We evaluated spatial distribution and estimated population size and productivity of Marbled Murrelets offshore of California and Oregon from Moss Landing, California north to Coos Bay, Oregon from 1989 to 2009 using transect surveys from boats. From 1989 to 2000, we used a methodology with set distances from shore outward to 5000 meters offshore from which we derived population estimates and described distribution from shore. We found that we observed the majority of murrelets at the distances of 800 and 1400 meters so we started coastal surveys at these distances along the entire coast from Point Lobos, California to Coos Bay, Oregon from 1991 to 2000. From 2001 to 2009, our selection of transect locations changed as we participated in population monitoring for Marbled Murrelet Effectiveness Monitoring for the Northwest Forest Plan, where locations were divided into Primary Survey Units of 20 kilometers each along the shoreline with nearshore and offshore sampling areas. This data publication also includes boat surveys conducted during two oil spills that occurred in and offshore of Humboldt Bay, California in 1997 and 1999. During surveys, all species of birds and marine mammals encountered along the transects are recorded. Data are provided as both Microsoft Access databases (combination of ACCDB and MDB files) and comma-separated values files. Associated geospatial data for surveys are also included.These data, collected offshore of northern California and Oregon, were used for the monitoring of Marbled Murrelet (Brachyrhamphus marmorata) populations.

Rising sea levels (SLR) will cause coastal groundwater to rise in many coastal urban environments. Inundation of contaminated soils by groundwater rise (GWR) will alter the physical, biological, and geochemical conditions that influence the fate and transport of existing contaminants. These transformed products can be more toxic and/or more mobile under future conditions driven by SLR and GWR. We reviewed the vulnerability of contaminated sites to GWR in a US national database and in a case comparison with the San Francisco Bay region to estimate the risk of rising groundwater to human and ecosystem health. The results show that 326 sites in the US Superfund program may be vulnerable to changes in groundwater depth or flow direction as a result of SLR, representing 18.1 million hectares of contaminated land. In the San Francisco Bay Area, we found that GWR is predicted to impact twice as much coastal land area as inundation from SLR alone, and 5,297 state-managed sites of contamination may be vulnerable to inundation from GWR in a 1-meter SLR scenario. Increases of only a few centimeters of elevation can mobilize soil contaminants, alter flow directions in a heterogeneous urban environment with underground pipes and utility trenches, and result in new exposure pathways. Pumping for flood protection will elevate the salt water interface, changing groundwater salinity and mobilizing metals in soil. Socially vulnerable communities are more exposed to this risk at both the national scale and in a regional comparison with the San Francisco Bay Area. Methods Data Dryad This data set includes data from the California State Water Resources Control Board (WRCB), the California Department of Toxic Substances Control (DTSC), the USGS, the US EPA, and the US Census. National Assessment Data Processing: For this portion of the project, ArcGIS Pro and RStudio software applications were used. Data processing for superfund site contaminants in the text and supplementary materials was done in RStudio using R programming language. RStudio and R were also used to clean population data from the American Community Survey. Packages used include: Dplyr, data.table, and tidyverse to clean and organize data from the EPA and ACS. ArcGIS Pro was used to compute spatial data regarding sites in the risk zone and vulnerable populations. DEM data processed for each state removed any elevation data above 10m, keeping anything 10m and below. The Intersection tool was used to identify superfund sites within the 10m sea level rise risk zone. The Calculate Geometry tool was used to calculate the area within each coastal state that was occupied by the 10m SLR zone and used again to calculate the area of each superfund site. Summary Statistics were used to generate the total proportion of superfund site surface area / 10m SLR area for each state. To generate population estimates of socially vulnerable households in proximity to superfund sites, we followed methods similar to that of Carter and Kalman (2020). First, we generated buffers at the 1km, 3km, and 5km distance of superfund sites. Then, using Tabulate Intersection, the estimated population of each census block group within each buffer zone was calculated. Summary Statistics were used to generate total numbers for each state. Bay Area Data Processing: In this regional study, we compared the groundwater elevation projections by Befus et al (2020) to a combined dataset of contaminated sites that we built from two separate databases (Envirostor and GeoTracker) that are maintained by two independent agencies of the State of California (DTSC and WRCB). We used ArcGIS to manage both the groundwater surfaces, as raster files, from Befus et al (2020) and the State’s point datasets of street addresses for contaminated sites. We used SF BCDC (2020) as the source of social vulnerability rankings for census blocks, using block shapefiles from the US Census (ACS) dataset. In addition, we generated isolines that represent the magnitude of change in groundwater elevation in specific sea level rise scenarios. We compared these isolines of change in elevation to the USGS geological map of the San Francisco Bay region and noted that groundwater is predicted to rise farther inland where Holocene paleochannels meet artificial fill near the shoreline. We also used maps of historic baylands (altered by dikes and fill) from the San Francisco Estuary Institute (SFEI) to identify the number of contaminated sites over rising groundwater that are located on former mudflats and tidal marshes. The contaminated sites' data from the California State Water Resources Control Board (WRCB) and the Department of Toxic Substances (DTSC) was clipped to our study area of nine-bay area counties. The study area does not include the ocean shorelines or the north bay delta area because the water system dynamics differ in deltas. The data was cleaned of any duplicates within each dataset using the Find Identical and Delete Identical tools. Then duplicates between the two datasets were removed by running the intersect tool for the DTSC and WRCB point data. We chose this method over searching for duplicates by name because some sites change names when management is transferred from DTSC to WRCB. Lastly, the datasets were sorted into open and closed sites based on the DTSC and WRCB classifications which are shown in a table in the paper's supplemental material. To calculate areas of rising groundwater, we used data from the USGS paper “Projected groundwater head for coastal California using present-day and future sea-level rise scenarios” by Befus, K. M., Barnard, P., Hoover, D. J., & Erikson, L. (2020). We used the hydraulic conductivity of 1 condition (Kh1) to calculate areas of rising groundwater. We used the Raster Calculator to subtract the existing groundwater head from the groundwater head under a 1-meter of sea level rise scenario to find the areas where groundwater is rising. Using the Reclass Raster tool, we reclassified the data to give every cell with a value of 0.1016 meters (4”) or greater a value of 1. We chose 0.1016 because groundwater rise of that little can leach into pipes and infrastructure. We then used the Raster to Poly tool to generate polygons of areas of groundwater rise.

