Whether you’re an angler, diver, conservationist, or just someone that is generally interested in fisheries issues, you’ve likely heard the term “stock assessment” before. Oftentimes this comes in the form of: “The latest stock assessment for [insert species] is out, and it says the stock is ________." The blank is usually filled by one of four common phrases: “overfished and undergoing overfishing,” “overfished and not undergoing overfishing,” “not overfished and undergoing overfishing,” or sometimes “not overfished and not undergoing overfishing.” While these phrases describe important distinctions to fisheries scientists and managers, what they mean and how they are determined is far from obvious. What are stock assessments? How do they work? How do we make management decisions from them? This publication aims to shed light on the process fisheries scientists refer to as a “stock assessment” and intends to provide information to the public, individuals serving in natural resource management agencies, and individuals working in outreach and Extension, so that they may better understand and explain what stock assessment models are and why management agencies use them to make decisions.
Important Terms for Stock Assessment
Stock: A portion of a fish population that is distinguished by a particular migration pattern or specific spawning grounds and/or is subject to a distinct fishery. For example, Florida often splits stocks into Gulf and Atlantic units. This is because they are geographically separated, undergo different levels of fishing pressure, and experience regionally distinct environmental conditions.
Unfished stock size: The stock size according to the assessment model if there were no fishing.
Recruitment: The amount of fish added to the stock each year due to growth and/or migration into the fishing area. For example, the number of fish that grow to become vulnerable to the fishing gear in one year would be the recruitment to the fishable population that year; 2. This term is also used in referring to the number of fish from a year class reaching a certain age. For example, all fish reaching their second year would be age-2 recruits.
Fecundity: The potential reproductive capacity of an organism or population expressed in the number of eggs (or offspring) produced during each reproductive cycle. Fecundity usually increases with age and size.
What are stock assessments?
The term “stock assessment” is commonly used to describe two things: (1) a quantitative model that estimates fish population size and how it is affected by fishing, and (2), a broader management process whereby the stock assessment model is used, along with other information, to make decisions about fishing regulations and future research. This publication focuses on (1), the stock assessment model itself. We do this because stock assessment models are central to the broader stock assessment management process and because stock assessment model principles are consistent regardless of what the broader stock assessment management process is. For example, state and federal stock assessment management processes often differ, but both will rely on the same principles of stock assessment models. This is illustrated in Figure 1.
So what are stock assessment models? Similar to the way that meteorologists model hurricane trajectories to predict impacts, fisheries biologists are able to model fish populations to predict their response to fishing (or lack thereof). Stock assessments models are mathematical equations that describe how fish grow, how they reproduce, and how they die. How they die is often the key, because fisheries biologists usually separate out mortality due to natural causes from mortality due to fishing. That way they can tell what the stock might look like without fishing, and how the stock might respond to different levels of fishing. These mathematical representations of fish populations and fishing are fine-tuned or “fitted” to existing historical fisheries data through a statistical process. A stock assessment model is simply a mathematical representation that indicates a fishery’s status, the historical productivity of a stock, and how components of the stock have changed over time. They allow scientists to make the best possible predictions about the effects of fishing on fish populations, and eventually, the most appropriate management actions.
Figure 2. Credit: Nicholas Fisch, UF/IFAS
How do stock assessment models work?
Central to any stock assessment is the attempt to estimate the role that fishing plays in affecting (in this case, reducing) the population or “stock” of fish. While to do this, stock assessments will also produce estimates of the total number of fish that are in the stock, the population estimate alone, without understanding the role of fishing, provides little information on how to ensure a sustainable fishery. What scientists most need is an understanding of what proportion of fish being killed by fishing (this is the harvest rate) will allow the population to be sustained at a level that provides socially and economically valuable catch into the future. If the harvest rate is too great, the population of fish will decline and catch rates will eventually fall. A harvest rate much less than a sustainable one might be forgoing revenue or satisfaction from people catching more fish. Sustainable rates of harvest vary across species, depending on biological aspects like how fish grow, die naturally, and reproduce. So this biological information, as well as information about past and current stock or population size (number of fish) is needed to make good recommendations for management. So how do fisheries biologists figure out what these harvest rates, biological rates, and population sizes are?
Assessment scientists use multiple sources of fishery data to model stock status; data on total harvest (or catch), data that indicate how the stock has changed over time (relative abundance data), and data that indicate how components of the population, by age or size, have changed. Relative abundance data often come in the form of catch rates, the most basic being total catch for a year divided by the total effort expended during the year.
