TY - JOUR
T1 - Behavioral indicators of predator space use
T2 - Studying species interactions through the behavior of predators
AU - Schmit, Kenneth A.
AU - Schauber, Eric M.
N1 - Funding Information:
Funding for our studies of predator-free space in nesting songbird communities and gypsy moth populations has been provided through grants from the National Science Foundation to K.A.S. and R.S. Ostfeld (DEB 0089588) and to C.G. Jones, B.J. Goodwin, R.S. Ostfeld, and E.M.S. (DEB 0212215). B.P. Kotler, C.J. Whelan, and two anonymous reviewers provided helpful comments on a previous draft of this manuscript. We also thank Marius van der Merwe and Joel S. Brown for graciously sharing their unpublished research on the landscape of fear in African ground squirrels. Last of all, we thank B.P. Kotler, J.S. Brown, and D.W. Morris for their invitation to contribute to this special issue of the Israel Journal of ecology and evolution on behavioral indicators, but most of all for their vision and leadership for bridging behavioral ecology and conservation.
PY - 2007
Y1 - 2007
N2 - Predation has major impacts on survival and reproductive success for many species. To quantify these effects, ecologists often choose to intensively study prey populations to measure predation rates and/or estimate predator abundance. But in some cases, predation rates are less strongly related to predator abundance per se than to spatial and temporal patterns of predator space use; thus, quantifying the latter may provide meaningful surrogates of predation rates that scale up to larger areas. This is particularly true when safety for prey, especially sessile and vulnerable prey, is strongly linked to predator-free space. Our own research programs have used two general types of behavioral indicators to quantify space use by predators: giving-up densities, as a surrogate for patch quitting harvest rates, and activity density. We discuss two general mechanisms by which predator-free (or predator-poor) space is created and link these mechanisms to behavioral indicators that can be easily collected in the field. We then summarize our past work on predation on passerine nests and moth pupae to demonstrate how using behavioral indicators of space use can reveal much about the impact of a predator on its prey. We demonstrate that behavioral indicators can be used for the following: (1) leading indicators for predation rates, (2) surrogates for information otherwise difficult to obtain, (3) integrative measures of the strength of species interactions, and (4) to reveal the outcomes of ecological interactions, such as prey persistence.
AB - Predation has major impacts on survival and reproductive success for many species. To quantify these effects, ecologists often choose to intensively study prey populations to measure predation rates and/or estimate predator abundance. But in some cases, predation rates are less strongly related to predator abundance per se than to spatial and temporal patterns of predator space use; thus, quantifying the latter may provide meaningful surrogates of predation rates that scale up to larger areas. This is particularly true when safety for prey, especially sessile and vulnerable prey, is strongly linked to predator-free space. Our own research programs have used two general types of behavioral indicators to quantify space use by predators: giving-up densities, as a surrogate for patch quitting harvest rates, and activity density. We discuss two general mechanisms by which predator-free (or predator-poor) space is created and link these mechanisms to behavioral indicators that can be easily collected in the field. We then summarize our past work on predation on passerine nests and moth pupae to demonstrate how using behavioral indicators of space use can reveal much about the impact of a predator on its prey. We demonstrate that behavioral indicators can be used for the following: (1) leading indicators for predation rates, (2) surrogates for information otherwise difficult to obtain, (3) integrative measures of the strength of species interactions, and (4) to reveal the outcomes of ecological interactions, such as prey persistence.
KW - Behavioral indicators
KW - Foraging theory
KW - GUDs
KW - Incidental predation
KW - Predator space use
KW - Quitting harvest rate
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U2 - 10.1560/ijee.53.3.389
DO - 10.1560/ijee.53.3.389
M3 - Article
AN - SCOPUS:47049100442
SN - 1565-9801
VL - 53
SP - 389
EP - 406
JO - Israel Journal of Ecology and Evolution
JF - Israel Journal of Ecology and Evolution
IS - 3-4
ER -