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Marmorek, D. and C. Peters. 2001. Finding a PATH toward scientific collaboration: insights from the Columbia River Basin. Conservation Ecology 5(2): 8. [online] URL: http://www.consecol.org/vol5/iss2/art8/
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Report Finding a PATH toward Scientific Collaboration: Insights from the Columbia River Basin David Marmorek and Calvin Peters
ESSA Technologies Ltd.
Observed declines in the Snake River basin salmon stocks, listed under the U.S. Endangered Species Act (ESA), have been attributed to multiple causes: the hydrosystem, hatcheries, habitat, harvest, and ocean climate. Conflicting and competing analyses by different agencies led the National Marine Fisheries Service (NMFS) in 1995 to create the Plan for Analyzing and Testing Hypotheses (PATH), a collaborative interagency analytical process. PATH included about 30 fisheries scientists from a dozen agencies, as well as independent participating scientists and a technical facilitation team. PATH had some successes and some failures in meeting its objectives. Some key lessons learned from these successes and failures were to: (1) build trust through independent technical facilitation and multiple levels of peer review (agency scientists, independent participating scientists and an external Scientific Review Panel); (2) clarify critical uncertainties by developing common data sets, detailed sensitivity analyses, and thorough retrospective analyses of the weight of evidence for key alternative hypotheses; (3) clarify advice to decision makers by using an integrated life cycle model and decision analysis framework to evaluate the robustness of potential recovery actions under alternative states of nature; (4) involve key senior scientists with access to decision makers; (5) work closely with policy makers to clearly communicate analyses in nontechnical terms and provide input into the creation of management alternatives; and (6) recognize the trade-off between collaboration and timely completion of assignments.
KEY WORDS: adaptive management, analytical framework, collaborative process, Columbia River, decision analysis, endangered species, hydrosystem, multi-agency research, salmon management, Snake River.
Published: December 11, 2001
Salmon populations in the Snake River sub-basin of the Columbia River in Oregon and Idaho, USA (Fig. 1) have been in decline since the late 1800s (National Marine Fisheries Service 1995), with particularly dramatic declines occurring since the mid-1970s (Schaller et al. 1999). Snake River spring, summer, and fall chinook (Oncorhynchus tshawytscha), and steelhead (Oncorhynchus mykiss) are all listed as threatened under the Endangered Species Act (ESA; see Table 1 for definitions of acronyms), and Snake River sockeye (Oncorhynchus nerka) are listed as endangered. Accelerating declines have been attributed to various factors: habitat degradation in freshwater and estuary rearing areas; tributary and ocean harvest (particularly for fall chinook and steelhead); interaction with hatchery steelhead and chinook smolts; changes in ocean conditions; completion in 1976 of the eight dams and reservoirs that comprise the Federal Columbia River Power System (FCRPS); and initiation of large-scale transportation of smolts in trucks and barges from the upper dams past the FCRPS to below Bonneville Dam (the last dam encountered by smolts as they migrate out of the Columbia River).
Simultaneous changes in the system confound attempts to determine the importance of the four H’s (habitat, harvest, hatchery, and hydro) and ocean conditions in causing historic stock declines (Fig. 2), and, consequently, the best course of action for recovering stocks. Different beliefs about which factors contributed most to observed declines resulted in the development of three different modeling systems for evaluating recovery strategies for Columbia River salmon stocks. These systems were developed by State and Tribal fishery managers, federal hydropower operating agencies (Bonneville Power Administration (BPA), the U.S. Army Corps of Engineers, and scientists at the Northwest Power Planning Council (NPPC), a political body that oversees research programs in the Columbia River. The models used the same basic kinds of information, but had different underlying assumptions that generally reflected the policy favored by the sponsoring agency. As a result, they provided different, often-conflicting management advice about the relative performance of alternative recovery strategies for Snake River populations.
In 1995, the National Marine Fisheries Service (NMFS), after three years of comparing these models and subjecting them to external peer review, issued a Biological Opinion on the FCRPS (a document that summarizes the status of listed stocks and prescribes hydropower system operations to avoid extinction), in which they concluded that the emphasis should shift to identifying and evaluating the models’ assumptions (NMFS 1995:124, Rec. 17). This recommendation was augmented by a 1994 court ruling (IDFG vs. NMFS, D.Or 1994) that determined that NMFS must consult with State and Tribal biologists. The new, collaborative process that was formed in response to the NMFS and court recommendations became known as the Plan for Analyzing and Testing Hypotheses (PATH). At its formation, PATH was intended to help reduce uncertainties in NMFS's future hydrosystem decisions.
