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Habitat modeling of Tetraonidae in the Jura massif : contribution of LiDAR airborne remote sensing

Abstract : In the general context of biodiversity erosion, two forest bird species occurring in the French Jura massif, the Capercaillie (Tetrao urogallus) and the Hazel Grouse (Bonasa bonasia), are threatened by habitat loss and fragmentation at the regional scale. In particular, intensive beech regeneration patches extension in the Jura massif is leading to the transformation of the understory cover, once suitable with bilberry and herbaceous vegetation, to closed unfavorable habitat. The fate of those two emblematic species is depending for the first on future management actions and for the second on a better knowledge of the species population’s dynamics and occurrences. In particular, the cutting of the beech regeneration patches is one of the efficient management actions undertaken to restore the habitat. However, management actions and surveys are money and time consuming due to the large area that need to be covered. The opportunity to use two Light Detection and Ranging (LiDAR) datasets covering a major part of the distribution of the two species in the Jura massif initiated the phD project, with the objective to support managers in their decisions and actions by the creation of adapted distribution predicted maps using Species Distribution Models (SDMs) (Hazel Grouse, Capercaillie and beech regeneration). The realization of this objective is depending on the reliability of the models produced and on the capacity of the researcher to transfer the results to managers who are not familiar with modeling methods. In a first step, the choice of the appropriate modeling method regarding the datasets characteristics and the objectives was investigated (sampling bias correction, scales, and algorithms). In addition, the use of object-oriented LiDAR predictors (trees and gaps) pertinent from both species and managers point of view to facilitate the results transfer was tested. The results obtained were used to create appropriate multi-scale SDMs and to predict distribution maps for both target species, demonstrating the capacity of LiDAR to represent vegetation structures that influence the targeted forest bird species occurrences. Models at a fine scale were also created to map the beech regeneration distribution in the Jura massif.
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Submitted on : Tuesday, May 7, 2019 - 4:03:08 PM
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  • HAL Id : tel-02609188, version 2



Anouk Glad. Habitat modeling of Tetraonidae in the Jura massif : contribution of LiDAR airborne remote sensing. Ecosystems. Université Grenoble Alpes, 2018. English. ⟨NNT : 2018GREAV070⟩. ⟨tel-02609188v2⟩



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