D. W. MacFarlane

发表

Defining stem profile model for wood valuation of red pine in Ontario and Michigan with consideration of stand density influence on tree taper

W. T. Zakrzewski, M. Penner, D. W. MacFarlane, 2007 .

Modeling loblolly pine canopy dynamics for a light capture model

D. W. MacFarlane, E. Green, D. MacFarlane, 2003 .

Accuracy differences in aboveground woody biomass estimation with terrestrial laser scanning for trees in urban and rural forests and different leaf conditions

D. W. MacFarlane, D. MacFarlane, K. Calders, 2023, Trees.

Woody Surface Area Measurements with Terrestrial Laser Scanning Relate to the Anatomical and Structural Complexity of Urban Trees

D. W. MacFarlane, Dominik Seidel, David W. MacFarlane, 2021, Remote. Sens..

Measuring the Contribution of Leaves to the Structural Complexity of Urban Tree Crowns with Terrestrial Laser Scanning

D. W. MacFarlane, Dominik Seidel, David W. MacFarlane, 2021, Remote. Sens..

Testing a generalized leaf mass estimation method for diverse tree species and climates of the continental United States

D. W. MacFarlane, David L. R. Affleck, P. Radtke, 2022, Ecological applications : a publication of the Ecological Society of America.

Trans-species predictors of tree leaf mass.

D. W. MacFarlane, Garret T. Dettmann, 2018, Ecological applications : a publication of the Ecological Society of America.

Predicting survival and growth rates for individual loblolly pine trees from light capture estimates

D. W. MacFarlane, E. Green, H. Burkhart, 2002 .

Over half of western United States' most abundant tree species in decline

D. W. MacFarlane, A. Finley, G. Domke, 2021, Nature Communications.

Variation in occurrence and extent of internal stem decay in standing trees across the eastern US and Canada: evaluation of alternative modelling approaches and influential factors

D. W. MacFarlane, S. K. Baral, P. Radtke, 2018 .

Selecting models for capturing tree-size effects on growth-resource relationships

D. W. MacFarlane, D. MacFarlane, R. Kobe, 2006 .

Population density influences assessment and application of site index

D. W. MacFarlane, E. Green, D. MacFarlane, 2000 .

Explaining variation in adult Anopheles indoor resting abundance: the relative effects of larval habitat proximity and insecticide-treated bed net use

D. W. MacFarlane, E. Walker, J. Messina, 2017, Malaria Journal.

Carbon stock classification for tropical forests in Brazil: Understanding the effect of stand and climate variables

D. W. MacFarlane, Jair Mendes Marques, David W. MacFarlane, 2017 .

A vertically integrated whole-tree biomass model

D. W. MacFarlane, D. MacFarlane, Neil R. Ver Planck, 2014, Trees.

A new method for capturing stem taper variation for trees of diverse morphological types

D. W. MacFarlane, D. MacFarlane, A. Weiskittel, 2016 .

Evaluating the biomass production of coppiced willow and poplar clones in Michigan, USA, over multiple rotations and different growing conditions.

D. W. MacFarlane, D. MacFarlane, Zhonglei Wang, 2012 .

Characteristics and distribution of potential ash tree hosts for emerald ash borer

D. W. MacFarlane, D. MacFarlane, S. P. Meyer, 2005 .

Coupled human-natural regeneration of indigenous coastal dry forest in Kenya

D. W. MacFarlane, J. Banks, D. MacFarlane, 2015 .

The carbon sequestration potential of ‘analog’ forestry in Ecuador: an alternative strategy for reforestation of degraded pastures

D. W. MacFarlane, D. MacFarlane, Lauren T. Cooper, 2020 .

Comparing a new model-based method to fixed-area sampling for estimating the abundance of standing dead trees

D. W. MacFarlane, H. An, D. MacFarlane, 2013 .

The improvement of precision for estimating the abundance of standing dead trees using auxiliary information under the FIA pot design

D. W. MacFarlane, H. An, D. MacFarlane, 2012 .

Comparing field- and model-based standing dead tree carbon stock estimates across forests of the US

D. W. MacFarlane, G. Domke, D. MacFarlane, 2012 .

Testing a new component ratio method for predicting total tree aboveground and component biomass for widespread pine and hardwood species of eastern US

D. W. MacFarlane, P. Radtke, G. Domke, 2018, Forestry: An International Journal of Forest Research.

A Call to Improve Methods for Estimating Tree Biomass for Regional and National Assessments

Hailemariam Temesgen, Philip J. Radtke, James A. Westfall, 2015 .

A Hierarchical Model for Quantifying Forest Variables Over Large Heterogeneous Landscapes With Uncertain Forest Areas

D. W. MacFarlane, A. Finley, Sudipto Banerjee, 2011, Journal of the American Statistical Association.

Neighbour effects on tree architecture: functional trade-offs balancing crown competitiveness with wind resistance

D. W. MacFarlane, D. MacFarlane, B. Kane, 2017 .

Incorporating uncertainty into the parameters of a forest process model

Harry T. Valentine, D. W. MacFarlane, Edwin J. Green, 2000 .

Assessing Uncertainty in a Stand Growth Model by Bayesian Synthesis

Harry T. Valentine, D. W. MacFarlane, William E. Strawderman, 1999, Forest Science.

Improved accuracy of aboveground biomass and carbon estimates for live trees in forests of the eastern United States

D. W. MacFarlane, J. Coulston, P. Radtke, 2017 .

The tropical biomass & carbon project–An application for forest biomass and carbon estimates

D. W. MacFarlane, R. Barbosa, L. Jacovine, 2022, Ecological Modelling.

A generalized tree component biomass model derived from principles of variable allometry

D. W. MacFarlane, D. MacFarlane, 2015 .