BUSCADOR RECOLECTA

Body shape, measured as geometric morphometrics approach, standard metabolic rate (SMR) of one- and two-years old juvenile trout, body mass and centroid size., Principality of Asturies-CN-07-164, Spanish Ministry of Education and Sciences-MEC-CGL2004-03239/BOS, Spanish Ministry of Environment-MMA/86-2003-1, Foundation for the Promotion of Applied Scientific Research and Technology in Asturias-BP04-147, Peer reviewed

Body shape, measured as geometric morphometrics approach, standard metabolic rate (SMR) of one- and two-years old juvenile trout, body mass and centroid size., Principality of Asturies-CN-07-164, Spanish Ministry of Education and Sciences-MEC-CGL2004-03239/BOS, Spanish Ministry of Environment-MMA/86-2003-1, Foundation for the Promotion of Applied Scientific Research and Technology in Asturias-BP04-147, Peer reviewed

Body shape, measured as geometric morphometrics approach, standard metabolic rate (SMR) of one- and two-years old juvenile trout, body mass and centroid size., Principality of Asturies-CN-07-164, Spanish Ministry of Education and Sciences-MEC-CGL2004-03239/BOS, Spanish Ministry of Environment-MMA/86-2003-1, Foundation for the Promotion of Applied Scientific Research and Technology in Asturias-BP04-147, Peer reviewed

The data set contains five main continuous indicator values for European plants: disturbance severity, disturbance frequency, mowing frequency, grazing pressure and soil disturbance. The first two indicators are provided separately for the whole community and the herb layer., We report a data set of disturbance indicator values identifying mean optima along gradients of natural and anthropogenic disturbance for 6,382 vascular plant species based on the analysis of 736,366 European vegetation plots and using an expert-based characterization of disturbance regimes in 236 habitat types. The indicator values presented here are crucial for integrating disturbance niche optima in large-scale assessments of vegetation and macroecological studies., Peer reviewed

The data set contains five main continuous indicator values for European plants: disturbance severity, disturbance frequency, mowing frequency, grazing pressure and soil disturbance. The first two indicators are provided separately for the whole community and the herb layer., We report a data set of disturbance indicator values identifying mean optima along gradients of natural and anthropogenic disturbance for 6,382 vascular plant species based on the analysis of 736,366 European vegetation plots and using an expert-based characterization of disturbance regimes in 236 habitat types. The indicator values presented here are crucial for integrating disturbance niche optima in large-scale assessments of vegetation and macroecological studies., Peer reviewed

The newly developed Ecological Indicator Values for Europe (EIVE) 1.0, together with all source systems in a flexible, harmonised open access database. Supplementary material 2: The analysed 31 EIV systems with original and harmonised plant nomenclature and original and rescaled indicator values for M, N, R, L and T (*.xlsx). Supplementary material 3: Documentation of additions to and modifications of the taxonomic backbone from Euro+Med (2022) in EIVE 1.0 (*.xslx). Supplementary material 8: EIVE 1.0 indicator values for niche position and niche width of M, N, R, L and T (*.xlsx)., Peer reviewed

APPENDIX 1. THE NETLOGO MODEL, [Introduction] Whether the distribution and assembly of plant species are adapted to current climates or legacy effects poses a problem for their conservation during ongoing climate change. The alpine regions of southern and central Europe are compared to those of the western United States and Canada because they differ in their geographies and histories., [Methods] Individual-based simulation experiments disentangled the role of geography in species adaptations and legacy effects in four combinations: approximations of observed alpine geographies vs. regular lattices with the same number of regions (realistic and null representations), and virtual species with responses to either climatic or simple spatial gradients (adaptations or legacy effects). Additionally, dispersal distances were varied using five Gaussian kernels. Because the similarity of pairs of regional species pools indicated the processes of assembly at extensive spatiotemporal scales and is a measure of beta diversity, this output of the simulations was correlated to observed similarity for Europe and North America., [Results] In North America, correlations were highest for simulations with approximated geography and location-adapted species; those in Europe had their highest correlation with the lattice pattern and climate-adapted species. Only SACEU correlations were sensitive to dispersal limitation., [Discussion] The southern and central European alpine areas are more isolated and with more distinct climates to which species are adapted. In the western United States and Canada, less isolation and more mixing of species from refugia has caused location to mask climate adaptation. Among continents, the balance of explanatory factors for the assembly of regional species pools will vary with their unique historical biogeographies, with isolation lessening disequilibria., Peer reviewed

