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Remote Sensing Recommendations for Tidal Wetland Indicators. SFEI Contribution No. 1047. San Francisco Estuary Institute: Richmond. CA. p 31.
2021. This document presents potential products and methods for monitoring a suite of tidal wetland habitat indicators designated for the Montezuma Wetlands Project using remote sensing technology. This document can also serve as a starting place for the Technical Advisory Committee of the San Francisco Estuary Regional Monitoring Program (WRMP) to develop a set of regional protocols for monitoring the same or similar habitat indicators.
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Green Plan-IT Application Report for the East Bay Corridors Initiative. SFEI Contribution No. 887. San Francisco Estuary Institute: Richmond, CA.
2018. ![application/pdf](/modules/file/icons/application-pdf.png)
White Paper on Regional Landscape Characterization for Low Impact Development Site Suitability Analysis. San Francisco Estuary Institute: Richmond, CA.
2011. ![application/pdf](/modules/file/icons/application-pdf.png)
Conceptual Model of Contaminant Fate on the Margins of San Francisco Bay. SFEI Contribution No. 663. SFEI: Richmond, CA. p 67.
2012. ![application/pdf](/modules/file/icons/application-pdf.png)
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Strategy for In-Bay Fate Modeling to Support Contaminant and Sediment Management in San Francisco Bay. SFEI Contribution No. 1090. San Francisco Estuary Institute: Richmond, California.
2022. This report presents a strategy and multi-year workplan for modeling polychlorinated biphenyls (PCBs), contaminants of emerging concern (CECs), and sediment in San Francisco Bay (the Bay). Robust in-Bay fate modeling is needed to address priority management questions that have been identified for these constituents.
The strategy for in-Bay modeling presented in this report is a major element of a broader, integrated strategy that is being developed across RMP Workgroups for modeling contaminants flowing from the Bay watersheds and other pathways into the Bay. The broader project is expected to yield an integrated strategy in 2022, followed by implementation of a pilot effort in 2023. Coordination of the in-Bay modeling effort with the broader integrated strategy and other modeling work (e.g., nutrient modeling under the Nutrient Management Strategy) will be critical to optimizing use of the funds allocated to modeling.
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Data Collection Protocol Yuma Bat (Myotis yumanensis). SFEI Contribution No. 259. H.T Harvey & Associates: San Jose, CA. p 7.
2002. Exploring the Traditional Use of Fire in the Coastal Mountains of Central California. Joint Fire Science Program.
2013. ![application/pdf](/modules/file/icons/application-pdf.png)
Linkage of In Vitro Assay Results With In Vivo End Points. San Francisco Estuary Institute: Richmond, CA.
2014. ![application/pdf](/modules/file/icons/application-pdf.png)
Methods for Analysis of Spatial and Temporal Patterns. SFEI Contribution No. 18. San Francisco Estuary Institute: Richmond, CA.
1996. ![application/pdf](/modules/file/icons/application-pdf.png)
Unmixing polychlorinated biphenyl source fingerprints in surface waters of San Francisco Bay. Environmental Science and Technology 34, 552-559 . SFEI Contribution No. 270.
2000. Trace Organic Sampler Intercalibration Results. SFEI Contribution No. 34. San Francisco Estuary Institute: Richmond, CA.
1999. Observations on trace organic concentrations in RMP water samples. SFEI Contribution No. 210. San Francisco Estuary Institute. pp 67-77.
1997. Levels and patterns of polychlorinated biphenyls in water collected from the San Francisco Bay and Estuary, 1993-95. Fresenius Journal of Analytical Chemistry 359, 254-260 . SFEI Contribution No. 22.
1997. ![application/pdf](/modules/file/icons/application-pdf.png)
Gut Contents Analysis of Four Fish Species Collected in the San Leandro Bay RMP PCB Study in August 2016. SFEI Contribution No. 900. San Francisco Estuary Institute: Richmond, CA.
2018. ![application/pdf](/modules/file/icons/application-pdf.png)
RMP Food Web Analysis; Data Report on Gut Contents of Four Fish Species. San Francisco Estuary Institute.
2008. ![application/pdf](/modules/file/icons/application-pdf.png)
Selenium in the Grasslands Watershed. San Francisco Estuary Institute: Oakland, CA. pp 267-294.
