Stock and Recruitment: Generalizations About Maximum Reproductive Rate, Density Dependence, and Variability Using Meta-Analytic Approaches
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Energy Flow Through Marine Ecosystems: Confronting Transfer Efficiency
TREE 2756 No. of Pages 11 Trends in Ecology & Evolution Review Energy Flow Through Marine Ecosystems: Confronting Transfer Efficiency Tyler D. Eddy ,1,2,*,@ Joey R. Bernhardt ,3,4,5,@ Julia L. Blanchard,6,7 William W.L. Cheung,3 Mathieu Colléter,8 Hubert du Pontavice ,3,9 Elizabeth A. Fulton,6,10 Didier Gascuel ,9,@ Kelly A. Kearney ,11 Colleen M. Petrik ,12 Tilla Roy,13,14 Ryan R. Rykaczewski ,1,15 Rebecca Selden,16 Charles A. Stock ,17 Colette C.C. Wabnitz ,3,18,19 and Reg A. Watson 6,7 Transfer efficiency is the proportion of energy passed between nodes in food webs. Highlights It is an emergent, unitless property that is difficult to measure, and responds Transfer efficiency is a key parameter de- dynamically to environmental and ecosystem changes. Because the consequences scribing ecosystem structure and func- of changes in transfer efficiency compound through ecosystems, slight variations tion and is used to estimate fisheries production; however, it is also one of can have large effects on food availability for top predators. Here, we review the the most uncertain parameters. processes controlling transfer efficiency, approaches to estimate it, and known variations across ocean biomes. Both process-level analysis and observed macro- Questions remain about how habitats, fi scale variations suggest that ecosystem-scale transfer efficiency is highly variable, food resources, shing pressure, spatio- fi temporal scales, as well as temperature, impacted by shing, and will decline with climate change. It is important that we primary production, and other climate more fully resolve the processes controlling transfer efficiency in models to drivers impact transfer efficiency. -
Ecoevoapps: Interactive Apps for Teaching Theoretical Models In
bioRxiv preprint doi: https://doi.org/10.1101/2021.06.18.449026; this version posted June 19, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 Last rendered: 18 Jun 2021 2 Running head: EcoEvoApps 3 EcoEvoApps: Interactive Apps for Teaching Theoretical 4 Models in Ecology and Evolutionary Biology 5 Preprint for bioRxiv 6 Keywords: active learning, pedagogy, mathematical modeling, R package, shiny apps 7 Word count: 4959 words in the Main Body; 148 words in the Abstract 8 Supplementary materials: Supplemental PDF with 7 components (S1-S7) 1∗ 1∗ 2∗ 1 9 Authors: Rosa M. McGuire , Kenji T. Hayashi , Xinyi Yan , Madeline C. Cowen , Marcel C. 1 3 3,4 10 Vaz , Lauren L. Sullivan , Gaurav S. Kandlikar 1 11 Department of Ecology and Evolutionary Biology, University of California, Los Angeles 2 12 Department of Integrative Biology, University of Texas at Austin 3 13 Division of Biological Sciences, University of Missouri, Columbia 4 14 Division of Plant Sciences, University of Missouri, Columbia ∗ 15 These authors contributed equally to the writing of the manuscript, and author order was 16 decided with a random number generator. 17 Authors for correspondence: 18 Rosa M. McGuire: [email protected] 19 Kenji T. Hayashi: [email protected] 20 Xinyi Yan: [email protected] 21 Gaurav S. Kandlikar: [email protected] 22 Coauthor contact information: 23 Madeline C. Cowen: [email protected] 24 Marcel C. -
Fisheries Managementmanagement
ISSN 1020-5292 FAO TECHNICAL GUIDELINES FOR RESPONSIBLE FISHERIES 4 Suppl. 2 Add.1 FISHERIESFISHERIES MANAGEMENTMANAGEMENT These guidelines were produced as an addition to the FAO Technical Guidelines for 2. The ecosystem approach to fisheries Responsible Fisheries No. 4, Suppl. 2 entitled Fisheries management. The ecosystem approach to fisheries (EAF). Applying EAF in management requires the application of 2.1 Best practices in ecosystem modelling scientific methods and tools that go beyond the single-species approaches that have been the main sources of scientific advice. These guidelines have been developed to forfor informinginforming anan ecosystemecosystem approachapproach toto fisheriesfisheries assist users in the construction and application of ecosystem models for informing an EAF. It addresses all steps of the modelling process, encompassing scoping and specifying the model, implementation, evaluation and advice on how to present and use the outputs. The overall goal of the guidelines is to assist in ensuring that the best possible information and advice is generated from ecosystem models and used wisely in management. ISBN 978-92-5-105995-1 ISSN 1020-5292 9 7 8 9 2 5 1 0 5 9 9 5 1 TC/M/I0151E/1/05.08/1630 Cover illustration: Designed by Elda Longo. FAO TECHNICAL GUIDELINES FOR RESPONSIBLE FISHERIES 4 Suppl. 2 Add 1 FISHERIES MANAGEMENT 2.2. TheThe ecosystemecosystem approachapproach toto fisheriesfisheries 2.12.1 BestBest practicespractices inin ecosystemecosystem modellingmodelling forfor informinginforming anan ecosystemecosystem approachapproach toto fisheriesfisheries FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS Rome, 2008 The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO) concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. -
The New Talent Landscape: Recruiting Difficulty and Skills Shortages (SHRM, 2016)