PATH operated from September 1995 to May 2000 at a total cost of U.S.$7 million, funded from BPA power revenues through the NPPC’s Fish and Wildlife Program. We had the challenging tasks of facilitating and coordinating the PATH process. Our purpose in this paper is to summarize the overall PATH process, the complex institutional context in which it operated, and lessons learned that might apply to other collaborative research processes. Although we have considered the perceptions of others working within PATH or using its results, the conclusions presented here are our own.
Columbia River agencies faced many institutional and technical challenges to selecting the best long-term recovery strategy (see column 1 of Table 2). Many of these challenges are common in resource management problems. Less common are analytical processes with the necessary attributes to meet these challenges and help managers make difficult decisions (see column 2 of Table 2). Although no process is likely to meet all of these requirements, the degree to which these requirements were met in PATH forms a useful template for assessing its strengths and weaknesses.
PATH adopted six tools and approaches to meet these scientific and policy challenges (see column 3 of Table 2).External oversight
The structure of PATH resulted from discussions with senior policy makers and scientists in 1995. PATH’s immediate “client” was the Regional Forum for the Implementation of NMFS’s 1995 Biological Opinion, or “Implementation Team” (I. T.) (Fig. 3). The Implementation Team included Federal and State fish and wildlife agencies and FCRPS operating agencies. Although the I. T. represented a broad range of interests and objectives, its mandate was to focus entirely on hydrosystem operations and associated long-term decisions. About four times per year, the I. T. received detailed presentations on PATH’s findings and helped to prioritize its activities.
PATH consisted of about 30 scientists who contributed directly to workshops, analyses, and products (Appendix 1). Specialties included fisheries biology and management, analytical and modeling skills, field studies, experimental design, and dam operations. Although most scientists were employees or consultants from 12 regional institutions (Fig. 3), PATH also included an independent facilitation team and three independent scientists. The three independent scientists, who had expertise in the areas of conservation biology, quantitative methods, fisheries management, and decision analysis, assisted participants in developing and critiquing analytical methods and results. PATH activities were coordinated by a six-member Planning Group representing the facilitation team, State, Tribal, and Federal fishery agencies, the power system operating agencies, and the NPPC (Northwest Power Planning Council).
The role of the facilitation team was to stimulate and organize PATH analyses, provide clarity to decision makers, maintain the creativity and commitment of PATH scientists, and ensure that analyses met the highest scientific standards. Given the turbulent history, a major challenge was to build trust (or at least mutual respect) among scientists from competing agencies. We used five methods to do this: (1) establish ground rules for interactions (e.g., “be hard on the problem, easy on the people” Fisher et al. 1991); (2) redirect personal attacks into examinations of evidence for alternative hypotheses; (3) develop structured approaches that permit meaningful participation by all PATH scientists; (4) formally document evidence for and against alternative hypotheses; and (5) demonstrate qualities we wished others to display (i.e., respect, objectivity, integrity, creativity, and humor).Internal and external review
The PATH process was deliberately iterative, with four levels of peer review (Fig. 4). Small analytical work groups generally completed initial drafts of analyses, which were then reviewed and refined by larger work groups. Ultimately, all PATH participants reviewed draft reports, and the PATH Scientific Review Panel (SRP) and other regional scientists provided external review of final products. The SRP consisted of four independent scientists providing arm’s length peer review. They spent 150 days over four years reviewing about two thousand pages of PATH reports, and provided valuable direction on methods and priorities for future work.
PATH products were available to the public through open presentations to the I. T. (Implementation Team) and NPPC, and a dozen PATH scientists gave a special joint presentation to the public in February 1999. PATH's presentations were frequently reported by regional print and electronic media, and all reports were made available on the BPA web site http://www.bpa.gov/Environment/PATH. This provided an opportunity for review by other regional scientists.Retrospective analyses
Retrospective analyses followed from the requirement to understand the fundamental differences between models, and set the foundation for prospective analyses (Fig. 5).
