D. MacFarlane

发表

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 .

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.

Exploring coarse- to fine-scale approaches for mapping and estimating forest volume from Brazilian National Forest Inventory data

C. Sanquetta, A. Corte, D. MacFarlane, 2019, Forestry: An International Journal of Forest Research.

A vertically integrated whole-tree biomass model

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

Potential availability of urban wood biomass in Michigan: Implications for energy production, carbon sequestration and sustainable forest management in the U.S.A.

David W. MacFarlane, D. MacFarlane, 2009 .

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

E. Walker, J. Messina, R. McCann, 2017, Malaria Journal.

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 .

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

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

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

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

Branch mass allocation increases wind throw risk for Fagus grandifolia

D. MacFarlane, Neil R. Ver Planck, 2019, Forestry: An International Journal of Forest Research.

Evaluating a non-destructive method for calibrating tree biomass equations derived from tree branching architecture

D. MacFarlane, M. Noordwijk, R. Mulia, 2014, Trees.

Gaps in available data for modeling tree biomass in the United States

David L. R. Affleck, J. Coulston, P. Radtke, 2019 .

Quantifying Urban Saw Timber Abundance and Quality in Southeastern Lower Michigan, U.S.

D. MacFarlane, 2007 .

Regional stem profile model for cross-border comparisons of harvested red pine (Pinus resinosa Ait.) in Ontario and Michigan

D. MacFarlane, W. Zakrzewski, 2006 .

Predicting branch to bole volume scaling relationships from varying centroids of tree bole volume

D. MacFarlane, 2010 .

GAPS IN SAMPLING AND LIMITATIONS TO TREE BIOMASS ESTIMATION: A REVIEW OF PAST SAMPLING EFFORTS OVER THE PAST 50 YEARS

David L. R. Affleck, P. Radtke, D. MacFarlane, 2015 .

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

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

Improved prediction of hardwood tree biomass derived from wood density estimates and form factors for whole trees

D. MacFarlane, Neil R. Ver Planck, 2012 .

A vertically integrated whole-tree biomass model

D. MacFarlane, Neil R. Ver Planck, 2015, Trees.

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.

The zero inflation of standing dead tree carbon stocks

D. MacFarlane, C. Woodall, 2012 .

Biomass measurement and modeling challenges for hardwood species in the northern region

D. MacFarlane, A. Weiskittel, J. Westfall, 2012 .

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 .

Quantifying tree and forest bark structure with a bark-fissure index

D. MacFarlane, Aidong Luo, 2009 .

Functional Relationships Between Branch and Stem Wood Density for Temperate Tree Species in North America

D. MacFarlane, 2020, Frontiers in Forests and Global Change.

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

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

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

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

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 .

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 .

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

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

Modeling loblolly pine canopy dynamics for a light capture model

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

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.

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 .

Projecting the Growth of Loblolly Pine in a Changing Atmosphere

Harold E. Burkhart, Timothy G. Gregoire, Harry T. Valentine, 1999 .

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..

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

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

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 .

Modeling larval malaria vector habitat locations using landscape features and cumulative precipitation measures

E. Walker, J. Messina, R. McCann, 2014, International Journal of Health Geographics.

Modelling vertical allocation of tree stem and branch volume for hardwoods

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

Climate-Smart Forestry: Promise and risks for forests, society, and climate

D. MacFarlane, Lauren Cooper, 2023, PLOS Climate.

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

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

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 .

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 .

Advancing individual tree biomass prediction: assessment and alternatives to the component ratio method

James A. Westfall, Aaron R. Weiskittel, David Walker, 2015 .

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

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

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..

Fractal dimension of tree crowns explains species functional-trait responses to urban environments at different scales.

D. MacFarlane, G. Arseniou, 2021, Ecological applications : a publication of the Ecological Society of America.

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.

Assessing Uncertainty in a Stand Growth Model by Bayesian Synthesis

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

Incorporating uncertainty into the parameters of a forest process model

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

Bayesian synthesis for quantifying uncertainty in predictions from process models.

Harry T. Valentine, Edwin J. Green, David W. MacFarlane, 2000, Tree physiology.

Assessing uncertainty in mechanistic models

E. Green, D. MacFarlane, H. T. Valentine, 2000 .