THE NEW TALENT LANDSCAPE RECRUITING DIFFICULTY AND SKILLS SHORTAGES THE NEW TALENT LANDSCAPE Recruiting Difficulty and Skills Shortages A RESEARCH REPORT BY THE SOCIETY FOR HUMAN RESOURCE MANAGEMENT Media Contact USA Kate Kennedy SHRM Headquarters Phone: + 1.703.535.6260 Alexandria, VA 22314 The Society for Human Resource Management E-mail: [email protected] Phone +1.800.283.7476 (SHRM) is the world’s largest HR professional society, E-mail [email protected] representing 285,000 members in more than 165 Vanessa Hill countries. For nearly seven decades, the Society Phone: +1.703.535.6072 China has been the leading provider of resources serving E-mail: [email protected] Gateway Plaza the needs of HR professionals and advancing the Chaoyang District Online practice of human resource management. SHRM Beijing, 100027 SHRM Online: shrm.org has more than 575 affiliated chapters within the Phone +86.10.59231033 United States and subsidiary offices in China, India SHRM Research & Surveys: shrm.org/research E-mail [email protected] and United Arab Emirates. Visit us at shrm.org. SHRM Research on Twitter: @SHRM_Research India SHRM Research on LinkedIn: LinkedIn.com Gurgaon, Sector 26 SHRM Research on SHRM Connect: Haryana 122002 community.shrm.org Phone +91.12.44200243 E-mail [email protected] United Arab Emirates Dubai Knowledge Village Dubai, UAE Phone +971.050.104.6330 E-mail [email protected] 16-0156 To order printed copies of this report, visit shrmstore.shrm.org or call 1-800-444-5006. 2 About This Research Report 5 Executive Summary -
Life History Strategies, Population Regulation, and Implications for Fisheries Management1
872 PERSPECTIVE / PERSPECTIVE Life history strategies, population regulation, and implications for fisheries management1 Kirk O. Winemiller Abstract: Life history theories attempt to explain the evolution of organism traits as adaptations to environmental vari- ation. A model involving three primary life history strategies (endpoints on a triangular surface) describes general pat- terns of variation more comprehensively than schemes that examine single traits or merely contrast fast versus slow life histories. It provides a general means to predict a priori the types of populations with high or low demographic resil- ience, production potential, and conformity to density-dependent regulation. Periodic (long-lived, high fecundity, high recruitment variation) and opportunistic (small, short-lived, high reproductive effort, high demographic resilience) strat- egies should conform poorly to models that assume density-dependent recruitment. Periodic-type species reveal greatest recruitment variation and compensatory reserve, but with poor conformity to stock–recruitment models. Equilibrium- type populations (low fecundity, large egg size, parental care) should conform better to assumptions of density- dependent recruitment, but have lower demographic resilience. The model’s predictions are explored relative to sustain- able harvest, endangered species conservation, supplemental stocking, and transferability of ecological indices. When detailed information is lacking, species ordination according to the triangular model provides qualitative -
Optimal Control of a Fishery Utilizing Compensation and Critical Depensation Models
Appl. Math. Inf. Sci. 14, No. 3, 467-479 (2020) 467 Applied Mathematics & Information Sciences An International Journal http://dx.doi.org/10.18576/amis/140314 Optimal Control of a Fishery Utilizing Compensation and Critical Depensation Models Mahmud Ibrahim Department of Mathematics, University of Cape Coast, Cape Coast, Ghana Received: 12 Dec. 2019, Revised: 2 Jan. 2020, Accepted: 15 Feb. 2020 Published online: 1 May 2020 Abstract: This study proposes optimal control problems with two different biological dynamics: a compensation model and a critical depensation model. The static equilibrium reference points of the models are defined and discussed. Also, bifurcation analyses on the models show the existence of transcritical and saddle-node bifurcations for the compensation and critical depensation models respectively. Pontyagin’s maximum principle is employed to determine the necessary conditions of the model. In addition, sufficiency conditions that guarantee the existence and uniqueness of the optimality system are defined. The characterization of the optimal control gives rise to both the boundary and interior solutions, with the former indicating that the resource should be harvested if and only if the value of the net revenue per unit harvest (due to the application of up to the maximum fishing effort) is at least the value of the shadow price of fish stock. Numerical simulations with empirical data on the sardinella are carried out to validate the theoretical results. Keywords: Optimal control, Compensation, Critical depensation, Bifurcation, Shadow price, Ghana sardinella fishery 1 Introduction harvesting of either species. The study showed that, with harvesting effort serving as a control, the system could be steered towards a desirable state, and so breaking its Fish stocks across the world are increasingly under cyclic behavior. -
Recruitment, Dispersal, and Demographic Rescue in Spatially-Structured White-Tailed Ptarmigan Populations ’
