Ocean and Coastal Management

Quantitative evolution of coastline categorization of Moorea Island from 1977 to 2018. At Moorea, the coastline is characterized by seven main habitat categories (Aubanel et al. 1999): 1/ Rocks and broken stones in their original positions (the rocks, either basaltic or carbonate, are over 50 cm in diameter and broken stones are 5-50 cm in size), 2/ White sand beach (at least 95% of which comprises coral sediments under 1 cm in size and the intertidal zone is not encumbered with vegetation), 3/ Black sand beach (same as white sand but with sediments of basaltic nature), 4/ Muddy areas or herbaceous zones, possibly with mangroves, 5/ Coarse mud-and-sand and detrital substrate with high vegetation area where Cocos nucifera, Hibiscus tiliaceus, Casuarina equisetifolia and Guettarda speciosa grow, 6/ Conglomerate and beach-rock and 7/ Anthropogenic changes (through walls, rocks and/or embankments).

Coverage of geomorphic features and benthic habitats within marine protected areas and outside of marine protected areas for exclusive economic zones and large marine ecosystems. Percent within marine protected areas and feature diversity indices are also calculated.

Mesocosm Metabolism response to short-term sediment accumulation at the Hawaii Institute of Marine Biology.

Fshery-independent data collected annually since 2003 by the International Pacific Halibut Commission (IPHC) and the Pacific Halibut Management Association (PHMA). Used for McGreer and Frid (2017). Ocean and Coastal Management.

This is the dataset including processed and original data(wave, tide, geomorphology, erosion/accretion rate) that were used in coastal vulnerability index calculations. It includes shapefiles to calculate the CVI for defined variables and the Python codes for vulnerability category distribution.

The files contain data on carbon flows of 4 ecosystem models of the Arctic kelp belt ecosystem at Hansneset, Kongsfjorden, Spitzbergen. The four files contain information on a- the kelp belt system in 1996-1998 at 2.5m, b- the kelp belt system in 1996-1998 at 5m, c- the kelp belt system in 2012-2014 at 2.5m and d- the kelp belt system in 2012-2014 at 5m. All files are in the SCOR (Scientific Committee on Oceanic Research) recommended format for the application of network analysis to food web networks. They give information on the living and non-living components present in the ecosystem during each period of time and at each depth. File names: AKB_1996-1998_2-5m_DAT, AKB_1996-1998_5m_DAT, AKB_2012-2014_2-5m_DAT, and AKB_2012-2014_5m_DAT. Each file consists essentially of 6 sections each. The sections are separated by a negative integer (-1). The first is a list of the compartments. The second section gives the biomass/standing stock of each compartment with the units of measurement in mgCm-2. The third section contains the imports from outside the system into the relevant compartments. The fourth section gives information on the exports from each compartment, while the fifth section gives the respiration energy of each living component in the system. The last (sixth) section gives the flows from prey compartment i to consumer compartment j. The units in the last four sections are in mgCm-2day-1. These score files can be directly used in network analysis with the extension .txt (the programs can be downloaded from the web site http://www.cbl.umces.edu/~ulan/ntwk/network.html) and loaded in enaR (https://CRAN.R-project.org/package=enaR) with the command read.scor(). Instructions pertaining to the use of the supplement files in the execution of NETWRK 4.2a and enaR are given on the web pages. Output results from NETWRK 4.2a are discussed on the website quoted above and output results from enaR are discussed in Lau et al. (2015).

Conch data and linear model code using R for St. Vincent and the Grenadines, Tobago Cays Marine park and Union Island

Automatic identification system (AIS) data are used to identify and track vessels for various purposes (primarily navigational safety). These data can be used to study vessel traffic, such as ship routing and speed over ground (SOG). Source data were obtained from the United States Coast Guard Navigation Center (USCG NAVCEN) for the period from June 2008 to December 2015. Derived data resulting from the processing of the source data are included here. This data set presents annual raster data (1 square kilometer grid size) off California from 2008-2015 for cumulative ship traffic density (kilometers/day) and mean SOG (knots; distance-weighted). The universe of data is limited to vessels with a length greater than or equal to 80 meters. The data are analyzed in three groups: freight vessels (container, general cargo, bulk carrier, refrigerated cargo, vehicle carrier, etc.), tanker vessels (crude oil, chemical/products, liquid petroleum gas, etc.) and all vessels (the previously noted vessels, plus passenger vessels and other vessel classes). Esri ArcGIS software (ArcGIS Desktop 10.4.1) was used to process the data. The data are contained in a file geodatabase format as raster data sets. Metadata for the overall data set are contained at the level of the file geodatabase. The data were generated and used for a research article (Moore et al. 2018): Moore, T.J., Redfern, J.V., Carver, M., Hastings, S., Adams, J.D., Silber, G.K., 2018. Exploring Ship Traffic Variability off California. Ocean and Coastal Management. https://doi.org/10.1016/j.ocecoaman.2018.03.010 See this manuscript for more information on the data description, issues, and processing methods.

Abundance and estimated size data on 186 species of fish encountered across four sites at the Misali Island Conservation Area, PECCA, Pemba, Tanzania

Distribution Models (.asc) and lambda files for actively fishing commercial and recreational vessels and non-fishing vessels before (pre) and after (post) Marine Protected Area (MPA) implementation in the Southern California Bight.