2010. Summary and Evaluation of Delta Subregions for Nutrient Monitoring and Assessment. SFEI Contribution No. 789.
2016. ![application/pdf](/modules/file/icons/application-pdf.png)
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Delta Regional Monitoring Program Annual Monitoring Report for Fiscal Year 2015–16: Pesticides and Toxicity. SFEI Contribution No. 864. Aquatic Science Center: Richmond, CA.
2018. The primary purpose of this report is to document the first year (FY15/16) of pesticide monitoring by the Delta Regional Monitoring Program (Delta RMP). This document reports the results from samples collected monthly from July 2015 through June 2016. The data described in this report are available for download via the California Environmental Data Exchange Network (CEDEN) website.
Pesticide monitoring of the Delta RMP includes chemical analysis and toxicity testing of surface water samples. The parameters analyzed include 154 current use pesticides, dissolved copper, field parameters, and “conventional” parameters (ancillary parameters measured in the laboratory, such as dissolved/particulate organic carbon and hardness). Toxicity tests included an algal species (Selenastrum capricornutum, also known as Raphidocelis subcapitata), an invertebrate (Ceriodaphnia dubia, a daphnid or water flea), and a fish species (Pimephales promelas, fathead minnow). Toxicity testing included the evaluation of acute (survival) and chronic (growth, reproduction, biomass) toxicity endpoints. The surface water samples were collected from 5 fixed sites representing key inflows to the Delta that were visited monthly: Mokelumne River at New Hope Road, Sacramento River at Hood, San Joaquin River at Buckley Cove, San Joaquin River at Vernalis, and Ulatis Creek at Brown Road.
A total of 52 pesticides were detected above method detection limits (MDLs) in water samples (19 fungicides, 17 herbicides, 9 insecticides, 6 degradates, and 1 synergist). A total of 9 pesticides (5 herbicides, 3 insecticides, and 1 degradate) were detected in suspended sediments in 10 of a total of 60 samples collected during the study period. All collected samples contained mixtures of pesticides ranging from 2 to 26 pesticides per sample. From a total of 154 target parameters, 100 compounds were never detected in any of the samples.
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Assessment of Nutrient Status and Trends in the Delta in 2001–2016: Effects of drought on ambient concentrations and trends. SFEI Contribution No. 865. Aquatic Science Center: Richmond, CA.
2018. Nutrients and the effects of nutrients on water quality in the Sacramento-San Joaquin Delta is a priority focus area for the Delta Regional Monitoring Program (Delta RMP). The Program’s first assessment question regarding nutrients is: “How do concentrations of nutrients (and nutrient-associated parameters) vary spatially and temporally?” In this analysis, we confirmed previously reported declining trends in the San Joaquin River for nutrient concentrations at Vernalis and chlorophyll-a concentrations at Buckley Cove and Disappointment Slough. A slight increasing trend for dissolved oxygen at Buckley Cove was also detected which could be confirmation that management actions for the San Joaquin River Dissolved Control Program are having the desired effect. Finally, at stations in Suisun Bay, the Confluence region, and Franks Tract, chlorophyll-a showed modest increasing trends, which were not evident in previous analyses. The new analyses presented in this report and the findings from earlier reports constitute encouraging early progress toward answering the Delta RMP’s assessment questions. Specifically, due to the existence of long-term data sets and synthesis efforts, spatial and temporal trends in the concentrations of nutrients and nutrient-related parameters are reasonably well understood and so are the magnitudes of the most important sources of nutrients from outside the Delta. However, additional synthesis work could be done to understand the factors behind these trends. Large knowledge gaps remain about nutrient sinks, sources, and processes within the Delta. The mechanistic, water quality-hydrodynamic models being developed for the Delta may be able to address these questions in the future.
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Delta Regional Monitoring Program Nutrients Synthesis: Modeling to Assist Identification of Temporal and Spatial Data Gaps for Nutrient Monitoring. SFEI Contribution No. 866. Aquatic Science Center: Richmond, CA.
