Summary Holling (1992) has claimed that a range of mechanisms, including habitat architecture, may be responsible for discontinuities in body‐size distributions across a broad range of spatial and temporal scales. We tested this proposition in the marine benthos by manipulating habitat architecture directly. Specifically, we constructed artificial sediments (using glass beads) of uniform large or small particles, to change interstitial pore diameters at two estuarine sites. A combination of kernel estimation and smoothed bootstrap re‐sampling showed that there was a high and varaible degree of modality in body‐size (1–5 modes) in the experimental bead treatments and controls and no obvious evidence for a trough at organism size 0·5–1 mm ESD. We propose that habitat architecture may not be as intimately related to body‐size patterns as originally claimed, at least at smaller scales where experimental tests are tractable.
Abstract As baleen whales recover from severe exploitation, they are probably subject to a wide variety of threats within the Antarctic marine ecosystem, including directed take. Here we review both the management and current status of Antarctic baleen whales and consider those threats likely to impact on them. Threats range from global problems - marine pollution and climate change - to localized issues including shipping, habitat disturbance, unregulated wildlife tourism and fishery activities. We identify the most pressing anthropogenic threats to baleen whales including scientific whaling and climate change. It is unclear whether current management approaches will be able to effectively encompass all these threats while also accounting both for the differing levels of scientific understanding and for the differing recovery rates of the whale species. For management we recommend the following: 1) incorporation of both ecosystem considerations and the suite of identified threats not limited to direct take, 2) identification of measurable indicators of changes in whales that allow more certainty in monitoring of populations and the environment, and 3) recognition of significant relationships between baleen whales and habitat features to provide information on distribution and use.
Determination of the pattern of variation in population abundance among spatial scales offers much insight into the potential regulating factors. Here we offer a method of quantifying spatial variance on a range of scales derived by sampling of irregularly spaced sites along complex coastlines. We use it to determine whether the nature of spatial variance depends on the trophic level or the mode of dispersal of the species involved and the role of the complexity of the underlying habitat. A least‐cost distance model was used to determine distances by sea between all pairs of sites. Ordination of this distance matrix using multidimensional scaling allowed estimation of variance components with hierarchical ANOVA at nested spatial scales using spatial windows. By repeatedly moving these spatial windows and using a second set of spatial scales, average variance scale functions were derived for 50+ species in the UK rocky intertidal. Variance spectra for most species were well described by the inverse power law (1/ f β ) for noise spectra, with values for the exponent ranging from 0 to 1.1. At higher trophic levels (herbivores and carnivores), those species with planktonic dispersal had significantly higher β values, indicating greater large‐ than small‐scale variability, as did those on simpler coastlines (southwestern England and Wales vs. western Scotland). Average abundance and proportional incidence of species had the strongest influence on β values, with those of intermediate abundance and incidence having much greater large‐scale variance (β ≈ 0.5) than rare or ubiquitous species (β ≈ 0).