d5c5774c6e48509b84bb0389a2dc882e English series BTO Ilya M.D Maclean British Trust for Ornithology The Nunnery Thetford IP24 2PU pointOfContact 2009-05-06 MEDIN Discovery Metadata Standard Version 2.3.5 urn:ogc:def:crs:EPSG::4326 OGP 2007, COWRIE, Potential use of population viability analysis to assess the impact of offshore windfarms on bird populations 2007-09-01 publication 2007-01-01 creation 3207 http://data.offshorewind.co.uk/ Although conventional impact assessments allow estimates of the number of birds that might collide with or be displaced by windfarms, such methods do not allow the overall effect on bird populations to be established. This report determines whether sufficient demographic information is available to carry out population viability analysis: one method of determining the impacts of offshore windfarms on bird populations. For most species likely to be affected by offshore windfarms, sufficient demographic data exist to carry out population viability analyses. There is good information on adult survival for all species with the exception of little tern and little gull. Similarly, for all species except little gull, there is good information on productivity. Reasonable data on age-dependent survival and productivity and on the proportion of non-breeders and intercolony movements are available for about half of the species assessed. The Crown Estate +44 020 7851 5000 16 New Burlington Place London W1S 2HX United Kingdom enquiries@thecrownestate.co.uk http://www.thecrownestate.co.uk custodian Ilya M.D. Maclean, Morten Frederiksen British Trust for Ornithology +44 (0)1842 750050 +44 (0)1842 750030 The Nunnery, Thetford, ilya.maclean@bto.org bto.org originator notPlanned pdf Marine Environmental Data and Information Network Metadata record availability 2012-01-11T07:46:54 revision Research The Crown Estate Renewable Energy Development Phases 2012-05-15T02:00:03 revision Research and Development Activity The Crown Estate Renewable Energy Development Areas 2012-05-15 revision 1 Bird counts Bird taxonomy-related abundance per unit area of surface Bird behaviour SeaDataNet Parameter Discovery Vocabulary 2017-10-18 revision 104 no conditions apply eng biota environment -9.33312855790775 2.68743327033997 49.0399981037863 60.7672028638749 2007-09 2007-09 Origin: Centre for Ecology and Hydrology and BTO http://www.marinedataexchange.co.uk/search?q=#fq=fq%3DProject%253Amdecowrie1025 download https://www.marinedataexchange.co.uk/details/259/summary A link to the web service or dataset. https://www.marinedataexchange.co.uk A link to the general host site. dataset Population viability analysis (PVA) is a species-specific process used to identifying the process that determines the probability that a population will go extinct within a given number of years (Shaffer, 1983; 1987; Boyce 1992) and is thus used to identify the most important threats facing a particular species population. It differs from conventional population modelling in that it takes into account stochastic events, i.e. random changes in demographic rates such as survival or productivity. As such, it is the variability in demographic parameters that is as important as mean values and the greater the variability, the more prone a population is to extinction all other things being equal. Population viability analysis is often oriented towards the conservation and management of rare and threatened species, with the goal of applying the principles of population ecology to improve their chances of survival. Threatened species management has two broad objectives. The short-term objective is to minimize the risk of extinction. The longer-term objective is to promote conditions in which species retain their potential for evolutionary change without intensive management. PVAs are often used to reveal the sensitivity of populations to particular demographic parameters so that the most important impacts on extinction probabilities can be determined. Extrinsic forces, such as habitat loss, over-harvesting, and competition or predation by introduced species, often lead to population decline. Although the traditional methods of wildlife ecology can reveal such deterministic trends, random fluctuations that increase as populations become smaller can lead to extinction even of populations that have, on average, positive population growth when below carrying capacity and mechanisms that incorporate intrinsic factors are needed if extinction risks are to be determined (Lacy 1993).