2018. Nutrient loads are an important water quality management issue in the Sacramento-San Joaquin Delta (Delta) and there is consensus that the current monitoring activities do not collect all the information needed to answer important management questions. The purpose of this report is to use hydrodynamic model outputs to refine recommendations for monitoring nutrients and related conditions in the Delta. Two types of modeling approaches were applied: 1) volumetric water source analysis to evaluate the mix of source waters within each subregion; and 2) particle tracking simulations.The analysis revealed that each Delta subregion has a unique “fingerprint” in terms of how much of its water comes from different sources. Three major recommendations for a future monitoring design were derived from this analysis:
Recommendation #1: The subregions proposed for status and trends monitoring in a previous report should be redrawn to better reflect the mixtures of source waters.
Recommendation #2: Long-term water quality stations are needed in the North Delta, Eastside, and South Delta subregions.
Recommendation #3: Areas with a long-residence time and where mixing of different water sources occurs are potential for nutrient transformation hotspots. High-frequency water quality mapping of these areas has the
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Microbial degradation of penoxsulam in flooded rice field soils. Journal of Agricultural and Food Chemistry 54, 5962-5967.
2006. Pilot Study of Contaminants of Emerging Concern (CECs) in the Russian River Watershed: Lessons Learned. SFEI Contribution No. 852. San Francisco Estuary Institute: Richmond, CA.
2017. ![application/pdf](/modules/file/icons/application-pdf.png)
2006.
Effects of Short-term Water Quality Impacts Due to Dredging and Disposal on Sensitive Fish Species in San Francisco Bay. SFEI Contribution No. 560. San Francisco Estuary Institute: Oakland, Ca.
2008. ![application/pdf](/modules/file/icons/application-pdf.png)
Development of an environmental indicator system for watershed-based decision-making and tracking the outcomes of beneficial use restoration in the San Joaquin River basin. SFEI Contribution No. 556.
2008. ![application/pdf](/modules/file/icons/application-pdf.png)
Nutrient Monitoring Planning Workshop - Summary of Existing Nutrient Monitoring Programs, Data Gaps, and Potential Delta RMP “No Regrets” Monitoring Activities. Aquatic Science Center: Richmond, CA.
2016. This report was prepared as a briefing document for a September 2016 workshop held in Sacramento by the Delta Regional Monitoring Program. The purpose of the workshop was to plan how to invest in nutrients-related studies in order to inform better management of Delta waterways. First, the report compiles information about the major existing nutrient monitoring programs in the Sacramento-San Joaquin Delta. Next, it outline options for “no regrets” actions for workshop participants to review. The report summarizes interviews with representatives of Delta monitoring and resource management programs, describes current monitoring efforts in the Delta, and presents the conclusions and recommendations from recently completed data syntheses.
Chemistry and Fate of Triazolopyrimidine Sulfonamide Herbicides. Reviews of Environmental Contamination & Toxicology.
2007. Microbial Water Quality at Minimally Human-Impacted Reference Beaches in Northern California. SFEI Contribution No. 858. San Francisco Estuary Institute : Richmond, CA.
2018. ![application/pdf](/modules/file/icons/application-pdf.png)
Summary of Current Water Quality Monitoring Programs in the Delta. San Francisco Estuary Institute: Oakland, CA.
2009. Delta Regional Monitoring Program. Aquatic Science Center: Oakland, CA.
2010. The Estuarine Data Index. p 157.
. 1990. Keynote Address for AHI Workshop on TIE's Status of TIE's as a Regulatory Tool in S.F. Bay Region. University of California at Berkeley Field Station. p 114.
. 1993. ![application/pdf](/modules/file/icons/application-pdf.png)
Estuarine Index: A Guide to Bay-Delta Research and Monitoring Programs: Volume I. Association of Bay Area Governments Urban Runoff Studies, Association of Bay Area Governments Environmental Protection Agency. p 395.
. 1990. Estuarine Data Index: A Guide to Bay-Delta Research and Monitoring Programs, Volume 2. SFEI Contribution No. 158. AHI: RIchmond, CA. p 160.
. 1990. ![application/pdf](/modules/file/icons/application-pdf.png)
Estuarine Data Index: A Guide to Bay-Delta Research and Monitoring Programs, Volume I. SFEI Contribution No. 157. Aquatic Habitat Institute: RIchmond, CA. p 395.
