MarineTraffic is the world's leading provider of ship tracking and maritime intelligence. We are dedicated to making actionable information easily accessible. Monitoring vessel movements is at the core of what we do. Building on a base of data gathered from our network of coastal AIS-receiving stations, supplemented by satellite receivers, we apply algorithms and integrate complementary data sources to provide the shipping, trade and logistics industries with actionable insights into shipping activity. With our main offices in the UK, Greece and Singapore, we continue to grow our presence in some of the worlds leading maritime hubs, granting us direct access to the markets we serve. Our reach is truly global, enabling us to support the millions that use our service. Our mission to bring about transparency and meaningful change to the maritime world is underlined by partnerships with bodies such as the International Maritime Organisation, and The UN Conference on Trade and Development (UNCTAD). We also work closely with the world's leading ports, maritime companies and oil majors, on projects dedicated to improving efficiency and reducing environmental impact. Our culture of innovation, combined with our desire to consistently exceed expectations, is what drives our diverse, dynamic and entrepreneurial workforce. We set bold goals and are committed to making MarineTraffic a hub where the maritime industry connects and collaborates to create a more transparent and robust shipping ecosystem, and a greener, cleaner world.
The California Recreational Fisheries Survey (CRFS) mission is to collect fishery-dependent data on California's marine recreational fisheries, and to accurately estimate catch and effort in a time frame and on a scale that meets management needs. CRFS collects the data necessary to estimate catch and effort for California's diverse recreational finfish fisheries which range from the California-Mexico border to the California-Oregon border extending over 1,100 miles of coast and is surveyed at over 400 sampling sites. Annually, CRFS conducts over 7,000 sampling assignments and contacts over 68,000 fishing parties. High sampling rates produce confidence in estimates with a 20 percent sample rate of private boat anglers during salmon or groundfish seasons. CRFS collects the data to produce the estimates for all sport-caught finfish.
AmeriFlux is a network of PI-managed sites measuring ecosystem CO2, water, and energy fluxes in North, Central and South America. AmeriFlux is now one of the DOE Office of Biological and Environmental Research (BER) best-known and most highly regarded brands in climate and ecological research. AmeriFlux datasets, and the understanding derived from them, provide crucial linkages between terrestrial ecosystem processes and climate-relevant responses at landscape, regional, and continental scales. Scientific Questions What are the magnitudes of carbon storage and the exchanges of energy, CO2 and water vapor in terrestrial systems? What is the spatial and temporal variability? How is this variability influenced by vegetation type, phenology, changes in land use, management, and disturbance history, and what is the relative effect of these factors? What is the causal link between climate and the exchanges of energy, CO2 and water vapor for major vegetation types, and how does seasonal and inter-annual climate variability and anomalies influence fluxes? What is the spatial and temporal variation of boundary layer CO2 concentrations, and how does this vary with topography, climatic zone and vegetation?
The San Joaquin County & Delta Water Quality Coalition was established to help irrigated agriculture meet the requirements of the California Regional Water Quality Control Board's (RWQCB) Irrigated Lands Regulatory Program (ILRP) in San Joaquin County, Calaveras County and Contra Costa County. The Coalitions is operated and governed by the San Joaquin County Resource Conservation District. Under the ILRP that was originally adopted in July of 2003, farmers and ranchers that irrigate their land and have runoff from that irrigation or rainfall must belong to a coalition or apply for an individual discharge permit from the Regional Board directly.
To support management planning in Suisun Marsh, this project is developing a body of science and tools to understand past, present, and potential future changes to the Marsh’s ecological patterns, processes, and functions. This project builds on SFEI’s prior work in the Delta, extending historical ecology mapping, landscape change studies, and the Landscape Scenario Planning Tool to cover Suisun's historical and present-day landscapes. Through spatially explicit representations of the historical function and condition of the marsh and analyses of landscape metrics, this project is evaluating changes over time in landscape support for ecosystem functions and services in Suisun. In order to incorporate diverse perspectives into planning resources, project activities include engagement with local tribes and community members to understand community interests, priorities, and uses of the Marsh. Findings will be shared through a report and article for both technical and general audiences, and spatial analyses and data layers will be made available through the Landscape Scenario Planning Tool.
The proposed project is driven by the need to understand how land use has changed historically in California's Central Valley due to various drivers including environmental changes and socio-economic developments. Given the region's dependency on agriculture and its vulnerability to climate change—marked by shifts in precipitation patterns and water availability—it's crucial to model these dynamics accurately to forecast future conditions and plan effectively. Using Agent-Based Modeling (ABM) provides a sophisticated means to dissect past interactions between land use and environmental factors at a granular level. This historical understanding is pivotal as it sets the stage for projecting future scenarios. Additionally, the integration of future hydrology data generated from the CalSim3 model and socio-economic scenarios allows for a comprehensive analysis of potential future states. This analysis aims to explore strategic land use modifications that can meet future socio-economic goals under varying water availability scenarios.
This research supports several key science actions, making it highly relevant to current policy discussions. It provides actionable insights into large-scale experiments (Science Action 1C), assesses the impact of climate on ecosystems (Science Action 6A), and explores water allocation strategies (Science Action 6E), thereby equipping policymakers and stakeholders with the necessary tools for informed decision-making. These decisions are crucial for maintaining ecological flows and ensuring the longterm viability of both the agricultural sector and the natural ecosystems upon which they depend.
The Wetland Regional Monitoring Program (WRMP) Fish and Fish Habitat Monitoring project is a collaborative effort to track biological responses to tidal wetland restoration in the San Francisco Estuary. Monthly sampling is conducted across a network of benchmark, reference, and project restoration sites in the South Bay and North Bay, with the goal of evaluating how wetland restoration influences fish assemblages, habitat use, and ecological condition.
The study uses primarily otter trawls to monitor fish and macroinvertebrate communities. Standardized field methods align with those used in long-term monitoring programs to ensure comparability and data integration across regions. Environmental data, including water temperature, salinity, and dissolved oxygen, are collected in tandem with biological sampling to assess habitat quality and seasonal dynamics.
The program addresses WRMP Guiding Question #4: How do policies, programs, and projects to protect and restore tidal marshes affect the distribution, abundance, and health of fish and wildlife? The data support adaptive management, regulatory compliance, and science-based restoration planning by identifying key habitats, tracking restoration performance, and detecting regional patterns in species composition and abundance over time.