IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v531y2016i7594d10.1038_nature16457.html
   My bibliography  Save this article

Dry-season greening of Amazon forests

Author

Listed:
  • Scott R. Saleska

    (Ecology and Evolutionary Biology, University of Arizona)

  • Jin Wu

    (Ecology and Evolutionary Biology, University of Arizona)

  • Kaiyu Guan

    (Environmental and Earth System Science, Stanford University)

  • Alessandro C. Araujo

    (Embrapa Amazonia Oriental)

  • Alfredo Huete

    (Plant Functional Biology and Climate Change Cluster, University of Technology Sydney)

  • Antonio D. Nobre

    (National Institute for Space Research (INPE) and National Institute for Amazonian Research (INPA))

  • Natalia Restrepo-Coupe

    (Plant Functional Biology and Climate Change Cluster, University of Technology Sydney)

Abstract

No abstract is available for this item.

Suggested Citation

  • Scott R. Saleska & Jin Wu & Kaiyu Guan & Alessandro C. Araujo & Alfredo Huete & Antonio D. Nobre & Natalia Restrepo-Coupe, 2016. "Dry-season greening of Amazon forests," Nature, Nature, vol. 531(7594), pages 4-5, March.
  • Handle: RePEc:nat:nature:v:531:y:2016:i:7594:d:10.1038_nature16457
    DOI: 10.1038/nature16457
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature16457
    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/nature16457?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Matheus Henrique Nunes & José Luís Campana Camargo & Grégoire Vincent & Kim Calders & Rafael S. Oliveira & Alfredo Huete & Yhasmin Mendes de Moura & Bruce Nelson & Marielle N. Smith & Scott C. Stark &, 2022. "Forest fragmentation impacts the seasonality of Amazonian evergreen canopies," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Runqing Zhang & Xiaoyu E & Zhencheng Ma & Yinghe An & Qinggele Bao & Zhixiang Wu & Lan Wu & Zhongyi Sun, 2024. "Drought Sensitivity and Vulnerability of Rubber Plantation GPP—Insights from Flux Site-Based Simulation," Land, MDPI, vol. 13(6), pages 1-16, May.

    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:nature:v:531:y:2016:i:7594:d:10.1038_nature16457. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.