2019
DOI: 10.1002/aqc.3153
|View full text |Cite
|
Sign up to set email alerts
|

Fine‐scale habitat partitioning of Chilean and Peale's dolphins and their overlap with aquaculture

Abstract: 1. Predictive species distribution models (SDMs) have become powerful tools to determine habitat use patterns of mobile marine predators and their spatial overlap with potentially impacting anthropogenic activities.2. This study used SDMs to investigate fine-scale habitat use patterns of two poorly known and broadly sympatric coastal delphinids, Chilean dolphins (Cephalorhynchus eutropia) and Peale's dolphins (Lagenorhynchus australis), and their spatial interactions with intense aquaculture farming activities… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

4
35
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 14 publications
(39 citation statements)
references
References 77 publications
4
35
0
Order By: Relevance
“…Concurrently, the GAM results explained between 34.7 and 41.1% of the total deviance for those species, which is similar to, or better than, the values achieved for cetacean species in many other studies [e.g. 8,35,36]. The MaxEnt models for those three species had moderate discriminatory power with AUC values of 0.60 to 0.69, although those values are lower than those achieved for MaxEnt modelling of cetacean species in some other studies [e.g.…”
Section: Model Performancesupporting
confidence: 81%
See 2 more Smart Citations
“…Concurrently, the GAM results explained between 34.7 and 41.1% of the total deviance for those species, which is similar to, or better than, the values achieved for cetacean species in many other studies [e.g. 8,35,36]. The MaxEnt models for those three species had moderate discriminatory power with AUC values of 0.60 to 0.69, although those values are lower than those achieved for MaxEnt modelling of cetacean species in some other studies [e.g.…”
Section: Model Performancesupporting
confidence: 81%
“…They estimate the statistical relationships between spatial and temporal species presence and environmental factors, and generate models with some level of predictive power [4]. Model outputs have conservation applications including predicting species occurrence in areas of unsurveyed habitat [5], predicting where species may overlap with anthropogenic activities [6][7][8], and predicting changes in species distribution range in response to environmental factors [9]. Cetacean occurrence is usually modelled against a range of topographic (e.g.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Combined, these findings provide insight into how these sympatric species may use different depth gradients to avoid competition for resources within the coastal environment of the Benguela Current ecosystem (Elwen et al, 2010;Heinrich et al, 2010). A similar pattern in habitat partitioning has been reported off Chile between Chilean and Peale's dolphins (Lagenorhynchus australis), another sympatric Cephalorhynchus and Lagenorhynchus combination (Heinrich et al, 2010(Heinrich et al, , 2019.…”
Section: Discussionsupporting
confidence: 65%
“…Heaviside's dolphins are facing increasing anthropogenic impacts in both the coastal and shelf regions of their habitat as both Namibian ports (Walvis Bay and Lüderitz) are undergoing or planning major expansion, and there is continued exploration and mining for hydrocarbons, diamonds and marine phosphates at sea. The strong site fidelity of Heaviside's dolphins (Elwen et al, 2006;Davis et al, 2014) makes them more vulnerable to localized impacts compared to a more widely ranging species like dusky dolphins, and this needs to be considered for effective population management (Heinrich et al, 2019). Studies of satellite tagged Heaviside's dolphins off South Africa show that the home ranges of individuals lie adjacent to the coast, with maximum recorded offshore distances up to 33 km (Elwen et al, 2006;Davis et al, 2014).…”
Section: Discussionmentioning
confidence: 99%