Dataset

MBON POLE TO POLE: ROCKY SHORE BIODIVERSITY OF CONCEPCION CHILE

Caribbean OBIS MeasurementOrFact Open in mapper Explore occurrences

The MBON Pole to Pole effort seeks to develop a framework for the collection, use and sharing of marine biodiversity data in a coordinated, standardized manner leveraging on existing infrastructure managed by the Global Ocean Observing System (GOOS; IOC-UNESCO), the GEO Biodiversity Observation Network (GEO BON), and the Ocean Biogeographic Information System (OBIS). The MBON Pole to Pole aims to become a key resource for decision-making and management of living resource across countries in the Americas for reporting requirements under the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), Aichi Targets of the Convention of Biological Diversity (CBD), and the UN 2030 Agenda for Sustainable Development Goals (SDGs). This collection corresponds to the species registered on intertidal rocky shores of different sites in the Concepción Province, Central Chile, using the MBON Pole to Pole sampling protocol for Rocky Shores, with funding from AlgaLAB (Laboratorio de Estudios Algales de la Universidad de Concepción y Centro FONDAL IDEAL 15150003)

Citation: Macaya E, Jeldres R (2019): MBON POLE TO POLE: ROCKY SHORE BIODIVERSITY OF CONCEPCION CHILE. v1.1. Caribbean OBIS Node. Dataset/Samplingevent. http://ipt.iobis.org/mbon/resource?r=mbon_rs_chile&v=1.1

Published: August 19, 2019 at 21:44

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

Erasmo Macaya
Universidad de Concepción

Ricardo Jeldres
Universidad de Concepción

Ricardo jeldres

630
occurrence records
502
measurements and facts
44
taxa
38
species

Taxa

Missing and invalid fields

Field Missing Invalid
maximumDepthInMeters 630
100.0%
minimumDepthInMeters 630
100.0%
scientificNameID 128
20.3%

Quality flags

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

Flag Dropped Records
NO_DEPTH 630
100.0%
NO_MATCH 128
20.3%
WORMS_ANNOTATION_UNRESOLVABLE 128
20.3%
ON_LAND 77
12.2%

Measurement types

DNA derived data