Dataset

Brazil Reef Biodiversity - ILTER Coastal Habitats of Espírito Santo (Site: Costa Bela)

Caribbean OBIS MeasurementOrFact Open in mapper Explore occurrences

The PELD (Long-term Program of Ecological Research) Coastal Habitats of Espírito Santo is part of the Brazilian LTER program and started in 2017. It is located on the Eastern Coast of Brazil, and includes coastal ecosystems including estuaries, mangroves, coastal reefs and rodolith beds. This is an innovative project to assess the temporal patterns in multiple coastal ecosystems in the Eastern Brazil Marine Ecoregion, where there is a decadal warming trend. The program associates research and conservation, at three Conservation units: Coastal das Algas Environmental Protected Area (APACA), Santa Cruz Wildlife Refuge (RVSSC) and Municipal Reserves of Integral Protection of the mangroves of Piraquê-Açu and Piraquê-Mirim rivers (RPPAM). The project aims to investigate the interactions among abiotic, climatic and ecological dynamics in the benthic communities and Ichthyofauna assemblies associated with the estuaries, the mangroves and the Rhodolith beds. PELD-HCES counts with a research team coordinated by UFES in partnership with USP, UFBA, UFSB, UFF, UFPR, UNISUL, UFSC and the State University of Oregon, and funded by CNPQ, CAPES and FAPES.

Citation: Mazzuco A C, Bernardino A (2019): Brazil Reef Biodiversity - ILTER Coastal Habitats of Espírito Santo (Site: Costa Bela). v1.2. Caribbean OBIS Node. Dataset/Samplingevent. 10.15468/7mcnkz

Published: December 02, 2019 at 13:28

URL: http://ipt.iobis.org/mbon/resource?r=brazil_reef_biodiversity_ilter_coastal_habitats_es_costabela

Ana Carolina A Mazzuco

240
occurrence records
240
measurements and facts
29
taxa
21
species

Taxa

Missing and invalid fields

Field Missing Invalid
maximumDepthInMeters 240
100.0%
minimumDepthInMeters 240
100.0%

Quality flags

The OBIS data quality flags are documented at https://github.com/iobis/obis-qc.

Flag Dropped Records
NO_DEPTH 240
100.0%

Measurement types

DNA derived data