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David W. MacFarlane, Ph.D. - Publications

Affiliations: 
2001 Rutgers University, New Brunswick, New Brunswick, NJ, United States 
Area:
Ecology Biology, Forestry and Wildlife Agriculture
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38 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Dettmann GT, MacFarlane DW, Radtke PJ, Weiskittel AR, Affleck DLR, Poudel KP, Westfall J. Testing a generalized leaf mass estimation method for diverse tree species and climates of the continental United States. Ecological Applications : a Publication of the Ecological Society of America. e2646. PMID 35524985 DOI: 10.1002/eap.2646  0.396
2021 Stanke H, Finley AO, Domke GM, Weed AS, MacFarlane DW. Over half of western United States' most abundant tree species in decline. Nature Communications. 12: 451. PMID 33469023 DOI: 10.1038/s41467-020-20678-z  0.332
2021 Arseniou G, MacFarlane DW. Fractal dimension of tree crowns explains species functional-trait responses to urban environments at different scales. Ecological Applications : a Publication of the Ecological Society of America. e2297. PMID 33427362 DOI: 10.1002/eap.2297  0.323
2019 David HC, MacFarlane DW, Péllico Netto S, Corte APD, Piotto D, de Oliveira YMM, Morais VA, Sanquetta CR, Neto RPM. Exploring coarse- to fine-scale approaches for mapping and estimating forest volume from Brazilian National Forest Inventory data Forestry: An International Journal of Forest Research. 92: 577-590. DOI: 10.1093/Forestry/Cpz030  0.431
2019 Ver Planck NR, MacFarlane DW. Branch mass allocation increases wind throw risk for Fagus grandifolia Forestry: An International Journal of Forest Research. 92: 490-499. DOI: 10.1093/Forestry/Cpz001  0.368
2018 Dettmann GT, MacFarlane DW. Trans-species predictors of tree leaf mass. Ecological Applications : a Publication of the Ecological Society of America. PMID 30326541 DOI: 10.1002/Eap.1817  0.466
2018 Clough BJ, Domke GM, MacFarlane DW, Radtke PJ, Russell MB, Weiskittel AR. Testing a new component ratio method for predicting total tree aboveground and component biomass for widespread pine and hardwood species of eastern US Forestry: An International Journal of Forest Research. 91: 575-588. DOI: 10.1093/Forestry/Cpy016  0.477
2018 Frank J, Castle ME, Westfall JA, Weiskittel AR, MacFarlane DW, Baral SK, Radtke PJ, Pelletier G. 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 Forestry: An International Journal of Forest Research. 91: 382-399. DOI: 10.1093/Forestry/Cpx054  0.499
2017 McCann RS, Messina JP, MacFarlane DW, Bayoh MN, Gimnig JE, Giorgi E, Walker ED. Explaining variation in adult Anopheles indoor resting abundance: the relative effects of larval habitat proximity and insecticide-treated bed net use. Malaria Journal. 16: 288. PMID 28716087 DOI: 10.1186/S12936-017-1938-1  0.323
2017 MacFarlane DW, Kane B. Neighbour effects on tree architecture: functional trade‐offs balancing crown competitiveness with wind resistance Functional Ecology. 31: 1624-1636. DOI: 10.1111/1365-2435.12865  0.446
2017 David HC, Araújo EJGd, Morais VA, Scolforo JRS, Marques JM, Péllico Netto S, MacFarlane DW. Carbon stock classification for tropical forests in Brazil: Understanding the effect of stand and climate variables Forest Ecology and Management. 404: 241-250. DOI: 10.1016/J.Foreco.2017.08.044  0.424
2016 MacFarlane DW, Weiskittel AR. A new method for capturing stem taper variation for trees of diverse morphological types Canadian Journal of Forest Research. 46: 804-815. DOI: 10.1139/Cjfr-2016-0018  0.387
2016 Radtke P, Walker D, Frank J, Weiskittel A, DeYoung C, MacFarlane D, Domke G, Woodall C, Coulston J, Westfall J. Improved accuracy of aboveground biomass and carbon estimates for live trees in forests of the eastern United States Forestry. 90: 32-46. DOI: 10.1093/Forestry/Cpw047  0.5
2015 Weiskittel AR, MacFarlane DW, Radtke PJ, Affleck DLR, Temesgen H, Woodall CW, Westfall JA, Coulston JW. A call to improve methods for estimating tree biomass for regional and national assessments Journal of Forestry. 113: 414-424. DOI: 10.5849/Jof.14-091  0.551
2015 MacFarlane DW. A generalized tree component biomass model derived from principles of variable allometry Forest Ecology and Management. 354: 43-55. DOI: 10.1016/J.Foreco.2015.06.038  0.551
2015 MacFarlane DW, Kinzer AT, Banks JE. Coupled human-natural regeneration of indigenous coastal dry forest in Kenya Forest Ecology and Management. 354: 149-159. DOI: 10.1016/J.Foreco.2015.06.026  0.462
2015 Ver Planck NR, MacFarlane DW. A vertically integrated whole-tree biomass model Trees - Structure and Function. 29: 449-460. DOI: 10.1007/S00468-014-1123-X  0.52
