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    Two men on a pier, one with a clipboard and the other with a fishing pole
    A young woman measures a fish on a pier.
    A young woman weighs a fish on a charter boat
    Two men and a child fishing on a sandy beach
    A young woman wearing a California Fish and Wildlife cap measures a fish on a dock

    If you’re an avid marine sport angler, you have most likely seen the smiling faces and brown polo shirts of California Recreational Fisheries Survey (CRFS) samplers. Since its inception in 2004, CRFS has grown into one of the state’s largest and most important survey efforts. Survey samplers are tasked with collecting data about both recreational fishing catch and effort.

    Annually, CRFS samplers make direct contact with 68,000 fishing parties at over 400 sampling sites between the California-Oregon state line to the California-Mexico border. A separate but related telephone survey effort contacts an additional 26,000 anglers. A program of this large scale is necessary because recreational fishing effort and success rates are highly dynamic – a large sample size is needed to adequately estimate catch and effort. Recreational fishing effort is also very challenging to predict, as it can be affected by many factors (weather, gas prices, time of year, fishing seasons, etc.). But the recreational sector accounts for a significant portion of overall marine harvest, so it’s essential to collect that data to produce reliable estimates of harvest.

    CRFS is part of a larger effort to estimate recreational catch and effort on the west coast and is integral to the national effort conducted by the National Marine Fisheries Service’s Marine Recreational Information Program. This partnership allows CRFS methods to be periodically peer reviewed by expert consultants throughout the country. This review provides certification that the methods meet or exceed national standards and fisheries management needs, and can recommend the use of new methods to address changing needs or to capture emerging fisheries.

    There are three parts to the survey. The first is the field sampling component. This consists of in-person interviews conducted for four different fishing modes – beaches and banks, man-made structures, private/rental boats, and commercial passenger fishing vessels. Field survey questions are specific to catch and effort data during daylight hours at publicly accessible sites. The second part of the survey is the telephone survey. Anglers are randomly selected monthly through the state’s online Automated License Data System (ALDS) and asked about effort data (the number of fishing trips taken) at beach and bank sites. The telephone survey also collects data from private boats returning to sites not sampled during the field survey, and private boats returning at night. The third part of the survey is collection of data from commercial passenger fishing vessel logs. Captains submit this information for every trip, and the data is used together with field sampling data to estimate overall fishing effort.

    All of this information is used in many ways. In addition to CDFW, the Fish and Game Commission and the Pacific Fishery Management Council use the data to:

    • Track in-season catches against annual harvest limits, especially for certain over-fished groundfish species, such as Yelloweye and Cowcod rockfish.
    • Produce in-season salmon estimates in coordination with the CDFW Ocean Salmon Project.
    • Aid the development of regulations, including fishing season, bag limits, minimum size limits and depth limits.
    • Assess stocking needs for individual fish species.

    How can you help? There are two ways! If you encounter a CRFS sampler in the field, please cooperate and answer the interview questions truthfully. Take the time to allow the sampler to examine and measure any catch. Recreational anglers, particularly those who fish frequently, are more likely to encounter CRFS samplers. Every fishing trip is unique — different target species, success rates, different locations, different gear, etc. — so we ask anglers, “Even if you have completed this survey before, please cooperate each time you are asked!”

    Secondly, if you receive a phone call, please say “yes” to the CRFS telephone surveyor. Data collected through this telephone survey is used to estimate fishing effort that cannot be estimated any other way.

    Personal contact information is always kept confidential, and the information that is collected becomes part of a public database. To learn more about the CRFS, access the database or download related flyers and brochures, please visit www.wildlife.ca.gov/Conservation/Marine/CRFS.

    Categories:   General

    sunrise over a California salt marsh
    two young women in a marsh, one holds a tiny mouse

    Deep in the pickleweed in the San Francisco, San Pablo and Suisun Bays, the tiny salt marsh harvest mouse (Reithrodontomys raviventris) tries to avoid predators and compete with other species for prime habitat. Food and cover are abundant, but its overall habitat is shrinking as humans encroach upon its home range. In south San Francisco Bay alone, 95 percent of the historic salt marsh has been lost to industrial parks and subdivisions. Annual flooding in the winter can be perilous, too -- when vegetation is topped by rising tides, the mice must scramble to find taller vegetation or into upland habitat (grasses around the wetlands that don’t get flooded by the tides).

