Roland Pitcher
Commonwealth Scientific and Industrial Research Organisation
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Publication
Featured researches published by Roland Pitcher.
PLOS ONE | 2011
Camille Mellin; Steve Delean; Julian Caley; Graham J. Edgar; Mark G. Meekan; Roland Pitcher; Rachel Przeslawski; Alan Williams
The use of biological surrogates as proxies for biodiversity patterns is gaining popularity, particularly in marine systems where field surveys can be expensive and species richness high. Yet, uncertainty regarding their applicability remains because of inconsistency of definitions, a lack of standard methods for estimating effectiveness, and variable spatial scales considered. We present a Bayesian meta-analysis of the effectiveness of biological surrogates in marine ecosystems. Surrogate effectiveness was defined both as the proportion of surrogacy tests where predictions based on surrogates were better than random (i.e., low probability of making a Type I error; P) and as the predictability of targets using surrogates (R 2). A total of 264 published surrogacy tests combined with prior probabilities elicited from eight international experts demonstrated that the habitat, spatial scale, type of surrogate and statistical method used all influenced surrogate effectiveness, at least according to either P or R 2. The type of surrogate used (higher-taxa, cross-taxa or subset taxa) was the best predictor of P, with the higher-taxa surrogates outperforming all others. The marine habitat was the best predictor of R 2, with particularly low predictability in tropical reefs. Surrogate effectiveness was greatest for higher-taxa surrogates at a <10-km spatial scale, in low-complexity marine habitats such as soft bottoms, and using multivariate-based methods. Comparisons with terrestrial studies in terms of the methods used to study surrogates revealed that marine applications still ignore some problems with several widely used statistical approaches to surrogacy. Our study provides a benchmark for the reliable use of biological surrogates in marine ecosystems, and highlights directions for future development of biological surrogates in predicting biodiversity.
PLOS ONE | 2011
Sara L. Ellis; Lewis S. Incze; Peter Lawton; Henn Ojaveer; Brian R. MacKenzie; Roland Pitcher; Thomas C. Shirley; Margit Eero; John W. Tunnell; Peter Doherty; Brad M. Zeller
We compare objectives and approaches of four regional studies of marine biodiversity: Gulf of Maine Area Census of Marine Life, Baltic Sea History of Marine Animal Populations, Great Barrier Reef Seabed Biodiversity Project, and Gulf of Mexico Biodiversity Project. Each program was designed as an “ecosystem” scale but was created independently and executed differently. Each lasted 8 to 10 years, including several years to refine program objectives, raise funding, and develop research networks. All resulted in improved baseline data and in new, or revised, data systems. Each contributed to the creation or evolution of interdisciplinary teams, and to regional, national, or international science-management linkages. To date, there have been differing extents of delivery and use of scientific information to and by management, with greatest integration by the program designed around specific management questions. We evaluate each research programs relative emphasis on three principal elements of biodiversity organization: composition, structure, and function. This approach is used to analyze existing ecosystem-wide biodiversity knowledge and to assess what is known and where gaps exist. In all four of these systems and studies, there is a relative paucity of investigation on functional elements of biodiversity, when compared with compositional and structural elements. This is symptomatic of the current state of the science. Substantial investment in understanding one or more biodiversity element(s) will allow issues to be addressed in a timely and more integrative fashion. Evaluating research needs and possible approaches across specific elements of biodiversity organization can facilitate planning of future studies and lead to more effective communication between scientists, managers, and stakeholders. Building a general approach that captures how various studies have focused on different biodiversity elements can also contribute to meta-analyses of worldwide experience in scientific research to support ecosystem-based management.
Environmental Evidence | 2014
Kathryn M. Hughes; Michel J. Kaiser; Simon Jennings; Robert A. McConnaughey; Roland Pitcher; Ray Hilborn; Ricardo O. Amoroso; Jeremy S. Collie; Jan Geert Hiddink; Ana M. Parma; Adriaan D. Rijnsdorp
BackgroundMobile bottom fishing, such as trawling and dredging, is the most widespread direct human impact on marine benthic systems. Knowledge of the impacts of different gear types on different habitats, the species most sensitive to impacts and the potential for habitats to recover are often needed to inform implementation of an ecosystem approach to fisheries and strategies for biodiversity conservation. This knowledge helps to identify management options that maximise fisheries yield whilst minimising negative impacts on benthic systems.Methods/designThe methods are designed to identify and collate evidence from experimental studies (e.g. before/after, control/impact) and comparative studies (spanning a gradient of fishing intensity) to identify changes in state (numbers, biomass, diversity etc.) of benthic biota (flora and fauna), resulting from a variety of mobile bottom fishing scenarios. The primary research question that the outputs will be used to address is: “to what extent does a given intensity of bottom fishing affect the abundance and/or diversity of benthic biota?” Due to the variety of gear and habitat types studied, the primary question will be closely linked with secondary questions. These include: “how does the effect of bottom fishing on various benthic biota metrics (species, faunal type, trait, taxon etc.) vary with (1) gear type and (2) habitat, and (3) gear type-habitat interactions?” and (4) “how might properties of the community and environment affect the resilience (and recovery potential) of a community to bottom fishing?”
