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Communication Dans Un Congrès Année : 2023

Application of the Landscape Reconstruction Algorithm in the Northern French Alps to assess Holocene land cover changes

Résumé

Major trends in Holocene vegetation changes in the Alps are known based on palaeoecological studies. However, in the detail, disparities are observed both at regional and local scales. This is mainly due to the spatial variability of the mountain landscapes, e.g. different valleys and altitudes are characterized by different plant abundance/composition, resulting from a combination of factors such as soil characteristics, the natural distribution of plant taxa and local human activities. In the aim of assessing the spatial extent of past plant abundances and vegetation composition through time, there is still a critical need to disentangle the local from the regional vegetation changes. Pollen-based vegetation modelling approaches have been developed to meet this challenge. However, such works are still few in mountain environments. In the present project, we aimed at reconstructing the spatial variability in regional and local plant abundances in a mountain region by applying the Landscape Reconstruction Algorithm (LRA) to reconstruct the spatial distribution of the vegetation in the Northern French Alps over the last 5 millennia. Here, we present our methodological approach to calibrate models from modern vegetation and evaluate the performances of the LRA to assess both regional and local vegetation in a mountain region. 45 sites, including lakes and peat bogs were sampled in a region of 45 km2 located between the Mont Blanc, the Lake Annecy and the Lake Geneva. Pollen and sedaDNA analyses have been carried out on each top of these sediment cores. Current and historical regional vegetation maps are used to evaluate the performance of the REVEALS model (i.e. regional component of the LRA). Regarding the performance of the LOVE model (i.e. local component of the LRA), we use for the evaluation, the current vegetation units surrounding each site (within a 10km radius) based on vegetation maps and botanical surveys. The vegetation maps and the LRA runs are performed for specific time slice during the Holocene. This research aims at improving the use of the LRA to reconstruct past vegetation and land-use changes from a local to a regional scale in mountain regions, in general.
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Dates et versions

hal-04228070 , version 1 (04-10-2023)

Identifiants

  • HAL Id : hal-04228070 , version 1

Citer

Andréa Julien, Erwan Messager, Charline Giguet-Covex, Fabien Arnaud, Florence Mazier, et al.. Application of the Landscape Reconstruction Algorithm in the Northern French Alps to assess Holocene land cover changes. INQUA 2023, Jul 2023, Roma, Italy. ⟨hal-04228070⟩
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