Complex population dynamics and complex causation: devils, details and demography. Export

@article{citeulike:4109114, abstract = {Population dynamics result from the interplay of density-independent and density-dependent processes. Understanding this interplay is important, especially for being able to predict near-term population trajectories for management. In recent years, the study of model systems-experimental, observational and theoretical-has shed considerable light on the way that the both density-dependent and -independent aspects of the environment affect population dynamics via impacting on the organism's life history and therefore demography. These model-based approaches suggest that (i) individuals in different states differ in their demographic performance, (ii) these differences generate structure that can fluctuate independently of current total population size and so can influence the dynamics in important ways, (iii) individuals are strongly affected by both current and past environments, even when the past environments may be in previous generations and (iv) dynamics are typically complex and transient due to environmental noise perturbing complex population structures. For understanding population dynamics of any given system, we suggest that 'the devil is in the detail'. Experimental dissection of empirical systems is providing important insights into the details of the drivers of demographic responses and therefore dynamics and should also stimulate theory that incorporates relevant biological mechanism.}, author = {Benton, T. G. and Plaistow, S. J. and Coulson, T. N.}, citeulike-article-id = {4109114}, citeulike-linkout-0 = {http://dx.doi.org/10.1098/rspb.2006.3495}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/16720388}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=16720388}, comment = {An article about how individuals in a population can have a important effect on the population dynamics. }, day = {22}, doi = {10.1098/rspb.2006.3495}, issn = {0962-8452}, journal = {Proceedings. Biological sciences / The Royal Society}, keywords = {biology, causality}, month = {May}, number = {1591}, pages = {1173--1181}, posted-at = {2009-02-27 04:34:49}, priority = {2}, title = {Complex population dynamics and complex causation: devils, details and demography.}, url = {http://dx.doi.org/10.1098/rspb.2006.3495}, volume = {273}, year = {2006} }

TY - JOUR ID - citeulike:4109114 L3 - citeulike-article-id:4109114 N2 - Population dynamics result from the interplay of density-independent and density-dependent processes. Understanding this interplay is important, especially for being able to predict near-term population trajectories for management. In recent years, the study of model systems-experimental, observational and theoretical-has shed considerable light on the way that the both density-dependent and -independent aspects of the environment affect population dynamics via impacting on the organism's life history and therefore demography. These model-based approaches suggest that (i) individuals in different states differ in their demographic performance, (ii) these differences generate structure that can fluctuate independently of current total population size and so can influence the dynamics in important ways, (iii) individuals are strongly affected by both current and past environments, even when the past environments may be in previous generations and (iv) dynamics are typically complex and transient due to environmental noise perturbing complex population structures. For understanding population dynamics of any given system, we suggest that 'the devil is in the detail'. Experimental dissection of empirical systems is providing important insights into the details of the drivers of demographic responses and therefore dynamics and should also stimulate theory that incorporates relevant biological mechanism. IS - 1591 JF - Proceedings. Biological sciences / The Royal Society SN - 0962-8452 EP - 1181 TI - Complex population dynamics and complex causation: devils, details and demography. VL - 273 SP - 1173 KW - biology KW - causality N1 - An article about how individuals in a population can have a important effect on the population dynamics. AU - Benton, TG AU - Plaistow, SJ AU - Coulson, TN PY - 2006/05/22/ UR - http://dx.doi.org/10.1098/rspb.2006.3495 ER -