Some Additional Details on Data
In commercial fisheries, total catch (in pounds) is usually known because fishers (i.e., those engaged in commercial fishing) have to weigh their catch to sell it and are also generally required to give that information to the relevant regulatory agency. In recreational fisheries, it is harder to get a measure of total catch. This is usually done by sampling anglers at boat ramps and then scaling up the mean catch to all anglers. For example, from interviews at boat ramps the average number of fish caught may be 2 fish per trip; you could then multiply 2 fish by the total number of trips taken to get the total catch. Metrics of effort expended in a year can be the number of trips anglers take, the number of hours they were fishing, the number of nets they set, the number of trawls they towed, etc. Stock assessment models also use information on the growth rates of fish, the fecundity of fish, and the egg survival rate to some young age, which fisheries biologists also call recruitment. These data are typically collected for individual species from samples taken through sampling the fishery (fishery-dependent data) or from directed research initiatives (fishery-independent data.).
Many stock assessments assume that catch rates are proportional to total abundance. This means that if the catch rate in one year was 5 fish per unit of effort and in the following year was 10 fish per unit of effort, the assessment would assume the stock doubled in size. It is important to remember that catch rates give us information on the relative changes in stock abundance, so we might know that the stock doubled in size but we don’t know if this was an increase from 1 million fish to 2 million fish or from 10 million fish to 20 million fish. The stock assessment estimates the absolute scale of the stock by comparing how well model predictions line up with the data (in particular the catch data). This is what is termed a “statistical fitting” process. It starts by making a guess at the total number of fish in the stock, then adjusts this “guess” based on how closely the model predictions of catch, the catch rates, and the catch composition (see paragraph below on catch composition) line up with the actual data. The process is repeated until the statistical fit to data is no longer improved. This is the stock assessment’s “best guess” or most credible representation of the historic population.
Catchability and Fisheries Research Surveys
It is important to recognize that catch rates are only proportional to total abundance if fisher catch efficiency, or catchability, stays the same over time. That is to say, the proportion of the total stock caught per unit of effort does not change. However, this very well may change, especially if there are improvements over time in fishing gear efficiency (like better boats, motors, line, nets, etc.) or if fishers are better at finding concentrations of fish (either because the fish concentrate in ideal habitats or because of better electronics like sonar-fish finders and GPS). Fisheries biologists can try to get around this by substituting or supplementing data on fishery catch rates with data on catch rates from scientific surveys specifically designed to get around the issues noted above. One of the most famous examples of a fishery collapse, the Atlantic cod, was partly attributed to the stock assessment using fisher catch rates as indices of relative abundance when fishers were able to catch just as many fish as the stock was dwindling. The stock assessment estimated that total abundance was somewhat constant all while the true abundance was actually on a decline.
Age composition is another major data source that feeds into stock assessments. Most fishery species undergo some level of biological sampling from state and federal management agencies, allowing for the verification of individual fish ages and accurate age and growth curves for specific stocks. Age composition of a stock refers to the proportions of fish in each age class that were caught over the year in a fishery. For example, out of the catch of species “X” within a given year, 19% were age-1 fish, 23% age-2, 24% age-3, 19% age-4, and 15% age-5. Age composition data are particularly powerful because, once the vulnerability of different ages to fishing is corrected for, they provide information on the mortality rates of fish.
Age Composition Example
Let’s assume we have vulnerabilities of 50% for age 1, 75% for age 2, and 100% for all the other ages. This means that only half of age-1 fish are susceptible to capture from fishing gear, ¾ of age-2 fish are susceptible, and 100% of older fish are susceptible. Our age-3 composition above was 24%; in the following year our age-4 composition is 19% (age-3 fish become age 4 in the following year). Given age 3 and 4 are equally vulnerable to fishing gear—0.19/0.24=0.79—we would conclude that the mortality rate of age-3 fish was about 20% (or survival rate of 80%).
We can do this same exercise for younger ages while correcting for different vulnerability to capture:
Age 1, 19%; in the following year, age 2, 23%— (0.23*1/0.75)/(0.19*1/0.5)=0.80.
This is conceptually identical to what goes on within a stock assessment because it calculates the number of fish that must have been alive according to the composition data from the fishery (and research surveys).
Vulnerability to fishing gear refers to the susceptibility of different ages of fish to capture. For example, given the hook size someone is using, they may only catch a narrow size-range of fish (the hook may be too big for the youngest fish and too small for the oldest and biggest fish).
Where harvest data help scale the population size and catch rates provide stock assessments with information on the relative changes in stock abundance, age-composition data provide information on mortality rates of fish, susceptibility of fish at different ages to fishing gear, and the relative scale of different year classes. When put together, these data sources can model a fish population, allowing fishery biologists to examine the effect of fishing on stock abundance and mortality rates. This is what we call stock assessment.
