Erratum: Modeling individual-tree growth from data with highly irregular measurement intervals (Forest Science (2006) 52, 2 (198-208))

Research output: Contribution to journalComment/debateResearchpeer-review

Standard

Erratum : Modeling individual-tree growth from data with highly irregular measurement intervals (Forest Science (2006) 52, 2 (198-208)). / Nord-Larsen, T.

In: Forest Science, Vol. 52, No. 5, 01.10.2006.

Research output: Contribution to journalComment/debateResearchpeer-review

Harvard

Nord-Larsen, T 2006, 'Erratum: Modeling individual-tree growth from data with highly irregular measurement intervals (Forest Science (2006) 52, 2 (198-208))', Forest Science, vol. 52, no. 5.

APA

Nord-Larsen, T. (2006). Erratum: Modeling individual-tree growth from data with highly irregular measurement intervals (Forest Science (2006) 52, 2 (198-208)). Forest Science, 52(5).

Vancouver

Nord-Larsen T. Erratum: Modeling individual-tree growth from data with highly irregular measurement intervals (Forest Science (2006) 52, 2 (198-208)). Forest Science. 2006 Oct 1;52(5).

Author

Nord-Larsen, T. / Erratum : Modeling individual-tree growth from data with highly irregular measurement intervals (Forest Science (2006) 52, 2 (198-208)). In: Forest Science. 2006 ; Vol. 52, No. 5.

Bibtex

@article{5e1be75acd8a4a3cbf093fff5dcdf256,
title = "Erratum: Modeling individual-tree growth from data with highly irregular measurement intervals (Forest Science (2006) 52, 2 (198-208))",
author = "T. Nord-Larsen",
year = "2006",
month = oct,
day = "1",
language = "English",
volume = "52",
journal = "Forest Science",
issn = "0015-749X",
publisher = "Society of American Foresters",
number = "5",

}

RIS

TY - JOUR

T1 - Erratum

T2 - Modeling individual-tree growth from data with highly irregular measurement intervals (Forest Science (2006) 52, 2 (198-208))

AU - Nord-Larsen, T.

PY - 2006/10/1

Y1 - 2006/10/1

UR - http://www.scopus.com/inward/record.url?scp=33751102105&partnerID=8YFLogxK

M3 - Comment/debate

AN - SCOPUS:33751102105

VL - 52

JO - Forest Science

JF - Forest Science

SN - 0015-749X

IS - 5

ER -

ID: 241937030