Folgen
David W. MacFarlane
David W. MacFarlane
Professor of Forest Measurements and Modeling, Michigan State University
Bestätigte E-Mail-Adresse bei msu.edu
Titel
Zitiert von
Zitiert von
Jahr
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
2382005
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
1102009
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
1032015
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
852017
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
762000
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
641999
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
582006
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
562021
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
542011
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
492012
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
412012
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
402014
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
382014
Incorporating uncertainty into the parameters of a forest process model
DW MacFarlane, EJ Green, HT Valentine
Ecological Modelling 134 (1), 27-40, 2000
352000
Bayesian synthesis for quantifying uncertainty in predictions from process models
EJ Green, DW MacFarlane, HT Valentine
Tree Physiology 20 (5-6), 415-419, 2000
352000
A generalized tree component biomass model derived from principles of variable allometry
DW MacFarlane
Forest Ecology and Management 354, 43-55, 2015
342015
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
332014
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
332009
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
332006
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
292002
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20