    As part of the effort to monitor and conserve this state- and federally-listed endangered species, biologists conduct annual surveys of the salt marsh harvest mouse. The effort involves setting up traps stuffed with cotton batting and baited with birdseed and walnuts, taking measurements and collecting other data on the subjects that are captured. In some studies, the mice are fitted with GPS collars for tracking, or ear tags to help identify them upon recapture. In other studies, the biologists simply clip away fur on the mouse’s flank or neck – another method that helps them determine whether a mouse in a trap has crossed paths with them before.

    Once a mouse’s measurements have been recorded, they are set loose to scamper back into the pickleweed. The data that’s been collected will later be entered into a larger database that will be accessible to researchers from multiple state agencies (CDFW, the Department of Water Resources), federal agencies (US Fish and Wildlife Service, the US Geological Survey), educational research institutions (UC Davis, CSU San Marcos, San Francisco State) and private industry.

    By comparing population fluctuations and other data throughout the range, scientists hope to identify threats and increase their understanding of this rare rodent’s biology and behavior – ultimately helping to better inform future decisions on habitat management, restoration and enhancement efforts.

    Categories:   Wildlife Research

    A buck with a collar walks through brush on a hillside
    A young woman attaches a trail camera to a dead tree trunk.

    Deer population estimates are an important element of the California Department of Fish and Wildlife’s (CDFW) management decisions regarding the species – including setting quotas for deer-hunting seasons, acquiring land and identifying habitat improvement projects. Historically, CDFW has relied upon helicopter surveys to obtain these population estimates, but such surveys can be problematic. While they are effective in open and largely flat areas, they are less so in tree-laden areas where deer are hidden from sight. They can also be extremely expensive.

    Now, thanks to emerging DNA technology, scientists are exploring a less invasive, cost-effective alternative: Analysis of what the deer leave behind.

    The use of DNA is not new, of course – CDFW has used hair or tissue samples to extract DNA and identify individual animals for years. But scientists are finding that the painstaking collection and analysis of deer droppings is particularly useful because it allows them to gather the necessary information without physically touching (or stressing) the animals. And that, one might say, is the “bottom line.”

    Fecal DNA analysis is being used by wildlife biologists in the North Central Region as part of a six-year region-wide study of mule deer (Odocoileus hemionus) that will provide population estimates in areas where data has previously been lacking. CDFW scientists, in cooperation with UC Davis, will use the deer pellets to take a genetic “fingerprint” designed to help estimate deer populations.

    Starting in 2016, a crew began setting transects for pellet collection in the standardized sampling locations (known to hunters as deer zones X6a/b, X7a/b and X8) which are located in Lassen, Plumas, Sierra, Nevada, Placer and Alpine counties. After starting points were randomly selected, habitat information and pictures were collected along with fresh pellets. After the pellets were removed from the area in an initial sweep, scientists revisited the transect once a week for three more weeks to collect new samples. Between July and September of 2016, biologists visited 43 different transects in the summer range and collected and analyzed 458 fresh pellet samples. Staff also captured 20 does and seven bucks and fit them with satellite collars that produced data that helped identify summer home ranges.

    CDFW will also use DNA to identify individual deer to help gather buck/doe/fawn ratios. Biologists will then combine the DNA data with home range data from collared deer to calculate the estimated number of deer in the population. This year staff have already completed another 36 plots and collared 18 more deer. Another series of pellet collections is scheduled next year, with a goal of continuing until all 17 counties in the region have been sampled.

    Although several DNA projects are occurring across the state, this project is the largest landscape-level study for deer in California. The study is funded through CDFW’s Big Game Account, a dedicated account that provides research and management funds for game species. The University of California will conduct the laboratory work and statistical analysis.

    Categories:   Wildlife Research