The Condor 102:503-516 D The Cooper Ornithological Society Zoo0 RECRUITMENT, DISPERSAL, AND DEMOGRAPHIC RESCUE IN SPATIALLY-STRUCTURED WHITE-TAILED PTARMIGAN POPULATIONS ’ KATHY MARTIN Canadian Wildlife Service, 5421 Robertson Rd, RR I Delta, British Columbia, Canada, V4K 3N2, and Department of Forest Sciences, 2424 Main Mall, University of British Columbia, Vancouver, British Columbia, Canada, V6T 124, e-mail: [email protected] PETER B. STACEY Department of Biology, University of New Mexico, Albuquerque, NM 87131, e-mail: [email protected] CLAIT E. BRAUN* Colorado Division of Wildlife, 317 West Prospect Rd., Fort Collins, CO 80526, e-mail: [email protected] Abstract. We studiedrecruitment and dispersalof White-tailed Ptarmigan (Lagopus leu- curus) breeding in naturally fragmented alpine habitatsat four study sites in Colorado from 1987-1998. Almost all recruitment for both sexes, particularly females, was of birds pro- duced outside local populationsand also external to nearby studiedpopulations. Populations were more dependent on female recruitment than on male recruitment to sustainthem, and patterns of recruitment were not correlated with local survival of adults or production of young the previous year, except at one site for females. Over 95% of recruitswere yearlings. Breeding dispersal of adults, an infrequent but regular event, was also important to inter- population connectivity. Our data for multiple populationsallowed us to describemovement patterns among populations to assess consistency with conditions required for a -
Talent Acquisition Technology Ecosystem
Global Staffing and Recruitment Technology Talent Acquisition Technology Ecosystem February 15, 2018 | David Francis, Research Manager | [email protected] Talent Acquisition Technology Ecosystem | February 15, 2017 Contents Talent Acquisition Technology Ecosystem ........................................................................................................................................................... 2 Overview of an Ecosystem .................................................................................................................................................................................... 3 Systems of Record ................................................................................................................................................................................................ 8 Candidate Discovery ........................................................................................................................................................................................... 10 Candidate Assessment ........................................................................................................................................................................................ 14 Candidate Engagement ....................................................................................................................................................................................... 15 Candidate Verification ....................................................................................................................................................................................... -
Depensation: Evidence, Models and Implications
Paper 29 Disc FISH and FISHERIES, 2001, 2, 33±58 Depensation: evidence, models and implications Martin Liermann1 & Ray Hilborn2 1Quantitative Ecology and Resource Management, University of Washington, Seattle, WA 98115, USA; 2School of Fisheries Box 355020, University of Washington, Seattle, WA 98195, USA Abstract Correspondence: We review the evidence supporting depensation, describe models of two depensatory Martin Liermann, National Marine mechanisms and how they can be included in population dynamics models and Fisheries Service, discuss the implications of depensation. The evidence for depensation can be grouped North-west Fisheries into four mechanisms: reduced probability of fertilisation, impaired group dynamics, Science Center, 2725 Ahed conditioning of the environment and predator saturation. Examples of these Montlake Blvd. E., Bhed mechanisms come from a broad range of species including fishes, arthropods, birds, Seattle, WA 98112± Ched 2013, USA mammals and plants. Despite the large number of studies supporting depensatory Dhed Tel: +206 860 6781 mechanisms, there is very little evidence of depensation that is strong enough to be Fax: +206 860 3335 Ref marker important in a population's dynamics. However, because factors such as E-mail: martin. Fig marker demographic and environmental variability make depensatory population dynamics [email protected] Table marker difficult to detect, this lack of evidence should not be interpreted as evidence that Ref end depensatory dynamics are rare and unimportant. The majority of depensatory models Ref start Received 22 Sep 2000 are based on reduced probability of fertilisation and predator saturation. We review Accepted 29Nov 2000 the models of these mechanisms and different ways they can be incorporated in population dynamics models. -
Recruitment of Marine Invertebrates: the Role of Active Larval Choices and Early Mortality
