This data package was submitted to a staging environment for testing purposes only. Use of these data for anything other than testing is strongly discouraged.

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Title:

Luquillo LTER signature Monthly and Daily dataset

Creators:

Leon, Miguel C; Information Manager; University of New Hampshire

Publication Date:

2024-09-06

Citation:

Leon, M.C. 2024. Luquillo LTER signature Monthly and Daily dataset ver 11. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).

Abstract:

This dataset contains population, meteorological, phenological, and chemical data collected from tropical montane stream and forest ecosystems. Data spans from 1975 to 2024, with some gaps and missing data points. Particularly at the beginning of the time span measurements started with temperature and rainfall before other dataset collections began with the inception of the LUQ LTER in the late 1980s.
For phenology 17 species were selected for inclusion, listed below. 11 dominant species as described in Uriarte et al 2009 (DOI 10.1890/08-0707.1). As well as in decline species PALRIP- Palicourea riparia and CISVER - Cissus verticillata. Species that show a strong response to hurricanes PHYRIV - Phytolacca rivinoides- an understory herb and IPOTL -Ipomoea tiliacea- Morning glory vine. And a species thriving understory shrub SMIDOM - Smilax domingensis.

From Uriarte et al. 2009: -

ALCLAT - Alchornea latifolia

CASARB - Casearia arborea

CECSCH - Cecropia schreberiana

DACEXC - Dacryodes excelsa

GUAGUI - Guarea guidonia

INGLAU - Inga laurina

MANBID - Manilkara bidentata

PREMON - Prestoea montana

SCHMOR - Schefflera morototoni

SLOBER - Sloanea berteriana

TABHET - Tabebuia heterophylla

PALRIP - Palicourea riparia

For more details on methods and variables see each individual dataset:

Canopy Trimming Experiment (CTE) Litterfall: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=162

Litterfall in tabonuco (subtropical wet) forest in the Luquillo Experimental Forest, Puerto Rico (MRCE Litterfall data): https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=111

Rainfall at El Verde Field Station, Rio Grande, Puerto Rico since 1975: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=14

Maximum temperature at El Verde Field Station, Rio Grande, Puerto Rico since October 1992: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=16

Minimum temperature at El Verde Field Station, Rio Grande, Puerto Rico since 1975: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=17

Chemistry of stream water from the Luquillo Mountains, Quebrada Sonadora and Quebrada Prieta: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=20

Shrimp populations in Quebrada Prieta (Pools 0, 8, 9, 15) (El Verde): https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=54

Meteorological data from El Verde Field Station: NADP Tower: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=127

Chemistry of rainfall and throughfall from El Verde and Bisley: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=174

Phenologies of the Tabonuco Forest trees and shrubs: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=88

Prieta streams - Discharge and water level: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=182

We would like to acknowledge the contributions of all those who have worked in the Luquillo LTER over the course of its 36 year and counting history. The LUQ LTER thanks you for your contribution.

Code for generating this signature dataset are available on github here: https://github.com/miguelcleon/LUQ-LTER-signature-dataset

Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support was provided by the USDA Forest Service International Institute of Tropical Forestry and the University of Puerto Rico.

Spatial Coverage:

N: 18.8561 S: 17.7569 E: -65.2454 W: -66.2889

Package ID:

knb-lter-luq.236.11 (Uploaded 2024-09-06)
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Resources:

View Full Metadata (17 views)
View Quality Report
Data Entities:
1. LUQ LTER daily signature dataset (9.5 MiB; 3 downloads)
2. LUQ LTER monthly signature dataset (437.9 KiB; 3 downloads)

Intellectual Rights:

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Digital Object Identifier:

DOI PLACE HOLDER

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Journal Citations:

Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

This data package was submitted to a staging environment for testing purposes only. Use of these data for anything other than testing is strongly discouraged.

Data Package Summary View Full Metadata

PALRIP - Palicourea riparia

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