Table A1. The locations of the regions on the grid of cells (given as the x,y coordinates of a center cell), the radius of their representative circles, and the variables defining their climates (HQT – hot quarter temperature, HQP – hot quarter precipitation, SWE – snow water equivalent)., [Introduction] Whether the distribution and assembly of plant species are adapted to current climates or legacy effects poses a problem for their conservation during ongoing climate change. The alpine regions of southern and central Europe are compared to those of the western United States and Canada because they differ in their geographies and histories., [Methods] Individual-based simulation experiments disentangled the role of geography in species adaptations and legacy effects in four combinations: approximations of observed alpine geographies vs. regular lattices with the same number of regions (realistic and null representations), and virtual species with responses to either climatic or simple spatial gradients (adaptations or legacy effects). Additionally, dispersal distances were varied using five Gaussian kernels. Because the similarity of pairs of regional species pools indicated the processes of assembly at extensive spatiotemporal scales and is a measure of beta diversity, this output of the simulations was correlated to observed similarity for Europe and North America., [Results] In North America, correlations were highest for simulations with approximated geography and location-adapted species; those in Europe had their highest correlation with the lattice pattern and climate-adapted species. Only SACEU correlations were sensitive to dispersal limitation., [Discussion] The southern and central European alpine areas are more isolated and with more distinct climates to which species are adapted. In the western United States and Canada, less isolation and more mixing of species from refugia has caused location to mask climate adaptation. Among continents, the balance of explanatory factors for the assembly of regional species pools will vary with their unique historical biogeographies, with isolation lessening disequilibria., Peer reviewed

Appendix 2 Table A3. Sorenson similarity between pairs of the 23 mountain ranges of southern and central Europe (SACEU)., [Introduction] Whether the distribution and assembly of plant species are adapted to current climates or legacy effects poses a problem for their conservation during ongoing climate change. The alpine regions of southern and central Europe are compared to those of the western United States and Canada because they differ in their geographies and histories., [Methods] Individual-based simulation experiments disentangled the role of geography in species adaptations and legacy effects in four combinations: approximations of observed alpine geographies vs. regular lattices with the same number of regions (realistic and null representations), and virtual species with responses to either climatic or simple spatial gradients (adaptations or legacy effects). Additionally, dispersal distances were varied using five Gaussian kernels. Because the similarity of pairs of regional species pools indicated the processes of assembly at extensive spatiotemporal scales and is a measure of beta diversity, this output of the simulations was correlated to observed similarity for Europe and North America., [Results] In North America, correlations were highest for simulations with approximated geography and location-adapted species; those in Europe had their highest correlation with the lattice pattern and climate-adapted species. Only SACEU correlations were sensitive to dispersal limitation., [Discussion] The southern and central European alpine areas are more isolated and with more distinct climates to which species are adapted. In the western United States and Canada, less isolation and more mixing of species from refugia has caused location to mask climate adaptation. Among continents, the balance of explanatory factors for the assembly of regional species pools will vary with their unique historical biogeographies, with isolation lessening disequilibria., Peer reviewed

The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. The Global SPEI database, SPEIbase, offers long-time, robust information on the drought conditions at the global scale, with a 0.5 degrees spatial resolution and a monthly time resolution. It has a multi-scale character, providing SPEI time-scales between 1 and 48 months. The Standardized Precipitatin-Evapotranspiration Index (SPEI) expresses, as a standardized variate (mean zero and unit variance), the deviations of the current climatic balance (precipitation minus evapotranspiration potential) with respect to the long-term balance. The reference period for the calculation, in the SPEIbase, corresponds to the whole study period. Being a standardized variate means that the SPEI condition can be compared across space and time. Calculation of the evapotranspiration potential in SPEIbase is based on the FAO-56 Penman-Monteith method. Data type: float; units: z-values (standard deviations). No land pixels are assigned a value of 1.0x10^30. In some rare cases it was not possible to achieve a good fit to the log-logistic distribution, resulting in a NAN (not a number) value in the database. Dimensions of the dataset: lon = 720; lat = 360; time = 1476. Resolution of the dataset: lon = 0.5º; lat = 0.5º; time = 1 month. Created in R using the SPEI package (http://cran.r-project.org/web/packages/SPEI)., Global gridded dataset of the Standardized Precipitation-Evapotranspiration Index (SPEI) at time scales between 1 and 48 months.-- Spatial resolution of 0.5º lat/lon.-- This is an update of the SPEIbase v2.9 (https://digital.csic.es/handle/10261/332007).-- What’s new in version 2.10: 1) Based on the CRU TS 4.08 dataset, spanning the period between January 1901 to December 2023. For more details on the SPEI visit http://sac.csic.es/spei, No