| Characteristics and distribution of potential ash tree hosts for emerald ash borer DW MacFarlane, SP Meyer Forest Ecology and Management 213 (1-3), 15-24, 2005 | 199 | 2005 |
| Potential availability of urban wood biomass in Michigan: Implications for energy production, carbon sequestration and sustainable forest management in the USA DW MacFarlane Biomass and Bioenergy 33 (4), 628-634, 2009 | 78 | 2009 |
| Population density influences assessment and application of site index DW MacFarlane, EJ Green, HE Burkhart Canadian Journal of Forest Research 30 (9), 1472-1475, 2000 | 63 | 2000 |
| A call to improve methods for estimating tree biomass for regional and national assessments AR Weiskittel, DW MacFarlane, PJ Radtke, DLR Affleck, H Temesgen, ... Journal of Forestry 113 (4), 414-424, 2015 | 61 | 2015 |
| Assessing uncertainty in a stand growth model by Bayesian synthesis EJ Green, DW MacFarlane, HT Valentine, WE Strawderman Forest science 45 (4), 528-538, 1999 | 60 | 1999 |
| Selecting models for capturing tree-size effects on growth resource relationships DW MacFarlane, RK Kobe Canadian Journal of Forest Research 36 (7), 1695-1704, 2006 | 49 | 2006 |
| Evaluating the biomass production of coppiced willow and poplar clones in Michigan, USA, over multiple rotations and different growing conditions Z Wang, DW MacFarlane biomass and bioenergy 46, 380-388, 2012 | 42 | 2012 |
| A hierarchical model for quantifying forest variables over large heterogeneous landscapes with uncertain forest areas AO Finley, S Banerjee, DW MacFarlane Journal of the American Statistical Association 106 (493), 31-48, 2011 | 36 | 2011 |
| Comparing field-and model-based standing dead tree carbon stock estimates across forests of the US CW Woodall, GM Domke, DW Macfarlane, CM Oswalt Forestry 85 (1), 125-133, 2012 | 34 | 2012 |
| Incorporating uncertainty into the parameters of a forest process model DW MacFarlane, EJ Green, HT Valentine Ecological Modelling 134 (1), 27-40, 2000 | 30 | 2000 |
| Bayesian synthesis for quantifying uncertainty in predictions from process models EJ Green, DW MacFarlane, HT Valentine Tree Physiology 20 (5-6), 415-419, 2000 | 30 | 2000 |
| Modeling larval malaria vector habitat locations using landscape features and cumulative precipitation measures RS McCann, JP Messina, DW MacFarlane, MN Bayoh, JM Vulule, ... International journal of health geographics 13 (1), 17, 2014 | 27 | 2014 |
| Regional Stem Profile Model for Cross-Border Comparisons of Harvested Red Pine (Pinus resinosa Ait.) in Ontario and Michigan WT Zakrzewski, DW MacFarlane Forest Science 52 (4), 468-475, 2006 | 27 | 2006 |
| Neighbour effects on tree architecture: functional trade‐offs balancing crown competitiveness with wind resistance DW MacFarlane, B Kane Functional Ecology 31 (8), 1624-1636, 2017 | 26 | 2017 |
| Evaluating a non-destructive method for calibrating tree biomass equations derived from tree branching architecture DW MacFarlane, S Kuyah, R Mulia, J Dietz, C Muthuri, M Van Noordwijk Trees 28 (3), 807-817, 2014 | 25 | 2014 |
| Modeling loblolly pine canopy dynamics for a light capture model DW MacFarlane, EJ Green, A Brunner, RL Amateis Forest Ecology and Management 173 (1-3), 145-168, 2003 | 25 | 2003 |
| A generalized tree component biomass model derived from principles of variable allometry DW MacFarlane Forest Ecology and Management 354, 43-55, 2015 | 23 | 2015 |
| Predicting survival and growth rates for individual loblolly pine trees from light capture estimates DW MacFarlane, EJ Green, A Brunner, HE Burkhart Canadian Journal of Forest Research 32 (11), 1970-1983, 2002 | 23 | 2002 |
| Modelling vertical allocation of tree stem and branch volume for hardwoods NR Ver Planck, DW MacFarlane Forestry: An International Journal of Forest Research 87 (3), 459-469, 2014 | 20 | 2014 |
| Quantifying tree and forest bark structure with a bark-fissure index DW MacFarlane, A Luo Canadian Journal of Forest Research 39 (10), 1859-1870, 2009 | 20 | 2009 |
