85 research outputs found
External tagging does not affect the feeding behavior of a coral reef fish, Chaetodon vagabundus (Pisces: Chaetodontidae)
Author Posting. © The Author(s), 2009. This is the author's version of the work. It is posted here by permission of for personal use, not for redistribution. The definitive version was published in Environmental Biology of Fishes 86 (2009): 447-450, doi:10.1007/s10641-009-9545-9.Increasingly, the ability to recognize individual fishes is important for studies of population
dynamics, ecology, and behavior. Although a variety of methods exist, external tags remain one
of the most widely applied because they are both effective and cost efficient. However, a key
assumption is that neither the tagging procedure nor the presence of a tag negatively affects the
individual. While this has been demonstrated for relatively coarse metrics such as growth and
survival, few studies have examined the impact of tags and tagging on more subtle aspects of
behavior. We tagged adult vagabond butterflyfish (Chaetodon vagabundus) occupying a 30-ha
insular reef in Kimbe Bay, Papua New Guinea, using a commonly-utilized t-bar anchor tag. We
quantified and compared feeding behavior (bite rate), which is sensitive to stress, of tagged and
untagged individuals over four separate sampling periods spanning four months post-tagging.
Bite rates did not differ between tagged and untagged individuals at each sampling period and,
combined with additional anecdotal observations of normal pairing behavior and successful
reproduction, suggest that tagging did not adversely affect individuals.The authors gratefully
acknowledge funding from the Fulbright Program, National Science Foundation and the
Australian Research Council
Profiling Trait Anxiety: Transcriptome Analysis Reveals Cathepsin B (Ctsb) as a Novel Candidate Gene for Emotionality in Mice
Behavioral endophenotypes are determined by a multitude of counteracting but precisely balanced molecular and physiological mechanisms. In this study, we aim to identify potential novel molecular targets that contribute to the multigenic trait “anxiety”. We used microarrays to investigate the gene expression profiles of different brain regions within the limbic system of mice which were selectively bred for either high (HAB) or low (LAB) anxiety-related behavior, and also show signs of comorbid depression-like behavior
Reviewing the use of resilience concepts in forest sciences
Purpose of the review Resilience is a key concept to deal with an uncertain future in forestry. In recent years, it has received increasing attention from both research and practice. However, a common understanding of what resilience means in a forestry context, and how to operationalise it is lacking. Here, we conducted a systematic review of the recent forest science literature on resilience in the forestry context, synthesising how resilience is defined and assessed.
Recent findings Based on a detailed review of 255 studies, we analysed how the concepts of engineering resilience, ecological resilience, and social-ecological resilience are used in forest sciences. A clear majority of the studies applied the concept of engineering resilience, quantifying resilience as the recovery time after a disturbance. The two most used indicators for engineering resilience were basal area increment and vegetation cover, whereas ecological
resilience studies frequently focus on vegetation cover and tree density. In contrast, important social-ecological resilience indicators used in the literature are socio-economic diversity and stock of natural resources. In the context of global change, we expected an increase in studies adopting the more holistic social-ecological resilience concept, but this was not the observed trend. Summary Our analysis points to the nestedness of these three resilience concepts, suggesting that they are complementary rather than contradictory. It also means that the variety of resilience approaches does not need to be an obstacle for operationalisation of the concept. We provide guidance for choosing the most suitable resilience concept and indicators based on the management, disturbance and application context
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