Search results for "Maxent"
showing 10 items of 12 documents
A geo-statistical predictive approach to the Habitat mapping of Vulnerable Marine Ecosystems along the northern Sicily inner continental shelf (south…
2016
The main aim of this work is to statistically predict the distribution of Vulnerable Marine Ecosystems (VMEs) along the continental shelf regions of the northern Sicilian margin (southern Mediterranean). The considered habitats, already mapped in the area on a qualitative base, are the Posidonia oceanica and Cymodocea nodosa seagrasses and the Coralligenous biocenosis. Posidonia oceanica and Coralligenous are considered as VMEs owing to their value as environmental indicators and biodiversity hotspots in coastal marine areas. For this reason, several actions were aimed in recent years to their complete characterization and mapping. The study area is located in the continental shelf of the n…
Caratterizzazione e Habitat mapping del Coralligeno di piattaforma lungo il margine continentale della Sicilia nord-occidentale
2017
Il Coralligeno di piattaforma è un indicatore ambientale e hotspot di biodiversità nelle zone marine costiere. Poiché esso viene considerato un ecosistema marino vulnerabile, numerose sono le azioni volte alla sua completa caratterizzazione e mappatura. L'obiettivo del lavoro è di confrontare differenti metodologie utilizzate nell’analisi della distribuzione del Coralligeno di piattaforma, applicate al settore offshore della Sicilia nord-occidentale. Il focus del lavoro consiste nell’evidenziare come l’approccio multidisciplinare sia fondamentale nelle fasi di individuazione, caratterizzazione e predizione statistica della distribuzione delle associazioni biocenotiche, al fine di eseguire u…
Large-scale distribution analysis of Antarctic echinoids using ecological niche modelling.
2012
Understanding the factors that determine the distribution of taxa at various spatial scales is a crucial challenge in the context of global climate change. This holds particularly true for polar marine biota that are composed of both highly adapted and vulnerable faunas. We analysed the distribution of 2 Antarctic echinoid species, Sterechinus antarcticus and S. neumayeri, at the scale of the entire Southern Ocean using 2 niche modelling procedures. The performance of distribution models was tested with regard to the known ecology of the species. The respective contributions of environmental parameters are discussed along with the putative roles played by biotic interactions and biogeograph…
Reciprocal extrapolation of species distribution models between two islands – Specialists perform better than generalists and geological data reduces…
2020
Abstract This study aims to test the extrapolation effects of species distribution models (SDM) using three groups of predictor variables: climate, relief and geology (bedrock type). We highlight potential ecological differences for selected taxa, regarding both generalists and specialists in terms of edaphic conditions. We used distributional data of 12 woody species shared by two large Mediterranean islands (Crete and Sicily) to calibrate Maxent models of their potential distribution. We trained models with data from Crete and extrapolated to Sicily and vice versa. We tested ten proxies for the three variable groups and compared AUC values as a measure of model performance. Extrapolation …
Evaluation of multi-hazard map produced using MaxEnt machine learning technique.
2021
Abstract Natural hazards are diverse and uneven in time and space, therefore, understanding its complexity is key to save human lives and conserve natural ecosystems. Reducing the outputs obtained after each modelling analysis is key to present the results for stakeholders, land managers and policymakers. So, the main goal of this survey was to present a method to synthesize three natural hazards in one multi-hazard map and its evaluation for hazard management and land use planning. To test this methodology, we took as study area the Gorganrood Watershed, located in the Golestan Province (Iran). First, an inventory map of three different types of hazards including flood, landslides, and gul…
Exploiting Maximum Entropy method and ASTER data for assessing debris flow and debris slide susceptibility for the Giampilieri catchment (north-easte…
2016
This study aims at evaluating the performance of the Maximum Entropy method in assessing landslide susceptibility, exploiting topographic and multispectral remote sensing predictors. We selected the catchment of the Giampilieri stream, which is located in the north-eastern sector of Sicily (southern Italy), as test site. On 1 October 2009, a storm rainfall triggered in this area hundreds of debris flow/avalanche phenomena causing extensive economical damage and loss of life. Within this area a presence-only-based statistical method was applied to obtain susceptibility models capable of distinguishing future activation sites of debris flow and debris slide, which where the main source of fai…
A hierarchical Bayesian Beta regression approach to study the effects of geographical genetic structure and spatial autocorrelation on species distri…
2019
Global climate change (GCC) may be causing distribution range shifts in many organisms worldwide. Multiple efforts are currently focused on the development of models to better predict distribution range shifts due to GCC. We addressed this issue by including intraspecific genetic structure and spatial autocorrelation (SAC) of data in distribution range models. Both factors reflect the joint effect of ecoevolutionary processes on the geographical heterogeneity of populations. We used a collection of 301 georeferenced accessions of the annual plant Arabidopsis thaliana in its Iberian Peninsula range, where the species shows strong geographical genetic structure. We developed spatial and nonsp…
Ocena możliwości potencjalnej ekspansji prześwietlika dębowego Corythucha arcuata (Say, 1832), inwazyjnego gatunku z rodziny Tingidae (Hemiptera: Het…
2020
Corythucha arcuata, the North American oak lace bug feeding on leaves of “white oaks” in its native range, was discovered in Europe in 2000 (in northern Italy). Since that time it has spread rapidly in several European countries where its population outbreaks have been observed. However, the species was not reported from Poland, so far. In this study the potential geographic distribution of Corythucha arcuata was modelled using maximum entropy (Max-Ent) in order to predict the regions of Poland where it would have found the best environmental conditions for its further spread. The results showed that the highest habitat suitability areas were located in the central-eastern parts…
Quo Vadis, Orthotrichum pulchellum? A Journey of Epiphytic Moss across the European Continent
2022
Orthotrichum pulchellum is a species of epiphytic moss in which a significant expansion from the oceanic part of Europe to the east of the continent has been observed in the recent two decades. The improvement in air quality in Central and Eastern Europe, but also climate change, probably plays a role in this. This study shows what direction of its spreading we can expect in the future. Ecological niche modeling (ENM) is a widespread method to find out species niches in environmental and geographical space, which allows us to highlight areas that have a higher probability of occurrences of the studied species, based on identifying similar environmental conditions to those already known. We …