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...
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Published in | Canadian journal of forest research Vol. 41; no. 9; pp. 1819 - 1826 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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 Access | Get full text |
ISSN | 0045-5067 1208-6037 |
DOI | 10.1139/x11-101 |
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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. |
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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 |
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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 |
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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 |
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