# Design-based regression estimation of net change for forest inventories

Autor(en) Mandallaz, Daniel, Massey, Alexander
Publikationstyp Zeitschriftenbeiträge, Publikationsstatus: Published
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Title Design-based regression estimation of net change for forest inventories
Author(s) Mandallaz, Daniel
Massey, Alexander
Journal or Series Title Canadian Journal of Forest Research
Volume Number 45
Issue Number 12
Start Page 1775
End Page 1784
ISSN 0045-5067
1208-6037
Publisher National Research Council of Canada
Publication Place Ottawa
Publication Date 2015
Keyword(s) Design based
Monte Carlo approach
Three-phase regression estimation
Direct and indirect net change estimation
Forest inventory
Abstract A simple design-based approach to estimating net change of a forest attribute such as timber volume is to observe the change directly on the plot level and then make that the response variable of interest using established estimation techniques such as multiphase regression estimators. This direct approach is only possible for inventories with permanent plots and is constrained to estimating net change over time periods matching the duration of the remeasurement cycle. Indirect estimation involves applying one of the aforementioned techniques to estimate the state at two time points and taking their difference. Indirect methods, although less common, are not necessarily constrained to permanent plots and can estimate net change over any desired time span for annual designs. This article compares design-based direct and indirect regression estimators under the Monte Carlo approach and illustrates their performances with data from the Swiss National Forest Inventory. The major finding is that direct estimation should be preferred whenever change is observable directly on the plot level but that multiphase indirect estimation can still improve precision when direct estimation is not possible such as for inventories employing only temporary plots.
DOI 10.1139/cjfr-2015-0266
Additional Notes Published online 29 September 2015
Document Type Artikel
Publication Status Published
Language English
Assigned Organisational Unit(s) 03331
Organisational Unit(s)
NEBIS System Number 000044675
Source Database ID FORM-1449052297
SCOPUS-84947997422
WOS-000365335600012
Beschreibung Dateiname MIME Type Grösse
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@article{Mndllz2015,
author = "Mandallaz, Daniel and Massey, Alexander",
title = "{D}esign-based regression estimation of net change for forest inventories",
journal = "Canadian Journal of Forest Research",
year = 2015,
volume = "45",
number = "12",
pages = "1775--1784",
}


E-Citations record created: Wed, 02 Dec 2015, 10:31:59 CET