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Dive into the research topics where Ken Norris is active.

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Featured researches published by Ken Norris.


Trends in Ecology and Evolution | 2012

Biodiversity and ecosystem services: a multilayered relationship

Georgina M. Mace; Ken Norris; A. H. Fitter

The relationship between biodiversity and the rapidly expanding research and policy field of ecosystem services is confused and is damaging efforts to create coherent policy. Using the widely accepted Convention on Biological Diversity definition of biodiversity and work for the U.K. National Ecosystem Assessment we show that biodiversity has key roles at all levels of the ecosystem service hierarchy: as a regulator of underpinning ecosystem processes, as a final ecosystem service and as a good that is subject to valuation, whether economic or otherwise. Ecosystem science and practice has not yet absorbed the lessons of this complex relationship, which suggests an urgent need to develop the interdisciplinary science of ecosystem management bringing together ecologists, conservation biologists, resource economists and others.


Biological Conservation | 2001

Why behavioural responses may not reflect the population consequences of human disturbance

Jennifer A. Gill; Ken Norris; William J. Sutherland

The effect of human disturbance on animals is frequently measured in terms of changes in behaviour in response to human presence. The magnitude of these changes in behaviour is then often used as a measure of the relative susceptibility of species to disturbance; for example species which show strong avoidance of human presence are often considered to be in greater need of protection from disturbance than those which do not. In this paper we discuss whether such changes in behaviour are likely to be good measures of the relative susceptibility of species, and suggest that their use may result in confusion when determining conservation priorities.


Journal of Ecology | 2013

Identification of 100 fundamental ecological questions

William J. Sutherland; Robert P. Freckleton; H. Charles J. Godfray; Steven R. Beissinger; Tim G. Benton; Duncan D. Cameron; Yohay Carmel; David A. Coomes; Tim Coulson; Mark Emmerson; Rosemary S. Hails; Graeme C. Hays; Dave J. Hodgson; Michael J. Hutchings; David Johnson; Julia P. G. Jones; Matthew James Keeling; Hanna Kokko; William E. Kunin; Xavier Lambin; Owen T. Lewis; Yadvinder Malhi; E. J. Milner-Gulland; Ken Norris; Albert B. Phillimore; Drew W. Purves; Jane M. Reid; Daniel C. Reuman; Ken Thompson; Justin M. J. Travis

Summary 1. Fundamental ecological research is both intrinsically interesting and provides the basic knowledge required to answer applied questions of importance to the management of the natural world. The 100th anniversary of the British Ecological Society in 2013 is an opportune moment to reflect on the current status of ecology as a science and look forward to high-light priorities for future work.


Nature | 2001

The buffer effect and large-scale population regulation in migratory birds.

Jennifer A. Gill; Ken Norris; Peter M. Potts; Tómas G. Gunnarsson; Philip W. Atkinson; William J. Sutherland

Buffer effects occur when sites vary in quality and fluctuations in population size are mirrored by large changes in animal numbers in poor-quality sites but only small changes in good-quality sites. Hence, the poor sites ‘buffer’ the good sites, a mechanism that can potentially drive population regulation if there are demographic costs of inhabiting poor sites. Here we show that for a migratory bird this process can apply on a country-wide scale with consequences for both survival and timing of arrival on the breeding grounds (an indicator of reproductive success). The Icelandic population of the black-tailed godwit, Limosa limosa islandica, wintering in Britain has increased fourfold since the 1970s (ref. 5) but rates of change within individual estuaries have varied from zero to sixfold increases. In accordance with the buffer effect, rates of increase are greater on estuaries with low initial numbers, and godwits on these sites have lower prey-intake rates, lower survival rates and arrive later in Iceland than godwits on sites with stable populations. The buffer effect can therefore be a major process influencing large-scale population regulation of migratory species.


Ecology Letters | 2008

Senescence rates are determined by ranking on the fast-slow life-history continuum

Owen R. Jones; Shripad Tuljapurkar; Jussi S. Alho; Kenneth B. Armitage; Peter H. Becker; Pierre Bize; Jon E. Brommer; Anne Charmantier; Marie J. E. Charpentier; T. H. Clutton-Brock; F. Stephen Dobson; Marco Festa-Bianchet; Lars Gustafsson; Henrik Jensen; Carl G. Jones; Bo-Goeran Lillandt; Robin H. McCleery; Juha Merilä; Peter Neuhaus; Malcolm A. C. Nicoll; Ken Norris; Madan K. Oli; Josephine M. Pemberton; Hannu Pietiäinen; Thor Harald Ringsby; Alexandre Roulin; Bernt-Erik Sæther; Joanna M. Setchell; Ben C. Sheldon; Paul M. Thompson

Comparative analyses of survival senescence by using life tables have identified generalizations including the observation that mammals senesce faster than similar-sized birds. These generalizations have been challenged because of limitations of life-table approaches and the growing appreciation that senescence is more than an increasing probability of death. Without using life tables, we examine senescence rates in annual individual fitness using 20 individual-based data sets of terrestrial vertebrates with contrasting life histories and body size. We find that senescence is widespread in the wild and equally likely to occur in survival and reproduction. Additionally, mammals senesce faster than birds because they have a faster life history for a given body size. By allowing us to disentangle the effects of two major fitness components our methods allow an assessment of the robustness of the prevalent life-table approach. Focusing on one aspect of life history - survival or recruitment - can provide reliable information on overall senescence.


