Leaf mass area in Unguja Island (Zanzibar Archipealgo, Tanzania) sampled in 2016

DOI

We studied if functional traits related to resource preemption (light and inorganic nutrients) exert control on space preemption of tropical seagrass meadows. Additionally, we studied if space preemption changed under different eutrophication scenarios. We took seagrass abundance data to study space preemption, seagrass traits data to study their effect on space preemption and eutrophication indicators to evaluate the level of eutrophication at each site/sampling event. The data was collected in Unguja Island (Zanzibar Archipealgo, Tanzania) in seven sites/sampling events (Harbor, Chapwani, Changuu, Bweleo, Fumba, Mangroves and Marumbi). Each site/sampling event comprised a subtidal seagrass meadow (2-4 meters depth) of around 2500 square meters, delimited by the coastline and a fringing reef. The data was taken between the 26.09.2016 to the 05.10.2016. In each site/sampling event, five 50 meters transects were deployed perpendicular to the coast and paralel to each other, approximately separated by 50 meters. The areas enclosed beweeen the transects were names A, B, C and D. We considered nine traits reportedly correlated to light and inorganic nutrients preemption, namely, leaf maximum length (cm), leaf maximum width (cm), vertical rhizome length (cm), leaves per shoot, rhizome diameter (cm), roots per meter, root maximum length (cm), leaf mass area (grams per square centimeter), and shoots per meter. To quantify the seagrass traits at each site/sampling event, we defined four zones of ~2500 m2 per site/sampling event, within which we sampled five ramets (defined as a train of at least two shoots) per species, amounting to a total of approximately 20 ramets per species and site/sampling event. The ramets were transported frozen at -4°C to the Leibniz Centre for Tropical Marine Research for trait measuring. For the measurement of the leaf mass area (grams per square centimeter), we took a subsample of the second leaf of one shoot per ramet. The subsample was cleaned of epiphytes and rinsed with distilled water and cut squared for easier measurement of its surface with a ruler (cm2). It was then dried at 50°C in a forced air oven until constant dry weight. Finally, the leaf mass area was calculated as the dry weight of the leaf subsample divided by its area (grams of dry weight per square centimeter).

Identifier
DOI https://doi.org/10.1594/PANGAEA.932901
Related Identifier https://doi.org/10.3389/fpls.2021.709257
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.932901
Provenance
Creator Moreira-Saporiti, Agustín; Teichberg, Mirta
Publisher PANGAEA - Data Publisher for Earth & Environmental Science
Publication Year 2021
Funding Reference German Science Foundation, 278616556
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Language English
Resource Type Dataset
Format text/tab-separated-values
Size 5180 data points
Discipline Earth System Research
Spatial Coverage (39.167W, -6.310S, 39.434E, -6.118N); Zanzibar Archipealgo, Tanzania
Temporal Coverage Begin 2016-09-24T00:00:00Z
Temporal Coverage End 2016-10-05T00:00:00Z