Biomass production at 2085 horizon for the Maurienne valley (French Alps) estimated using a Bayesian Belief Network

In mountains, grasslands managed for livestock production sustain local economies, culture and identity. However, their future fodder production is highly uncertain under climate change: while an extended growing season may be beneficial, more frequent and intense summer droughts could also reduce fodder quantity and quality. Land use and land cover (LULC) changes are another major driver of regional grassland biomass production, but combined effects of future land use transitions and climate change are rarely quantified.
We modelled combined climate and LULC scenarios for grassland production of the Maurienne Valley (French Alps) by 2100. We built a Bayesian Belief Network (BBN) from long-term grassland production monitoring data complemented with expert knowledge. We assessed the potential of two candidate adaptations, intensification as an incremental solution, and silvopastoralism as a transformative solution to compensate combined impacts of two climate scenarios and three land use..., This dataset was produced using a Bayesian Belief Network that estimate the biomass production across time and scenarios of future land use and land cover change. 
For a full description of the methodology see: A Bayesian analysis of adaptation of mountain grassland production to global change published in JOAE in 2024., , # Biomass production at 2085 horizon for the Maurienne valley (French Alps) estimated using a Bayesian Belief Network

[https://doi.org/10.5061/dryad.pg4f4qrxd](https://doi.org/10.5061/dryad.pg4f4qrxd)

This datasets comprise raster of biomass production for the Maurienne valley (French Alps). Values are expressed in 10^3 kg.km^-2.year^-1 of dry biomass matter. Rasters are in EPSG: 4326. Those results are the product of a Bayesian Belief Network, a full description of the model is available in the main publication linked to this deposit.

## Description of the data and file structure

We provide several rasters of biomass production for time periods: 2020, 2050, 2085; across three future scenarios of land use and land cover change (see 10.5061/dryad.83bk3jb0h); across two future scenarios of climate change (RCP 4.5 and RCP 8.5) and across three modalities of adaptation solution implementation (Control, Silvopastoralism, Irrigation and fertilization).

Scenarios of future Land Use and L...