ANALYSIS OF POPULATION TRENDS FOR FARMLAND BIRDS USING GENERALIZED ADDITIVE MODELS

By Rachel M. Fewster, S. T. Buckland, G. Siriwardena, S. Baillie, Jeremy D. Wilson. 2000

474 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/bcfa2a603840c4a6a2af061d7d2d486ed4e9e22d

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Citations in the corpus

Smoothing and trend detection in waterbird monitoring data using structural time-series analysis and the Kalman filter (2007, methodology): “In contrast, one of the strengths of a GAM is its ability to smooth, using the raw data (Fewster et al. 2000), which makes it a promising method, although it is very computer-intensive.”
Hypotheses to explain patterns of population change among breeding bird species in England (2010, background): “3 times the number of years 1966– 2007 (Fewster et al., 2000).”
Developing indicators for European birds (2005, background): “2004b), but also in the similarity of pattern across species (Fuller et al. 1995; Siriwardena et al. 1998; Fewster et al. 2000).”
The geometric mean of relative abundance indices : a biodiversity measure with a difference (2011, methodology): “Change-points in trends were determined through a numerical approximation of the second derivative of the curve (Fewster et al. 2000).”
MODELING ABUNDANCE EFFECTS IN DISTANCE SAMPLING (2004, unknown): “…or generalized linear models for modeling the observed counts or detection/nondetection (e.g., Vincent and Haworth 1983, Robbins et al. 1989, Friesen et al. 1995, Hutto 1995, Young and Hutto 1999, 2002, Fewster et al. 2000, Brand and Georgea 2001, Vernier et al. 2002, Beadell et al. 2003).”
LESSONS FROM MONITORING TRENDS IN ABUNDANCE OF MARINE MAMMALS (2007, methodology): “The detection of trends is improved by the use of models, which include covariates that effectively remove some of the “noise” that may otherwise obscure trends (Forney et al. 1991, Fewster et al. 2000, Ver Hoef and Frost 2003).”
Modelling population changes using data from different surveys: the Common Birds Census and the Breeding Bird Survey (2007, methodology): “More recently, generalized additive models have been applied to the longer runs of data available from the CBC (Fewster et al. 2000, Baillie et al. 2006) and the Waterways Bird Survey (Newson et al. 2003), and the annual indices in Equation 1 have been recast as a function of demographic parameters…”
The Wildlife Picture Index: monitoring top trophic levels (2010, methodology): “GAMs also allow for a statistical test of changes in direction of the index trajectory, thus satisfying the criteria of a CBD 2010 indicator.”
Population status, trends and a re-examination of the hypotheses explaining the recent declines of the southern elephant seal Mirounga leonina (2005, background): “However, given that it is not always easy to detect changes in population data (Fewster et al., 2000) and the fact that population data such as those from”
A framework for monitoring the status of populations: An example from wader populations in the East Asian–Australasian flyway (2010, methodology): “, 1994) or generalized additive models (GAMs) (Fewster et al., 2000), here we used smoothed hierarchical models for estimating population indices from time-series count data at more than one survey sites.”
Spatial prediction of species distribution: an interface between ecological theory and statistical modelling (2002, background): “Note the recent use of GAM by Fewster et al. (2000) to examine the population dynamics of birds and the use of temporal data by Boyce et al. (2002).”
Long-term monitoring of tropical bats for anthropogenic impact assessment: Gauging the statistical power to detect population change (2010, methodology): “While power analyses are most appropriately employed prior to implementation of a monitoring program for determining optimal study design, the detection of trends can be improved by the use of statistical models that include covariates that effectively remove some of the ‘noise’ that may otherwise o”
A working guide to boosted regression trees. (2008, methodology): “These models are now widely used in ecology, for example for analysis of morphological relationships (Clarke & Johnston 1999) and population trends ( Fewster et al . 2000 ), and for predicting the distributions of species (Buckland & Elston 1993).”