IDEAS home Printed from https://ideas.repec.org/a/nat/natcli/v14y2024i6d10.1038_s41558-024-01989-1.html
   My bibliography  Save this article

Frugivores enhance potential carbon recovery in fragmented landscapes

Author

Listed:
  • Carolina Bello

    (Department of Environmental Systems Science)

  • Thomas W. Crowther

    (Department of Environmental Systems Science)

  • Danielle Leal Ramos

    (University of Exeter
    Universidade Estadual Paulista)

  • Teresa Morán-López

    (Universidad de Oviedo–CSIC–Principado de Asturias
    Universidad Nacional del Comahue)

  • Marco A. Pizo

    (Universidade Estadual Paulista)

  • Daisy H. Dent

    (Department of Environmental Systems Science
    Smithsonian Tropical Research Institute
    Max Planck Institute for Animal Behavior)

Abstract

Forest restoration is fundamental to overcoming biodiversity crises and climate change. In tropical forests, animals can improve forest recovery as they disperse >70% of tree species. However, representing animals in restoration and climate change policies remains challenging because a quantitative assessment of their contribution to forest and carbon recovery is lacking. Here we used individual-based models to assess frugivore-mediated seed rain in open areas along a fragmentation gradient. Movements of large birds were limited in landscapes with 40% is essential to optimizing animals’ contribution to restoration success. Active restoration (for example, planting trees) is required in more fragmented landscapes to achieve carbon and biodiversity targets.