The retrospective analyses:
Hypotheses for PATH retrospective analyses of Columbia River spring/summer chinook stocks were developed using a three-level framework to address observed patterns in specific life history stages and stressors that act on those stages (Fig. 6; Appendix 2). Assessments for Snake River steelhead and fall chinook were less comprehensive than for spring/summer chinook because of data limitations.
PATH prospective analyses evaluated the biological consequences of three primary hydrosystem recovery actions for ESA (U.S. Endangered Species Act)-listed Snake River salmonids: continue current operations (option A1); maximize transportation of salmon smolts down the migration corridor (A2); or natural river drawdown of four Snake River dams (A3). Information gained from the retrospective analyses was incorporated into the prospective analyses using a decision analysis approach (Fig. 5), which had been recommended by both the SRP and PATH independent scientists. The prospective/decision analyses of spring/summer and fall chinook employed models to simulate outcomes for each hydrosystem action under a range of hypotheses about various uncertainties, expressed as a decision tree (Fig. 7). This allowed us to: (1) look systematically at the outcomes of management actions across a range of hypotheses; (2) conduct a detailed sensitivity analysis of results to determine “key uncertainties” (Appendix 3); and (3) determine which actions performed well over a broad range of uncertainties (i.e., were most robust). The simulations also considered the range of uncertainty in stock productivity parameters and climate conditions, as estimated from retrospective analyses (Deriso, in press). We calculated weighted average outcomes for each action and also examined the distribution of outcomes over all combinations of hypotheses. Initially, we weighted all hypotheses equally, but later developed a “Weight of Evidence process” for spring/summer chinook to elicit probabilities on hypotheses from the PATH SRP (Fig. 8, Appendix 4).
Experimental management reduces key uncertainties by deliberately implementing spatial and temporal contrasts in treatments and associated monitoring. Although the SRP had recommended in 1996 that PATH design and evaluate experimental management approaches, this exploration only began in December 1998. The goal was to find management approaches that met conservation and recovery objectives, while also generating information to help select long-term management actions. PATH generated a set of seven experimental management and three research activities to distinguish among critical alternative hypotheses that implied different long-term decisions (Table 3). For each candidate activity, we described their spatial and temporal components, associated monitoring, potential learning benefits, risks to stocks, and practical constraints. In October 1999, this list was pared down by the I. T., who selected five experimental management actions plus a base case of current operations for further study of the quantitative trade-off between learning and conservation objectives (Appendix 5). This evaluation was completed in April 2000.
In this section, we assess the extent to which PATH was able to meet each of the challenges facing decision makers on the Columbia River, and some of the lessons learned from PATH’s successes and failures. We focus on some of the key lessons here and provide a longer list of lessons learned in Table 4.
1. Differing management objectives among the participating entities
PATH generally received clear direction from the Implementation Team on management objectives (largely dictated by the Endangered Species Act) and what hydrosystem actions to analyze. The I. T. focused exclusively on hydrosystem actions, consistent with its mandate from NMFS’s 1995 Biological Opinion on the FCRPS, and because other agencies (e.g., U.S. Forest Service, U.S. Fish and Wildlife Service) were reluctant to allow the I. T. to venture into their jurisdictional territories by specifying non-hydrosystem (habitat, harvest, and hatchery) actions. PATH considered only hydrosystem decisions as actions, but we did include habitat, harvest, and hatchery effects as uncertain states of nature in the decision analysis or as sensitivity analyses. Ultimately, though, PATH was criticized because the actions that we evaluated did not adequately capture the complete range of management alternatives and objectives, and thus did not fully address the challenge of differing management objectives among agencies.