How do we make management decisions from stock assessments?
The overall goal of limiting harvest in fisheries is to ensure enough adult spawning animals are left in the population to replenish the stock and sustain future fishing. This target amount is typically estimated to be between 20%–50% of the unfished stock size (the expected stock size if there were no fishing), although it varies by species depending largely on the natural mortality rate and reproductive output of the stock (Caddy and Mahon 1995; Clark 1991; Goodyear 1993). So, what does it mean if a stock is considered “overfished?” It means the stock size is below this species-specific threshold level, or the stock size is less than the critical level of spawning adults needed to sustain the population over the long term. For example, if a species’ threshold level was set at 30%, we would say the stock is “overfished” if the assessment estimated a spawning stock size less than 30% of unfished levels. Managers may then choose to limit harvest in order to let the stock rebuild to a sustainable level (in this case, above 30%), at which the stock would no longer be considered “overfished.”
The term “overfishing” refers to the specific mortality rate added to the stock by the process of fishing. If a stock is “undergoing overfishing,” it means that if we kept fishing at this level the stock size would eventually cross the “overfished” threshold. This is the reason why a stock can be considered “overfished” but not be “undergoing overfishing,” as is often the case when fishing is significantly regulated to rebuild the stock. Alternatively, a stock could be “undergoing overfishing,” but not be considered “overfished;” if fishing were to continue at the same level, that stock would be expected to become “overfished.”
Figure 3. Credits: Nicholas Fisch, UF/IFAS
Stock Assessments in Florida
As the “fishing capital of the world,” Florida has an abundance of species and stocks that undergo stock assessment routinely.
Stock Assessments in Florida
Stock assessments are most often done solely for commercially exploited species because there is sometimes too little harvest from recreational fisheries to make a warrant concern for overfishing. For many freshwater fishes important to the state of Florida and recreational anglers, like largemouth bass, stock assessments may also not be completed because there may not be enough harvest data on the specific lakes or ponds where there are population concerns. However, stock assessments are completed for other important and especially marine species subject to recreational fisheries, like red drum or common snook. For these species, the sheer number of anglers combined with more harvesting behavior (as opposed to catch and release) means that overfishing may be a concern. Also, stock assessments for marine species like red drum and common snook are almost always completed at much larger spatial scales (like the entire Florida Gulf Coast, or the Northern and Southern Florida Gulf coast), which means there are more often enough data to complete the assessments.
State-managed stocks are those found within the Florida state water boundaries (0–3 nautical miles on the Atlantic coast and 0–9 nautical miles on the Gulf coast). All stocks that inhabit waters outside of the state boundary out to the 200 nautical mile exclusive economic zone line fall under federal jurisdiction. For stocks managed by the state of Florida, the Florida Fish and Wildlife Conservation Commission (FWC) has a stock-assessment group that regularly conducts assessments on important Florida fish and invertebrates such as the common snook, red drum, spotted seatrout, striped mullet, stone crab, spiny lobster, etc. Documents describing these stock assessments can be found at https://myfwc.com/research/saltwater/stock-assessments/. Federally managed stocks, which include many reef and pelagic species such as gag grouper, red grouper, and amberjack, are assessed by the National Marine Fisheries Service (NMFS). Documents describing federal stock assessments from the southeast region of the United States can be found at the Southeast Data, Assessment, and Review (SEDAR) website: http://sedarweb.org/sedar-projects. The SEDAR process of stock assessment is meant to be transparent to the public and consists of data, assessment, and review workshops where fisheries representatives can attend and provide comment. Many stocks overlap state and federal boundaries, so management agencies often work together on the assessment process and associated fisheries regulations.
Additional resources online:
Caddy, J. F., and R. Mahon. 1995. “Reference Points for Fisheries Management.” FAO Fisheries Technical Paper Number 347.
Clark, W. G., 1991. “Groundfish Exploitation Rates Based on Life History Parameters.” Can. J. Fish. Aquat. Sci. 48:734–750. https://doi.org/10.1139/f91-088
Goodyear, C. P. 1993. “Spawning Stock Biomass Per Recruit in Fisheries Management: Foundation and Current Use.” In: Risk Evaluation and Biological Reference Points for Fisheries Management, vol. 120. Canadian Special Publication of Fisheries and Aquatic Sciences, edited by S. J. Smith, J. J. Hunt, and D. Rivard, 6781.
SEDAR (Southeast Data, Assessment, and Review). 2015. Gulf of Mexico Red Grouper stock assessment report (SEDAR 42). SEDAR, North Charleston, South Carolina.