IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v380y2018icp22-30.html
   My bibliography  Save this article

Improving the validation of ecological niche models with remote sensing analysis

Author

Listed:
  • José-Silva, Leandro
  • dos Santos, Reginaldo Carvalho
  • de Lima, Bruna Martins
  • Lima, Mendelson
  • de Oliveira-Júnior, José Francisco
  • Teodoro, Paulo Eduardo
  • Eisenlohr, Pedro V.
  • da Silva Junior, Carlos Antonio

Abstract

Ecological Niche models (ENMs) are tools that allow us to approximate the area of suitability for a species, thereby allowing elaboration of conservation strategies. The validation of these models in situ is not always possible due to costly access remote areas where conserved species are often found. The goal of our study was to provide a new validation concept for ENMs by applying remote sensing (SR) techniques, such as Geographic Object-Based Image Analysis (GEOBIA), which enables mapping of large areas and provides detailed information on land use. To assess the GEOBIA validation technique, we selected the species Bertholletia excelsa (Brazil nut), a tree that has great importance as a non-timber forest product and is considered vulnerable by the International Union for Conservation of Nature (IUCN). Models were built on the ‘biomod2’ package, and evaluation was conducted using the area under the receiver operating characteristic curve (AUC) and True Skill Statistics (TSS) metrics. Images were obtained from the orbital Operational Land Imager (OLI) on board the Landsat-8 satellite and the thematic maps were evaluated using Kappa and Overall Accuracy Statistics. We calculated vegetation indices (EVI, SAVI, LAI, and NDVI) and applied them to the GEOBIA technique. A total of 693 possible sites of B. excelsa were detected. Of these, 25 accessible sites were used for validation, and 45 new records of B. excelsa were added in the study area. GEOBIA was demonstrated to have high potential for validating ENMs, as well as in the extraction of arboreal species from medium-resolution spatial images.