PATH scientists recognized the potential pitfalls of focusing only on hydrosystem actions, but were not involved in developing the alternatives and thus had no opportunity to affect the choice of actions. This suggests that analytical processes should allow scientists more input to the development of alternative actions and should broaden the mandate of policy groups like the I. T.2. Lack of trust among scientists and agencies over past disputes and court cases with dueling models
Over PATH’s lifetime, interactions among PATH scientists became much more respectful and constructive. Communication of disagreements progressed from personal attacks to identification of alternative hypotheses and examination of evidence. This was due to several reasons. First, the use of decision analysis did not require consensus, but instead considered all tenable hypotheses and assessed their implications for management decisions. Sensitivity analyses showed that decisions were insensitive to several alternative hypotheses that had been proposed, saving many hours of purposeless debate. Second, it was critical to have independent facilitators, who emerged as the only ones trusted to prepare, revise, and present final PATH products. In an analytical process such as PATH, the facilitation team must be technically proficient so that they can understand the analyses and its assumptions, mediate technical arguments between parties, and present findings to nontechnical audiences. Third, the rigorous internal review process within PATH gave everyone an opportunity to see each other’s analyses before they became public. This eliminated the possibility of surprise attacks characteristic of previous court cases. Fourth, the three independent scientists who actively participated in PATH analyses played a critical role in keeping debates within PATH scientifically grounded and ensuring that arguments over analyses and results were based on facts, not agency positions. Finally, the PATH SRP played a key role as an external arbiter of alternative hypotheses put forward by different scientists. Their involvement throughout PATH’s entire duration gave them an intimate understanding of the issues, models, and analyses. The long-term engagement of the PATH SRP differs from most Blue-Ribbon Panels of Experts, which generally do not have the time or resources to gain as in-depth an understanding of the models and data that they review.
PATH was partially successful in involving a representative range of scientists. Oversight by the multi-agency Implementation Team ensured involvement of a wide range of agencies and interests, and prevented any single agency from overly influencing PATH. Independent funding for PATH participants through the NPPC Fish and Wildlife Program also helped to ensure a level playing field. However, PATH was ultimately unsuccessful in actively involving key senior-level scientists from the NMFS Northwest Fisheries Science Center in Seattle, Washington, USA. In the Pacific Northwest, the Science Center has a very strong influence on NMFS decisions on endangered species. Although three scientists from the Science Center occasionally participated in PATH, they each had numerous other responsibilities, and as a result had less comprehension and ownership of PATH’s methods and conclusions. NMFS was represented in PATH by three very competent scientists from their Portland, Oregon office, but ultimately these scientists had less influence within their agency than did Science Center staff. Had NMFS required senior scientists from their Science Center to participate more directly in PATH starting in 1996, the process and methods probably could have evolved to incorporate their concerns, while still retaining an integrative framework. Instead, the NMFS Science Center eventually developed their own tools and analyses through their Cumulative Risk Initiative (CRI), which ultimately had more influence than PATH on NMFS’s decisions on the hydrosystem. This experience emphasizes the need to involve influential key scientists with strong links to ultimate decision makers.3. Lack of understanding of differences and similarities in the models’ underlying assumptions
PATH retrospective analyses successfully elucidated differences between models, brought substantial empirical information to bear on alternative hypotheses to explain recent declines, produced considerable convergence on historical data sets (some of which were previously thought to be unusable, such as the spawner-recruit data), and made a significant contribution to the regional data inventory. The retrospective analyses also identified major uncertainties in past and current conditions that were unresolvable because of incomplete data and historical confounding (Fig. 2); these uncertainties were carried forward into the prospective decision analysis.
The decision analysis framework permitted rigorous sensitivity analyses of how each uncertainty affected the ranking and performance of actions. Importantly, we found that the different models’ estimate of the survival rate of in-river migrants through the hydropower system, a hotly debated value, was NOT an important determinant of overall life cycle survival. Rather, the key uncertainties that emerged from these sensitivity analyses were related to the cause of mortality in the estuary and ocean (Appendix 3). Key uncertainties were assessed through the Weight of Evidence process (Appendix 4), in which the PATH SRP judged arguments for and against alternative hypotheses and assigned probabilistic weights.
PATH had only limited success in identifying research, monitoring, and adaptive management actions to resolve uncertainties. Although the SRP highlighted the importance of experimental management work in 1996, the I. T. did not authorize PATH to focus seriously on this issue until 1999. We believe that the I. T. placed low priority on experimental management for a number of reasons. First, 1999 deadlines for important regulatory decisions pressured agencies to make firm long-term decisions (with supposed omniscience), rather than acknowledging uncertainty and encouraging deliberate management experiments. Second, discussions of experimental management actions made policy makers uneasy because of their inherent uncertainty. They correctly perceived the risk that management experiments may not deliver desired survival improvements, but were not swayed by arguments that implementing long-term decisions now would also have uncertain results and generate less information than a well-designed experiment.
