Two-stage sector sampling for estimating small woodlot attributes

A two-stage sampling strategy is proposed to assess small woodlots outside the forests scattered on extensive territories. The first stage is performed to select a sample of small woodlots using fixed-size sampling schemes, and the second stage is performed to sample trees within woodlots selected a...

Full description

Saved in:
Bibliographic Details
Published inCanadian journal of forest research Vol. 41; no. 9; pp. 1819 - 1826
Main Authors Corona, Piermaria, Fattorini, Lorenzo, Franceschi, Sara
Format Journal Article
LanguageEnglish
Published Ottawa, ON NRC Research Press, National Research Council Canada 01.09.2011
NRC Research Press
National Research Council of Canada
Canadian Science Publishing NRC Research Press
Subjects
Online AccessGet full text
ISSN0045-5067
1208-6037
DOI10.1139/x11-101

Cover

Abstract A two-stage sampling strategy is proposed to assess small woodlots outside the forests scattered on extensive territories. The first stage is performed to select a sample of small woodlots using fixed-size sampling schemes, and the second stage is performed to sample trees within woodlots selected at first stage. Usually, fixed- or variable-area plots are adopted to sample trees. However, the use of plot sampling in small patches such as woodlots is likely to induce a relevant amount of bias owing to edge effects. In this framework, sector sampling proves to be particularly effective. The present paper investigates the statistical properties of two-stage sampling strategies for estimating forest attributes of woodlot populations when sector sampling is adopted at the second stage. A two-stage estimator of population totals is derived together with a conservative estimator of its sampling variance. By means of a simulation study, the performance of the proposed estimator is checked and compared with that achieved using traditional plot sampling with edge corrections. Simulation results prove the adequacy of sector sampling and provide some guidelines for the effective planning of the strategy. In some countries, the proposed strategy can be performed with few modifications within the framework of large-scale forest inventories.
AbstractList A two-stage sampling strategy is proposed to assess small woodlots outside the forests scattered on extensive territories. The first stage is performed to select a sample of small woodlots using fixed-size sampling schemes, and the second stage is performed to sample trees within woodlots selected at first stage. Usually, fixed- or variable-area plots are adopted to sample trees. However, the use of plot sampling in small patches such as woodlots is likely to induce a relevant amount of bias owing to edge effects. In this framework, sector sampling proves to be particularly effective. The present paper investigates the statistical properties of two-stage sampling strategies for estimating forest attributes of woodlot populations when sector sampling is adopted at the second stage. A two-stage estimator of population totals is derived together with a conservative estimator of its sampling variance. By means of a simulation study, the performance of the proposed estimator is checked and compared with that achieved using traditional plot sampling with edge corrections. Simulation results prove the adequacy of sector sampling and provide some guidelines for the effective planning of the strategy. In some countries, the proposed strategy can be performed with few modifications within the framework of large-scale forest inventories.Original Abstract: Une strategie d'echantillonnage en deux etapes est proposee pour evaluer les petits boises situes a l'ecart des forets et disperses sur de vastes territoires. La premiere etape sert a selectionner un echantillon de petits boises en utilisant des plans d'echantillonnage a surface fixe tandis que la deuxieme etape sert a echantillonner les arbres dans les boises selectionnes lors de la premiere etape. Habituellement, des placettes a surface fixe ou variable sont utilisees pour echantillonner les arbres. Cependant, l'utilisation de placettes dans de petits boises est susceptible d'induire un biais appreciable du a l'effet de bordure. Dans ce cas, l'echantillonnage par secteur se revele particulierement efficace. Le present article etudie les proprietes statistiques des strategies d'echantillonnage en deux etapes pour estimer les attributs forestiers de populations de boises lorsque l'echantillonnage par secteur est utilise lors de la deuxieme etape. Un estimateur en deux etapes des totaux de population est derive avec un estimateur conservateur de sa variance d'echantillonnage. La performance de l'estimateur propose est verifiee et comparee par simulation avec celle obtenue par l'echantillonnage traditionnel accompagne d'une correction pour tenir compte de l'effet de bordure. Les resultats de la simulation demontrent que l'echantillonnage par secteur est adequat et fournissent des lignes directrices pour la planification efficace de la strategie d'echantillonnage. Dans certains pays, la strategie proposee peut etre realisee avec peu de modifications dans le cadre de l'inventaire forestier a grande echelle.
