Points of consensus on catch-and-release: Considerations for science, ethics, and fisheries management
Bibliographic record
Abstract
Catch-and-release (C&R), whether via regulations or voluntary actions, is typically employed with the intent of reducing fishing mortality while maintaining recreational angling opportunities (Isermann & Paukert, 2010), but there has been significant discourse about the relative importance of individual-level (see Cooke et al., 2025) vs. population-level (see Corsi et al., 2025) effects of C&R. We hope to offer the angling, scientific, and management communities some points of consensus from which this multifaceted dialogue on C&R can productively build. We preface this by noting that our collective views were informed by this process and the opportunity to share and learn from each other. What is apparent from this exercise is the value of embracing a holistic, cooperative approach. From a regulatory perspective, C&R is typically implemented in high-effort fisheries that are popular due to the quality of the fishing. Catch-and-release regulations are also applied in fisheries where populations have declined and fishing mortality is thought or, most appropriately, known to be a limiting factor for the population. When practiced voluntarily, anglers engaging in C&R can be characterized by high avidity and specialization, and angling is often a central component of their identity (e.g., Fisher, 1997). Due to their passion, avid anglers tend to spotlight the ethical, scientific, and regulatory considerations of C&R. As such, there is a need in fisheries management and science to understand in what situations these considerations transcend biological scales and how to navigate the gamut of voluntary actions and regulatory mandates. In this essay, we offer a distillation of the emergent consensus concepts that we hope managers and researchers will consider at both individual and population scales for legal, ethical, and scientific deliberations. Fishing, like hunting, is a utilitarian, consumptive activity where outcomes span a spectrum that includes escape, injury, stress, and mortality of fish regardless of whether angler intent includes C&R, harvest, or some combination (Arlinghaus et al., 2021). Many of the principles that fish and wildlife management agencies promote for ethical hunting practices can and should apply to fishing. Practices that reduce the stress of fish during harvest or release are good for individual fish (which is increasingly important in some jurisdictions, where limits have been placed on C&R primarily for ethical reasons) and portray anglers as responsible ambassadors for the sport. Best practices, including pursuing fish with appropriate legal gear, careful and respectful handling, and ethical care of meat, serve to project a positive image to anglers and nonanglers alike. Treating other anglers with respect is also critical to the continuation of fishing as a healthy and viable outdoor endeavor. Sharing information with anglers about best handling practices benefits fish and fishing by cultivating norms for responsible angling. Unfortunately, some individual anglers, clubs, and media outlets have resorted to public shaming to relay these messages. Instead, we hope that anglers and fishery management professionals can extend a helping hand, model best practices, provide novice anglers with helpful resources in formats that are accessible, understandable, and effective, and offer grace when an angler acts outside the ethical and social norms of a fishery. Afterall, social concerns (e.g., sanctioning, angler alienation, declining relevance, reduced resources for conservation) may be a greater threat to the future of angling than concerns associated with recreational fishing mortality. Evolution is a function of fitness, which is measured at the scale of individual fish. Evolutionary dynamics have important implications for both fish populations and for fishing. Individual fitness shared across abundant individuals in a population maximizes the long-term viability of populations through genetic diversity, which maximizes the evolutionary potential of fish populations to adapt to dynamic environments, novel interactions, and changing climate conditions. The best fisheries are typically comprised of fish that are fast growing, aggressive, and ultimately catchable. Those traits, in situations where they are both heritable and driven more by genetics than environment, are theoretically protected by regulations or individual anglers maximizing the survival (and fitness) of individual fish (Sutter et al., 2012). Individual fish also matter since this is the biological level at which anglers interact with the recreational fishery. Where fishing mortality is limiting to a population, it is the collective benefits of individual C&R events amplified at the scale of an entire fishery that improve sustainability. In these instances, science-based best practices (e.g., minimizing air exposure, contact with dry surfaces, handling time) operate at the level of the individual fish by reducing lethal and sublethal effects, which can have potential benefits that scale up to the