In the end, PATH’s experience with experimental management was similar to that of others who have run into barriers to the implementation of adaptive management (Gunderson et al. 1995, Walters 1997, and MacDonald et al. 1999), and continues a tradition of ultra-passive approaches to adaptive management within the Columbia Basin (McConnaha and Paquet 1996). Perhaps testimonials from other jurisdictions where experimental management approaches were successfully used would have helped. However, the main lesson here is that experimental management is much easier to sell to policy makers, and to implement, before populations are placed on the endangered species list. Afterward, statutory restrictions on management actions, political pressure for immediate action, public attention on policy decisions, and the precarious status of the stocks make it almost impossible to implement experimental management.4. Lack of clear advice from scientists to decision makers
PATH had mixed success in providing clear management advice to decision makers. We were successful in developing a single integrative data and modeling framework by melding three different life cycle models into a single Bayesian Simulation Model (Deriso in press; Appendix 6). By developing common data sets, an integrated modeling framework, and detailed sensitivity analyses, PATH greatly clarified the overall effects of different assumptions and provided a common understanding of the factors that determined the performance of recovery actions. This was a major advance over pre-PATH approaches, which had to reconcile results of different modeling systems using different data and assumptions.
PATH was less successful in clearly communicating technical analyses to nontechnical audiences. Part of this was because of the relatively complex structure of the integrative modeling framework, which had to be flexible enough to accommodate multiple hypotheses. The integrative life cycle model and the decision analysis, which incorporated multiple hypotheses, were critical approaches for building trust among PATH participants and understanding the factors affecting model results and performance of actions. However, these methods were hard to explain to nonscientists having little experience with these types of risk assessment methods. PATH’s performance measures (the 1995 Biological Opinion Jeopardy Standards) were also complex. It often proved to be difficult to communicate to nontechnical audiences “the probability of the geometric mean number of spawners exceeding a recovery threshold over 4000 simulations.” PATH reports were carefully worded to ensure that the views of all participants were fairly represented. As a result, PATH reports became comprehensive and technically demanding documents that were ill suited for nonspecialists.
A lesson here is that scientists need to think creatively about how to communicate summaries of risk assessments to nontechnical audiences, and to allocate sufficient time and personnel (e.g., technical editors, graphic designers) for producing such summaries. Thoughtfully designed interactive models can also provide nontechnical audiences with insights into the nature of variability and uncertainty (Walters 1994). Another lesson relates to the trade-off between the scientific relevance of model performance measures and their complexity. The Jeopardy Standards were meaningful to PATH scientists, but were difficult to explain to the public. It may have been wise to develop a simpler set of performance measures that, although perhaps less comprehensive, were more readily understood by nonscientists.5. NMFS was under pressure to decide quickly
PATH was usually several months late in delivering results. This was largely because of the time required for participating scientists and agencies to agree on basic data sets, integrate models into a decision analysis framework, complete four levels of peer review, and agree on precise wording of Executive Summaries and presentations. As technical facilitators and synthesizers, we had no formal authority to pressure participants to deliver data and analyses on time, but instead relied on moral suasion to enforce deadlines. A more efficient approach might be to have scientists seconded from their agencies to serve on a task force under some independent institution, and/or give the leadership of such processes strong authority to enforce deadlines (scientific committees of the Intergovernmental Panel on Climate Change do the latter).
In December 2000, NMFS released their final Biological Opinion on the FCRPS (NMFS 2000). This plan largely maintains status quo operation of the hydropower and transportation systems, and relies on mitigation through habitat, harvest, and hatchery management to generate necessary survival improvements. In their decision, NMFS relied almost exclusively on analyses conducted by its Northwest Fisheries Science Center. Although some elements of the PATH analyses contributed to the structure of NMFS’s internal analyses (e.g., spawner-recruit data set, emphasis on uncertainties in the estuary and ocean life stage), NMFS did not accept PATH’s primary conclusions.
