7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Mapping Atlantic rainforest degradation and regeneration history with indicator species using convolutional network

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The Atlantic rainforest of Brazil is one of the global terrestrial hotspots of biodiversity. Despite having undergone large scale deforestation, forest cover has shown signs of increases in the last decades. Here, to understand the degradation and regeneration history of Atlantic rainforest remnants near São Paulo, we combine a unique dataset of very high resolution images from Worldview-2 and Worldview-3 (0.5 and 0.3m spatial resolution, respectively), georeferenced aerial photographs from 1962 and use a deep learning method called U-net to map (i) the forest cover and changes and (ii) two pioneer tree species, Cecropia hololeuca and Tibouchina pulchra. For Tibouchina pulchra, all the individuals were mapped in February, when the trees undergo mass-flowering with purple and pink blossoms. Additionally, elevation data at 30m spatial resolution from NASA Shuttle Radar Topography Mission (SRTM) and annual mean climate variables (Terraclimate datasets at ∼ 4km of spatial resolution) were used to analyse the forest and species distributions. We found that natural forests are currently more frequently found on south-facing slopes, likely because of geomorphology and past land use, and that Tibouchina is restricted to the wetter part of the region (southern part), which annually receives at least 1600 mm of precipitation. Tibouchina pulchra was found to clearly indicate forest regeneration as almost all individuals were found within or adjacent to forests regrown after 1962. By contrast, Cecropia hololeuca was found to indicate older disturbed forests, with all individuals almost exclusively found in forest fragments already present in 1962. At the regional scale, using the dominance maps of both species, we show that at least 4.3% of the current region’s natural forests have regrown after 1962 ( Tibouchina dominated, ∼ 4757 ha) and that ∼ 9% of the old natural forests have experienced significant disturbance ( Cecropia dominated).

          Related collections

          Most cited references29

          • Record: found
          • Abstract: found
          • Article: not found

          Biodiversity Loss Threatens Human Well-Being

          Biodiversity lies at the core of ecosystem processes fueling our planet's vital life-support systems; its degradation--by us--is threatening our own well-being and will disproportionately impact the poor.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Automatic Panoramic Image Stitching using Invariant Features

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Hill shading and the reflectance map

                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draft
                Role: MethodologyRole: SoftwareRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2020
                28 February 2020
                : 15
                : 2
                : e0229448
                Affiliations
                [1 ] Remote Sensing Division, National Institute for Space Research - INPE, São José dos Campos, SP, Brazil
                [2 ] Geoprocessing Division, Foundation for Science, Technology and Space Applications - FUNCATE, São José dos Campos, SP, Brazil
                [3 ] Department of Plant Physiology and Biochemistry, Institute of Botany, São Paulo, Brazil
                [4 ] Center for Earth System Science, National Institute for Space Research - INPE, São José dos Campos, SP, Brazil
                [5 ] Inria Sophia Antipolis, Sophia Antipolis, France
                [6 ] Luxcarta Technology, Parc d’Activité l’Argile, Mouans Sartoux, France
                [7 ] Ecology and Global Change, School of Geography, University of Leeds, Leeds, England, United Kingdom
                [8 ] College of Life and Environmental Sciences, University of Exeter, Exeter, England, United Kingdom
                University of Waikato, NEW ZEALAND
                Author notes

                Competing Interests: The authors have read the journal’s policy and have the following conflicts: YT is employed by Luxcarta Technology. This does not alter our adherence to all the PLOS ONE policies on sharing data and materials.

                Author information
                http://orcid.org/0000-0002-9623-1182
                http://orcid.org/0000-0001-7966-2880
                Article
                PONE-D-19-23068
                10.1371/journal.pone.0229448
                7048271
                32109946
                0a1f6956-46e5-43c1-9962-58cb39f8f055
                © 2020 Wagner et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 August 2019
                : 6 February 2020
                Page count
                Figures: 10, Tables: 2, Pages: 24
                Funding
                Funded by: FAPESP
                Award ID: 2015/50484-0
                Award Recipient :
                Funded by: FAPESP
                Award ID: 2016/17652-9
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000270, Natural Environment Research Council;
                Award ID: NE/N012542/1
                Award Recipient :
                Funded by: FAPESP
                Award ID: 2016/03397-7
                Award Recipient :
                Funded by: FAPESP
                Award ID: 2012/51872-5
                Award Recipient :
                Funded by: FAPESP
                Award ID: 2012/51872-5
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000270, Natural Environment Research Council;
                Award ID: NE/K016431/1
                Award Recipient :
                Funded by: ANR
                Award ID: ANR-17-CE23-0009
                Award Recipient :
                Funded by: FAPESP
                Award ID: 2013/50533-5
                Award Recipient :
                Funded by: FAPESP
                Award ID: 305054/2016-3
                Award Recipient :
                The research leading to these results received funding from the project BIO-RED ‘Biomes of Brazil -- Resilience, Recovery, and Diversity’, which is supported by the São Paulo Research Foundation (FAPESP, 2015/50484-0) and the U.K. Natural Environment Research Council (NERC, NE/N012542/1). F.H.W. has been funded by FAPESP (grant 2016/17652-9). A.S. acknowledges the support of the FAPESP (grant 2016/03397-7). M.P.M.A. has been funded by ECOFOR Project, BIOTA-FAPESP (grant number 2012/51872-5). A.L.C.R. has been funded by supported by the State of São Paulo Research Foundation/FAPESP as part of the project ECOFOR (Process number 2012/51872-5) within the BIOTA/FAPESP Program - The Biodiversity Virtual Institute ( www.biota.org.br) and co-supported by the British Natural Environment Research Council/NERC (NE/K016431/1). M.G.F acknowledges the support of Capes through a postdoctoral fellowship. Y.T. has been funded by the project EPITOME ANR-17-CE23-0009 of the French National Research Agency (ANR). L.E.O.C.A. thank the support of FAPESP (grant 2013/50533-5) and CNPq (grant 305054/2016-3). We also thank the Amazon Fund through the financial collaboration of the Brazilian Development Bank (BNDES) and the Foundation for Science, Technology and Space Applications (FUNCATE) no. 17.2.0536.1 (Environmental Monitoring of Brazilian Biomes). The funders (FAPESP, NERC, Capes, ANR and Luxcarta Technology) provided support in the form of salaries for authors F.W., A.S., Y.T. and M.G.F., but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.
                Categories
                Research Article
                Biology and Life Sciences
                Ecology
                Ecosystems
                Forests
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Forests
                Ecology and Environmental Sciences
                Terrestrial Environments
                Forests
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Trees
                Biology and Life Sciences
                Ecology
                Ecosystems
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Research and Analysis Methods
                Imaging Techniques
                People and places
                Geographical locations
                South America
                Brazil
                Biology and Life Sciences
                Ecology
                Biodiversity
                Ecology and Environmental Sciences
                Ecology
                Biodiversity
                Computer and Information Sciences
                Artificial Intelligence
                Machine Learning
                Deep Learning
                Engineering and Technology
                Remote Sensing
                Custom metadata
                The Worldview images and the 1962 aerial images are owned by DigitalGlobe and Emplasa, respectively, and cannot be shared publicly. However, a code example of the U-net model with a simulated Worldview image for reproducibility is available ( https://doi.org/10.5281/zenodo.3601503) and the data of the maps presented in the Fig 8 are available on a public repository ( https://doi.org/10.5281/zenodo.3601487). The authors confirm they had no special access or privileges to the Worldview images that other researchers would not have.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article