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John A. Kershaw

Affiliations: 
University of New Brunswick (Canada) 
Area:
Forestry and Wildlife Agriculture, Wood Technology Agriculture, Agricultural Economics
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"John Kershaw"
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Publications

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Li W, Kershaw JA, Costanza KKL, et al. (2020) Evaluating the potential of red spruce (Picea rubens Sarg.) to persist under climate change using historic provenance trials in eastern Canada Forest Ecology and Management. 466: 118139
Kuehne C, Russell MB, Weiskittel AR, et al. (2020) Comparing strategies for representing individual-tree secondary growth in mixed-species stands in the Acadian Forest region Forest Ecology and Management. 459: 117823
Lin H, Lam TY, von Gadow K, et al. (2020) Effects of nested plot designs on assessing stand attributes, species diversity, and spatial forest structures Forest Ecology and Management. 457: 117658
Hsu Y, Chen Y, Yang T, et al. (2020) Sample strategies for bias correction of regional LiDAR-assisted forest inventory Estimates on small woodlots Annals of Forest Science. 77: 1-12
Chen Y, Yang T, Hsu Y, et al. (2019) Application of big BAF sampling for estimating carbon on small woodlots Forest Ecosystems. 6: 1-11
Yang T, Kershaw JA, Weiskittel AR, et al. (2019) Influence of sample selection method and estimation technique on sample size requirements for wall-to-wall estimation of volume using airborne LiDAR Forestry: An International Journal of Forest Research. 92: 311-323
Ayrey E, Hayes DJ, Fraver S, et al. (2019) Ecologically-Based Metrics for Assessing Structure in Developing Area-Based, Enhanced Forest Inventories from LiDAR Canadian Journal of Remote Sensing. 45: 88-112
Krasowski MJ, Lavigne MB, Szuter MA, et al. (2018) Age-related changes in survival and turnover rates of balsam fir (Abies balsamea (L.) Mill.) fine roots. Tree Physiology
MacPhee C, Kershaw JA, Weiskittel AR, et al. (2018) Comparison of approaches for estimating individual tree height–diameter relationships in the Acadian forest region Forestry. 91: 132-146
Ver Planck NR, Finley AO, Kershaw JA, et al. (2018) Hierarchical Bayesian models for small area estimation of forest variables using LiDAR Remote Sensing of Environment. 204: 287-295
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