Machine learning in marine ecology: an overview of techniques and applications

P Rubbens, S Brodie, T Cordier… - ICES Journal of …, 2023 - academic.oup.com
Abstract Machine learning covers a large set of algorithms that can be trained to identify
patterns in data. Thanks to the increase in the amount of data and computing power …

Benthos distribution modelling and its relevance for marine ecosystem management

H Reiss, S Birchenough, A Borja… - ICES Journal of …, 2015 - academic.oup.com
The marine ecosystem is known to be influenced by a combination of physical, chemical,
and biological components, which has a direct influence on the integrity of species and …

A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants

E Kaky, V Nolan, A Alatawi, F Gilbert - Ecological Informatics, 2020 - Elsevier
Understanding the relationship between the geographical distribution of taxa and their
environmental conditions is a key concept in ecology and conservation. The use of …

Maxent modeling for predicting the potential distribution of medicinal plant, Justicia adhatoda L. in Lesser Himalayan foothills

XQ Yang, SPS Kushwaha, S Saran, J Xu, PS Roy - Ecological engineering, 2013 - Elsevier
The population of the medicinal plant, Malabar nut (Justicia adhatoda L.) is shrinking in Dun
valley due to habitat fragmentation, invasion by Lantana camara, over-exploitation, and an …

Meta-analysis reveals less sensitivity of non-native animals than natives to extreme weather worldwide

S Gu, T Qi, JR Rohr, X Liu - Nature Ecology & Evolution, 2023 - nature.com
Extreme weather events (EWEs; for example, heatwaves, cold spells, storms, floods and
droughts) and non-native species invasions are two major threats to global biodiversity and …

Climate change projections of commercial fish distribution and suitable habitat around north western Europe

BL Townhill, E Couce, J Tinker, S Kay… - Fish and …, 2023 - Wiley Online Library
Under future climate change, modification of temperature and salinity are expected to result
in distribution shifts of marine organisms, including commercial fish and shellfish. Changes …

The predictive performance and stability of six species distribution models

RY Duan, XQ Kong, MY Huang, WY Fan, ZG Wang - PloS one, 2014 - journals.plos.org
Background Predicting species' potential geographical range by species distribution models
(SDMs) is central to understand their ecological requirements. However, the effects of using …

The application of DNA barcodes for the identification of marine crustaceans from the North Sea and adjacent regions

MJ Raupach, A Barco, D Steinke, J Beermann… - PloS one, 2015 - journals.plos.org
During the last years DNA barcoding has become a popular method of choice for molecular
specimen identification. Here we present a comprehensive DNA barcode library of various …

Species Distribution Modelling performance and its implication for Sentinel-2-based prediction of invasive Prosopis juliflora in lower Awash River basin, Ethiopia

N Ahmed, C Atzberger, W Zewdie - Ecological Processes, 2021 - Springer
Abstract Background Species Distribution Modelling (SDM) coupled with freely available
multispectral imagery from Sentinel-2 (S2) satellite provides an immense contribution in …

Predicting habitat suitability and niche dynamics of Dactylorhiza hatagirea and Rheum webbianum in the Himalaya under projected climate change

IA Wani, S Khan, S Verma, FA Al-Misned, HM Shafik… - Scientific Reports, 2022 - nature.com
In the era of anthropocene, global warming tends to alter the distribution range of the plant
species. Highly fragile to such changes are the species that are endemic, inhabit higher …