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 | 247 | 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 | 112 | 2009 |
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 | 108 | 2015 |
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 | 92 | 2017 |
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 | 77 | 2000 |
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 | 64 | 1999 |
Over half of western United States' most abundant tree species in decline H Stanke, AO Finley, GM Domke, AS Weed, DW MacFarlane Nature Communications 12 (1), 451, 2021 | 61 | 2021 |
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 | 60 | 2006 |
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 | 55 | 2011 |
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 | 50 | 2012 |
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 | 42 | 2012 |
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, 1-12, 2014 | 41 | 2014 |
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, 807-817, 2014 | 38 | 2014 |
A generalized tree component biomass model derived from principles of variable allometry DW MacFarlane Forest Ecology and Management 354, 43-55, 2015 | 36 | 2015 |
Bayesian synthesis for quantifying uncertainty in predictions from process models EJ Green, DW MacFarlane, HT Valentine Tree Physiology 20 (5-6), 415-419, 2000 | 35 | 2000 |
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 | 34 | 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 | 34 | 2009 |
Incorporating uncertainty into the parameters of a forest process model DW MacFarlane, EJ Green, HT Valentine Ecological Modelling 134 (1), 27-40, 2000 | 34 | 2000 |
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 | 33 | 2006 |
A new method for capturing stem taper variation for trees of diverse morphological types DW MacFarlane, AR Weiskittel Canadian Journal of Forest Research 46 (6), 804-815, 2016 | 30 | 2016 |