, K R -- Bettigole, C -- Maynard, D S -- Thomas, S M -- Smith, J R -- Hintler, G -- Duguid, M C -- Amatulli, G -- Tuanmu, M-N -- Jetz, W -- Salas, C -- Stam, C -- Piotto, D -- Tavani, R -- Green, S -- Bruce, G -- Williams, S J -- Wiser, S K -- Huber, M O -- Hengeveld, G M -- Nabuurs, G-J -- Tikhonova, E -- Borchardt, P -- Li, C-F -- Powrie, L W -- Fischer, M -- Hemp, A -- Homeier, J -- Cho, P -- Vibrans, A C -- Umunay, P M -- Piao, S L -- Rowe, C W -- Ashton, M S -- Crane, P R -- Bradford, M A -- England -- Nature. 2015 Sep 10;525(7568):201-5. doi: 10.1038/nature14967. Epub 2015 Sep 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Yale School of Forestry and Environmental Studies, Yale University, New Haven, Connecticut 06511, USA. ; Department of Environmental Sciences, University of Helsinki, Helsinki 00014, Finland. ; Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut 06511, USA. ; Department of Life Sciences, Silwood Park, Imperial College, London SL5 7PY, UK. ; Departamento de Ciencias Forestales, Universidad de La Frontera, Temuco 4811230, Chile. ; RedCastle Resources, Salt Lake City, Utah 84103, USA. ; Universidade Federal do Sul da Bahia, Ferradas, Itabuna 45613-204, Brazil. ; Forestry Department, Food and Agriculture Organization of the United Nations, Rome 00153, Italy. ; Operation Wallacea, Spilbsy, Lincolnshire PE23 4EX, UK. ; Durrell Institute of Conservation and Ecology (DICE), School of Anthropology and Conservation (SAC), University of Kent, Canterbury ME4 4AG, UK. ; Molecular Imaging Research Center MIRCen/CEA, CNRS URA 2210, 91401 Orsay Cedex, France. ; Landcare Research, Lincoln 7640, New Zealand. ; WSL, Swiss Federal Institute for Forest, Snow and Landscape Research, 8903 Birmensdorf, Switzerland. ; Environmental Science Group, Wageningen University &Research Centre, 6708 PB, The Netherlands. ; Center for Forest Ecology and Productivity RAS, Moscow 117997, Russia. ; CEN Center for Earth System Research and Sustainability, Institute of Geography, University of Hamburg, Hamburg 20146, Germany. ; Department of Botany and Zoology, Masaryk University, Brno 61137, Czech Republic. ; South African National Biodiversity Institute, Kirstenbosch Research Centre, Claremont 7735, South Africa. ; Institute of Plant Sciences, Botanical Garden, and Oeschger Centre for Climate Change Research, University of Bern, 3013 Bern, Switzerland. ; Senckenberg Gesellschaft fur Naturforschung, Biodiversity and Climate Research Centre (BIK-F), 60325 Frankfurt, Germany. ; Department of Plant Systematics, University of Bayreuth, 95447 Bayreuth, Germany. ; Albrecht von Haller Institute of Plant Sciences, Georg August University of Gottingen, 37073 Gottingen, Germany. ; Tropical Ecology Research Group, Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK. ; Universidade Regional de Blumenau, Departamento de Engenharia Florestal, Blumenau/Santa Catarina 89030-000, Brazil. ; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26331545" target="_blank"〉PubMed〈/a〉
    Keywords: Ecology/statistics & numerical data ; Ecosystem ; Forestry/statistics & numerical data ; *Forests ; *Geographic Mapping ; Population Density ; Reproducibility of Results ; Trees/*growth & development
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2015-12-16
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 5
    Publication Date: 2015-09-02
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 6
    Publication Date: 2023-01-06
    Description: National forest inventories (NFIs) are a reliable source for national forest measurements. However, they are usually not developed for linking with remotely sensed (RS) biomass information. There are increasing needs and opportunities to facilitate this link towards better global and national biomass estimation. Thus, it is important to study and understand NFI characteristics relating to their integration with space-based products; in particular for the tropics where NFIs are quite recent, less frequent, and partially incomplete in several countries. Here, we (1) assessed NFIs in terms of their availability, temporal distribution, and extent in 236 countries from FAO's Global Forest Resources Assessment (FRA) 2020; (2) compared national forest biomass estimates in 2018 from FRA and global space-based Climate Change Initiative (CCI) product in 182 countries considering NFI availability and temporality; and (3) analyzed the latest NFI design characteristics in 46 tropical countries relating to their integration with space-based biomass datasets. We observed significant NFI availability globally and multiple NFIs were mostly found in temperate and boreal countries while most of the single NFI countries (94 %) were in the tropics. The latest NFIs were more recent in the tropics and many countries (35) implemented NFIs from 2016 onwards. The increasing availability and update of NFIs create new opportunities for integration with space-based data at the national level. This is supported by the agreement we found between country biomass estimates for 2018 from FRA and CCI product, with a significantly higher correlation in countries with recent NFIs. We observed that NFI designs varied greatly in tropical countries. For example, the size of the plots ranged from 0.01 to 1 ha and more than three-quarters of the countries had smaller plots of ≤0.25 ha. The existing NFI designs could pose specific challenges for statistical integration with RS data in the tropics. Future NFI and space-based efforts should aim towards a more integrated approach taking advantage of both data streams to improve national estimates and help future data harmonization efforts. Regular NFI efforts can be expanded with the inclusion of some super-site plots to enhance data integration with currently available space-based applications. Issues related to cost implications versus improvements in the accuracy, timeliness, and sustainability of national forest biomass estimation should be further explored.
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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