Journal of Applied Ecology | 2018
Jan Geert Hiddink; Simon Jennings; Marija Sciberras; Stefan G. Bolam; Giulia Cambiè; Robert A. McConnaughey; Tessa Mazor; Ray Hilborn; Jeremy S. Collie; Roland Pitcher; Ana M. Parma; Petri Suuronen; Michel J. Kaiser; Adriaan D. Rijnsdorp
Bottom trawling is the most widespread human activity directly affecting seabed habitats. Assessment and effective management of the effects of bottom trawling at the scale of fisheries requires an understanding of differences in sensitivity of biota to trawling. Responses to disturbance are expected to depend on the intrinsic rate of increase in populations (r), which is expected to be linearly related to the reciprocal of longevity. We examine the relationship between the longevity of benthic invertebrates and their response to bottom trawling; both in terms of the immediate mortality following a trawl pass and their subsequent rates of recovery. We collate all available data from experimental and comparative trawling studies, and test how longevity influences these aspects of sensitivity. The shortest lived organisms ( 1 year decreased by ~9% immediately following a trawl pass. The effect of bottom trawling in comparative studies increased with longevity, with a 2–3× larger effect on biota living >10 years than on biota living 1–3 years. We attribute this difference to the slower recovery rates of the long-lived biota. The observed relationship between the intrinsic rate of population increase (r, our metric of recovery rate) and the reciprocal of longevity matches theoretical expectation and predicts that the sensitivity of habitats to bottom trawling is higher in habitats with higher proportions of long-lived organisms. Synthesis and applications. Where the longevity of a species or the longevity distribution of a community is known or can be inferred, our estimates of depletion and intrinsic rate of increase can be combined with high-resolution maps of trawling intensity to assess trawling impacts at the scale of the fishery or other defined unit of assessment. Our estimates of r may also be used to estimate recovery times following other forms of seabed disturbance.
Fisheries Research | 2011
Alistair J. Hobday; Anthony D.M. Smith; I.C. Stobutzki; C Bulman; Ross K. Daley; J.M. Dambacher; Roy Deng; J Dowdney; Mike Fuller; D. Furlani; Shane P. Griffiths; D. Johnson; Rob Kenyon; Ian Knuckey; Sd Ling; Roland Pitcher; Keith Sainsbury; M Sporcic; T. Smith; C. Turnbull; T.I. Walker; Sally E. Wayte; H. Webb; Alan Williams; B.S. Wise; Shijie Zhou
Archive | 2007
Roland Pitcher; Peter Doherty; Peter Arnold; John N. A. Hooper; Neil Gribble; Susan Chalmers; Rob Coles; Barry Ehrke; Norm Good; Sarah Kistle
Journal of the Marine Biological Association of the United Kingdom | 2010
Svea-Mara Wolkenhauer; Sven Uthicke; Charis Y. Burridge; Timothy Skewes; Roland Pitcher
Philosophical Transactions of the Royal Society B | 2015
Elizabeth A. Fulton; Nicholas J. Bax; Rodrigo H. Bustamante; Jeffrey M. Dambacher; Catherine M. Dichmont; Piers K. Dunstan; Keith R. Hayes; Alistair J. Hobday; Roland Pitcher; Éva E. Plagányi; André E. Punt; Marie Savina-Rolland; Anthony D.M. Smith; David C. Smith
Archive | 2015
Britta Schaffelke; S C Apte; Richard Brinkman; Jon Brodie; P.L.A. Erftemeijer; Bradley Eyre; F Hoogerwerf; I Irvine; Rhondda E. Jones; B King; Helene Marsh; Ray Masini; Richard Morton; Roland Pitcher; Michael Rasheed; Marcus Sheaves; A Symonds; M St.J Warne
Fish and Fisheries | 2016
Michel J. Kaiser; Ray Hilborn; Simon Jennings; Ricky Amaroso; Michael Andersen; Kris Balliet; Eric Barratt; Odd A Bergstad; Stephen Bishop; Jodi L Bostrom; Catherine Boyd; Eduardo A Bruce; Merrick Burden; Chris Carey; Jason Clermont; Jeremy S. Collie; Antony Delahunty; Jacqui Dixon; Steve Eayrs; Nigel Edwards; Rod Fujita; John Gauvin; Mary Gleason; Brad Harris; Pingguo He; Jan Geert Hiddink; Kathryn M. Hughes; Mario Inostroza; Andrew Kenny; Jake Kritzer
Collaboration
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