| State-space models for the dynamics of wild animal populations ST Buckland, KB Newman, L Thomas, NB Koesters Ecological modelling 171 (1-2), 157-175, 2004 | 403 | 2004 |
| Bayesian change point analysis of abundance trends for pelagic fishes in the upper San Francisco Estuary JR Thomson, WJ Kimmerer, LR Brown, KB Newman, RM Nally, ... Ecological Applications 20 (5), 1431-1448, 2010 | 217 | 2010 |
| Analysis of pelagic species decline in the upper San Francisco Estuary using multivariate autoregressive modeling (MAR) R Mac Nally, JR Thomson, WJ Kimmerer, F Feyrer, KB Newman, A Sih, ... Ecological Applications 20 (5), 1417-1430, 2010 | 194 | 2010 |
| A guide to state–space modeling of ecological time series M Auger‐Méthé, K Newman, D Cole, F Empacher, R Gryba, AA King, ... Ecological Monographs 91 (4), e01470, 2021 | 186 | 2021 |
| Embedding population dynamics models in inference ST Buckland, KB Newman, C Fernández, L Thomas, J Harwood | 170 | 2007 |
| Efficiency of tree crowns and stemwood production at different canopy leaf densities RH Waring, K Newman, J Bell Forestry: An International Journal of Forest Research 54 (2), 129-137, 1981 | 154 | 1981 |
| Hidden process models for animal population dynamics KB Newman, ST Buckland, ST Lindley, L Thomas, C Fernandez Ecological applications 16 (1), 74-86, 2006 | 152 | 2006 |
| Modelling population dynamics KB Newman, ST Buckland, BJT Morgan, R King, DL Borchers, DJ Cole, ... Methods in Statistical Ecology. New York, NY: Springer New York, 2014 | 148 | 2014 |
| A UNIFIED FRAMEWORK FOR MODELLING WILDLIFE POPULATION DYNAMICS† L Thomas, ST Buckland, KB Newman, J Harwood Australian & New Zealand Journal of Statistics 47 (1), 19-34, 2005 | 139 | 2005 |
| Modeling the effects of future outflow on the abiotic habitat of an imperiled estuarine fish F Feyrer, K Newman, M Nobriga, T Sommer Estuaries and Coasts 34, 120-128, 2011 | 96 | 2011 |
| Monte Carlo inference for state–space models of wild animal populations KB Newman, C Fernández, L Thomas, ST Buckland Biometrics 65 (2), 572-583, 2009 | 92 | 2009 |
| A road map for designing and implementing a biological monitoring program JH Reynolds, MG Knutson, KB Newman, ED Silverman, WL Thompson Environmental Monitoring and Assessment 188, 1-25, 2016 | 82 | 2016 |
| Modeling the survival of Chinook salmon smolts outmigrating through the lower Sacramento River system KB Newman, J Rice Journal of the American Statistical Association 97 (460), 983-993, 2002 | 81 | 2002 |
| State-space modeling of animal movement and mortality with application to salmon KB Newman Biometrics, 1290-1314, 1998 | 79 | 1998 |
| Modelling paired release-recovery data in the presence of survival and capture heterogeneity with application to marked juvenile salmon KB Newman Statistical modelling 3 (3), 157-177, 2003 | 67 | 2003 |
| Hierarchical modeling of juvenile Chinook salmon survival as a function of Sacramento–San Joaquin Delta water exports KB Newman, PL Brandes North American Journal of Fisheries Management 30 (1), 157-169, 2010 | 65 | 2010 |
| Predation on juvenile salmonids by smallmouth bass in the Lower Granite Reservoir system, Snake River GP Naughton, DH Bennett, KB Newman North American Journal of Fisheries Management 24 (2), 534-544, 2004 | 47 | 2004 |
| Migration patterns of juvenile winter-run-sized Chinook Salmon (Oncorhynchus tshawytscha) through the Sacramento–San Joaquin Delta RB del Rosario, YJ Redler, K Newman, PL Brandes, T Sommer, K Reece, ... San Francisco Estuary and Watershed Science 11 (1), 2013 | 46 | 2013 |
| Accounting for demographic and environmental stochasticity, observation error, and parameter uncertainty in fish population dynamics models KB Newman, ST Lindley North American Journal of Fisheries Management 26 (3), 685-701, 2006 | 46 | 2006 |
| State‐space models for ecological time‐series data: Practical model‐fitting K Newman, R King, V Elvira, P de Valpine, RS McCrea, BJT Morgan Methods in Ecology and Evolution 14 (1), 26-42, 2023 | 37 | 2023 |
Len ThomasCREEM, University of St AndrewsEmail được xác minh tại st-andrews.ac.uk
