Randomized Branch Sampling Articles (32 Entries) Biometrics

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RBS Biblio.docx
© 2014, Timothy G. Gregoire, Yale University
Last revised: May 2014
Randomized Branch Sampling Articles
(32 Entries)
1. Jessen, R. J. (1955) Determining the fruit count on a tree by randomized branch
sampling. Biometrics 11: 99-109.
2. Marshall, A. W. (1955) A note on randomized branch sampling. The RAND Corporation,
Note P-725.
3. Pearce, S. C. & Holland, D. A. (1957) Randomized branch sampling for estimating fruit
number. Biometrics 13(20 127-130.
4. Furness, G. O. (1976) The dispersal, age-structure and natural enemies of the long-tailed
Mealybug, Pseudococcus longispinus (Targoni-Tozzetti) in relation to sampling and
control. Australian Journal of Zoology 24: 237-247.
5. Valentine, H. T. & Hilton, S. J. (1977) Sampling oak foliage by the randomized-branch
method. Canadian Journal of Forest Research 7: 295-298.
6. Maillette, L. (1982) Structural dynamics of silver birch: I. The fate of buds. Journal of
Applied Ecology 19: 203-218
7. Valentine, H. T., Tritton, L. M. & Furnival, G. M. (1984) Subsampling trees for biomass,
volume, or mineral content. Forest Science 30(3) 673-681.
8. Kumar, E. V., Srivenkataramana & Sundararaj, N. (1985) Branch sampling for estimating
the number of fruit on a tree. Journal of the American Society for Horticultural Science
110(3) 451-454.
9. DeGier, A. (1989) Woody biomass for fuel: estimating the supply in natural woodlands
and shrublands. International Institute for Aerospace Survey and Earth Sciences (ITC).
The Netherlands. ITC Publication Number 9.
10. Williams, R. A. (1989) use of randomized branch and importance sampling to estimate
loblolly pine biomass. Southern Journal of Applied Forestry 13(4) 181-184.
11. Audergon, J-M., Monestiez, P. & Habib, R. (1993) Spatial dependencies and sampling in
a fruit tree: an new concept for spatial prediction. Journal of Horticultural Science 68(1)
99-112.
12. Rosenbaum, P. R. (1993) Sampling the leaves of a tree with equal probabilities. Journal
of the American Statistical Association 88: 1455-1457.
RBS Biblio.docx
© 2014, Timothy G. Gregoire, Yale University
13. Valentine, H. Y., Baldwin Jr., V. C., Gregoire, T. G. & Burkhart, H. E. (1994) Surrogates
for foliar dry matter in loblolly pine. Forest Science 40(3) 576-585.
14. Gregoire, T. G., Valentine, H. T. & Furnival, G. M. (1995) Sampling methods to estimate
foliage and other characteristics of individual trees. Ecology 76(4) 1181-1194.
15. Heinze, J. (1996) Final Project report for FOR5214 Advanced Sampling. Virginia
Polytechnic Institute & State University. 7 p.
16. Raulier, F. & Ung, C-H. (1997) Influence of shading on the relationship between leaf
area and crown surface area in sugar maple stands. Ecological Modelling 104: 51-69.
17. Peper, P. J. & McPherson, E. G. (1998) Comparison of four foliar and woody biomass
estimation methods applied to open-grown trees. Journal of Arboriculture 234(4) 191200.
18. Raulier, F., Ung, C-H. & Begin, J. (1998) Analytical estimation of branchwood volume
in sugar maple, linked to branchiness. Trees 12: 395-405.
19. Gaffrey, D. & Saborowski, J. (1999) RBS, ein mehrstufiges Inventurverfahren zur
Schätzung von Baummerkmalen. I. Schätzung von Nadel-und Astrockenmasses bei 66jährigen Douglasien. Allgemeine Forst-und Jagdzeitung 170: 177-183.
20. Kübner, R. & Mosandi, R. (2000) Comparison of direct and indirect estimation of leaf
area index in mature Norway spruce stands of eastern Germany. Canadian Journal of
Forest Research 30: 440-447.
21. Temesgen, H. (2003) Evaluation of sampling alternatives to quantify tree leaf area.
Canadian Journal of Forest Research 33: 82-95.
22. Cancino, J. & Saborowski, J. (2005) Comparison of randomized branch sampling with
and without replacement at the first stage. Silva Fennica 39(2) 201-216.
23. Cancino, J. & Saborowski, J. (2007) Improving RBS estimates – effects of the auxiliary
variable, stratification of the crown, and deletion of segments on the precision of
estimates. Journal of Forest Science 53: 320-333.
24. Evans, A. M. & Gregoire, T. G. (2007). The tree crown distribution of hemlock woolly adelgid,
Adelges tsugae (Homoptera:Adelgidae) from randomized branch sampling. Journal of Applied
Entomology 131(1) 26-33.
25. Gregoire, T. G. & Valentine, H. T. (2008) Sampling Strategies for Natural Resources and the
Environment. Chapman & Hall/CRC. 474 p.
RBS Biblio.docx
© 2014, Timothy G. Gregoire, Yale University
26. Ducey, M. J., Zarin, D. J., Vasconcelos, S. S. & Araújo, M. M. (2009) Biomass equations
for forest regrowth in the eastern Amazon using randomized branch sampling. Acta
Amazonica 39(2) 349-360.
27. Heithecker, T. (2010) Region 6 biomass sampling protocol. FMSC Fort Collins,
Colorado. 8p.
28. Hietz, P., Otto, E. & Sterba, H. (2010) Leaf area of beech (Fagus sylvatica L.) from
different stands in eastern Austria studied by randomized branch sampling. European
Journal of Forest Research 129: 401-408.
29. Schlecht, R. M. (2011) Application of randomized branch sampling to confier trees:
estimating crown biomass. The University of Montana, thesis for Master of Science
degree.
30. Bascietto, M., de Cinti, B., Matteucci, G. & Cescatti, A. (2012) Biometric assessment of
aboveground carbon pools ad fluxes in three European forests by randomized branch
sampling. Forest Ecology & Management 267: 172-181.
31. Özçelik, R. & Eraslan, T. (2012) Two-stage sampling to estimate individual tree biomass.
Turkish Journal of Agriculture and Forestry 36: 389-398.
32. Chirici, G., Puletti, N., Salvati, R., Arbi, F., Zolli, C. & Corona, P. (2014) Is randomized
branch sampling suitable to assess wood volume of temperate broadleaved old-growth
forests? Forest Ecology & Management 312: 225-230.
33. Schlecht, R. M. & Affleck, D. L. R. (2014) Branch aggregation and crown allometry
condition precision of randomized branch sampling estimators of conifer crown mass.
Canadian Journal of Forest Research 44: 499-508.
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