Suggested Citation

  • Carolina Bello & Thomas W. Crowther & Danielle Leal Ramos & Teresa Morán-López & Marco A. Pizo & Daisy H. Dent, 2024. "Frugivores enhance potential carbon recovery in fragmented landscapes," Nature Climate Change, Nature, vol. 14(6), pages 636-643, June.
    • Handle: RePEc:nat:natcli:v:14:y:2024:i:6:d:10.1038_s41558-024-01989-1
    DOI: 10.1038/s41558-024-01989-1
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41558-024-01989-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/s41558-024-01989-1?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. Carpenter, Bob & Gelman, Andrew & Hoffman, Matthew D. & Lee, Daniel & Goodrich, Ben & Betancourt, Michael & Brubaker, Marcus & Guo, Jiqiang & Li, Peter & Riddell, Allen, 2017. "Stan: A Probabilistic Programming Language," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i01).
    2. Andrew Gelman & Ben Goodrich & Jonah Gabry & Aki Vehtari, 2019. "R-squared for Bayesian Regression Models," The American Statistician, Taylor & Francis Journals, vol. 73(3), pages 307-309, July.
    3. Baddeley, Adrian & Turner, Rolf, 2005. "spatstat: An R Package for Analyzing Spatial Point Patterns," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 12(i06).
    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. Adrian Rauchfleisch & Mike S Schäfer & Dario Siegen, 2021. "Beyond the ivory tower: Measuring and explaining academic engagement with journalists, politicians and industry representatives among Swiss professorss," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-20, May.
    2. Connor M. French & Laura D. Bertola & Ana C. Carnaval & Evan P. Economo & Jamie M. Kass & David J. Lohman & Katharine A. Marske & Rudolf Meier & Isaac Overcast & Andrew J. Rominger & Phillip P. A. Sta, 2023. "Global determinants of insect mitochondrial genetic diversity," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    3. Andrew J Tanentzap & Samuel Cottingham & Jérémy Fonvielle & Isobel Riley & Lucy M Walker & Samuel G Woodman & Danai Kontou & Christian M Pichler & Erwin Reisner & Laurent Lebreton, 2021. "Microplastics and anthropogenic fibre concentrations in lakes reflect surrounding land use," PLOS Biology, Public Library of Science, vol. 19(9), pages 1-18, September.
    4. Sonja Herrmann & Christian Nagel, 2023. "Early Careers of Graduates from Private and Public Universities in Germany: A Comparison of Income Differences Regarding the First Employment," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(1), pages 129-146, February.
    5. Magdalena Kogut-Jaworska & Elżbieta Ociepa-Kicińska, 2023. "Practical Implications of Smart Specialization Strategy: Barriers to Implementation, Role of the Public Sector, and Benefits for Entrepreneurs," SAGE Open, , vol. 13(2), pages 21582440231, June.
    6. Francis,David C. & Kubinec ,Robert, 2022. "Beyond Political Connections : A Measurement Model Approach to Estimating Firm-levelPolitical Influence in 41 Economies," Policy Research Working Paper Series 10119, The World Bank.
    7. Arii, Ken & Caspersen, John P. & Jones, Trevor A. & Thomas, Sean C., 2008. "A selection harvesting algorithm for use in spatially explicit individual-based forest simulation models," Ecological Modelling, Elsevier, vol. 211(3), pages 251-266.
    8. Yongping Bao & Ludwig Danwitz & Fabian Dvorak & Sebastian Fehrler & Lars Hornuf & Hsuan Yu Lin & Bettina von Helversen, 2022. "Similarity and Consistency in Algorithm-Guided Exploration," CESifo Working Paper Series 10188, CESifo.
    9. Heinrich, Torsten & Yang, Jangho & Dai, Shuanping, 2020. "Growth, development, and structural change at the firm-level: The example of the PR China," MPRA Paper 105011, University Library of Munich, Germany.
    10. Xin Xu & Yang Lu & Yupeng Zhou & Zhiguo Fu & Yanjie Fu & Minghao Yin, 2021. "An Information-Explainable Random Walk Based Unsupervised Network Representation Learning Framework on Node Classification Tasks," Mathematics, MDPI, vol. 9(15), pages 1-14, July.
    11. Frank Davenport, 2017. "Estimating standard errors in spatial panel models with time varying spatial correlation," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 155-177, March.
    12. Xiaoyue Xi & Simon E. F. Spencer & Matthew Hall & M. Kate Grabowski & Joseph Kagaayi & Oliver Ratmann & Rakai Health Sciences Program and PANGEA‐HIV, 2022. "Inferring the sources of HIV infection in Africa from deep‐sequence data with semi‐parametric Bayesian Poisson flow models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(3), pages 517-540, June.
    13. Leandro, Camila & Jay-Robert, Pierre & Mériguet, Bruno & Houard, Xavier & Renner, Ian W., 2020. "Is my sdm good enough? insights from a citizen science dataset in a point process modeling framework," Ecological Modelling, Elsevier, vol. 438(C).
    14. Joseph B. Bak-Coleman & Ian Kennedy & Morgan Wack & Andrew Beers & Joseph S. Schafer & Emma S. Spiro & Kate Starbird & Jevin D. West, 2022. "Combining interventions to reduce the spread of viral misinformation," Nature Human Behaviour, Nature, vol. 6(10), pages 1372-1380, October.
    15. David M. Phillippo & Sofia Dias & A. E. Ades & Mark Belger & Alan Brnabic & Alexander Schacht & Daniel Saure & Zbigniew Kadziola & Nicky J. Welton, 2020. "Multilevel network meta‐regression for population‐adjusted treatment comparisons," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1189-1210, June.
    16. Vijay Rajagopal & Gregory Bass & Cameron G Walker & David J Crossman & Amorita Petzer & Anthony Hickey & Ivo Siekmann & Masahiko Hoshijima & Mark H Ellisman & Edmund J Crampin & Christian Soeller, 2015. "Examination of the Effects of Heterogeneous Organization of RyR Clusters, Myofibrils and Mitochondria on Ca2+ Release Patterns in Cardiomyocytes," PLOS Computational Biology, Public Library of Science, vol. 11(9), pages 1-31, September.
    17. Christoph Lambio & Tillman Schmitz & Richard Elson & Jeffrey Butler & Alexandra Roth & Silke Feller & Nicolai Savaskan & Tobia Lakes, 2023. "Exploring the Spatial Relative Risk of COVID-19 in Berlin-Neukölln," IJERPH, MDPI, vol. 20(10), pages 1-22, May.
    18. Abdollah Jalilian, 2017. "Modelling and classification of species abundance: a case study in the Barro Colorado Island plot," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(13), pages 2401-2409, October.
    19. Éric Marcon & Florence Puech, 2023. "Mapping distributions in non-homogeneous space with distance-based methods [Cartographie des distributions dans un espace non homogène à l'aide de méthodes basées sur la distance]," Post-Print hal-04345149, HAL.
    20. Burbano, Vanessa & Padilla, Nicolas & Meier, Stephan, 2020. "Gender Differences in Preferences for Meaning at Work," IZA Discussion Papers 13053, Institute of Labor Economics (IZA).

    More about this item

    Statistics

    Access and download statistics

    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:nat:natcli:v:14:y:2024:i:6:d:10.1038_s41558-024-01989-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    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.