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Luquillo LTER signature Monthly and Daily dataset

This dataset contains population, meteorological, phenological, and chemical data collected from tropical montane stream and forest ecosystems. This synthesis product merges 11 distinct datasets into a single comprehensive resource, facilitating easier comparison and study of diverse ecological data. Try our data explorer [here.](https://luqshiny.lter.network/sigds/) It provides a multi-faceted dataset essential to enhance biodiversity monitoring, ecosystem management, and global change research. 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 these 11 species represent 75% of the stems >=10 cm dbh in the LFDP plot: ** - **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](https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-lu

ShareScore

48/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
16
Harmonization
16
Access
4
Reuse readiness
8
Engagement
4

Topics

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