Why did PATH ultimately have less influence on NMFS’s decision than was originally envisioned? Given the issues at stake, NMFS was probably reluctant to commit to a collaborative scientific process whose methods, outcome, and schedule they could not control. Both NMFS and the NPPC faced political pressure from various groups to avoid or defer a drawdown decision, which PATH’s results generally supported. Other factors include PATH’s failure to actively involve senior, influential scientists within the NMFS Northwest Science Center, and an insufficient effort to communicate its results to senior policy makers within NMFS and the NPPC. Without a high level of involvement in, or ownership of, PATH analyses, these influential agencies perceived that they could have more control over the analyses and the decision by conducting their own internal analyses. These weaknesses ultimately undermined PATH’s funding support.
The PATH experience thus demonstrates some of the difficulties in implementing collaborative analytical approaches, but it also demonstrates the value of such an approach. Prior to PATH in 1993-1994, NMFS was faced with half a dozen lawsuits. While PATH was operating from 1995 to 2000, there were no lawsuits initiated against NMFS by the participating agencies. Since the termination of PATH in May 2000, many state, tribal, and environmental groups have expressed their dissatisfaction with the lack of collaboration by NMFS in the development of their December 2000 Biological Opinion. It therefore appears unlikely that the parties will remain outside of the courtroom for long in the absence of an established collaborative process. We believe that the courts are not the best place for scientists to do their work of testing alternative hypotheses and assessing alternative actions in the context of multiple uncertainties.
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The authors thank PATH participants, the SRP (Scientific Review Panel), and members of the I.T. for their commitment, creativity, and hard work over five years. Randall Peterman and two anonymous reviewers provided helpful comments on an earlier draft. This research was funded by the Bonneville Power Administration, as part of the NPPC (Northwest Power Planning Council) Fish and Wildlife Program.
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Paulsen, C. M., and T. Fisher. 1997. Update on ocean distribution of coded wire tagged spring/summer chinook. In D. R. Marmorek et al. 1998. Plan for Analyzing and Testing Hypotheses (PATH): Retrospective and prospective analyses of spring/summer chinook reviewed in fiscal year1997. Vancouver, British Columbia, Canada. BPA web site: http://www.efw.bpa.gov/Environment/PATH/reports/1997retro/toc.htm.
Paulsen, C. M., and R. A. Hinrichsen. 1998. Testing the hypothesis that extra mortality of wild Snake River spring/summer chinook varies with releases of Snake River hatchery fish. Submission 2 to D. R. Marmorek and 28 co-authors. 21 August 1998. Plan for Analyzing and Testing Hypotheses (PATH): Weight of Evidence Report. Compiled and edited by ESSA Technologies, Vancouver, British Columbia, Canada. BPA web site: http://www.efw.bpa.gov/Environment/PATH/reports/ISRP1999CD/PATH%20Reports/WOE_Report/.
Paulsen, C. M., R. A. Hinrichsen, and T. Fisher. 1997. Effects of climate and land use on index stock recruitment. In D. R. Marmorek et al. 1998. Plan for Analyzing and Testing Hypotheses (PATH): Retrospective and prospective analyses of spring/summer chinook reviewed in fiscal year1997. Vancouver, British Columbia, Canada. BPA web site: http://www.efw.bpa.gov/Environment/PATH/reports/1997retro/toc.htm.
Peterman, R. M., and J. Anderson. 1999. Decision analysis: a method for taking uncertainties into account in risk-based decision making. Human and Ecological Risk Assessment 5(2):231-244.
Peters, C. N., and D. R. Marmorek. In press. Application of decision analysis to evaluate recovery actions for threatened Snake River spring and summer chinook salmon (Onchorhynchus tshawytscha). Canadian Journal of Fisheries and Aquatic Science.
Peters, C. N., D. R. Marmorek, and R. B. Deriso. In press. Application of decision analysis to evaluate recovery actions for threatened Snake River fall chinook salmon (Onchorhynchus tshawytscha). Canadian Journal of Fisheries and Aquatic Science.
Peters, C. N., I. J. Parnell, D. R. Marmorek, R. Gregory, T. Eppel, S. Carpenter, J. Collie, S. Saila, and C. Walters. 1998. Conclusions and recommendations from the PATH Weight of Evidence Workshop, 8-10 September 1998, Vancouver, British Columbia, Canada. Compiled and edited by ESSA Technologies, Vancouver, British Columbia, Canada. BPA web site: http://www.efw.bpa.gov/Environment/PATH/reports/981008.weight.pdf.