Oecologia (Berl) (1982) 54:348-352 Oer Springer-Verlag 1982 Recruitment of Marine Invertebrates: the Role of Active Larval Choices and Early Mortality Michael J. Keough and Barbara J. Downes Department of Biological Sciences, University of California, Santa Barbara, Ca 93106, USA Summary. Spatial variation in the recruitment of sessile a reflection of the limitations of the observer. The number marine invertebrates with planktonic larvae may be derived of organisms passing through the fourth phase is termed from a number of sources: events within the plankton, recruitment, while the number passing to the third phase choices made by larvae at the time of settlement, and mor- is termed settlement. Recruitment is a composite of larval tality of juvenile organisms after settlement, but before a and juvenile stages, while settlement involves only larval census by an observer. These sources usually are not distin- stages. guished. It is important to distinguish between settlement and A study of the recruitment of four species of sessile recruitment. Non-random patterns of recruitment, such as invertebrates living on rock walls beneath a kelp canopy differences in the density of recruitment with height on the showed that both selection of microhabitats by settling shore (Underwood 1979) or differences in the density of larvae and predation by fish may be important. Two micro- recruitment with patch size (Jackson 1977; Keough 1982a), habitats were of interest; open, flat rock surfaces, and small or with microhabitat, may have two causes: (1) differential pits and crevices that act as refuges from fish predators. settlement, and (2), different probabilities of early mortality The polychaete Spirorbis eximus and the cyclostome in different parts of an organism's habitat. -
CHAPTER 5 Ecopath with Ecosim: Linking Fisheries and Ecology
CHAPTER 5 Ecopath with Ecosim: linking fi sheries and ecology V. Christensen Fisheries Centre, University of British Columbia, Canada. 1 Why ecosystem modeling in fi sheries? Fifty years ago, fi sheries science emerged as a quantitative discipline with the publication of Ray Beverton and Sidney Holt’s [1] seminal volume On the Dynamics of Exploited Fish Populations. This book provided the foundation for how to manage fi sheries and was based on detailed, mathe- matical analyses of the dynamics of individual fi sh populations, of how they grow and how they are affected by fi shing. Fisheries science has developed and matured since then, and remarkably much of what has been achieved are modifi cations and further developments of what Beverton and Holt introduced. Given then that fi sheries science has developed to become one of the most data-rich, quantita- tive fi elds in ecology [2], how well has it fared? We often see fi sheries issues in the headlines and usually in a negative context and there are indeed many threats to the sustainability of ocean resources [3]. Many, judging not the least from newspaper headlines, consider fi sheries manage- ment a usual suspect in connection with fi sheries collapses. This may lead one to suspect that there is a problem with the science, but I hold this to be an erroneous conclusion. It should be stressed that the main problem is not to be found in the computational aspects of the science, but rather in how management advice actually is implemented in praxis [4]. The major force in fi sh- eries throughout the world is excessive fi shing capacity; the days with unexploited resources and untapped oceans are over [5], and the fi shing industry is now relying heavily on subsidies to keep the machinery going [6]. -
Fisheries Restoration Potential for a Large Lake Ecosystem: Using Ecosystem Models to Examine Dynamic Relationships Between Walleye, Cormorant, and Perch
Copyright © 2015 by the author(s). Published here under license by the Resilience Alliance. McGregor, A. M., C. L. Davis, C. J. Walters, and L. Foote. 2015. Fisheries restoration potential for a large lake ecosystem: using ecosystem models to examine dynamic relationships between walleye, cormorant, and perch. Ecology and Society 20(2): 29. http://dx. doi.org/10.5751/ES-07350-200229 Research Fisheries restoration potential for a large lake ecosystem: using ecosystem models to examine dynamic relationships between walleye, cormorant, and perch Andrea M. McGregor 1,2, Christopher L. Davis 3, Carl J. Walters 4 and Lee Foote 1 ABSTRACT. Increased population sizes of Double-crested Cormorants (Phalacrocorax auritus) and small-bodied (<15 cm total length) yellow perch (Perca flavescens) have occurred at Lac la Biche, Alberta, Canada, since fisheries collapsed the walleye (Sander vitreus) population. A walleye restoration program was introduced in 2005, but uncertainty around the ecosystem’s response to management made it difficult to evaluate program success. This study used 40 variations of Ecopath with Ecosim models representing ecosystem conditions over 200 years to test the potential for multiple attractors, i.e., possible ecosytem states, in a large lake ecosystem. Results suggest that alternate stable states, defined by walleye-dominated and cormorant-dominated equilibriums, existed in historical models (1800, 1900), whereas contemporary models (1965, 2005) had a single cormorant-dominated attractor. Alternate stable states were triggered by smaller perturbations in 1900 than in 1800, and model responses were more intense in 1900, suggesting a decline in system resilience between model periods. Total prey biomass consumed by walleye was up to four times greater than the biomass consumed by cormorants in historical models, but dropped to 10% of cormorant consumption in 2005 models.