Sterna antillarum browni) nested at 37 sites along the coast of California. This 7% decrease in breeding population size from 1994 brings to an end the trend since 1987 of continued growth of the population, and is likely attributable, at least in part, to the poor fledgling production experienced statewide in 1992. In addition to the drop in pair numbers, heavy predation pressure at many sites, an apparent shortage of food at two large sites, and a heavy storm in mid-June across the State, combined with a variety of human-related constraints on tern reproductive success, resulted in the lowest statewide fledgling-to-pair ratio recorded since fledgling production estimates were incorporated into monitoring protocol (1978). A minimum of approximately 963-1,174 fledglings was produced, 41% fewer than in 1994, resulting in a statewide fledgling per pair ratio of 0.37-0.45. As usual, successful and unsuccessful sites were distributed rather evenly throughout the State. Terns themselves were more unevenly distributed: 50% of the statewide population bred at only five sites (Venice Beach, Santa Margarita River/North Beach, Mission Bay/Mariner's Point and FAA Island, and Tijuana River/South); inclusion of an additional four sites (NAS Alameda, Bolsa Chica, Huntington Beach, and Delta Beach/North) accounted for 73% of all breeding pairs, and the inclusion of two more (Ormond Beach/Edison and Seal Beach) accounted for 81%. The fledglings produced at Santa Margarita River/North Beach, Mission Bay/Mariner's Point, and Delta Beach/North constituted 33% of the State total; the balance were distributed relatively evenly among sites.

These data describe the abundance of settler-stage three-spot dascyllus (Dascyllus trimaculatus), a planktivorous damselfish to their juvenile microhabitat, the sea anemone Heteractis magnifica.
Surveys were begun in 1993, and, except for 1994, have been conducted daily each year between June and September on a reef adjacent to the UC Berkeley Gump Research Station in Cooks Bay on the north shore of the island of Moorea in French Polynesia.

These data describe the abundance of settler-stage three-spot dascyllus (Dascyllus trimaculatus), a planktivorous damselfish to their juvenile microhabitat, the sea anemone Heteractis magnifica. Surveys were begun in 1993, and, except for 1994, have been conducted daily each year between June and September on a reef adjacent to the UC Berkeley Gump Research Station in Cooks Bay on the north shore of the island of Moorea in French Polynesia. This time series completed in 2012.