No abstract

Three-dimensional visualization of the ecological marine units (EMUs) for the Banda Sea. EMUs are depicted as bands on cylinders, and pink colors indicate warmer EMUs, where blue colors represent colder EMUs. On land, the global ecological land units (ELUs) of Sayre et al. (2014) are shown. Global Open Ocean and Deep Seabed (GOODS) Biogeographic Characterization (UNESCO, 2009) Global, Benthic and Pelagic Expert recommended regions Deep-Sea Provinces (Watling et al., 2013) Global, Benthic Expert-derived revision of GOODS based on literature review Biogeochemical Provinces (Longhurst, 2007) Global Satellite ocean color Seafloor Map (GSFM) (Harris et al., 2014) Global Expert geomorphological feature extraction using 30 arcsecond bathymetry data Deep-Sea Seascapes Map (Harris and Whiteway, 2009) Global Multivariate analysis of seabed morphology and sediments

Reed (2019) A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units,

No abstract

A new data layer provides Coastal and Marine Ecological Classification Standard (CMECS) labels for global coastal segments at 1 km or shorter resolution. These characteristics are summarized for six US Marine Biodiversity Observation Network (MBON) sites and one MBON Pole to Pole of the Americas site in Argentina. The global coastlines CMECS classifications were produced from a partitioning of a 30 m Landsat-derived shoreline vector that was segmented into 4 million 1 km or shorter segments. Each segment was attributed with values from 10 variables that represent the ecological settings in which the coastline occurs, including properties of the adjacent water, adjacent land, and coastline itself. The 4 million segments were classified into 81,000 coastal segment units (CSUs) as unique combinations of variable classes. We summarize the process to develop the CSUs and derive summary descriptions for the seven MBON case study sites. We discuss the intended application of the new CSU data for research and management in coastal areas.

No abstract