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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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The morphometric acclimation to depth explains the long-term resilience of the seagrass Cymodocea nodosa in a shallow tidal lagoon

Authors: Peralta González, Gloria; Godoy del Olmo, Oscar; Egea Tinoco, Luis Gonzalo; de los Santos, Carmen B.; Jiménez–Ramos, Rocío; Lara, M.; Brun Murillo, Fernando Guillermo; +8 Authors

The morphometric acclimation to depth explains the long-term resilience of the seagrass Cymodocea nodosa in a shallow tidal lagoon

Abstract

Original Data set for the article "The morphometric acclimation to depth explains the long-term resilience of the seagrass Cymodocea nodosa in a shallow tidal lagoon" available in the Journal of Environmental Management (JEMA). The sampling site is located in inner water body of Cadiz Bay (SW, Spain) ((36° 23’ - 36° 37’N and 6° 8’ - 6° 15’W).

This work was supported by the Spanish research projects CTM2005-00395/MAR (EVAMARIA), CTM2008-00012 (IMACHYDRO), CTM2011-24482 (SEALIVE) and CTM2017-85365-R (PAVAROTTI).

Country
Spain
Keywords

leaf loss rate, meadow production, Cymodocea nodosa, biomass, time-series, leaf growth rate, seagrasses

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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