. 1990. ![application/pdf](/modules/file/icons/application-pdf.png)
Cardiac toxicity of 5-ring polycyclic aromatic hydrocarbons is differentially dependent on the aryl hydrocarbon receptor 2 isofrom during zebrafish development. Toxicology and Applied Pharmacology 257, 242-249.
2011. ![application/pdf](/modules/file/icons/application-pdf.png)
Patterns in bird and pollinator occupancy and richness in a mosaic of urban office parks across scales and seasons. Ecology and Evolution 14 (3).
2024. Urbanization is a leading cause of global biodiversity loss, yet cities can provide resources required by many species throughout the year. In recognition of this, cities around the world are adopting strategies to increase biodiversity. These efforts would benefit from a robust understanding of how natural and enhanced features in urbanized areas influence various taxa. We explored seasonal and spatial patterns in occupancy and taxonomic richness of birds and pollinators among office parks in Santa Clara County, California, USA, where natural features and commercial landscaping have generated variation in conditions across scales. We surveyed birds and insect pollinators, estimated multi-species occupancy and species richness, and found that spatial scale (local, neighborhood, and landscape scale), season, and urban sensitivity were all important for understanding how communities occupied sites. Features at the landscape (distance to streams or baylands) and local scale (tree canopy, shrub, or impervious cover) were the strongest predictors of avian occupancy in all seasons. Pollinator richness was influenced by local tree canopy and impervious cover in spring, and distance to baylands in early and late summer. We then predicted the relative contributions of different spatial scales to annual bird species richness by simulating “good” and “poor” quality sites based on influential covariates returned by the previous models. Shifting from poor to good quality conditions locally increased annual avian richness by up to 6.8 species with no predicted effect on the quality of the neighborhood. Conversely, sites of poor local and neighborhood scale quality in good-quality landscapes were predicted to harbor 11.5 more species than sites of good local- and neighborhood-scale quality in poor-quality landscapes. Finally, more urban-sensitive bird species were gained at good quality sites relative to urban tolerant species, suggesting that urban natural features at the local and landscape scales disproportionately benefited them.
What makes urban parks good for California quail? Evaluating park suitability, species persistence, and the potential for reintroduction into a large urban national park. Journal of Applied Ecology.
2021. - Preserving and restoring wildlife in urban areas benefits both urban ecosystems and the well-being of urban residents. While urban wildlife conservation is a rapidly developing field, the majority of conservation research has been performed in wildland areas. Understanding the applicability of wildland science to urban populations and the relative importance of factors limiting species persistence are of critical importance to identifying prescriptive management strategies for restoring wildlife to urban parks.
- We evaluated how habitat fragmentation, habitat quality and mortality threats influence species occupancy and persistence in urban parks. We chose California quail Callipepla californica as a representative species with potential to respond to urban conservation. We used publicly available eBird data to construct occupancy models of quail in urban parks across their native range, and present an application using focal parks interested in exploring quail reintroduction.
- Urban parks had a 0.23 ± 0.02 probability of quail occupancy, with greater occupancy in larger parks that were less isolated from potential source populations, had higher shrub cover and had lower impervious cover. Less isolated parks had higher colonization rates, while larger parks had lower extinction rates. These results align with findings across urban ecology showing greater biodiversity in larger and more highly connected habitat patches.
- A case study highlighted that interventions to increase effective park size and improve connectivity would be most influential for two highly urban focal parks, while changes to internal land cover would have a relatively small impact. Low joint extinction probability in the parks (0.010 ± 0.013) indicated reintroduced populations could persist for some time.
- Synthesis and applications. We show how eBird data can be harnessed to evaluate the responsiveness of wildlife to urban parks of variable size, connectivity and habitat quality, highlighting what management actions are most needed. Using California quail as an example, we found park size, park isolation and presence of coyotes are all important drivers of whether quail can colonize and persist in parks. Our results suggest reintroducing quail to parks could be successful provided parks are large enough to support quail, and management actions are taken to enhance regional connectivity or periodic assisted colonization is used to supplement local populations.
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Moffett Park Specific Plan Urban Ecology Technical Report. SFEI Contribution No. 985.
