Perry de Valpine
Perry de Valpine
Environmental Science, Policy and Management, University of California, Berkeley
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Cited by
Cited by
Diversification practices reduce organic to conventional yield gap
LC Ponisio, LK M'Gonigle, KC Mace, J Palomino, P De Valpine, ...
Proceedings of the Royal Society B: Biological Sciences 282 (1799), 20141396, 2015
Fitting population models incorporating process noise and observation error
P De Valpine, A Hastings
Ecological Monographs 72 (1), 57-76, 2002
Programming with models: writing statistical algorithms for general model structures with NIMBLE
P de Valpine, D Turek, CJ Paciorek, C Anderson-Bergman, DT Lang, ...
Journal of Computational and Graphical Statistics 26 (2), 403-413, 2017
Plant responses to experimental warming in a montane meadow
P de Valpine, J Harte
Ecology 82 (3), 637-648, 2001
Are patterns of density dependence in the Global Population Dynamics Database driven by uncertainty about population abundance?
J Knape, P de Valpine
Ecology letters 15 (1), 17-23, 2012
Strategies for fitting nonlinear ecological models in R, AD M odel B uilder, and BUGS
BM Bolker, B Gardner, M Maunder, CW Berg, M Brooks, L Comita, ...
Methods in Ecology and Evolution 4 (6), 501-512, 2013
Warming and provenance limit tree recruitment across and beyond the elevation range of subalpine forest
LM Kueppers, E Conlisk, C Castanha, AB Moyes, MJ Germino, ...
Global Change Biology 23 (6), 2383-2395, 2017
Detecting pest control services across spatial and temporal scales
R Chaplin-Kramer, P de Valpine, NJ Mills, C Kremen
Agriculture, Ecosystems & Environment 181, 206-212, 2013
Effects of weather and climate on the dynamics of animal population time series
J Knape, P de Valpine
Proceedings of the Royal Society B: Biological Sciences 278 (1708), 985-992, 2011
Continental water recycling and H218O concentrations
RD Koster, DP De Valpine, J Jouzel
Geophysical Research Letters 20 (20), 2215-2218, 1993
Better inferences from population‐dynamics experiments using Monte Carlo state‐space likelihood methods
P De Valpine
Ecology 84 (11), 3064-3077, 2003
Review of methods for fitting time-series models with process and observation error and likelihood calculations for nonlinear, non-Gaussian state-space models
P de Valpine
Bulletin of Marine Science 70 (2), 455-471, 2002
State-space likelihoods for nonlinear fisheries time-series
P Valpine, R Hilborn
Canadian Journal of Fisheries and Aquatic Sciences 62 (9), 1937-1952, 2005
Climate and edaphic controllers influence rhizosphere community assembly for a wild annual grass
EE Nuccio, J Anderson‐Furgeson, KY Estera, J Pett‐Ridge, P De Valpine, ...
Ecology 97 (5), 1307-1318, 2016
Monte Carlo state-space likelihoods by weighted posterior kernel density estimation
P De Valpine
Journal of the American Statistical Association 99 (466), 523-536, 2004
The fire frequency analysis branch of the pyrostatistics tree: sampling decisions and censoring in fire interval data
MA Moritz, TJ Moody, LJ Miles, MM Smith, P de Valpine
Environmental and Ecological Statistics 16 (2), 271-289, 2009
A robust‐design formulation of the incidence function model of metapopulation dynamics applied to two species of rails
BB Risk, P De Valpine, SR Beissinger
Ecology 92 (2), 462-474, 2011
Likelihood ridges and multimodality in population growth rate models
L Polansky, P De Valpine, JO Lloyd-Smith, WM Getz
Ecology 90 (8), 2313-2320, 2009
The importance of individual developmental variation in stage‐structured population models
P de Valpine, K Scranton, J Knape, K Ram, NJ Mills
Ecology Letters 17 (8), 1026-1038, 2014
Estimating population impacts via dynamic occupancy analysis of Before–After Control–Impact studies
VD Popescu, P De Valpine, D Tempel, MZ Peery
Ecological Applications 22 (4), 1389-1404, 2012
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