scholarly journals Impacts of climate change and species distribution modelling: Future scenarios to invasive alien lionfish distribution in the Mediterranean Sea

2019 ◽  
Vol 3 ◽  
Author(s):  
Cemal Turan
Keyword(s):  
Species Richness ◽  
Mediterranean Sea ◽  
Species Distribution ◽  
Marine Species ◽  
Species Distribution Modelling ◽  
Climatic Data ◽  
Niche Modelling ◽  
Distribution Modelling ◽  
Pterois Miles ◽  
The Mediterranean

The progress on species distribution modelling (SDM) methods has brought new insights into the field of biological invasion management. In particular, statistical niche modelling, for spatio-temporal predictions of marine species’ distribution, is an increasingly used tool, supporting efficient decision-making for prevention and conservation. Earth's climate has changed significantly in the last century and the number of alien species penetrating from Indo-Pacific Ocean and South part of the Atlantic in the Mediterranean will continue to increase over the next decades. The purpose of the present study was to predict the potential geographic distribution and expansion of invasive alien lionfish (Pterois miles and Pterois volitans) with ecological niche modelling along the Mediterranean Sea. Temporal and spatial occurrence data from the first occurrence of a species for each country with coast along the Mediterranean Sea, was used to develop robust predictions of species richness, since the capacity to predict spatial patterns of species richness remains largely unassessed in this region. Marine climatic data layers were collected from the Bio-ORACLE and MARSPEC global databases. Different statistical models were evaluated to establish if these could provide useful predictions of absolute and relative lionfish distribution and expansion. The findings are an important step towards validating the use of SDM for invasive alien lionfish in the Mediterranean Sea.

scholarly journals Species Distribution Modelling Using Deep Learning

2019 ◽  
Vol 3 ◽  
Author(s):  
Rutger Vos ◽  
Mark Rademaker ◽  
Laurens Hogeweg
Keyword(s):  
Deep Learning ◽  
Species Distribution ◽  
Large Scale ◽  
Species Distribution Modelling ◽  
Climate Change Scenarios ◽  
Niche Modelling ◽  
Distribution Modelling ◽  
Biodiversity Science ◽  
Learning Techniques ◽  
Correlative Models

Species distribution modelling, or ecological niche modelling, is a collection of techniques for the construction of correlative models based on the combination of species occurrences and GIS data. Using such models, a variety of research questions in biodiversity science can be investigated, among which are the assessment of habitat suitability around the globe (e.g. in the case of invasive species), the response of species to alternative climatic regimes (e.g. by forecasting climate change scenarios, or by hindcasting into palaeoclimates), and the overlap of species in niche space. The algorithms used for the construction of such models include maximum entropy, neural networks, and random forests. Recent advances both in computing power and in algorithm development raise the possibility that deep learning techniques will provide valuable additions to these existing approaches. Here, we present our recent findings in the development of workflows to apply deep learning to species distribution modelling, and discuss the prospects for the large-scale application of deep learning in web service infrastructures to analyze the growing corpus of species occurrence data in biodiversity information facilities.

scholarly journals Mediterranean Red Macro Algae Mats as Habitat for High Abundances of Serpulid Polychaetes

Diversity ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 265
Author(s):  
Felix I. Rossbach ◽  
Edoardo Casoli ◽  
Milan Beck ◽  
Christian Wild
Keyword(s):  
Species Richness ◽  
Mediterranean Sea ◽  
Habitat Type ◽  
Marine Species ◽  
Abundant Species ◽  
Posidonia Oceanica ◽  
Conservation Strategies ◽  
Tyrrhenian Sea ◽  
The Mediterranean ◽  
Taxonomic Groups

The Mediterranean Sea harbors more than 17,000 eukaryotic marine species, with several ecosystems recognized as biodiversity hotspots, such as Posidonia oceanica meadows. Recent research indicates that benthic mats formed by the fleshy red alga Phyllophora crispa are also associated with high species richness. Among key groups found in these mats are sessile polychaetes, which live as epiphytes on the red algae thalli. Knowledge of abundance, species richness, and spatial variation of polychaetes associated with these habitats is still scarce. We carried out a comparative assessment focusing on serpulid polychaetes within samples from P. crispa mats and neighboring P. oceanica meadows at six different sampling sites around Giglio Island (Tyrrhenian Sea, Italy). A total of 17 serpulid taxa were identified. The abundance of serpulids (5665 individuals m−2 of P. crispa mat) were similar to neighboring P. oceanica meadows (2304 individuals m−2 leaves and 5890 individuals m−2 shoots). The number of serpulid taxa was significantly higher in P. crispa mats (average 6.63 ± 1.32 taxa) compared to P. oceanica beds (average 1.56 ± 0.63 and 1.84 ± 1.04 taxa in leaves and shoots, respectively). Within habitat type, there were no significant differences in species richness between sites. The most abundant species found was Josephella marenzelleri (61% of individuals), while Vermiliopsis spp. and Bathyvermilia sp. were exclusively found in P. crispa samples. Our results highlight that P. crispa mats host an exceptional diversity and that these habitats should be included in conservation strategies. Further research should focus on the significance of other important taxonomic groups within these mats and evaluate the distribution of P. crispa in different regions of the Mediterranean Sea.

scholarly journals Updating the occurrences of Pterois miles in the Mediterranean Sea, with considerations on thermal boundaries and future range expansion

2020 ◽  
Vol 21 (1) ◽  
pp. 62
Author(s):  
CHARALAMPOS DIMITRIADIS ◽  
MARIKA GALANIDI ◽  
ARGYRO ZENETOS ◽  
MARIA CORSINI-FOKA ◽  
IOANNIS GIOVOS ◽  
...  
Keyword(s):  
Climate Change ◽  
Mediterranean Sea ◽  
Range Expansion ◽  
Aegean Sea ◽  
Species Distribution Modelling ◽  
Limiting Factor ◽  
Climate Change Scenarios ◽  
Pterois Miles ◽  
Levantine Sea ◽  
The Mediterranean

Here we present an update of the Mediterranean distribution of the lionfish Pterois miles, based on a comprehensive list of geo-referenced occurrences up to October 2019. New data were provided by multiple reporting tools and citizen science initiatives. Our findings suggest that well established populations of P. miles exist in the Levantine Sea, in the southern and central Aegean Sea, as well as in the Greek Ionian Sea, whilst so far, only a few individuals were reported from Tunisia and southern Sicily (Italy). We also argue about the future expansion of this invasive species in the Mediterranean region and about the role of climate change by projecting the limits of winter isotherms under different climate change scenarios. Under the assumption that the mean winter sea surface temperature is the main limiting factor of the range expansion of the species (i.e. 15.3oC winter isotherm), P. miles could substantially expand in the Mediterranean Sea, except the coolest northernmost regions, under future climatic scenarios. These results were discussed in comparison to published outcomes of species distribution modelling.

Bio-ORACLE: a global environmental dataset for marine species distribution modelling

2011 ◽  
Vol 21 (2) ◽  
pp. 272-281 ◽  
Author(s):  
Lennert Tyberghein ◽  
Heroen Verbruggen ◽  
Klaas Pauly ◽  
Charles Troupin ◽  
Frederic Mineur ◽  
...  
Keyword(s):  
Species Distribution ◽  
Marine Species ◽  
Species Distribution Modelling ◽  
Distribution Modelling ◽  
Global Environmental
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