2020. ![application/pdf](/modules/file/icons/application-pdf.png)
Aquatic Pesticide Monitoring Program Modeling Workgroup Final Report. SFEI Contribution No. 104.
2003. ![application/pdf](/modules/file/icons/application-pdf.png)
Sampling and Analysis Plan for 2016 RMP Status and Trends Bird Egg Monitoring. SFEI Contribution No. 827. San Francisco Estuary Institute: Richmond, CA. p 31 pp.
2016. ![application/pdf](/modules/file/icons/application-pdf.png)
Pollutant Monitoring in the North Richmond Pump Station: A Pilot Study for Potential Dry Flow and Seasonal First Flush Diversion for Wastewater Treatment. San Francisco Estuary Institute: Richmond, CA.
2012. ![application/pdf](/modules/file/icons/application-pdf.png)
Contaminant Concentrations in Sport Fish from San Francisco Bay, 2006. SFEI Contribution No. 554. Oakland,CA.
2008. ![application/pdf](/modules/file/icons/application-pdf.png)
Estuary News RMP Insert 2004/2005. Estuary News.
2005. ![application/pdf](/modules/file/icons/application-pdf.png)
Estuary News RMP Insert 2005. Estuary News.
2005. ![application/pdf](/modules/file/icons/application-pdf.png)
LTMS Symposium on Methylmercury in Dredging Operations and Dredged Sediment Reuse in the San Francisco Estuary. San Francisco Estuary Institute: Oakland, Ca.
2010. Estuary News RMP Insert 2006. Estuary News.
2006. ![application/pdf](/modules/file/icons/application-pdf.png)
Estuary News RMP Insert 2007. Estuary News.
2007. ![application/pdf](/modules/file/icons/application-pdf.png)
Methods Matter: Methods for Sampling Microplastic and Other Anthropogenic Particles and Their Implications for Monitoring and Ecological Risk Assessment. Integrated Environmental Assessment and Management 16 (6) . SFEI Contribution No. 1014.
2020. To inform mitigation strategies and understand how microplastics affect wildlife, research is focused on understanding the sources, pathways, and occurrence of microplastics in the environment and in wildlife. Microplastics research entails counting and characterizing microplastics in nature, which is a labor‐intensive process, particularly given the range of particle sizes and morphologies present within this diverse class of contaminants. Thus, it is crucial to determine appropriate sampling methods that best capture the types and quantities of microplastics relevant to inform the questions and objectives at hand. It is also critical to follow protocols with strict quality assurance and quality control (QA/QC) measures so that results reflect accurate estimates of microplastic contamination. Here, we assess different sampling procedures and QA/QC strategies to inform best practices for future environmental monitoring and assessments of exposure. We compare microplastic abundance and characteristics in surface‐water samples collected using different methods (i.e., manta and bulk water) at the same sites, as well as duplicate samples for each method taken at the same site and approximate time. Samples were collected from 9 sampling sites within San Francisco Bay, California, USA, using 3 different sampling methods: 1) manta trawl (manta), 2) 1‐L grab (grab), and 3) 10‐L bulk water filtered in situ (pump). Bulk water sampling methods (both grab and pump) captured more microplastics within the smaller size range (<335 μm), most of which were fibers. Manta samples captured a greater diversity of morphologies but underestimated smaller‐sized particles. Inspection of pump samples revealed high numbers of particles from procedural contamination, stressing the need for robust QA/QC, including sampling and analyzing laboratory blanks, field blanks, and duplicates. Choosing the appropriate sampling method, combined with rigorous, standardized QA/QC practices, is essential for the future of microplastics research in marine and freshwater ecosystems.
Sycamore Alluvial Woodland Pilot Study Implementation Guidelines. Prepared for Zone 7 Water Agency and US Environmental Protection Agency’s Water Quality Improvement Fund. In collaboration with San Francisco Estuary Institute.
. 2023. This document supports planting-based approaches for sycamore enhancement by providing site-level revegetation techniques for installing, maintaining and monitoring sycamore plantings.
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Poly- and perfluoroalkyl substances in wastewater: Significance of unknown precursors, manufacturing shifts, and likely AFFF impacts. Water Research . SFEI Contribution No. 780.
