Premium
Participatory modelling of upward shifts of altitudinal vegetation belts for assessing site type transformation in Swiss forests due to climate change
Author(s) -
Zischg Andreas Paul,
Frehner Monika,
Gubelmann Päivi,
Augustin Sabine,
Brang Peter,
Huber Barbara
Publication year - 2021
Publication title -
applied vegetation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.096
H-Index - 64
eISSN - 1654-109X
pISSN - 1402-2001
DOI - 10.1111/avsc.12621
Subject(s) - climate change , vegetation (pathology) , vegetation type , species distribution , forest ecology , environmental science , tree (set theory) , ecology , geography , ecosystem , physical geography , environmental resource management , habitat , biology , grassland , mathematical analysis , mathematics , medicine , pathology
Aims Climate change is expected to markedly change site factors, tree species composition and finally ecosystem services provided by forests. Here, we describe the development of a framework for modelling how these changes may transform forest site types. Site types capture information on site conditions like climate, topography and soil, all factors with strong influence on tree species occurrence. Location Switzerland. Methods We elicited expert knowledge and followed a participatory modelling approach for quantifying upward shifts of altitudinal vegetation belts and the changes in the zonal distribution of main tree species, as a basis for assessing transformation pathways of forest site types for three climate projections. Results The model results show marked range shifts of altitudinal vegetation belts. The change in the vegetation belt and a rule base for forest site type transformations allow for assessing the location‐specific and long‐term transformation pathway from the current to a future forest site type. Conclusions The resulting maps enable forest managers to take climate change into account when selecting tree species. The presented method complements statistical distribution models as it considers more site information, integrates expert knowledge and is based on a forest site type classification which is already widely used by forest practitioners.