Cargando…

Improving estimates of environmental change using multilevel regression models of Ellenberg indicator values

Ellenberg indicator values (EIVs) are a widely used metric in plant ecology comprising a semi‐quantitative description of species’ ecological requirements. Typically, point estimates of mean EIV scores are compared over space or time to infer differences in the environmental conditions structuring p...

Descripción completa

Detalles Bibliográficos
Autores principales:	Carroll, Tadhg, Gillingham, Phillipa K., Stafford, Richard, Bullock, James M., Diaz, Anita
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2018
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6202714/ https://www.ncbi.nlm.nih.gov/pubmed/30386571 http://dx.doi.org/10.1002/ece3.4422

Ejemplares similares

Correlated biodiversity change between plant and insect assemblages resurveyed after 80 years across a dynamic habitat mosaic
por: Carroll, Tadhg, et al.
Publicado: (2023)

Ellenberg Indicator Values Disclose Complex Environmental Filtering Processes in Plant Communities along an Elevational Gradient
por: Di Biase, Letizia, et al.
Publicado: (2023)

Ellenberg's indicator values support prediction of suitable habitat for pre-diapause larvae of endangered butterfly Euphydryas aurinia
por: Pielech, Remigiusz, et al.
Publicado: (2017)

Beyond the unconscious: essays of Henri F. Ellenberger in the history of psychiatry
por: Porter, Roy
Publicado: (1995)

Using Ellenberg-Pignatti values to estimate habitat preferences of wild food and medicinal plants: an example from northeastern Istria (Croatia)
por: Vitasović Kosić, Ivana, et al.
Publicado: (2017)

Effects of Dominance and Diversity on Productivity along Ellenberg's Experimental Water Table Gradients
por: Hector, Andy, et al.
Publicado: (2012)

Using Multilevel Regression and Poststratification to Estimate Physical Activity Levels from Health Surveys
por: Christofoletti, Marina, et al.
Publicado: (2021)

Shifts in the climate space of temperate cyprinid fishes due to climate change are coupled with altered body sizes and growth rates
por: Ruiz‐Navarro, Ana, et al.
Publicado: (2016)

A Multilevel Bayesian Approach to Improve Effect Size Estimation in Regression Modeling of Metabolomics Data Utilizing Imputation with Uncertainty
por: Gillies, Christopher E., et al.
Publicado: (2020)

Data Analysis Using Regression And Multilevel/Hierarchical Models
por: Gelman, Andrew, et al.
Publicado: (2006)

Intermediate and advanced topics in multilevel logistic regression analysis
por: Austin, Peter C., et al.
Publicado: (2017)

Sample size issues in multilevel logistic regression models
por: Ali, Amjad, et al.
Publicado: (2019)

Relatedness disequilibrium regression estimates heritability without environmental bias
por: Young, Alexander I., et al.
Publicado: (2018)

Multilevel network meta‐regression for population‐adjusted treatment comparisons
por: Phillippo, David M., et al.
Publicado: (2020)

Estimating traffic contribution to particulate matter concentration in urban areas using a multilevel Bayesian meta-regression approach
por: Heydari, Shahram, et al.
Publicado: (2020)

Estimating Multilevel Models on Data Streams
por: Ippel, L., et al.
Publicado: (2019)

A simulation study of sample size for multilevel logistic regression models
por: Moineddin, Rahim, et al.
Publicado: (2007)

Sufficient Sample Size and Power in Multilevel Ordinal Logistic Regression Models
por: Ali, Sabz, et al.
Publicado: (2016)

Multilevel logistic regression modelling to quantify variation in malaria prevalence in Ethiopia
por: Zewude, Bereket Tessema, et al.
Publicado: (2022)

Genomic breeding value estimation using nonparametric additive regression models
por: Bennewitz, Jörn, et al.
Publicado: (2009)

Deregressing estimated breeding values and weighting information for genomic regression analyses
por: Garrick, Dorian J, et al.
Publicado: (2009)

Improved estimation in negative binomial regression
por: Kenne Pagui, Euloge Clovis, et al.
Publicado: (2022)

Environmental volunteer well-being: Managers’ perception and actual well-being of volunteers
por: Kragh, Gitte, et al.
Publicado: (2016)

Biomonitors and biomarkers as indicators of environmental change
por: Butterworth, Frank, et al.
Publicado: (2001)

Use of posterior predictive assessments to evaluate model fit in multilevel logistic regression
por: Green, Martin J., et al.
Publicado: (2009)

A Multilevel Regression Model for Geographical Studies in Sets of Non-Adjacent Cities
por: Marí-Dell’Olmo, Marc, et al.
Publicado: (2015)

Measures of clustering and heterogeneity in multilevel Poisson regression analyses of rates/count data
por: Austin, Peter C., et al.
Publicado: (2017)

A simulation study for evaluating the performance of clustering measures in multilevel logistic regression
por: Adam, Nicholas Siame, et al.
Publicado: (2021)

A Systematic Review and Multilevel Regression Analysis Reveals the Comorbidity Prevalence in Cancer
por: Vrinzen, Cilla E.J., et al.
Publicado: (2023)

A Spatial Regression Analysis on the Effect of Neighborhood-Level Trust on Cooperative Behaviors: Comparison With a Multilevel Regression Analysis
por: Takagi, Daisuke, et al.
Publicado: (2019)

Wasserstein barycenter regression for estimating the joint dynamics of renewable and fossil fuel energy indices
por: De Giuli, Maria Elena, et al.
Publicado: (2023)

Behavioural thermoregulation in cold‐water freshwater fish: Innate resilience to climate warming?
por: Amat‐Trigo, Fatima, et al.
Publicado: (2022)

Biomonitors and biomarkers as indicators of environmental change : a handbook
Publicado: (1995)

Estimating nonlinear regression errors without doing regression
por: Pi, H, et al.
Publicado: (1994)

An Original Stepwise Multilevel Logistic Regression Analysis of Discriminatory Accuracy: The Case of Neighbourhoods and Health
por: Merlo, Juan, et al.
Publicado: (2016)

Factors Associated with Cesarean Section in Tehran, Iran using Multilevel Logistic Regression Model
por: Amini, Payam, et al.
Publicado: (2018)

A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models
por: Aßmann, Christian, et al.
Publicado: (2022)

Least squares and maximum likelihood estimation of sufficient reductions in regressions with matrix-valued predictors
por: Pfeiffer, Ruth M., et al.
Publicado: (2020)

Improved regression in ratio type estimators based on robust M-estimation
por: Rather, Khalid Ul Islam, et al.
Publicado: (2022)

Comparison of Estimation Procedures for Multilevel AR(1) Models
por: Krone, Tanja, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_rdgo08qqb7jjtp68sfht0ligr4