2016. In late 2014, wastewater effluent samples were collected from eight treatment plants that discharge to San Francisco (SF) Bay in order to assess poly- and perfluoroalkyl substances (PFASs) currently released from municipal and industrial sources. In addition to direct measurement of twenty specific PFAS analytes, the total concentration of perfluoroalkyl acid (PFAA) precursors was also indirectly measured by adapting a previously developed oxidation assay. Effluent from six municipal treatment plants contained similar amounts of total PFASs, with highest median concentrations of PFHxA (24 ng/L), followed by PFOA (23 ng/L), PFBA (19 ng/L), and PFOS (15 ng/L). Compared to SF Bay municipal wastewater samples collected in 2009, the short chain perfluorinated carboxylates PFBA and PFHxA rose significantly in concentration. Effluent samples from two treatment plants contained much higher levels of PFASs: over two samplings, wastewater from one municipal plant contained an average of 420 ng/L PFOS and wastewater from an airport industrial treatment plant contained 560 ng/L PFOS, 390 ng/L 6:2 FtS, 570 ng/L PFPeA, and 500 ng/L PFHxA. The elevated levels observed in effluent samples from these two plants are likely related to aqueous film forming foam (AFFF) sources impacting their influent; PFASs attributable to both current use and discontinued AFFF formulations were observed. Indirectly measured PFAA precursor compounds accounted for 33%–63% of the total molar concentration of PFASs across all effluent samples and the PFAA precursors indicated by the oxidation assay were predominately short-chained. PFAS levels in SF Bay effluent samples reflect the manufacturing shifts towards shorter chained PFASs while also demonstrating significant impacts from localized usage of AFFF.
Development of Semi-Empirical Light Extinction Estimates for Biogeochemical Modeling Applications in San Francisco Bay. SFEI Contribution No. 1177. San Francisco Estuary Institute: Richmond, CA.
2024. ![application/pdf](/modules/file/icons/application-pdf.png)
San Francisco Bay Interim Model Validation Report. SFEI Contribution No. 850. San Francisco Estuary Institute: Richmond, CA.
2017. ![application/pdf](/modules/file/icons/application-pdf.png)
Nutrient Management Strategy Science Program. SFEI Contribution No. 879. San Francisco Estuary Institute: Richmond, CA.
2017. ![application/pdf](/modules/file/icons/application-pdf.png)
Watershed Management and Land Use. CCMP Implementation Committee.
2007. RMP Watershed Pilot Study: An Information Review with Emphasis on Contaminant Loading, Sources, and Effects. SFEI Contribution No. 19. San Francisco Estuary Institute: Richmond, CA.
1998. ![application/pdf](/modules/file/icons/application-pdf.png)
The Estuary Interface Pilot Study: 1998 Progress Report. SFEI Contribution No. 49. San Francisco Estuary Institute.
2000. San Francisco Bay Atmospheric Deposition Pilot Study Part 3: Dry Deposition of PAHs and PCBs. SFEI Contribution No. 506.
2005. ![application/pdf](/modules/file/icons/application-pdf.png)
Regional Monitoring in San Francisco Bay: A Summary of Key Issues. SFEI Contribution No. 36.
1999. Effective Application of Monitoring Information: The Case of San Francisco Bay. Environmental Monitoring and Assessment 81, 15-25 . SFEI Contribution No. 291.
2003. Atmospheric Concentrations and Fluxes of Organic Compounds in the Northern San Francisco Estuary. Environmental Science and Technology 36 (22), 4741-4747 . SFEI Contribution No. 474.
2002. San Francisco Bay Atmospheric Deposition Pilot Study (Trace Metals): Presentation at 2001 WEFTEC. SFEI Contribution No. 235. San Francisco Estuary Institute: Richmond, CA.
2001. ![application/pdf](/modules/file/icons/application-pdf.png)
San Francisco Bay Atmospheric Deposition Pilot Study Part 2: Trace Metals. SFEI Contribution No. 73. San Francisco Estuary Institute: Richmond, CA.
2001. ![application/pdf](/modules/file/icons/application-pdf.png)
San Francisco Bay Atmospheric Deposition Pilot Study Part 1: Mercury. SFEI Contribution No. 72. San Francisco Estuary Institute: Richmond, CA.
