2009
DOI: 10.4319/lo.2009.54.6_part_2.2529
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Deciphering the effect of climate change and separating the influence of confounding factors in sediment core records using additive models

Abstract: We describe a new approach to modeling sediment core records, one that uses additive models (AMs) incorporating a serial correlation structure to model residual autocorrelation. Species assemblages, for example, are reduced to ordination axis scores that capture major changes in the data through time. Each set of axis scores is then modeled using an AM, where covariates represent forcing variables (e.g., tree-ring-inferred temperature or proxies for atmospheric deposition) and/or trend and, where necessary, pe… Show more

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Cited by 78 publications
(83 citation statements)
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“…To address this shortcoming, new sedimentary indicators are being developed to generate independent records of past E and m flux, including use of organic compounds (e.g., alkenones) to reconstruct past water-column temperature (Zink et al 2001;Powers et al 2004) and stable H isotopes in lipids to quantify historical changes in water influx (Huang et al 2004). Similarly, new time-series approaches such as dynamic linear models (Cottingham et al 2000), multispecies autoregressive models (Hampton et al 2006), wavelet analysis (Keitt 2008), and multivariate analysis of variance homogeneity (Anderson 2006) have been used to identify the mechanisms causing ecosystem variability, while the next generation of additive mixed models shows great promise for identifying how the importance of E and m flux can change independently through time (Simpson and Anderson 2009).…”
Section: Future Challenges and Opportunitiesmentioning
confidence: 99%
“…To address this shortcoming, new sedimentary indicators are being developed to generate independent records of past E and m flux, including use of organic compounds (e.g., alkenones) to reconstruct past water-column temperature (Zink et al 2001;Powers et al 2004) and stable H isotopes in lipids to quantify historical changes in water influx (Huang et al 2004). Similarly, new time-series approaches such as dynamic linear models (Cottingham et al 2000), multispecies autoregressive models (Hampton et al 2006), wavelet analysis (Keitt 2008), and multivariate analysis of variance homogeneity (Anderson 2006) have been used to identify the mechanisms causing ecosystem variability, while the next generation of additive mixed models shows great promise for identifying how the importance of E and m flux can change independently through time (Simpson and Anderson 2009).…”
Section: Future Challenges and Opportunitiesmentioning
confidence: 99%
“…Simpson and Anderson (2009) begin to address this problem by developing a new modeling approach using additive models to decipher the relative contributions of different forcing variables on changes in sedimentary diatom species composition through time.…”
Section: Lakes and Reservoirs As Integrators Of Past Climate Change-mentioning
confidence: 99%
“…Such reconstructions for local forcings and responses were based on classical and/or newly developed paleo-proxies (Table 1). Finally, the respective contribution of climate change vs. local forcings in driving observed ecological changes, such as the time-period at which they contributed to these changes, could be hierarchized, based on Generalized additive models (GAM, Simpson and Anderson, 2009). (Savichtcheva et al, 2011(Savichtcheva et al, , 2014 Bourget (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) Geneva (1977-) Annecy (1992-) Pico-cyanobacteria abundances and taxonomic composition Q-PCR Sequencing* on 16SrRNA gene +ITS (Domaizon et al, 2013) Littoral and benthic chironomids Spatially structured chironomid assemblages (Frossard et al, , 2014 Daphnia gene flow Micro-satelitte analyses of Daphnia resting eggs (Alric, 2012) Geochemistry Carbon cycling δ 13 C of sub-fossil remains (Perga, 2010(Perga, , 2011Frossard et al, 2014Frossard et al, , 2015 Hypoxic volumes 3D Distribution of laminated sediments (Jenny et al, , 2014a Lakes Geneva, Bourget, and Annecy are young lakes originating from the last deglaciation, located on the northwest edge of the French Alps (Figure 1).…”
Section: General Rationalementioning
confidence: 99%