Lianas and soil nutrients predict fine-scale distribution of above-ground biomass in a tropical moist forest

Autoria(s): Ledo, Alicia; Illian, Janine B.; Schnitzer, Stefan A.; Joseph Wright, S; Dalling, James W.; Burslem, David F. R. P.
Contribuinte(s)

University of Aberdeen, School of Biological Sciences, Biological Sciences

University of Aberdeen, Environment and Food Security
Data(s)

05/08/2016

05/08/2016

28/06/2016
Resumo

Acknowledgements. This study was supported by the FP7-PEOPLE-2013-IEF Marie-Curie Action – SPATFOREST. Tree data from BCI were provided by the Center for Tropical Forest Science of the Smithsonian Tropical Research Institute and the primary granting agencies that have supported the BCI plot tree census. Data for the liana censuses were supported by the US National Science Foundation grants: DEB-0613666, DEB-0845071, and DEB-1019436 (to SAS). Soil data was funded by the National Science Foundation grants DEB021104, DEB021115, DEB0212284 and DEB0212818 supporting soils mapping in the BCI plot. We thank Helene Muller-Landau for providing some data on tree height for some BCI trees. We also thank all the people that contributed to obtain the data.

Peer reviewed

Postprint
Identificador

Ledo , A , Illian , J B , Schnitzer , S A , Joseph Wright , S , Dalling , J W & Burslem , D F R P 2016 , ' Lianas and soil nutrients predict fine-scale distribution of above-ground biomass in a tropical moist forest ' Journal of Ecology . , 10.1111/1365-2745.12635

0022-0477

PURE: 68782487

PURE UUID: d76779a5-5bb0-41f4-9575-db837622cc3a

http://hdl.handle.net/2164/7153

http://dx.doi.org/10.1111/1365-2745.12635
Idioma(s)

eng
Relação

Journal of Ecology
Direitos

This is the accepted version of the following article: FULL CITE, which has been published in final form at doi: 10.1111/1365-2745.12635. This article may beused for non-commercial purposes in accordance with the Wiley Self-Archiving Policy [http://olabout.wiley.com/WileyCDA/Section/id-828039.html].
Palavras-Chave #carbon dynamics #above-ground biomass spatial distribution #carbon stocks #resource competition #soil nutrients #liana #spatial statistics #INLA approach #QH301 Biology #QH301
Tipo

Journal article
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