The present dataset provides a case study for species distribution modelling (SDM) and for model testing in a poorly documented marine region. The dataset includes spatially-explicit data for echinoid (Echinodermata: Echinoidea) distribution. Echinoids were collected during oceanographic campaigns led around the Kerguelen Plateau (+63°/+81°E; -46°/-56°S) since 1872. In addition to the identific...

Multiple statistical algorithms have been used for species distribution modelling (SDM). Due to shortcomings in occurrence datasets, presence-only methods (such as MaxEnt) become increasingly widely used. However, sampling bias remains a challenging issue, particularly density-based approaches. The Isolation Forest (iForest) algorithm is method less sensitive patterns and over-fitting because i...

Species Distribution Modelling (SDM) is an important tool for conservation planning and resource management. Invasive species represent a good opportunity to evaluate SDMs predictive accuracy with independent data as their invasive range can expand quickly. Thus, the aim of this study was to investigate the relationships between presence of Leucanthemum vulgare Lam. and environmental v...

The ability to map and monitor animal and plant species distributions has become more important in the context of awareness of environmental change and its effects on biodiversity (Franklin 1995; Guisan and Zimmermann 2000; Guisan and Thuiller 2005). Species distribution models (SDM) are based on the quantification of speciesenvironment relationships and have seen increasing use as the availabi...

The extent that biotic interactions and dispersal influence species ranges and diversity patterns across scales remains an open question. Answering this question requires framing an analysis on the frontier between species distribution modelling (SDM), which ignores biotic interactions and dispersal limitation, and community ecology, which provides specific predictions on community and meta-com...

The present study aims to predict the potential geographic distribution and future expansion of invasive alien lionfish (Pterois miles) with ecological niche modelling along the Mediterranean Sea. The primary data consisted of occurrence points of P. miles in the Mediterranean and marine climatic data layers were collected from global databases. All the used models run 100% su...

Species distribution modelling (SDM), also called environmental or ecological niche modelling, has developed over the last 30 years as a widely used tool in core areas of biogeography including historical biogeography, studies diversity patterns, species ranges, ecoregional classification, conservation assessment and projecting future global change impacts. In 50th anniversary year Journal Biog...

BACKGROUND AND AIMS Although extreme climatic events such as drought are known to modify forest dynamics by triggering tree dieback, the impact of extreme cold events, especially at the low-latitude margin ('rear edge') of species distributional ranges, has received little attention. The aim of this study was to examine the impact of one such extreme cold event on a population of Scots pine (Pi...

Species distribution models (SDM) are widely applied to understand changing species geographical and abundance patterns. However, existing SDM tools inherently static inadequate for modelling distributions that driven by dynamic environmental conditions. dynamicSDM provides novel explicitly consider the temporal dimension at key stages, including functions for: (a) Cleaning filtering occurrence...