Peters, C. N., et al. (27 co-authors). 1999. PATH decision analysis report for Snake River fall chinook. Compiled and edited by ESSA Technologies, Vancouver, British Columbia, Canada. BPA web site: http://www.efw.bpa.gov/Environment/PATH/reports/991006.fall99d6.pdf.
Peters, C. N., et al. (14 co-authors). 2000. PATH preliminary evaluation of the learning opportunities and biological consequences of monitoring and experimental management actions. Compiled and edited by ESSA Technologies, Vancouver, British Columbia, Canada. BPA web site: http://www.efw.bpa.gov/Environment/PATH/reports/2000_M_and_E.pdf.
Petrosky, C. E. 1998. BKD extra mortality hypothesis. Submission 20 to D. R. Marmoreket al. 21 August 1998. Plan for Analyzing and Testing Hypotheses (PATH): Weight of Evidence Report. Compiled and edited by ESSA Technologies, Vancouver, British Columbia, Canada. BPA web site: http://www.efw.bpa.gov/Environment/PATH/reports/ISRP1999CD/PATH%20Reports/WOE_Report/.
Petrosky, C. E., and H. A. Schaller. 1996. Evaluation of productivity and survival rate trends in the freshwater spawning and rearing life stage for Snake River spring and summer chinook. Chapter 9 in D. R. Marmorek et al. 1996. Plan for Analyzing and Testing Hypotheses (PATH): Final report on retrospective analyses for fiscal year 1996. Compiled and edited by ESSA Technologies, Vancouver, British Columbia, Canada. BPA web site: http://www.efw.bpa.gov/Environment/PATH/reports/ISRP1999CD/PATH%20Reports/FY96_Retro_Report/.
Petrosky, C. E., H. A. Schaller, and P. Budy. 2001. Productivity and survival rate trends in the freshwater spawning and rearing stage of Snake River chinook salmon (Oncorhynchus tshawytscha). Canadian Journal of Fisheries and Aquatic Science 58:1196-1207.
Schaller, H. A., C. E. Petrosky, and O. P. Langness. 1999. Contrasting patterns of productivity and survival rates for stream-type chinook salmon (Oncorhynchus tshawytscha) populations of the Snake and Columbia rivers. Canadian Journal of Fisheries and Aquatic Sciences 56:1031-1045.
Toole, C., A. Giorgi, E. Weber, and W. E. McConnaha. 1996. Hydro decision pathway and review of existing information. Chapter 6 in D. R. Marmorek et al. 1996. Plan for Analyzing and Testing Hypotheses (PATH): Final report on retrospective analyses for fiscal year 1996. Compiled and edited by ESSA Technologies, Vancouver, British Columbia, Canada. BPA web site: http://www.efw.bpa.gov/Environment/PATH/reports/ISRP1999CD/PATH%20Reports/FY96_Retro_Report/.
Walters, C. 1997. Challenges in adaptive management of riparian and coastal ecosystems. Conservation Ecology 1(2):1. [online] URL: http://www.consecol.org/Journal/vol1/iss2/art1.
Walters, C. 1994. Use of gaming procedures in evaluation of management experiments. Canadian Journal of Fisheries and Aquatic Sciences 51:2705-2714.
Wilson, P. 1996. Hatchery impacts. Chapter 11 in D. R. Marmorek et al. 1996. Plan for Analyzing and Testing Hypotheses (PATH): Final report on retrospective analyses for fiscal year 1996. Compiled and edited by ESSA Technologies, Vancouver, British Columbia, Canada. BPA web site http://www.efw.bpa.gov/Environment/PATH/reports/ISRP1999CD/PATH%20Reports/FY96_Retro_Report/.
Williams, J., G. Matthews, J. Myers, S. G. Smith, T. Cooney, and C. Toole. 1998. Hatchery extra mortality hypothesis. Submission 1 to D. R. Marmorek and 28 co-authors. 21 August 1998. Plan for Analyzing and Testing Hypotheses (PATH): Weight of Evidence Report. Compiled and edited by ESSA Technologies, Vancouver, British Columbia, Canada. BPA web site: http://www.efw.bpa.gov/Environment/PATH/reports/ISRP1999CD/PATH%20Reports/WOE_Report/.
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