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Modeling fecundity in birds: Conceptual overview, current models, and considerations for future developments
Authors:Matthew A. Etterson  Susan N. Ellis-FelegeDavid Evers  Gilles GauthierJoseph A. Grzybowski  Brady J. MattssonLaura R. Nagy  Brian J. OlsenCraig M. Pease  Max Post van der BurgAaron Potvien
Affiliation:a U.S. Environmental Protection Agency, Mid-Continent Ecology Division, 6201 Congdon Boulevard, Duluth, MN 55803, USA
b Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA 30602, USA
c BioDiversity Research Institute, 19 Flaggy Meadow Rd, Gorham, ME 04038, USA
d Département de biologie & Centre d’études Nordiques, Pavillon Vachon, 1045 avenue de la Medecine, Université Laval, Québec, Qc, G1V 0A6, Canada
e College of Mathematics and Science, University of Central Oklahoma, Edmond, OK, USA
f Sam Noble Oklahoma Museum of Natural History, Norman, OK, USA
g Tetra Tech EC, SW Harbor Way, Suite 400, Portland, OR 97201, USA
h Climate Change Institute, School of Biology & Ecology, 5751 Murray Hall, University of Maine, Orono, ME, 04469 USA
i Environmental Law Center, Vermont Law School, South Royalton, VT 05068, USA
j Auburn University, School of Forestry and Wildlife Sciences, 3203 Forestry and Wildlife Sciences Building, Auburn, AL 36849, USA
k Department of Statistics, 1300 University Avenue, University of Wisconsin Madison, Madison, WI 53706, USA
Abstract:Fecundity is fundamental to the fitness, population dynamics, conservation, and management of birds. For all the efforts made to measure fecundity or its surrogates over the past century of avian research, it is still mismeasured, misrepresented, and misunderstood. Fundamentally, these problems arise because of partial observability of underlying processes such as renesting, multiple brooding, and temporary emigration. Over the last several decades, various analytical approaches have been developed to estimate fecundity from incomplete and biased data. These, include scalar arithmetic formulae, partial differential equations, individual-based simulations, and Markov chain methodology. In this paper, we: (1) identify component processes of avian reproduction; (2) review existing methods for modeling fecundity; (3) place these diverse models under a common conceptual framework; (4) describe the parameterization, validation, and limitations of such models; and (5) point out future considerations and challenges in the application of fecundity models. We hope this synthesis of existing literature will help direct researchers toward the most appropriate methods to assess avian reproductive success for answering questions in evolutionary ecology, natural history, population dynamics, reproductive toxicology, and management.
Keywords:Birds   Seasonal fecundity   Reproductive success   Individual-based model   Markov chain   Partial differential equations
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