A two-stage sampling strategy is proposed to assess small woodlots outside the forests scattered on extensive territories. The first stage is performed to select a sample of small woodlots using fixed-size sampling schemes, and the second stage is performed to sample trees within woodlots selected at first stage. Usually, fixed- or variable-area plots are adopted to sample trees. However, the use of plot sampling in small patches such as woodlots is likely to induce a relevant amount of bias owing to edge effects. In this framework, sector sampling proves to be particularly effective. The present paper investigates the statistical properties of two-stage sampling strategies for estimating forest attributes of woodlot populations when sector sampling is adopted at the second stage. A two-stage estimator of population totals is derived together with a conservative estimator of its sampling variance. By means of a simulation study, the performance of the proposed estimator is checked and compared with that achieved using traditional plot sampling with edge corrections. Simulation results prove the adequacy of sector sampling and provide some guidelines for the effective planning of the strategy. In some countries, the proposed strategy can be performed with few modifications within the framework of large-scale forest inventories.
A two-stage sampling strategy is proposed to assess small woodlots outside the forests scattered on extensive territories. The first stage is performed to select a sample of small woodlots using fixed-size sampling schemes, and the second stage is performed to sample trees within woodlots selected at first stage. Usually, fixed- or variable-area plots are adopted to sample trees. However, the use of plot sampling in small patches such as woodlots is likely to induce a relevant amount of bias owing to edge effects. In this framework, sector sampling proves to be particularly effective. The present paper investigates the statistical properties of two-stage sampling strategies for estimating forest attributes of woodlot populations when sector sampling is adopted at the second stage. A two-stage estimator of population totals is derived together with a conservative estimator of its sampling variance. By means of a simulation study, the performance of the proposed estimator is checked and compared with that achieved using traditional plot sampling with edge corrections. Simulation results prove the adequacy of sector sampling and provide some guidelines for the effective planning of the strategy. In some countries, the proposed strategy can be performed with few modifications within the framework of large-scale forest inventories. [PUBLICATION ABSTRACT]
A two-stage sampling strategy is proposed to assess small woodlots outside the forests scattered on extensive territories. The first stage is performed to select a sample of small woodlots using fixed-size sampling schemes, and the second stage is performed to sample trees within woodlots selected at first stage. Usually, fixed- or variable-area plots are adopted to sample trees. However, the use of plot sampling in small patches such as woodlots is likely to induce a relevant amount of bias owing to edge effects. In this framework, sector sampling proves to be particularly effective. The present paper investigates the statistical properties of two-stage sampling strategies for estimating forest attributes of woodlot populations when sector sampling is adopted at the second stage. A two-stage estimator of population totals is derived together with a conservative estimator of its sampling variance. By