Fine-root traits from common tree species in Puerto Rico before and after Hurricane María (2017-2018)

Yaffar, Daniela; Cabugao, Kristine; Norby, Rich; Childs, Joanne

doi:10.15486/ngt/1778242

Title: Fine-root traits from common tree species in Puerto Rico before and after Hurricane María (2017-2018)

Dataset
Other Related Research

Abstract

This dataset is a compilation of root trait measurements from common tree species in the Luquillo Experimental Forest in Puerto Rico taken in February 2017 (before Hurricane María), and in February 2018 (after the hurricane). This dataset is being used on a publication called "Tradeoffs in phosphorus acquisition strategies of five tree species in a tropical forest of Puerto Rico", where we describe belowground P-acquisition strategies of five common tree species (two pioneers and three non-pioneers) growing in the lowland tropical wet forests of Puerto Rico. Additionally, we used the unique opportunity of two consecutive hurricanes that passed over the island (Irma and Maria) to compare root traits before and after the hurricanes to determine which traits were the most responsive and whether such disturbance affected root trait relationships and trade-offs. For this, we sampled trees from EV1, SB2, and NGEE Tropics' plots EVV and EVR in 2017 (before hurricanes) and 2018 (after hurricanes). Morphological fine-root traits include root length, diameter, and SRL. Root architectural traits includes root branching ratio and intensity. Root physiological trait measured includes phosphatase activity, and root microbial association trait measured includes percentage mycorrhizal colonization. Chemistry data includes root phosphorus concentration, soil available, and organic phosphorus.

Authors:

Yaffar, Daniela; Cabugao, Kristine; Norby, Rich; Childs, Joanne

Univ de Puerto Rico; Lawrence Berkeley National Lab
Oak Ridge National Lab
ORNL

Publication Date:: Thu Dec 31 23:00:00 EST 2020

Other Number(s):: NGT0178

Research Org.:: Next-Generation Ecosystem Experiments Tropics; Oak Ridge National Laboratory

Sponsoring Org.:: DOE, office of Science, Biological and Environmental Research

Subject:: 54 ENVIRONMENTAL SCIENCES

OSTI Identifier:: 1778242

DOI:: https://doi.org/10.15486/ngt/1778242

Citation Formats


                    Yaffar, Daniela, Cabugao, Kristine, Norby, Rich, and Childs, Joanne. Fine-root traits from common tree species in Puerto Rico before and after Hurricane María (2017-2018).  United States: N. p., 2020. 
        Web.  doi:10.15486/ngt/1778242.

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                    Yaffar, Daniela, Cabugao, Kristine, Norby, Rich, & Childs, Joanne. Fine-root traits from common tree species in Puerto Rico before and after Hurricane María (2017-2018).  United States.  doi:https://doi.org/10.15486/ngt/1778242

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                    Yaffar, Daniela, Cabugao, Kristine, Norby, Rich, and Childs, Joanne. 2020.  
"Fine-root traits from common tree species in Puerto Rico before and after Hurricane María (2017-2018)".  United States.  doi:https://doi.org/10.15486/ngt/1778242.  https://www.osti.gov/servlets/purl/1778242. Pub date:Thu Dec 31 23:00:00 EST 2020

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@article{osti_1778242,

  title        = {Fine-root traits from common tree species in Puerto Rico before and after Hurricane María (2017-2018)},

  author       = {Yaffar, Daniela and Cabugao, Kristine and Norby, Rich and Childs, Joanne},

  abstractNote = {This dataset is a compilation of root trait measurements from common tree species in the Luquillo Experimental Forest in Puerto Rico taken in February 2017 (before Hurricane María), and in February 2018 (after the hurricane). This dataset is being used on a publication called "Tradeoffs in phosphorus acquisition strategies of five tree species in a tropical forest of Puerto Rico", where we describe belowground P-acquisition strategies of five common tree species (two pioneers and three non-pioneers) growing in the lowland tropical wet forests of Puerto Rico. Additionally, we used the unique opportunity of two consecutive hurricanes that passed over the island (Irma and Maria) to compare root traits before and after the hurricanes to determine which traits were the most responsive and whether such disturbance affected root trait relationships and trade-offs. For this, we sampled trees from EV1, SB2, and NGEE Tropics' plots EVV and EVR in 2017 (before hurricanes) and 2018 (after hurricanes). Morphological fine-root traits include root length, diameter, and SRL. Root architectural traits includes root branching ratio and intensity. Root physiological trait measured includes phosphatase activity, and root microbial association trait measured includes percentage mycorrhizal colonization. Chemistry data includes root phosphorus concentration, soil available, and organic phosphorus.},

  doi          = {10.15486/ngt/1778242},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Dec 31 23:00:00 EST 2020},

  month        = {Thu Dec 31 23:00:00 EST 2020}

}

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DOI: https://doi.org/10.15486/ngt/1778242

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