entire fishery. In most cases, whether a fish lives or dies matters to the fish, the person who caught the fish, the other anglers that might have interacted with it, and in some cases, broader society, but generally not to the sustainability of the population or the species. Whether a fishing opportunity is sustainable must be considered at a population scale. It is fair to say that there is some confusion about this within the C&R angling sphere, largely because it is easy to make the logical conclusion that the population whole is simply the sum of individual C&R survival parts. However, the realities of population ecology are far more complicated; a myriad of compensating mechanisms and environmental variables make population consequences of C&R difficult to understand at an individual scale (Kerns et al., 2012). Fortunately, these complexities (e.g., reduction of negative density-dependent effects) are also what make many recreational fisheries sustainable, despite inevitable fishing mortality. The ultimate intent of any restrictive regulations, such as C&R, is to alter population characteristics such as abundance or size structure in a manner desired by public trust beneficiaries (i.e., anglers), and effective management implementation (and objective evaluation) requires a comprehensive understanding of fish population dynamics. Unfortunately, many anglers, managers, and scientists either have an incomplete understanding or make too many assumptions about the nature of fishing mortality and its influence on population dynamics. In our observation, these assumptions are often used as a red herring for gear-specific user groups to argue for exclusivity in fisheries (e.g., Schill & Scarpella, 1997). Regardless of intent, conservation arguments based on incomplete understanding of fishing mortality are not a valid reason for regulation changes. Returning to the Golden Rule (i.e., treat fish and other anglers with respect), an important way scientists and public trust managers can ensure they are fulfilling their professional role is to be crystal clear about the biological scale and scope of either fishing best practices or regulations. Ethical handling practices generally involve improving the capture experience for individual fish, individual anglers, and those individuals who observe the capture event. Empirically scaling the individual effects of C&R up to a population scale can be challenging, but it is an imperative endeavor so that trustees and trust beneficiaries may be properly informed as to whether a concern is at an individual (fishing ethics) or population (fishing regulations) scale. Fishing regulations are best implemented when they improve the abundance, size structure, or viability of a population. Fishing mortality due to C&R (Fcr) or sublethal impacts on reproduction can have population-level or evolutionary effects in some situations, but these effects cannot be assumed nor taken for granted. Prioritizing certain types of fisheries for these challenging population scale evaluations is important, particularly for long-lived fishes (e.g., White Sturgeon Acipenser transmontanus, rockfishes Sebastes spp.) and threatened or endangered fishes—especially those subject to multiple capture events at key life stages (e.g., steelhead Oncorhynchus mykiss). While ultimately complicated, quantifying basic population rate functions (i.e., growth, recruitment, mortality) will be most insightful and help inform whether a restrictive regulation will improve population characteristics. When justified, estimating Fcr by evaluating fishery-specific angler effort, catch, and harvest, along with the rates at which individual fish die following C&R, is especially important. Science-based best practices are good for fish, good for anglers, and help ensure recreational fishing remains ethically sustainable. These best practices can be promoted through education and outreach using positive messaging. Science-based population management is the proper tool to ensure that recreational fishing is biologically sustainable. That management is best implemented with population-relevant regulations supported by responsible anglers (e.g., compliance with regulations, adoption of responsible fishing practices). Fisheries managers have a professional responsibility for managing and conserving fishery resources but cannot do it alone. Anglers serve as important stewards given their direct interaction with fish as well as with the regulations intended to conserve fish populations. Embracing a holistic, science-based approach to C&R will help to ensure that recreational fisheries are sustainable and responsible. Cooke is supported by the Natural Sciences and Engineering Research Council of Canada. We thank M. Allen, K. Anstead, Z. Klein, and J. Long for helpful comments on a previous version of this manuscript. Support for this project was partially provided by the U.S. Geological Survey—Idaho Cooperative Fish and Wildlife Research Unit, which is jointly sponsored by the University of Idaho, U.S. Geological Survey, Idaho Department of Fish and Game, and Wildlife Management Institute. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".