Journal of Animal Ecology | 1994

Reproductive effort influences the prevalence of haematozoan parasites in great tits

Ken Norris; M. Anwar; Andrew F. Read

1. The influence of reproductive effort on host susceptibility to parasitism was examined in great tits, Parus major, by comparing the prevalence of haematozoan parasites with respect to clutch size in male and female parents. 2. Observational and experimental studies were conducted. Observational studies documented the relationship between clutch size and parasite prevalence in males and females in unmanipulated nests. Reproductive effort was manipulated by exchanging complete clutches between pairs of nests during incubation. Parents experienced a maximum manipulation of ± 5 eggs. 3. Observational studies showed that the prevalence of parasites was higher in females than males. The prevalence of parasites in males increased with both increasing clutch size and increasing age


Journal of Animal Ecology | 1993

Seasonal Variation in the Reproductive Success of Blue Tits: An Experimental Study

Ken Norris

In blue tit (Parus caeruleus L.) populations the numbers of surviving young from a clutch generally declines the later in the season it hatches, but hatching too early also reduces productivity. The extent to which seasonal changes in offspring survival were caused by environmental changes was assessed experimentally by cross-fostering clutches of differing age between pairs of nests in Bagley Wood, Oxfordshire. This manipulation had the effect of advancing or delaying the hatch date experienced by parents. Productivity of experimental nests could then be compared with the productivity of control pairs breeding at the same time, and with seasonal trends in long-term data from a blue tit population nesting in a similar habitat at Wytham, Oxfordshire


Proceedings of the Royal Society of London B: Biological Sciences | 2001

Depletion models can predict shorebird distribution at different spatial scales

Jennifer A. Gill; William J. Sutherland; Ken Norris

Predicting the impact of habitat change on populations requires an understanding of the number of animals that a given area can support. Depletion models enable predictions of the numbers of individuals an area can support from prey density and predator searching efficiency and handling time. Depletion models have been successfully employed to predict patterns of abundance over small spatial scales, but most environmental change occurs over large spatial scales. We test the ability of depletion models to predict abundance at a range of scales with black-tailed godwits, Limosa limosa islandica. From the type II functional response of godwits to their prey, we calculated the handling time and searching efficiency associated with these prey. These were incorporated in a depletion model, together with the density of available prey determined from surveys, in order to predict godwit abundance. Tests of these predictions with Wetland Bird Survey data from the British Trust for Ornithology showed significant correlations between predicted and observed densities at three scales: within mudflats, within estuaries and between estuaries. Depletion models can thus be powerful tools for predicting the population size that can be supported on sites at a range of scales. This greatly enhances our confidence in predictions of the consequences of environmental change.


Proceedings. Biological sciences / The Royal Society , 280 (1771) 20131452-. (2013) | 2013

Predictive systems ecology

Matthew R. Evans; Mike Bithell; Stephen J. Cornell; Sasha R. X. Dall; Sandra Díaz; Stephen Emmott; Bruno Ernande; Volker Grimm; David J. Hodgson; Simon L. Lewis; Georgina M. Mace; Michael D. Morecroft; Aristides Moustakas; Eugene J. Murphy; Tim Newbold; Ken Norris; Owen L. Petchey; Matthew J. Smith; Justin M. J. Travis; Tim G. Benton

Human societies, and their well-being, depend to a significant extent on the state of the ecosystems that surround them. These ecosystems are changing rapidly usually in response to anthropogenic changes in the environment. To determine the likely impact of environmental change on ecosystems and the best ways to manage them, it would be desirable to be able to predict their future states. We present a proposal to develop the paradigm of predictive systems ecology, explicitly to understand and predict the properties and behaviour of ecological systems. We discuss the necessary and desirable features of predictive systems ecology models. There are places where predictive systems ecology is already being practised and we summarize a range of terrestrial and marine examples. Significant challenges remain but we suggest that ecology would benefit both as a scientific discipline and increase its impact in society if it were to embrace the need to become more predictive.


The American Naturalist | 2013

How Life History Influences Population Dynamics in Fluctuating Environments

Bernt-Erik Sæther; Tim Coulson; Steinar Engen; Res Altwegg; Kenneth B. Armitage; Christophe Barbraud; Peter H. Becker; Daniel T. Blumstein; F. Stephen Dobson; Marco Festa-Bianchet; Andrew R. Jenkins; Carl Jones; Malcolm A. C. Nicoll; Ken Norris; Madan K. Oli; Arpat Ozgul; Henri Weimerskirch

A major question in ecology is how age-specific variation in demographic parameters influences population dynamics. Based on long-term studies of growing populations of birds and mammals, we analyze population dynamics by using fluctuations in the total reproductive value of the population. This enables us to account for random fluctuations in age distribution. The influence of demographic and environmental stochasticity on the population dynamics of a species decreased with generation time. Variation in age-specific contributions to total reproductive value and to stochastic components of population dynamics was correlated with the position of the species along the slow-fast continuum of life-history variation. Younger age classes relative to the generation time accounted for larger contributions to the total reproductive value and to demographic stochasticity in “slow” than in “fast” species, in which many age classes contributed more equally. In contrast, fluctuations in population growth rate attributable to stochastic environmental variation involved a larger proportion of all age classes independent of life history. Thus, changes in population growth rates can be surprisingly well explained by basic species-specific life-history characteristics.

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Carl G. Jones

Durrell Wildlife Conservation Trust

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Simon J. Butler

University of East Anglia

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Deborah J. Pain

Royal Society for the Protection of Birds

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