means of a simulation study, the performance of the proposed estimator is checked and compared with that achieved using traditional plot sampling with edge corrections. Simulation results prove the adequacy of sector sampling and provide some guidelines for the effective planning of the strategy. In some countries, the proposed strategy can be performed with few modifications within the framework of large-scale forest inventories. Resume: Une strategie d'echantillonnage en deux etapes est proposee pour evaluer les petits boises situes a l'ecart des forets et disperses sur de vastes territoires. La premiere etape sert a selectionner un echantillon de petits boises en utilisant des plans d'echantillonnage a surface fixe tandis que la deuxieme etape sert a echantillonner les arbres dans les boises selectionnes lors de la premiere etape. Habituellement, des placettes a surface fixe ou variable sont utilisees pour echantillonner les arbres. Cependant, l'utilisation de placettes dans de petits boises est susceptible d'induire un biais appreciable du a l'effet de bordure. Dans ce cas, l'echantillonnage par secteur se revele particulierement efficace. Le present article etudie les proprietes statistiques des strategies d'echantillonnage en deux etapes pour estimer les attributs forestiers de populations de boises lorsque l'echantillonnage par secteur est utilise lors de la deuxieme etape. Un estimateur en deux etapes des totaux de population est derive avec un estimateur conservateur de sa variance d'echantillonnage. La performance de l'estimateur propose est verifiee et comparee par simulation avec celle obtenue par l'echantillonnage traditionnel accompagne d'une correction pour tenir compte de l'effet de bordure. Les resultats de la simulation demontrent que l'echantillonnage par secteur est adequat et fournissent des lignes directrices pour la planification efficace de la strategie d'echantillonnage. Dans certains pays, la strategie proposee peut etre realisee avec peu de modifications dans le cadre de l'inventaire forestier a grande echelle. [Traduit par la Redaction]
Abstract_FL Une stratégie d’échantillonnage en deux étapes est proposée pour évaluer les petits boisés situés à l’écart des forêts et dispersés sur de vastes territoires. La première étape sert à sélectionner un échantillon de petits boisés en utilisant des plans d’échantillonnage à surface fixe tandis que la deuxième étape sert à échantillonner les arbres dans les boisés sélectionnés lors de la première étape. Habituellement, des placettes à surface fixe ou variable sont utilisées pour échantillonner les arbres. Cependant, l’utilisation de placettes dans de petits boisés est susceptible d’induire un biais appréciable dû à l’effet de bordure. Dans ce cas, l’échantillonnage par secteur se révèle particulièrement efficace. Le présent article étudie les propriétés statistiques des stratégies d’échantillonnage en deux étapes pour estimer les attributs forestiers de populations de boisés lorsque l’échantillonnage par secteur est utilisé lors de la deuxième étape. Un estimateur en deux étapes des totaux de population est dérivé avec un estimateur conservateur de sa variance d’échantillonnage. La performance de l’estimateur proposé est vérifiée et comparée par simulation avec celle obtenue par l’échantillonnage traditionnel accompagné d’une correction pour tenir compte de l’effet de bordure. Les résultats de la simulation démontrent que l’échantillonnage par secteur est adéquat et fournissent des lignes directrices pour la planification efficace de la stratégie d’échantillonnage. Dans certains pays, la stratégie proposée peut être réalisée avec peu de modifications dans le cadre de l’inventaire forestier à grande échelle.
