Journal article
Metrics to assess ecological condition, change, and impacts in sandy beach ecosystems
Journal of Environmental Management, Vol.144, pp.322-335
2014
Abstract
Complexity is increasingly the hallmark in environmental management practices of sandy shorelines. This arises primarily from meeting growing public demands (e.g., real estate, recreation) whilst reconciling economic demands with expectations of coastal users who have modern conservation ethics. Ideally, shoreline management is underpinned by empirical data, but selecting ecologically-meaningful metrics to accurately measure the condition of systems, and the ecological effects of human activities, is a complex task. Here we construct a framework for metric selection, considering six categories of issues that authorities commonly address: erosion; habitat loss; recreation; fishing; pollution (litter and chemical contaminants); and wildlife conservation. Possible metrics were scored in terms of their ability to reflect environmental change, and against criteria that are widely used for judging the performance of ecological indicators (i.e., sensitivity, practicability, costs, and public appeal). From this analysis, four types of broadly applicable metrics that also performed very well against the indicator criteria emerged: 1.) traits of bird populations and assemblages (e.g., abundance, diversity, distributions, habitat use); 2.) breeding/reproductive performance sensu lato (especially relevant for birds and turtles nesting on beaches and in dunes, but equally applicable to invertebrates and plants); 3.) population parameters and distributions of vertebrates associated primarily with dunes and the supralittoral beach zone (traditionally focused on birds and turtles, but expandable to mammals); 4.) compound measurements of the abundance/cover/biomass of biota (plants, invertebrates, vertebrates) at both the population and assemblage level. Local constraints (i.e., the absence of birds in highly degraded urban settings or lack of dunes on bluff-backed beaches) and particular issues may require alternatives. Metrics - if selected and applied correctly - provide empirical evidence of environmental condition and change, but often do not reflect deeper environmental values per se. Yet, values remain poorly articulated for many beach systems; this calls for a comprehensive identification of environmental values and the development of targeted programs to conserve these values on sandy shorelines globally.
Details
- Title
- Metrics to assess ecological condition, change, and impacts in sandy beach ecosystems
- Authors
- Thomas Schlacher (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringDavid S Schoeman (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringAlan R Jones (Author) - Australian MuseumJenifer E Dugan (Author) - University of California, United StatesDavid M Hubbard (Author) - University of California, United StatesOmar Defeo (Author) - UNDECIMAR, UruguayCharles H Peterson (Author) - University of North Carolina, United StatesMichael A Weston (Author) - Deakin UniversityBrooke Maslo (Author) - State University of New Jersey, United StatesAndrew D Olds (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringFelicita Scapini (Author) - University of Florence, ItalyRonel Nel (Author) - Nelson Mandela Metropolitan University, South AfricaLinda R Harris (Author) - Nelson Mandela Metropolitan University, South AfricaSerena Lucrezi (Author) - North West University, South AfricaMariano Lastra (Author) - University of Vigo, SpainChantal M Huijbers (Author) - Griffith UniversityR M Connolly (Author) - Griffith University
- Publication details
- Journal of Environmental Management, Vol.144, pp.322-335
- Publisher
- Academic Press
- Date published
- 2014
- DOI
- 10.1016/j.jenvman.2014.05.036
- ISSN
- 0301-4797
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99449943602621
- Output Type
- Journal article
Metrics
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