2001. ![application/pdf](/modules/file/icons/application-pdf.png)
Atmospheric Deposition of Trace Metals in San Francisco Bay. SFEI Contribution No. 278. San Francisco Estuary Institute: Richmond, CA.
2002. A Watershed Monitoring Strategy for Napa County. SFEI Contribution No. 428. San Francisco Estuary Institute: Napa,. p 34.
2005. ![application/pdf](/modules/file/icons/application-pdf.png)
San Francisco Bay Atmospheric Deposition Pilot StudyPart 3: Dry Deposition of PAHs and PCBs. SFEI Contribution No. 408.
2005. ![application/pdf](/modules/file/icons/application-pdf.png)
Integrated Coastal Reserve Planning, Making the Land—Sea Connection. Front Ecol Environ 3 (8), 429-436.
2005. ![application/pdf](/modules/file/icons/application-pdf.png)
PCB intercalibration exercise with Regional Monitoring Program water sample extracts. SFEI Contribution No. 204. San Francisco Estuary Institute: Richmond, CA. pp 234-239.
1997. Forecasting Multiple Watershed-level Benefits of Alternative Storm Water Management Approaches in the Semi-arid Southwest: Required Tools for Investing Strategically. . SFEI Contribution No. 602.
2010. ![application/pdf](/modules/file/icons/application-pdf.png)
SWAMP Collaboration Workshop. SFEI Contribution No. 407.
2005. Creating data-quality objectives: A case study. Water Environment Laboratory Solutions 7-9 . SFEI Contribution No. 31.
1997. DGT (Diffusive Gradient in Thinfilm) as a tool to assess sources of bioavailable methylmercury in San Francisco Bay. SFEI Contribution No. 640. SFEI: Oakland.
2011. ![application/pdf](/modules/file/icons/application-pdf.png)
Historical Ecology of Lower San Francisquito Creek Phase 1. San Francisco Estuary Institute: Oakland, Ca.
2009. ![application/pdf](/modules/file/icons/application-pdf.png)
Current-Use Pesticides, Fragrance Ingredients, and Other Emerging Contaminants in San Francisco Bay Margin Sediment and Water. SFEI Contribution No. 934. San Francisco Estuary Institute: Richmond, CA.
2020. The Regional Monitoring Program for Water Quality in San Francisco Bay (RMP) has recently focused attention on better characterization of contaminants in nearshore “margin” areas of San Francisco Bay. The margins of the Lower South Bay are mudflats and shallow regions that receive direct discharges of stormwater and wastewater; as a result, they may have higher levels of urban contaminants than the open Bay. In the summer of 2017, the RMP collected samples of margin
sediment in the South and Lower South Bay for analysis of legacy contaminants. The study described here leveraged that sampling effort by adding monitoring of sediment and water for two additional sets of emerging contaminants: 1) current-use pesticides; and 2) fragrance ingredients including the polycyclic musk galaxolide, as well as a range of other commonly detected emerging contaminants linked to toxicity concerns such as endocrine disruption.
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Aquatic Pesticides Monitoring Program Phase 3 (2005) Bioassessment of Waterbodies Treated With Aquatic Pesticides. SFEI Contribution No. 393. San Francisco Estuary Institute: Oakland, CA.
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A Proposed Lentic Benthic Bioassessment Procedure for California (Protocol Brief for Biological Sampling in Lakes, Reservoirs, and Ponds). SFEI Contribution No. 315. San Francisco Estuary Institute.
2004. ![application/pdf](/modules/file/icons/application-pdf.png)
Increases in Anthropogenic Gadolinium Anomalies and Rare Earth Element Concentrations in San Francisco Bay over a 20 Year Record. Environ. Sci. Technol. 50 (8).