2014 McCann RS, Messina JP, MacFarlane DW, Bayoh MN, Vulule JM, Gimnig JE, Walker ED. Modeling larval malaria vector habitat locations using landscape features and cumulative precipitation measures. International Journal of Health Geographics. 13: 17. PMID 24903736 DOI: 10.1186/1476-072X-13-17  0.361
2014 Ver Planck NR, MacFarlane DW. Modelling vertical allocation of tree stem and branch volume for hardwoods Forestry. 87: 459-469. DOI: 10.1093/Forestry/Cpu007  0.469
2014 MacFarlane DW, Kuyah S, Mulia R, Dietz J, Muthuri C, Van Noordwijk M. Evaluating a non-destructive method for calibrating tree biomass equations derived from tree branching architecture Trees - Structure and Function. 28: 807-817. DOI: 10.1007/S00468-014-0993-2  0.439
2013 An HS, MacFarlane DW. Comparing a new model-based method to fixed-area sampling for estimating the abundance of standing dead trees Forestry. 86: 231-239. DOI: 10.1093/Forestry/Cps079  0.458
2012 Woodall CW, Domke GM, MacFarlane DW, Oswalt CM. Comparing field-and model-based standing dead tree carbon stock estimates across forests of the US Forestry. 85: 125-133. DOI: 10.1093/Forestry/Cpr065  0.441
2012 Wang Z, MacFarlane DW. Evaluating the biomass production of coppiced willow and poplar clones in Michigan, USA, over multiple rotations and different growing conditions Biomass and Bioenergy. 46: 380-388. DOI: 10.1016/J.Biombioe.2012.08.003  0.356
2011 Finley AO, Banerjee S, MacFarlane DW. A Hierarchical Model for Quantifying Forest Variables Over Large Heterogeneous Landscapes With Uncertain Forest Areas. Journal of the American Statistical Association. 106: 31-48. PMID 26139950 DOI: 10.1198/Jasa.2011.Ap09653  0.484
2011 MacFarlane DW. Allometric scaling of large branch volume in hardwood trees in Michigan, USA: Implications for aboveground forest carbon stock inventories Forest Science. 57: 451-459.  0.362
2009 MacFarlane DW, Luo A. Quantifying tree and forest bark structure with a bark-fissure index Canadian Journal of Forest Research. 39: 1859-1870. DOI: 10.1139/X09-098  0.333
2009 MacFarlane DW. Potential availability of urban wood biomass in Michigan: Implications for energy production, carbon sequestration and sustainable forest management in the U.S.A Biomass and Bioenergy. 33: 628-634. DOI: 10.1016/J.Biombioe.2008.10.004  0.371
2006 MacFarlane DW, Kobe RK. Selecting models for capturing tree-size effects on growth-resource relationships Canadian Journal of Forest Research. 36: 1695-1704. DOI: 10.1139/X06-054  0.423
2006 Zakrzewski WT, MacFarlane DW. Regional stem profile model for cross-border comparisons of harvested red pine (Pinus resinosa Ait.) in Ontario and Michigan Forest Science. 52: 468-475.  0.342
2005 MacFarlane DW, Meyer SP. Characteristics and distribution of potential ash tree hosts for emerald ash borer Forest Ecology and Management. 213: 15-24. DOI: 10.1016/J.Foreco.2005.03.013  0.421
2003 MacFarlane DW, Green EJ, Brunner A, Amateis RL. Modeling loblolly pine canopy dynamics for a light capture model Forest Ecology and Management. 173: 145-168. DOI: 10.1016/S0378-1127(02)00011-7  0.721
2002 MacFarlane DW, Green EJ, Brunner A, Burkhart HE. Predicting survival and growth rates for individual loblolly pine trees from light capture estimates Canadian Journal of Forest Research. 32: 1970-1983. DOI: 10.1139/X02-125  0.705
2000 Green EJ, MacFarlane DW, Valentine HT. Bayesian synthesis for quantifying uncertainty in predictions from process models. Tree Physiology. 20: 415-419. PMID 12651457 DOI: 10.1093/Treephys/20.5-6.415  0.689
2000 Macfarlane DW, Green EJ, Burkhart HE. Population density influences assessment and application of site index Canadian Journal of Forest Research. 30: 1472-1475. DOI: 10.1139/X00-079  0.663
2000 MacFarlane DW, Green EJ, Valentine HT. Incorporating uncertainty into the parameters of a forest process model Ecological Modelling. 134: 27-40. DOI: 10.1016/S0304-3800(00)00329-X  0.699
2000 Green EJ, MacFarlane DW, Valentine HT. Bayesian synthesis for quantifying uncertainty in predictions from process models Tree Physiology. 20: 415-419.  0.441
1999 Green EJ, MacFarlane DW, Valentine HT, Strawderman WE. Assessing uncertainty in a stand growth model by Bayesian synthesis Forest Science. 45: 528-538. DOI: 10.1093/Forestscience/45.4.528  0.712
1999 Valentine HT, Amateis RL, Burkhart HE, Gregoire TG, Hollinger DY, MacFarlane DW. Projecting the Growth of Loblolly Pine in a Changing Atmosphere Southern Journal of Applied Forestry. 23: 212-216.  0.309
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