Audience Academic
Author Franceschi, Sara
Corona, Piermaria
Fattorini, Lorenzo
Author_xml – sequence: 1
  fullname: Corona, Piermaria
– sequence: 2
  fullname: Fattorini, Lorenzo
– sequence: 3
  fullname: Franceschi, Sara
BackLink http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24606635$$DView record in Pascal Francis
BookMark eNqV0u9r1DAYB_AiE7xN8U-wTHQqdOZX09zLY0wdDAV3vg65NKkZaXNLUjb_e59yJ3rzVKQv2oRPvzx58hwWB0MYTFE8xegUYzp_e4dxhRF-UMwwQaLiiDYHxQwhVlc14s2j4jCla4QQ5RTNisXyNlQpq86UyegcYplUv_Zu6EoLC5Oy61WelqlX3pe3IbQ-5FLlHN1qzCY9Lh5a5ZN5sn0fFct358uzD9Xlp_cXZ4vLSnMqcmVE3ViiGrxqecsEU8Iygua0mXNja42QaAkRBFsiatauWssoRxgzTElTQ7VHxatN7DqGmxHqkr1L2nivBhPGJDHntG4wZ_zfFFEi5rWgDdDje_Q6jHGAc0gBtbGGUQzo-QZ1yhvpBhtyVHrKlAvCBQjEGKhqj-rMYKLycEXWwfaOP97j9drdyF_R6R4ET2t6p_emvt75AUw2d7lTY0ry4urzf9iPu_bFtlEqaeVtVIN2Sa4jjEf8JgnjaLqAn13QMaQUjZXaZRggiI7Keei9nKZUwpTC99Tbk3v-R-Tv8s1GDlFHk4yK-utf8Ms_4y2S69YCfLaBVgWpughn-nJFEIaRQzWZM0q_AyPhBNo
CODEN CJFRAR
CitedBy_id crossref_primary_10_1007_s10342_018_1109_0
crossref_primary_10_1002_env_2330
crossref_primary_10_1007_s10661_015_4817_7
crossref_primary_10_17221_22_2017_JFS
crossref_primary_10_1016_j_ecolind_2021_107884
crossref_primary_10_3390_f3010114
crossref_primary_10_3832_ifor1239_007
crossref_primary_10_1139_cjfr_2019_0024
Cites_doi 10.1007/978-1-4612-4378-6
10.1080/03610928308831175
10.1002/env.1046
10.1201/9780203498880
10.1007/978-1-4684-9407-5
10.1198/108571106X130548
10.1007/s10651-009-0125-0
ContentType Journal Article
Copyright 2015 INIST-CNRS
COPYRIGHT 2011 NRC Research Press
Copyright National Research Council of Canada Sep 2011
Copyright_xml – notice: 2015 INIST-CNRS
– notice: COPYRIGHT 2011 NRC Research Press
– notice: Copyright National Research Council of Canada Sep 2011
DBID FBQ
AAYXX
CITATION
IQODW
ISN
ISR
7SN
7SS
7T7
8FD
C1K
FR3
P64
RC3
U9A
7ST
7U6
SOI
7S9
L.6
DOI 10.1139/x11-101
DatabaseName AGRIS
CrossRef
Pascal-Francis
Gale In Context: Canada
Gale In Context: Science
Ecology Abstracts
Entomology Abstracts (Full archive)
Industrial and Applied Microbiology Abstracts (Microbiology A)
Technology Research Database
Environmental Sciences and Pollution Management
Engineering Research Database
Biotechnology and BioEngineering Abstracts
Genetics Abstracts
Environment Abstracts
Sustainability Science Abstracts
Environment Abstracts
AGRICOLA
AGRICOLA - Academic
DatabaseTitle CrossRef
Entomology Abstracts
Genetics Abstracts
Technology Research Database
Engineering Research Database
Ecology Abstracts
Industrial and Applied Microbiology Abstracts (Microbiology A)
Biotechnology and BioEngineering Abstracts
Environmental Sciences and Pollution Management
Career and Technical Education (Alumni Edition)
Environment Abstracts
Sustainability Science Abstracts
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList Ecology Abstracts

Entomology Abstracts






AGRICOLA

CrossRef
Database_xml – sequence: 1
  dbid: FBQ
  name: AGRIS
  url: http://www.fao.org/agris/Centre.asp?Menu_1ID=DB&Menu_2ID=DB1&Language=EN&Content=http://www.fao.org/agris/search?Language=EN
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Forestry
EISSN 1208-6037
EndPage 1826
ExternalDocumentID 2466510451
A268313044
24606635
10_1139_x11_101
x11-101
US201500052943
Genre Feature
GeographicLocations Canada
GeographicLocations_xml – name: Canada
GroupedDBID 00T
0R~
29B
2XV
3V.
4.4
4P2
5GY
5RP
6J9
7RQ
7X2
7XC
88I
8AF
8FE
8FG
8FH
8FQ
8G5
AAYJJ
ABDBF
ABJCF
ABJNI
ABPTK
ABTAH
ABUWG
ACGFO
ACGFS
ACGOD
ACIWK
ACPRK
AEGXH
AENEX
AFKRA
AFRAH
AI.
AIAGR
ALMA_UNASSIGNED_HOLDINGS