2016. We evaluated both the spatial distribution of gadolinium (Gd) and other rare earth elements (REE) in surface waters collected in a transect of San Francisco Bay (SFB) and their temporal variations within the Bay over two decades. The REE were preconcentrated using the NOBIAS PA-1 resin prior to analysis by high-resolution inductively coupled plasma mass spectrometry. Measurements revealed a temporal increase in the Gd anomaly in SFB from the early 1990s to the present. The highest Gd anomalies were observed in the southern reach of SFB, which is surrounded by several hospitals and research centers that use Gd-based contrast agents for magnetic resonance imaging. Recent increases in that usage presumably contributed to the order of magnitude increase in anthropogenic Gd concentrations in SFB, from 8.27 to 112 pmol kg–1 over the past two decades, and reach the northeast Pacific coastal waters. These measurements (i) show that “exotic” trace elements used in new high-tech applications, such as Gd, are emerging contaminants in San Francisco Bay and that anthropogenic Gd concentrations increased substantially over a 20 year period; (ii) substantiate proposals that REE may be used as tracers of wastewater discharges and hydrological processes; and (iii) suggest that new public policies and the development of more effective treatment technologies may be necessary to control sources and minimize future contamination by REE that are critical for the development of new technologies, which now overwhelm natural REE anomalies.
Pharmaceuticals and Personal Care Products in Wastewater Treatment Plant Influent and Effluent and Surface Waters of Lower South San Francisco Bay. San Francisco Estuary Institute: Oakland, Ca.
2009. A living tool for the continued exploration of microplastic toxicity. Microplastics and Nanoplastics 2 (13).
2022. Throughout the past decade, many studies have reported adverse effects in biota following microplastic exposure. Yet, the field is still emerging as the current understanding of microplastic toxicity is limited. At the same time, recent legislative mandates have required environmental regulators to devise strategies to mitigate microplastic pollution and develop health-based thresholds for the protection of human and ecosystem health. The current publication rate also presents a unique challenge as scientists, environmental managers, and other communities may find it difficult to keep up with microplastic research as it rapidly evolves. At present, there is no tool that compiles and synthesizes the data from these studies to allow for visualization, interpretation, or analysis. Here, we present the Toxicity of Microplastics Explorer (ToMEx), an open access database and open source accompanying R Shiny web application that enables users to upload, search, visualize, and analyze microplastic toxicity data. Though ToMEx was originally created to facilitate the development of health-based thresholds to support California legislations, maintaining the database by the greater scientific community will be invaluable to furthering research and informing policies globally. The database and web applications may be accessed at https://microplastics.sccwrp.org/.
Research recommendations to better understand the potential health impacts of microplastics to humans and aquatic ecosystems. Microplastics and Nanoplastics 2 (18).
2022. To assess the potential risk of microplastic exposure to humans and aquatic ecosystems, reliable toxicity data is needed. This includes a more complete foundational understanding of microplastic toxicity and better characterization of the hazards they may present. To expand this understanding, an international group of experts was convened in 2020–2021 to identify critical thresholds at which microplastics found in drinking and ambient waters present a health risk to humans and aquatic organisms. However, their findings were limited by notable data gaps in the literature. Here, we identify those shortcomings and describe four categories of research recommendations needed to address them: 1) adequate particle characterization and selection for toxicity testing; 2) appropriate experimental study designs that allow for the derivation of dose-response curves; 3) establishment of adverse outcome pathways for microplastics; and 4) a clearer understanding of microplastic exposure, particularly for human health. By addressing these four data gaps, researchers will gain a better understanding of the key drivers of microplastic toxicity and the concentrations at which adverse effects may occur, allowing a better understanding of the potential risk that microplastics exposure might pose to human and aquatic ecosystems.
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Applied Aquatic Science: A Business Plan for EcoAtlas. San Francisco Estuary Institue: Richmond, CA.
2017. The following plan is intended to ensure the continued vitality of the toolset. The plan’s success will depend upon the continued collaboration of the public agencies that have supported the toolset thus far, but it must also integrate principles of resilience as it accounts for the tensions that arise as organizations move in different strategic directions.
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GreenPlan-IT Tracker.
2018. This technical memo describes the purpose, functions, and structure associated with the newest addition to the GreenPlan-IT Toolset, the GreenPlan-IT Tracker. It also shares the opportunities for further enhancement and how the tool can operate in concert with existing resources. Furthermore, this memo describes a licensing plan that would permit municipalities to use the tool in an ongoing way that scales to their needs. The memo concludes with a provisional roadmap for the development of future features and technical details describing the tool’s platform and data structures.
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