scholarly journals Combining fisheries surveys to inform marine species distribution modelling

2020 ◽  
Vol 77 (2) ◽  
pp. 539-552 ◽  
Author(s):  
Meadhbh Moriarty ◽  
Suresh A Sethi ◽  
Debbi Pedreschi ◽  
T Scott Smeltz ◽  
Chris McGonigle ◽  
...  

Abstract Ecosystem-scale examination of fish communities typically involves creating spatio-temporally explicit relative abundance distribution maps using data from multiple fishery-independent surveys. However, sampling performance varies by vessel and sampling gear, which may influence estimated species distribution patterns. Using GAMMs, the effect of different gear–vessel combinations on relative abundance estimates at length was investigated using European fisheries-independent groundfish survey data. We constructed a modelling framework for evaluating relative efficiency of multiple gear–vessel combinations. 19 northeast Atlantic surveys for 254 species-length combinations were examined. Space-time variables explained most of the variation in catches for 181/254 species-length cases, indicating that for many species, models successfully characterized distribution patterns when combining data from disparate surveys. Variables controlling for gear efficiency explained substantial variation in catches for 127/254 species-length data sets. Models that fail to control for gear efficiencies across surveys can mask changes in the spatial distribution of species. Estimated relative differences in catch efficiencies grouped strongly by gear type, but did not exhibit a clear pattern across species’ functional forms, suggesting difficulty in predicting the potential impact of gear efficiency differences when combining survey data to assess species’ distributions and highlighting the importance of modelling approaches that can control for gear differences.

2018 ◽  
Vol 40 (2) ◽  
pp. 162 ◽  
Author(s):  
Victoria M. Marshall ◽  
David A. Taggart ◽  
Bertram Ostendorf

Understanding factors determining the distribution of a species is critical for developing strategies and policies in natural resources management. The southern hairy-nosed wombat (Lasiorhinus latifrons) is an excellent model species to examine species distribution patterns because of its conspicuous burrowing behaviour, making it possible to obtain highly accurate distribution maps. The aim of this study was to evaluate the relative importance of biophysical factors impacting on the species’ distribution at regional and continental scales. At the fine scale, we digitised the distribution of individual warrens within a population, whereas at the continental scale we utilised the entire species’ distribution. At the regional level, the strongest predictors of burrowing activity were soil characteristics and geology with little influence of climate. In contrast, at the continental scale, species distribution was most strongly influenced by climatic variables, with most of the distribution located in regions with narrow ranges of mean annual maximum temperature (23−25°C) and mean annual rainfall (200–300 mm). This discrepancy suggests that the species’ distribution is limited to small geographic areas where both a suitable climate and appropriate soil and geology exist and, consequently, that conservation strategies need to adopt a long-term view considering the combined effect of both regional and continental factors.


2017 ◽  
Vol 9 (1) ◽  
pp. 98-108 ◽  
Author(s):  
Veronica F. Frans ◽  
Amélie A. Augé ◽  
Hendrik Edelhoff ◽  
Stefan Erasmi ◽  
Niko Balkenhol ◽  
...  

Author(s):  
Trevor A. Norton

SynopsisMaps are shown to be the most striking way of displaying the distribution of marine species on a geographical scale. They have been used to indicate not only the presence or absence of a species, but also its abundance. A single map only records the distribution pattern at a particular moment in time, but repeated mapping clearly demonstrates temporal fluctuations. Many ecological insights have been derived from distribution maps especially when they are compared with records of environmental factors such as substratum type, current velocity or temperature. Moreover maps actually stimulate experimental work which seeks to explain the distribution patterns displayed.


Author(s):  
Cemal Turan

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.


2015 ◽  
Vol 3 ◽  
pp. e4900 ◽  
Author(s):  
John Wood ◽  
Fabio Moretzsohn ◽  
James Gibeaut

2014 ◽  
Vol 73 (2) ◽  
pp. 401-417 ◽  
Author(s):  
Eva Kabaš ◽  
Vera Batanjski ◽  
Vera Batanjski ◽  
Peter Glasnović ◽  
Dražen Vicić ◽  
...  

Abstract The aim of this paper was firstly to describe the ecological and geographical differentiation of the four maple species (Acer spp.) in Serbia and Kosovo based on floristic and phytocoenological data, and secondly, to model their distributions in order to predict which areas the species can be expected in. The intention was also to compare the resulting prediction maps with the available field records and see whether there are any differences between the actual and the predicted ranges. The data set included 1979 species records and each record was accompanied by geographic coordinates. The geographi-cal analysis was performed on the chorological data (latitude, longitude, altitude), while the ecological was based on vegetation data relating to the association, alliance, order and class as well as on 19 bioclimatic parameters. The data set was georeferenced using GIS tools. The results demonstrated that the distribution patterns of all the analyzed species are mostly affected by the limiting effects of the variables related to precipitation and temperature of the dry and also the warm period. Their synergic limiting effects are the most important force shaping distribution patterns within a territory. These findings highlight the importance of defining bioclimatic profiles of species using different techniques of distribution modelling.


Phytotaxa ◽  
2016 ◽  
Vol 259 (1) ◽  
pp. 18 ◽  
Author(s):  
TERENCE D. PENNINGTON

The neotropical species of Trichilia are revised. The last major treatment of the group was published in 1981 and 3500 additional collections are examined for the present study. Eighty-one species are recognized, a key to the species is provided, all names are typified and descriptions of all species are given. Substantial changes to the known distribution patterns are documented for species. Distribution maps of all species are provided. Ten new species and one new subspecies are described.


2011 ◽  
Vol 21 (2) ◽  
pp. 272-281 ◽  
Author(s):  
Lennert Tyberghein ◽  
Heroen Verbruggen ◽  
Klaas Pauly ◽  
Charles Troupin ◽  
Frederic Mineur ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document