Integrando teledetección e inventario multi-temporales a escala árbol (Eucalyptus) para predecir dinámica forestal y optimizar la gestión forestal en Mato Grosso, Brasil

  1. Tupinambá-Simões, F. 1
  2. Guerra-Hernández, J. 2
  3. Pascual, A. 3
  4. Bravo Oviedo, F. 1
  1. 1 Instituto de Investigación sobre Gestión Forestal Sostenible UVa-INIA
  2. 2 Centro de Investigación Forestal, Escuela de Agricultura, Universidad de Lisboa
  3. 3 Departamento de Ciencias Geográficas, Universidad de Maryland
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Revue:
Cuadernos de la Sociedad Española de Ciencias Forestales

ISSN: 1575-2410,  2386-8368

Année de publication: 2023

Número: 49

Pages: 41-58

Type: Article

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D'autres publications dans: Cuadernos de la Sociedad Española de Ciencias Forestales

Résumé

Establishing fast-growing tree species (Eucalyptusspp.) is crucial in supplying forest products to developing econo- mies. However, the increasing frequency, severity and duration of droughts threaten these important ecosystems' viability. In Mato Grosso, Brazil, where water stress is the main limiting factor for eucalyptus, the second-largest drought event in the entire historical series was recorded in 2019. The forest inventory data comprising thousands of tree measurements taken in 2019, 2020, and 2021 have been modeled using mixed effects models to identify the most significant factors influen- cing mortality and growth dynamics of the four different eucalyptus genotypes. An unmanned aerial vehicle (UAV) was used to obtain a mosaic of images in the visible spectrum - red, green, and blue (RGB) - at very high resolution (VHR), in ad- dition to digital surface models (DSM) and vegetation index (VI) calculations, which were used in the classification of mor- tality using object-focused segmentation. Growth and mortality rates were significantly affected during the drought; The drought effect of 2019 was more pronounced in stands with high tree density. Genetic material selection and planting den- sity can be used as silvicultural factors to more efficiently manage forest plantations in the face of climate change effects, including extreme water stress events. Implications: This study illustrates the need to adjust silvicultural guidelines to re- duce the impact of drought on Eucalyptus plantations and how remote sensing technologies, genetic improvements, and ap- plied operational research can be integrated to improve the efficiency and resilience of Eucalyptus plantations and explo- re optimal productivity limits under global change.

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