Supplemental information for poster presented by Caren Barcel\u00f3 at the 2020 Ocean Sciences Meeting in San Diego, CA<\/p>\n\n\n\n
Link to poster<\/a><\/p>\n\n\n\n Summary<\/strong><\/p>\n\n\n\n We use age-structured population models to understand how fished populations respond to environmental variability. In general, fished populations exhibit greater variability than unfished populations, for two reasons: a) they are less dampened by density-dependent processes, and b) reproduction is concentrated into fewer ages, making it more likely that random events will ‘echo’ across generations. In this poster we share some preliminary analyses examining how no-take marine protected areas (MPAs) could reduce that variability by protecting part of the population from harvest. This is a potential example of how MPAs could provide resilience<\/em><\/strong> to environmental variability and climate change.<\/p>\n\n\n\n Follow us on Twitter!<\/strong> @barcelo_caren<\/a> @kj_nickols<\/a> @j_wilson_white<\/a><\/p>\n\n\n\n Related papers<\/strong><\/p>\n\n\n\n Botsford LW, White JW<\/strong>, Hastings A. 2019. Population Dynamics for Conservation<\/em><\/a>. Oxford University Press, Oxford, UK.<\/p>\n\n\n\n Nickols KJ, White JW, Malone D, Carr MH, Starr RM, Baskett ML, Hastings A, Botsford LW. 2019<\/a>. Setting expectations for adaptive management of marine protected areas. Journal of Applied Ecology\u00a0<\/em>56: 2376-2385<\/p>\n\n\n\n Botsford LW, Holland MD, Field JC, Hastings A. 2014<\/a>. Cohort resonance: a significant component of fluctuations in recruitment, egg production, and catch of fished populations. ICES Journal of Marine Science<\/em> 71: 2158-2170<\/p>\n\n\n\n Kaplan KA, Yamane L, Botsford LW, Baskett ML, Hastings A, Worden S, White JW. 2019.<\/a> Setting expected timelines of fished population recovery for the adaptive management of a marine protected area network. Ecological Applications <\/em>29: e01949<\/p>\n\n\n\n White JW, Nickols KJ, Malone D, Carr MH, Starr RM, Cordoleani F, Baskett ML, Hastings A, Botsford LW. 2016<\/a>. Methods for fitting state-space integral projection models to size-structured time series data to estimate unknown parameters. Ecological Applications<\/em> 26: 2675-2692<\/p>\n\n\n\n Carr MH, White JW, Saarman EM, Lubchenco J, Milligan K, Caselle JE. 2019<\/a>. Marine Protected Areas exemplify the evolution of science and policy. Oceanography<\/em> 32:94-103. Special Issue on PISCO: Partnership for Interdisciplinary Study of Coastal Oceans<\/a><\/p>\n\n\n\n Easter EE, Adreani MS, Hamilton SL, Steele MS, Pang S, White JW. 2020.<\/a> Influence of protogynous sex change on recovery of fish populations within marine protected areas. Ecological Applications<\/em>, in press. DOI 10.1002\/eap.2070<\/p>\n\n\n\n Botsford LW, White JW, Carr MH, Caselle JE. 2014<\/a>. Marine protected areas in California, USA. In: Advances in Marine Biology: Marine Managed Areas and Fisheries<\/em>, vol. 69. (Johnson ML and Sandell J, eds.). Elsevier, Oxford, UK, pp 203-249<\/p>\n\n\n\n White JW, Botsford LW, Hastings A, Baskett ML, Kaplan DM, Barnett LAK. 2013<\/a>. Transient responses of fished populations to marine reserve establishment. Conservation Letters<\/em> 6: 180-191<\/p>\n\n\n\n <\/p>\n","protected":false},"excerpt":{"rendered":" Supplemental information for poster presented by Caren Barcel\u00f3 at the 2020 Ocean Sciences Meeting in San Diego, CA Link to poster Summary We use age-structured population models to understand how fished populations respond to environmental variability. In general, fished populations exhibit greater variability than unfished populations, for two reasons: a) they are less dampened by… Continue reading