Daniel Edward Pagendam
Daniel Edward Pagendam
Senior Research Scientist, CSIRO
Verified email at csiro.au - Homepage
Cited by
Cited by
Conceptualisation and application of models for groundwater–surface water interactions and nitrate attenuation potential in riparian zones
DW Rassam, DE Pagendam, HM Hunter
Environmental Modelling & Software 23 (7), 859-875, 2008
On parameter estimation in population models II: multi-dimensional processes and transient dynamics
JV Ross, DE Pagendam, PK Pollett
Theoretical Population Biology 75 (2-3), 123-132, 2009
Streamflow rating uncertainty: Characterisation and impacts on model calibration and performance
JL Peña-Arancibia, Y Zhang, DE Pagendam, NR Viney, J Lerat, ...
Environmental Modelling & Software 63, 32-44, 2015
Reliability of marine faunal detections in drone-based monitoring
AP Colefax, PA Butcher, DE Pagendam, BP Kelaher
Ocean & coastal management 174, 108-115, 2019
Setting the stage for a global-scale trophic analysis of marine top predators: a multi-workshop review
JW Young, RJ Olson, F Ménard, PM Kuhnert, LM Duffy, V Allain, ...
Reviews in Fish Biology and Fisheries 25 (1), 261-272, 2015
Managing riparian lands to improve water quality: optimising nitrate removal via denitrification
H Hunter, ...
Cooperative Research Centre for Coastal Zone, Estuary and Waterway Management, 2006
Development of a multiplexed bead-based suspension array for the detection and discrimination of pospiviroid plant pathogens
SL van Brunschot, JHW Bergervoet, DE Pagendam, M de Weerdt, ...
PloS one 9 (1), e84743, 2014
A regolith depth map of the Australian continent
JR Wilford, R Searle, M Thomas, D Pagendam, MJ Grundy
Geoderma 266, 1-13, 2016
A bead-based suspension array for the multiplexed detection of begomoviruses and their whitefly vectors
SL Van Brunschot, JHW Bergervoet, DE Pagendam, M de Weerdt, ...
Journal of virological methods 198, 86-94, 2014
Optimal sampling and problematic likelihood functions in a simple population model
DE Pagendam, PK Pollett
Environmental Modeling & Assessment 14 (6), 759-767, 2009
The Riparian Nitrogen Model: basic theory and conceptualisation
DW Rassam, D Pagendam, H Hunter
CRC for Catchment Hydrology Technical Report 5 (9), 38, 2005
Rethinking soil carbon modelling: a stochastic approach to quantify uncertainties
D Clifford, D Pagendam, J Baldock, N Cressie, R Farquharson, M Farrell, ...
Environmetrics 25 (4), 265-278, 2014
Emulator-enabled approximate Bayesian computation (ABC) and uncertainty analysis for computationally expensive groundwater models
T Cui, L Peeters, D Pagendam, T Pickett, H Jin, RS Crosbie, M Raiber, ...
Journal of hydrology 564, 191-207, 2018
Locally optimal designs for the simple death process
DE Pagendam, PK Pollett
Journal of Statistical Planning and Inference 140 (11), 3096-3105, 2010
Assimilating catchment processes with monitoring data to estimate sediment loads to the Great Barrier Reef
DE Pagendam, PM Kuhnert, WB Leeds, CK Wikle, R Bartley, EE Peterson
Environmetrics 25 (4), 214-229, 2014
Optimal Design of Experimental Epidemics
PK Pagendam, D.E. and Pollett
Journal of Statistical Planning and Inference, 2013
Development and application of the Riparian Mapping Tool to identify priority rehabilitation areas for nitrogen removal in the Tully–Murray basin, Queensland, Australia
DW Rassam, D Pagendam
Marine and Freshwater Research 60 (11), 1165-1175, 2009
Design of optimal groundwater monitoring well network using stochastic modeling and reduced‐rank spatial prediction
J Sreekanth, H Lau, DE Pagendam
Water Resources Research 53 (8), 6821-6840, 2017
Optimal use of GPS transmitter for estimating species migration rate
DE Pagendam, JV Ross
Ecological modelling 249, 37-41, 2013
Robust optimal observation of a metapopulation
DE Pagendam, PK Pollett
Ecological modelling 221 (21), 2521-2525, 2010
The system can't perform the operation now. Try again later.
Articles 1–20