Forest phenoclusters for Argentina based on vegetation phenology and climate-Reference-Cited by-同舟云学术

Forest phenoclusters for Argentina based on vegetation phenology and climate

Published:2022-03-21 Issue:3 Volume:32 Page:
ISSN:1051-0761
Container-title:Ecological Applications
language:en
Short-container-title:Ecological Applications

Author:

Silveira Eduarda M. O.¹^ORCID,Radeloff Volker C.¹^ORCID,Martínez Pastur Guillermo J.²,Martinuzzi Sebastián¹,Politi Natalia³,Lizarraga Leonidas⁴,Rivera Luis O.³,Gavier‐Pizarro Gregorio I.⁵,Yin He⁶,Rosas Yamina M.²,Calamari Noelia C.⁵,Navarro María F.⁵,Sica Yanina⁷,Olah Ashley M.¹^ORCID,Bono Julieta⁸,Pidgeon Anna M.¹

Affiliation:

1. SILVIS Lab, Department of Forest and Wildlife Ecology University of Wisconsin–Madison Madison Wisconsin USA

2. Centro Austral de Investigaciones Científicas (CADIC) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) Ushuaia Argentina

3. Instituto de Ecoregiones Andinas (INECOA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) Jujuy Argentina

4. Dirección Regional Noroeste Administración de Parques Nacionales Salta Argentina

5. Instituto Nacional de Tecnologia Agropecuaria (INTA) Buenos Aires Argentina

6. Department of Geography Kent State University Kent Ohio USA

7. Department of Ecology and Evolutionary Biology Yale University New Haven Connecticut USA

8. Dirección Nacional de Bosques Ministerio de Ambiente y Desarrollo Sostenible de la Nación Buenos Aires Argentina

Funder

National Aeronautics and Space Administration

Publisher

Wiley

Subject

Ecology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eap.2526

Reference127 articles.

1. Resource waves: phenological diversity enhances foraging opportunities for mobile consumers

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3. Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information

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5. A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data

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