APEBS
ATCPS
AZQEC
BCR
BCU
BEC
BENPR
BES
BGLVJ
BHPHI
BKSAR
BLC
BPHCQ
CAG
CCPQU
COF
CS3
D8U
DWQXO
EAD
EAP
EAS
EBC
EBD
EBS
ECC
ECGQY
EDH
EJD
EMK
EPL
ESX
FBQ
GNUQQ
GUQSH
HCIFZ
HZ~
I-F
IAO
ICQ
IEA
IEP
IFM
IOF
IPNFZ
IRD
ISN
ISR
ITC
ITF
ITG
ITH
L6V
LK5
M0K
M2O
M2P
M2Q
M3C
M3G
M7R
M7S
MV1
N95
NMEPN
NRXXU
NYCZX
N~3
O9-
ONR
OVD
P2P
PATMY
PCBAR
PEA
PQQKQ
PRG
PROAC
PTHSS
PV9
PYCSY
QF4
QM4
QN7
QO4
QRP
RIG
RRCRK
RRP
RZL
SJFOW
TEORI
TUS
U5U
UQL
VH1
VQG
XOL
Y6R
YV5
ZCG
ZY4
08R
0R
1AW
ABFLS
ADKZR
B4K
HZ
LA8
MBDVC
PADUT
PQEST
PQUKI
PRINS
AAHBH
AAYXX
ACUHS
AEUYN
CITATION
PHGZM
PHGZT
IQODW
PQGLB
7SN
7SS
7T7
8FD
C1K
FR3
P64
RC3
U9A
7ST
7U6
SOI
7S9
L.6
ID FETCH-LOGICAL-c638t-e857f2a71bd6d484a8f42093796ef5c008d22821f2854dbdf436011413275003
ISSN 0045-5067
IngestDate Fri Jul 11 05:28:39 EDT 2025
Fri Jul 11 01:37:45 EDT 2025
Fri Aug 15 19:34:02 EDT 2025
Wed Mar 19 01:50:15 EDT 2025
Fri Mar 14 03:02:20 EDT 2025
Tue Jun 10 15:35:05 EDT 2025
Sat Mar 08 18:44:57 EST 2025
Wed Mar 05 05:07:08 EST 2025
Wed Mar 05 04:27:19 EST 2025
Mon Jul 21 09:16:18 EDT 2025
Thu Apr 24 23:06:23 EDT 2025
Tue Jul 01 02:57:53 EDT 2025
Wed Nov 11 00:32:56 EST 2020
Thu May 23 14:20:26 EDT 2019
Wed Dec 27 19:00:51 EST 2023
IsPeerReviewed true
IsScholarly true
Issue 9
Keywords Small
Sampling
Attribute
Forestry
Samplings
Language English
License http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining
CC BY 4.0
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c638t-e857f2a71bd6d484a8f42093796ef5c008d22821f2854dbdf436011413275003
Notes http://dx.doi.org/10.1139/x11-101
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
PQID 893747431
PQPubID 47747
PageCount 8
ParticipantIDs gale_infotracgeneralonefile_A268313044
gale_incontextgauss_ISR_A268313044
nrcresearch_primary_10_1139_x11_101
gale_infotraccpiq_268313044
crossref_primary_10_1139_x11_101
gale_infotracmisc_A268313044
fao_agris_US201500052943
pascalfrancis_primary_24606635
proquest_miscellaneous_1032895837
gale_incontextgauss_ISN_A268313044
gale_infotracacademiconefile_A268313044
proquest_miscellaneous_1663571646
crossref_citationtrail_10_1139_x11_101
proquest_journals_893747431
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2011-09-01
PublicationDateYYYYMMDD 2011-09-01
PublicationDate_xml – month: 09
  year: 2011
  text: 2011-09-01
  day: 01
PublicationDecade 2010
PublicationPlace Ottawa, ON
PublicationPlace_xml – name: Ottawa, ON
– name: Ottawa
PublicationTitle Canadian journal of forest research
PublicationYear 2011
Publisher NRC Research Press, National Research Council Canada
NRC Research Press
National Research Council of Canada
Canadian Science Publishing NRC Research Press
Publisher_xml – name: NRC Research Press, National Research Council Canada
– name: NRC Research Press
– name: National Research Council of Canada
– name: Canadian Science Publishing NRC Research Press
References refg7/ref7
refg18/ref18
refg4/ref4
refg20/ref20
refg10/ref10
refg1/ref1
Sunter A.B. (refg19/ref19) 1977; 26
Masuyama M. (refg16/ref16) 1954; 14
refg6/ref6
Kleinn C. (refg13/ref13) 2000; 51
Kleinn C. (refg14/ref14) 2002; 53
Lynch T.B. (refg15/ref15) 2006; 52
Holmgren P. (refg11/ref11) 1994; 23
refg5/ref5
Iles K. (refg12/ref12) 2006; 52
refg2/ref2
refg17/ref17
References_xml – ident: refg18/ref18
  doi: 10.1007/978-1-4612-4378-6
– ident: refg10/ref10
– volume: 51
  start-page: 3
  year: 2000
  ident: refg13/ref13
  publication-title: Unasylva
– ident: refg17/ref17
  doi: 10.1080/03610928308831175
– ident: refg2/ref2
  doi: 10.1002/env.1046
– volume: 26
  start-page: 261
  year: 1977
  ident: refg19/ref19
  publication-title: J. R. Stat. Soc. Ser. C Appl. Stat.
