Caracterización de los tipos de estructura forestal mediante índices de ecología del paisaje aplicados sobre datos Lidar

  1. García Abril, A. 1
  2. Pascual Castaño, C. 2
  3. Ruiz Sánchez, M. A. 2
  4. Velarde Castolfi, M. D. 2
  5. Blanco, E. 1
  6. Velazquez, J. 1
  7. Cocero Matesanz, D. 3
  1. 1 Universidad Politécnica de Madrid
    info

    Universidad Politécnica de Madrid

    Madrid, España

    ROR https://ror.org/03n6nwv02

  2. 2 Universidad Rey Juan Carlos
    info

    Universidad Rey Juan Carlos

    Madrid, España

    ROR https://ror.org/01v5cv687

  3. 3 Universidad Nacional de Educación a Distancia
    info

    Universidad Nacional de Educación a Distancia

    Madrid, España

    ROR https://ror.org/02msb5n36

Book:
El acceso a la información espacial y las nuevas tecnologías geográficas
  1. M.T. Camacho Olmedo (ed. lit.)
  2. J.A. Cañete Pérez (ed. lit.)
  3. J.J. Lara Valle (ed. lit.)

Publisher: Universidad de Granada

ISBN: 84-338-3944-6

Year of publication: 2006

Pages: 843-850

Congress: Congreso Nacional de Tecnologías de la Información Geográfica (12. 2006. Granada)

Type: Conference paper

Abstract

Forest structure mapping at forest stand level is a basic tool for decision making in sustanaible forest management. The LIDAR data, that provide direct measurements of forest canopy height, have important application in forest stand delineation. On ther other hand, landscape ecoloy is a discipline that quantify and characterize landscape units using several metrics. Regarding this, the objective of the present work is to study the utiltity and applicability of landscape ecology metrics to identify and charcterize forest stands structure units. To this purpose, 120 ha of Scot pine in Guadarrama mountains were analyzed and a forest structure cartography with five structure types based on LIDAR DCM data was considered. Different landscape metrics: patch density, shannon index, etc.. were calculated at landscape level with FRAGSTATS. In addition, an ANOVA test (structure type as factor) and Fisher LSD test were applied in order to evaluate the ability to discriminate among the 5 structure types of each landscape ecology index. Results show that landscape ecology metrics without spatial information are not properly able to recognize and differentiate forest structure types.