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4 results for “Fish-Habitat Relationships”
Data from: A novel stereo-video method to investigate fish-habitat relationships
Habitat complexity is known to influence the structure of fish assemblages. A number of techniques have previously been used to measure complexity, including quantitative in situ methods, which can be time-consuming and labour-intensive, and more rapid semi-quantitative visual scoring methods. This study investigated the utility of a novel method for estimating complexity, whereby habitat height was measured using stereo-photogrammetry from diver-operated stereo-video, traditionally used to sample fish assemblages. This 'stereo-height' method was compared to established in situ and visual scoring techniques and found to produce similar estimates of complexity. To determine how relevant the proposed method is for assessing ecological relationships, it was then used in conjunction with visual scoring of relief and point-intercept samples of benthic composition to model fish–habitat associations in the Pilbara region of Western Australia. Visual scores of relief were marginally stronger predictors of fish assemblage parameters and functional groups than the stereo-height measurements, providing support for the visual scoring approach. The only exception was for corallivorous fishes, which were more strongly correlated with stereo-height measurements. This study has presented a method for assessing habitat complexity using video imagery that is both comparable to traditional in situ techniques and useful for investigating fish–habitat relationships. We suggest that future studies interested in collecting habitat complexity data from new or existing stereo-video samples use both the stereo-height and visual scoring methods presented here. Together these methods enable studies to rapidly and effectively assess fish–habitat relationships across a range of habitats without the need for in situ methods or solely relying on field observers trained in visual scoring techniques.
Data from: Do spatial scale and life history affect fish-habitat relationships?
1. Understanding how animals interact with their environment is a fundamental ecological question with important implications for conservation and management. The relationships between animals and their habitat, however, can be scale dependent. If ecologists work at suboptimal spatial scales, they will gain an incomplete picture of how animals respond to the landscape. Identifying the scale at which animal-landscape relationships are strongest (the 'scale of effect') will improve our ability to better plan management and conservation activities. 2. Several recent studies have greatly enhanced our knowledge about the scale of effect, and the potential drivers of inter-specific variability, in particular life-history traits. However, while many marine systems are inherently multi-scalar, research into the scale of effect has been mainly focussed on terrestrial taxa. As the scales of observation in fish-habitat association studies are often selected based on convention rather than biological reasoning, they may provide an incomplete picture of the scales where these associations are strongest. 3. We examined fish-habitat associations across four nested spatial scales in a temperate reef system to ask: (1.) at what scale are fish-habitat associations the strongest, (2.) are habitat elements consistently important across scales, and (3.) do scale-dependent fish-habitat associations vary in relation to either body size, geographic range size or trophic level? 4. We found that: (1.) the strongest fish-habitat associations were observed when these relationships were examined at considerably larger spatial scales than usually investigated; (2.) the importance of environmental predictors varied across spatial scales, indicating that conclusions about the importance of habitat elements will depend on the scales at which studies are undertaken; and (3.) scale-dependent fish-habitat associations were consistent across all life-history traits. 5. Our results highlight the importance of considering how animals relate to their environment and suggest the small scales often chosen to examine fish-habitat associations are likely to be suboptimal. Developing a more mechanistic understanding of animal-habitat associations will greatly aid in predicting and managing responses to future anthropogenic disturbances.
Data from: A novel stereo-video method to investigate fish-habitat relationships
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Data from: Do spatial scale and life history affect fish-habitat relationships?
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