– ident: refg5/ref5
– volume: 23
  start-page: 390
  year: 1994
  ident: refg11/ref11
  publication-title: Ambio
– ident: refg7/ref7
  doi: 10.1201/9780203498880
– ident: refg4/ref4
  doi: 10.1007/978-1-4684-9407-5
– ident: refg6/ref6
  doi: 10.1198/108571106X130548
– volume: 53
  start-page: 10
  year: 2002
  ident: refg14/ref14
  publication-title: Unasylva
– ident: refg1/ref1
  doi: 10.1007/s10651-009-0125-0
– volume: 14
  start-page: 181
  year: 1954
  ident: refg16/ref16
  publication-title: Sankhya
– volume: 52
  start-page: 148
  year: 2006
  ident: refg12/ref12
  publication-title: For. Sci.
– ident: refg20/ref20
– volume: 52
  start-page: 251
  year: 2006
  ident: refg15/ref15
  publication-title: For. Sci.
SSID ssj0003630
Score 2.0241928
Snippet A two-stage sampling strategy is proposed to assess small woodlots outside the forests scattered on extensive territories. The first stage is performed to...
SourceID proquest
gale
pascalfrancis
crossref
nrcresearch
fao
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 1819
SubjectTerms Biological and medical sciences
Distribution
edge effects
forest inventory
Forest management
Forestry
Forests
Fundamental and applied biological sciences. Psychology
guidelines
Methods
planning
Plant populations
Sampling techniques
Simulation
Statistical sampling
trees
variance
Woodlots
Title Two-stage sector sampling for estimating small woodlot attributes
URI http://www.nrcresearchpress.com/doi/abs/10.1139/x11-101
https://www.proquest.com/docview/893747431
https://www.proquest.com/docview/1032895837
https://www.proquest.com/docview/1663571646
Volume 41
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwELfYJiF4QHxqZWOED42HKSOJna_HbqwaaCqItdLeLCdxqkojKU0rYH89d7aTJqxDg5eqiq9u4ruc7853vyPkrRBhAq9QbksWgYOSpMKOQylsF9HmmBSoAjHbYhicjtmnC_9i1aVTVZcsksP0am1dyf9wFa4BX7FK9h8420wKF-A78Bc-gcPweTse_yhtsO7A769U8P2gEpggbnIjET8D7VEMGHzDE2hMr7kssX5Rt7ky6YN_4hS0wCRgGpjlwCACNZHjY4Q9UFbnlylqdp2qbEAdFwg7Uuiia_h5cVU2Y9jEQ4I7Pa1j0e2YAwZR4zrmYPQo823f0Y00DqVWnZ4T2YGjIVxq3crclgzFLUUJhkXc2nTRy1mv0Cniof5UeXfuas-qz-mHn_lgfHbGRycXow2y5YUhntVv9Y8-HA2aDZkG1FQi6ZvWtdM49Xszccco2chF2WzQ94t5Wi8y5s2KCl6dXPc8ubZ9K5tk9JA8MM6E1deS8YjckcVjcnegmDb_9YT0GwGxtIBYtYBYwFlrJSCWEhDLCIi1EpCnZDQ4GR2f2qZnhp2CJl3YMvLD3BOhm2RBxiImopx5DtigcSBzPwWLL_PAy3ZzrJzNkixnNECf2KUI9O_QZ2SzKAu5TaxABj51siSiScZSdTycZWgtpxnL_Sjokf16zXhq8OSxrcklV34ljTksLmYQ9ojVEM40hMp1km1YdC4msLHx8bmHYTh1Bs1oj7xGTnDEKikwGWoillXFP54Ped8LIgo2GGM3En3tEL0zRHkJN5oKU4ACj4sYaB3KnQ5lOpt-563R_c7oROPDr5tmt0MIijvtDL9pCdfNS_NyHZUZ5bMs75G9jlg2NB4LlEMBj1PLKTcqpOLopzB0H3rkVTOKd4hJl4UslxVXWJuxH9HwLzT4BxhzCZ7fYp4dcm-lTnbJ5mK-lC_AqF8ke-al_Q1Jn_W5
linkProvider EBSCOhost
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Two-stage+sector+sampling+for+estimating+small+woodlot+attributes&rft.jtitle=Canadian+journal+of+forest+research&rft.au=Corona%2C+Piermaria&rft.au=Fattorini%2C+Lorenzo&rft.au=Franceschi%2C+Sara&rft.date=2011-09-01&rft.issn=0045-5067&rft.eissn=1208-6037&rft.volume=41&rft.issue=9&rft.spage=1819&rft.epage=1826&rft_id=info:doi/10.1139%2Fx11-101&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0045-5067&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0045-5067&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0045-5067&client=summon