Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes

What are the most crucial soil variables for predicting the distribution of mountain plant species? A comprehensive study in the Swiss Alps

(2020) Aline Buri et al.   JOURNAL OF BIOGEOGRAPHY

Forest microclimate dynamics drive plant responses to warming

(2020) Florian Zellweger et al.   SCIENCE

Ecological indicator values reveal missing predictors of species distributions

(2019) Daniel Scherrer et al.   Scientific Reports

Spatial modelling of soil water holding capacity improves models of plant distributions in mountain landscapes

(2019) C. Cianfrani et al.   PLANT AND SOIL

Beyond climate control on species range: The importance of soil data to predict distribution of Amazonian plant species

(2017) Fernando O. G. Figueiredo et al.   JOURNAL OF BIOGEOGRAPHY

Soil factors improve predictions of plant species distribution in a mountain environment

(2017) Aline Buri et al.   PROGRESS IN PHYSICAL GEOGRAPHY

Tree species distribution in temperate forests is more influenced by soil than by climate

(2017) Lorenz Walthert et al.   Ecology and Evolution

SoilGrids250m: Global gridded soil information based on machine learning

(2017) Tomislav Hengl et al.   PLoS One

An overview and comparison of machine-learning techniques for classification purposes in digital soil mapping

(2016) Brandon Heung et al.   GEODERMA

What we use is not what we know: environmental predictors in plant distribution models

(2016) Heidi K. Mod et al.   JOURNAL OF VEGETATION SCIENCE

Here be dragons: a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models

(2014) Mohsen B. Mesgaran et al.   DIVERSITY AND DISTRIBUTIONS

Tree cover at fine and coarse spatial grains interacts with shade tolerance to shape plant species distributions across the Alps

(2014) Diego Nieto-Lugilde et al.   ECOGRAPHY

Vegetation Mediates Soil Temperature and Moisture in Arctic-Alpine Environments

(2013) Juha Aalto et al.   ARCTIC ANTARCTIC AND ALPINE RESEARCH

Predicting species distributions for conservation decisions

(2013) Antoine Guisan et al.   ECOLOGY LETTERS

Shortage of nutrients and excess of toxic elements in soils limit the distribution of soil-sensitive tree species in temperate forests

(2013) Lorenz Walthert et al.   FOREST ECOLOGY AND MANAGEMENT

EarthEnv-DEM90: A nearly-global, void-free, multi-scale smoothed, 90m digital elevation model from fused ASTER and SRTM data

(2013) Natalie Robinson et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

On the importance of edaphic variables to predict plant species distributions - limits and prospects

(2013) Wilfried Thuiller   JOURNAL OF VEGETATION SCIENCE

Very high resolution environmental predictors in species distribution models

(2013) Jean-Nicolas Pradervand et al.   PROGRESS IN PHYSICAL GEOGRAPHY

Predicting Ellenberg's soil moisture indicator value in the Bavarian Alps using additive georegression

(2012) Tim Häring et al.   APPLIED VEGETATION SCIENCE

Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

(2012) Carsten F. Dormann et al.   ECOGRAPHY

Local temperatures inferred from plant communities suggest strong spatial buffering of climate warming across Northern Europe

(2012) Jonathan Lenoir et al.   GLOBAL CHANGE BIOLOGY

Improving the prediction of plant species distribution and community composition by adding edaphic to topo-climatic variables

(2012) Anne Dubuis et al.   JOURNAL OF VEGETATION SCIENCE

Digital Soil Mapping and Modeling at Continental Scales: Finding Solutions for Global Issues

(2011) S. Grunwald et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

Mapping soil water holding capacity over large areas to predict potential production of forest stands

(2010) Christian Piedallu et al.   GEODERMA

Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data

(2009) Steven J. Phillips et al.   ECOLOGICAL APPLICATIONS

Comparing indicators of N status of 50 beech stands (Fagus sylvatica L.) in northeastern France

(2009) Kasaina Sitraka Andrianarisoa et al.   FOREST ECOLOGY AND MANAGEMENT

Use of Community-Composition Data to Predict the Fecundity and Abundance of Species

(2008) SARAH C. ELMENDORF et al.   CONSERVATION BIOLOGY