Dirk R. Schmatz

TL;DR: In this article, a hybrid model was used to forecast the climate-driven spatio-temporal dynamics of 150 high-mountain plant species across the European Alps, which predicts average range size reductions of 44-50% by the end of the twenty-first century, which is similar to projections from the most optimistic static model.

TL;DR: Methods for optimizing the reliability and comparability of faunistic inventories are proposed, including rarefaction for reference functions and estimation of species numbers per unit area, and average empirical numbers for species diversity and abundance of major arthropod groups are given and compared to published data.

TL;DR: It is demonstrated that measures of climate extremes are important for understanding the climatic limits of tree species and assessing species niche characteristics, and the inclusion of climate variability likely will improve models of species range limits under future conditions, where changes in mean climate and increased variability are expected.

TL;DR: This work proposes a standard protocol for reporting SDMs, and introduces a structured format for documenting and communicating the models, ensuring transparency and reproducibility, facilitating peer review and expert evaluation of model quality, as well as meta-analyses.

TL;DR: Early-successional species track climate change almost instantaneously while mid- to late- successional species were predicted to migrate very slowly, while re-adjustments of species ranges to climate and land-use change are complex and very individualistic, yet still quite predictable.