1991
DOI: 10.1051/forest:19910508
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Growth and yield of maritime pine (Pinus pinaster Ait): the average dominant tree of the stand

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Cited by 39 publications
(24 citation statements)
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“…Similarly, the nutrient content of the trunk can be estimated if its diameter is available for various heights. For maritime pine stands, the tree growth model Pp3 (derived from Lemoine, 1991) coupled with a stem profile model gives the dimensions of the tree along the stem for all trees in the stand and at any age.…”
Section: Estimation Of the Nutrient Content Of Aboveground Tree Compamentioning
confidence: 99%
“…Similarly, the nutrient content of the trunk can be estimated if its diameter is available for various heights. For maritime pine stands, the tree growth model Pp3 (derived from Lemoine, 1991) coupled with a stem profile model gives the dimensions of the tree along the stem for all trees in the stand and at any age.…”
Section: Estimation Of the Nutrient Content Of Aboveground Tree Compamentioning
confidence: 99%
“…The sites were 4 km apart and established with a view to estimating Maritime pine growth using various silvicultural methods (table I) [29]. The relief is flat and the soil is a hydromorphous humus podzol with a hardened iron pan horizon at a depth of about 60 cm [28,55].…”
Section: Study Sites: Presentation and Backgroundmentioning
confidence: 99%
“…This model was developed using three stand attributes: the height and basal area of the average dominant tree (respectively h 0 and g 0 ), and the basal area of the average tree in the stand (g = G/N). The model was built from stem analysis data, from semi-permanent and temporary sample plots which had experienced different silvicultural treatments, and from thinning and fertilization experiments [11,20,23,24]. The model was validated using temporary plots [25].…”
Section: Lemoine's Stand Growth Modelmentioning
confidence: 99%
“…These models are used to simulate tree and stand growth from an initial state (estimated from a stand inventory), and as a function of site quality and alternative silvicultural schedules [23]. Since it is important for public and private interests to know the volume of timber that could be harvested annually from an extensive forested area [32,43], some of these models have been applied to regional inventory data in order to forecast the future evolution of wood resources and of the 'available cut' [33,34].…”
Section: Introductionmentioning
confidence: 99%