Literature DB >> 20715624

Resource distribution influences positive edge effects in a seagrass fish.

Peter I Macreadie1, Jeremy S Hindell, Michael J Keough, Gregory P Jenkins, Rod M Connolly.   

Abstract

According to conceptual models, the distribution of resources plays a critical role in determining how organisms distribute themselves near habitat edges. These models are frequently used to achieve a mechanistic understanding of edge effects, but because they are based predominantly on correlative studies, there is need for a demonstration of causality, which is best done through experimentation. Using artificial seagrass habitat as an experimental system, we determined a likely mechanism underpinning edge effects in a seagrass fish. To test for edge effects, we measured fish abundance at edges (0-0.5 m) and interiors (0.5-1 m) of two patch configurations: continuous (single, continuous 9-m2 patches) and patchy (four discrete 1-m2 patches within a 9-m2 area). In continuous configurations, pipefish (Stigmatopora argus) were three times more abundant at edges than interiors (positive edge effect), but in patchy configurations there was no difference. The lack of edge effect in patchy configurations might be because patchy seagrass consisted entirely of edge habitat. We then used two approaches to test whether observed edge effects in continuous configurations were caused by increased availability of food at edges. First, we estimated the abundance of the major prey of pipefish, small crustaceans, across continuous seagrass configurations. Crustacean abundances were highest at seagrass edges, where they were 16% greater than in patch interiors. Second, we supplemented interiors of continuous treatment patches with live crustaceans, while control patches were supplemented with seawater. After five hours of supplementation, numbers of pipefish were similar between edges and interiors of treatment patches, while the strong edge effects were maintained in controls. This indicated that fish were moving from patch edges to interiors in response to food supplementation. These approaches strongly suggest that a numerically dominant fish species is more abundant at seagrass edges due to greater food availability, and provide experimental support for the resource distribution model as an explanation for edge effects.

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Year:  2010        PMID: 20715624     DOI: 10.1890/08-1890.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  5 in total

1.  Trophic cascades on the edge: fostering seagrass resilience via a novel pathway.

Authors:  Brent B Hughes; Kamille K Hammerstrom; Nora E Grant; Umi Hoshijima; Ron Eby; Kerstin Wasson
Journal:  Oecologia       Date:  2016-05-11       Impact factor: 3.225

2.  Resilience of Zostera muelleri seagrass to small-scale disturbances: the relative importance of asexual versus sexual recovery.

Authors:  Peter I Macreadie; Paul H York; Craig Dh Sherman
Journal:  Ecol Evol       Date:  2014-01-21       Impact factor: 2.912

3.  Macrofaunal responses to edges are independent of habitat-heterogeneity in experimental landscapes.

Authors:  Miguel G Matias; Ross A Coleman; Dieter F Hochuli; Antony J Underwood
Journal:  PLoS One       Date:  2013-04-08       Impact factor: 3.240

4.  Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism, and ecosystem carbon fluxes.

Authors:  Silvia Mazzuca; M Björk; S Beer; P Felisberto; S Gobert; G Procaccini; J Runcie; J Silva; A V Borges; C Brunet; P Buapet; W Champenois; M M Costa; D D'Esposito; M Gullström; P Lejeune; G Lepoint; I Olivé; L M Rasmusson; J Richir; M Ruocco; I A Serra; A Spadafora; Rui Santos
Journal:  Front Plant Sci       Date:  2013-03-19       Impact factor: 5.753

5.  Interactions between seagrass complexity, hydrodynamic flow and biomixing alter food availability for associated filter-feeding organisms.

Authors:  Vanessa González-Ortiz; Luis G Egea; Rocio Jiménez-Ramos; Francisco Moreno-Marín; José L Pérez-Lloréns; Tjeed J Bouma; Fernando G Brun
Journal:  PLoS One       Date:  2014-08-27       Impact factor: 3.240

  5 in total

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