Publications Scientifiques

[ Article ] Efficiency of inventory plot patterns in quantitative analysis of vegetation: a case study of tropical woodland and dense forest in Benin

Date de soumission: 23-09-2016
Année de Publication: 2013
Entité/Laboratoire Laboratoire de Biomathématiques et d'Estimations Forestières (LABEF)
Document type : Article
Discipline(s) : Sciences Environnement &Ecologie
Titre Efficiency of inventory plot patterns in quantitative analysis of vegetation: a case study of tropical woodland and dense forest in Benin
Journal: Southern Forests
Catégorie Journal: Africaine
Impact factor: 0.904
Volume Journal: 75
DOI: 10.2989/20702620.2013.816232
Resume The main issue in forest inventory is the reliability of data collected, which depends on the shape and size of inventoried plots. There is also a need for harmonisation of inventoried plot patterns in West Africa. This study focused on the impact of plot patterns on the quantitative analysis of two vegetation types of West Africa based on case studies from Benin. Twenty and fifteen plots of 1 ha each were demarcated in dense forest and woodland, respectively. Each 1 ha plot was divided into 100 quadrats of 100 m2 each and diameter at breast height (dbh) of trees was recorded in each quadrat. The required time to measuring trees diameter in each 1 ha plot was also recorded to compute the mean inventory effort. From the 100 quadrats in each 1 ha plot, 14 subplots of different shapes and sizes were considered by grouping together adjacent quadrats. The basal area of each subplot was computed and the relationship between estimation bias of the basal area and the size of subplots was modeled using Smith’s Law (Smith 1938). The mean absolute error of the shape parameter c of Weibull distribution was computed for each of the subplot shape, size and direction. The direction and shape of subplots did not influence significantly (P > 0.05) the precision of the quantitative analysis of vegetation. However, square subplots were suitable in practice. On the contrary, plot size was significantly (P < 0.05) and inversely correlated to estimation efficiency. The optimal plot size for quantitative analysis of vegetation was 1 800 and 2 000 m2 with an inventory effort of 0.51 and 0.85 man-days per subplot in woodland and dense forest, respectively. It is concluded that use of standard sample sizes will help to harmonise a forestry database and to carry out comparisons at regional level.
Mots clés Efficiency, forest inventory, plot patterns, structure, tropical vegetation types
Pages 137 - 143
Fichier (PDF)

Publications par entité

  • Centre de Formation et de Recherche en matière de Population (CEFORP) (21)
  • Centre Interfacultaire de Formation et de Recherche en Environnement pour le Développement Durable (CIFRED) (43)
  • Chaire Internationale en Physique Mathématique et Applications (CIPMA-Chaire UNESCO) (45)
  • Ecole Doctorale Pluridisciplinaire <<Espaces, Culture et Développement>> (0)
  • Ecole Nationale d'Administration et de Magistrature (ENAM) (73)
  • Ecole Nationle d'Economie Appliquée et de Management (88)
  • Ecole Normale Supérieure (35)
  • Ecole Polytechnique d'Abomey-Calavi (EPAC) (1127)
  • Faculté de droit et de Science Politique (FADESP) (116)
  • Faculté des Lettres et Sciences Humaines (FLASH) (1385)
  • Faculté des Lettres, Langues, Arts et Communications (FLLAC) (0)
  • Faculté des Sciences Agronomiques (1949)
  • Faculté des Sciences de la Santé (FSS) (2344)
  • Faculté des Sciences Economiques et de Gestion (FASEG) (191)
  • Faculté des Sciences et Techniques (FAST) (1084)
  • Faculté des Sciences Humaines et Sociales (FASHS) (70)
  • Institut de Formation et de Recherche en Informatique (IFRI) (76)
  • Institut de Géographie de l'Aménagement du territoire et de l'Environnement (IGATE) (0)
  • Institut de Mathématiques et de Sciences Physiques (IMSP) (124)
  • Institut National de l'Eau (INE) (28)
  • Institut National des Métiers d'Art d'Archéologie et de la Culture (INMAAC) (12)
  • Institut National Médico Sanitaire ( INMeS) (0)
  • Institut Régional de Santé Publique (IRSP) (84)

Publications par sexe

  • Femme( 1411 )
  • Homme (