Suggested Citation

  • José-Silva, Leandro & dos Santos, Reginaldo Carvalho & de Lima, Bruna Martins & Lima, Mendelson & de Oliveira-Júnior, José Francisco & Teodoro, Paulo Eduardo & Eisenlohr, Pedro V. & da Silva Junior, C, 2018. "Improving the validation of ecological niche models with remote sensing analysis," Ecological Modelling, Elsevier, vol. 380(C), pages 22-30.
    • Handle: RePEc:eee:ecomod:v:380:y:2018:i:c:p:22-30
    DOI: 10.1016/j.ecolmodel.2018.04.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380018301303
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2018.04.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lei Zhang & Shirong Liu & Pengsen Sun & Tongli Wang & Guangyu Wang & Xudong Zhang & Linlin Wang, 2015. "Consensus Forecasting of Species Distributions: The Effects of Niche Model Performance and Niche Properties," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-18, March.
    2. Silva, C.A. & Lima, Mendelson, 2018. "Soy Moratorium in Mato Grosso: Deforestation undermines the agreement," Land Use Policy, Elsevier, vol. 71(C), pages 540-542.
    3. Norman Myers & Russell A. Mittermeier & Cristina G. Mittermeier & Gustavo A. B. da Fonseca & Jennifer Kent, 2000. "Biodiversity hotspots for conservation priorities," Nature, Nature, vol. 403(6772), pages 853-858, February.
    4. David Tilman & Michael Clark & David R. Williams & Kaitlin Kimmel & Stephen Polasky & Craig Packer, 2017. "Future threats to biodiversity and pathways to their prevention," Nature, Nature, vol. 546(7656), pages 73-81, June.
    5. Peterson, A. Townsend & Papeş, Monica & Soberón, Jorge, 2008. "Rethinking receiver operating characteristic analysis applications in ecological niche modeling," Ecological Modelling, Elsevier, vol. 213(1), pages 63-72.
    6. Michel Loreau & Alfred Oteng-Yeboah & M. T. K. Arroyo & D. Babin & R. Barbault & M. Donoghue & M. Gadgil & C. Häuser & C. Heip & A. Larigauderie & K. Ma & G. Mace & H. A. Mooney & C. Perrings & P. Rav, 2006. "Diversity without representation," Nature, Nature, vol. 442(7100), pages 245-246, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yinglian Qi & Xiaoyan Pu & Yaxiong Li & Dingai Li & Mingrui Huang & Xuan Zheng & Jiaxin Guo & Zhi Chen, 2022. "Prediction of Suitable Distribution Area of Plateau pika ( Ochotona curzoniae ) in the Qinghai–Tibet Plateau under Shared Socioeconomic Pathways (SSPs)," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    2. Herkt, K. Matthias B. & Barnikel, Günter & Skidmore, Andrew K. & Fahr, Jakob, 2016. "A high-resolution model of bat diversity and endemism for continental Africa," Ecological Modelling, Elsevier, vol. 320(C), pages 9-28.
    3. Minerva Singh & Jessamine Badcock-Scruton & C. Matilda Collins, 2021. "What Will Remain? Predicting the Representation in Protected Areas of Suitable Habitat for Endangered Tropical Avifauna in Borneo under a Combined Climate- and Land-Use Change Scenario," Sustainability, MDPI, vol. 13(5), pages 1-14, March.
    4. Lucas Kruger, 2018. "Population Estimates of Trindade Petrel (Pterodroma arminjoniana) by Ensemble Nesting Habitat Modelling," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 10(4), pages 145-157, April.
    5. Morgan Gray & Elisabeth Micheli & Tosha Comendant & Adina Merenlender, 2020. "Quantifying Climate-Wise Connectivity across a Topographically Diverse Landscape," Land, MDPI, vol. 9(10), pages 1-18, September.
    6. Regina Gabriela Medina & Andrés Lira-Noriega & Ezequiel Aráoz & María Laura Ponssa, 2020. "Potential effects of climate change on a Neotropical frog genus: changes in the spatial diversity patterns of Leptodactylus (Anura, Leptodactylidae) and implications for their conservation," Climatic Change, Springer, vol. 161(4), pages 535-553, August.
    7. Laxmi D. Bhatta & Sunita Chaudhary & Anju Pandit & Himlal Baral & Partha J. Das & Nigel E. Stork, 2016. "Ecosystem Service Changes and Livelihood Impacts in the Maguri-Motapung Wetlands of Assam, India," Land, MDPI, vol. 5(2), pages 1-14, June.
    8. Rami Al Sidawi & Teo Urushadze & Angelika Ploeger, 2020. "Changes in Dairy Products Value Chain in Georgia," Sustainability, MDPI, vol. 12(15), pages 1-29, July.
    9. Christopher Hassall & Michael Nisbet & Evan Norcliffe & He Wang, 2024. "The Potential Health Benefits of Urban Tree Planting Suggested through Immersive Environments," Land, MDPI, vol. 13(3), pages 1-12, February.
    10. McLennan, D. & Sharma, R., 2012. "The Delivering Ecological Services Index (DESI)," Working papers 119, Rimisp Latin American Center for Rural Development.
    11. Wiltshire, Kathryn H & Tanner, Jason E, 2020. "Comparing maximum entropy modelling methods to inform aquaculture site selection for novel seaweed species," Ecological Modelling, Elsevier, vol. 429(C).
    12. Kristian Steensen Nielsen & Theresa M. Marteau & Jan M. Bauer & Richard B. Bradbury & Steven Broad & Gayle Burgess & Mark Burgman & Hilary Byerly & Susan Clayton & Dulce Espelosin & Paul J. Ferraro & , 2021. "Biodiversity conservation as a promising frontier for behavioural science," Nature Human Behaviour, Nature, vol. 5(5), pages 550-556, May.
    13. Caviedes, Julián & Ibarra, José Tomás & Calvet-Mir, Laura & Álvarez-Fernández, Santiago & Junqueira, André Braga, 2024. "Indigenous and local knowledge on social-ecological changes is positively associated with livelihood resilience in a Globally Important Agricultural Heritage System," Agricultural Systems, Elsevier, vol. 216(C).
    14. Maeda, Eduardo Eiji & Clark, Barnaby J.F. & Pellikka, Petri & Siljander, Mika, 2010. "Modelling agricultural expansion in Kenya's Eastern Arc Mountains biodiversity hotspot," Agricultural Systems, Elsevier, vol. 103(9), pages 609-620, November.
    15. Jaiswal, Sreeja & Balietti, Anca & Schäffer, Daniel, 2023. "Environmental Protection and Labor Market Composition," Working Papers 0736, University of Heidelberg, Department of Economics.
    16. Chomitz, Kenneth M. & Thomas, Timothy S. & Brandão, Antônio Salazar P., 2005. "The economic and environmental impact of trade in forest reserve obligations: a simulation analysis of options for dealing with habitat heterogeneity," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 43(4), January.
    17. Kathrin Stenchly & Marc Victor Hansen & Katharina Stein & Andreas Buerkert & Wilhelm Loewenstein, 2018. "Income Vulnerability of West African Farming Households to Losses in Pollination Services: A Case Study from Ouagadougou, Burkina Faso," Sustainability, MDPI, vol. 10(11), pages 1-12, November.
    18. Václavík, Tomáš & Meentemeyer, Ross K., 2009. "Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions?," Ecological Modelling, Elsevier, vol. 220(23), pages 3248-3258.
    19. Wongsathit Wongloet & Prach Kongthong & Aingorn Chaiyes & Worapong Singchat & Warong Suksavate & Nattakan Ariyaraphong & Thitipong Panthum & Artem Lisachov & Kitipong Jaisamut & Jumaporn Sonongbua & T, 2023. "Genetic Monitoring of the Last Captive Population of Greater Mouse-Deer on the Thai Mainland and Prediction of Habitat Suitability before Reintroduction," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
    20. Inês Silva & Matthew Crane & Pongthep Suwanwaree & Colin Strine & Matt Goode, 2018. "Using dynamic Brownian Bridge Movement Models to identify home range size and movement patterns in king cobras," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-20, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:380:y:2018:i:c:p:22-30. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.