Inter‐specific variation in avian responses to human disturbance

By Daniel T. Blumstein, E. Fernández‐Juricic, P. Zollner, Susan C. Garity. 2005

298 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Ecology, Evolution, Behavior and Systematics

View Paper: https://www.semanticscholar.org/paper/cd9d4d878aef018fcb95b1b4fc0d1804958b4118

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Citations in the corpus

Effects of risk assessment, predator behavior, and habitat on escape behavior in Columbian black-tailed deer (2007, background): “Although many studies have focused on the decision of when to flee from predators (reviewed in Stankowich and Blumstein 2005), very little attention has been paid to relating escape behavior to preflight risk assessment and predator approach behavior (Caro 2005; Stankowich 2006).”
Avian visual system configuration and behavioural response to object approach (2009, unknown): “Two factors that can influence interspecific variations in antipredator responses are the size and shape of detection windows: areas around an animal where the probabilities of detecting objects are higher (Blumstein et al. 2005).”
Ungulate flight responses to human disturbance: a review and meta-analysis. (2008, background): “Blumstein and colleagues (Blumstein et al., 2005) suggest that in order to develop predictive models of how different avian species will respond to disturbances, managers need three things: (1) multiple indicators of disturbance, (2) identification of the degree of interspecific variability, and…”
A review of flight-initiation distances and their application to managing disturbance to Australian birds (2012, unknown): “If AD is evident, it is always greater than or equal to FID (Blumstein et al. 2005; Cárdenas et al. 2005).”
Effects of predator behavior and proximity on risk assessment by Columbian black-tailed deer (2006, background): “When the scanning rate is suboptimal ( a 2 ), detection may not occur until the predator has come to within a markedly closer distance within Zone II, and because alert distance (AD) is correlated with FID (Blumstein et al., 2005), animals should then take ﬂight at a shorter distance.”
Evaluating methods to quantify anthropogenic stressors on wild animals (2007, background): “Future research should aim to identify robust generalizations about human disturbance and breeding success (e.g., Owens and Bennett, 2000); ultimately we should aim to identify those life history or natural history characteristics that predict response to human disturbance (Blumstein et al., 2005).”
Effects of hunting with hounds on a non-target species living on the edge of a protected area (2011, background): “The impact of human activities on wildlife, and of hunting in particular, is often complex and varies in space and across time, although its actual effects are still poorly understood (Blumstein et al., 2005; Jayakody et al., 2008; Stankowich, 2008).”
Meta-analyses of whale-watching impact studies: Comparisons of cetacean responses to disturbance (2016, unknown): “To develop a predictive model on responses to disturbance, 3 factors should be evaluated: (1) multiple indicators of disturbance, (2) degree of interspecific variability, and (3) ecological factors and life history characteristics that could influence behavioral res - ponses (Blumstein et al. 2005).”
The Behavioral Ecology of Disturbance Responses (2007, unknown): “…using simulation models: Stillman et al. (2000) used an individual based model to show that avoidance behavior may lead to population decline and Blumstein et al. (2005) used a simple model to show that resource use may fall in disturbed areas but neither studies include context-based decision…”