Novel application of a quantitative spatial comparison tool to species distribution data

Jones, Esther Lane; Rendell, Luke; Pirotta, Enrico; Long, Jed A.

doi:10.1016/j.ecolind.2016.05.051

Cited by 35 publications

(41 citation statements)

References 36 publications

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“…Average bottom temperatures were 5.1 °C during the spring and 7.3 °C during fall in the "cold" climatology scenario and 9.7 °C during spring and 11.9 °C during D r a f t fall in the "warm" climatology scenario. Predicted lobster density in each cell in the warm and cool scenarios were subtracted to highlight potential differences in lobster distributions due to change in bottom temperature and salinity (Jones et al 2016).…”

Section: Mesoscale Climatic Impacts On Lobster Distributionmentioning

confidence: 99%

Mesoscale climatic impacts on the distribution ofHomarus americanusin the US inshore Gulf of Maine

Tanaka

Chang

Xue

et al. 2019

Can. J. Fish. Aquat. Sci.

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American lobster (Homarus americanus) supports one of the most valuable fisheries in the United States. Spatial distributions of H. americanus are hypothesized to be influenced by climate-driven environmental factors, but such effects have not been quantified. We developed a Tweedie generalized additive model (GAM) to quantify environmental effects on season-, sex-, and size-specific distributions of H. americanus in the inshore Gulf of Maine. Tweedie GAMs were coupled with regional circulation model output to predict spatiotemporal changes in distribution of H. americanus due to mesoscale climate variability. GAM results indicated that bottom temperature and salinity impacts on H. americanus distribution were more pronounced during spring. The coupled climate–niche model predicted significantly higher H. americanus abundance under a warm climatology scenario. This study provides a predictive climate–niche modelling framework that may be useful for planning fishery investments and anticipating management challenges given ongoing climate-driven changes in the Northwest Atlantic.

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Section: Mesoscale Climatic Impacts On Lobster Distributionmentioning

confidence: 99%

Mesoscale climatic impacts on the distribution ofHomarus americanusin the US inshore Gulf of Maine

Tanaka

Chang

Xue

et al. 2019

Can. J. Fish. Aquat. Sci.

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“…Adult females and their offspring form stable social units, and males, once they reach puberty, segregate from the units and form small male‐only aggregations (bachelor groups), becoming increasingly solitary as they mature and roaming alone for the rest of their lives (excepting short‐term associations with social units in mating periods; Whitehead ). The reasons for and factors influencing sexual segregation in sperm whales are still under debate, and hypotheses include differences in growth rates (males demand larger search areas to find locations with high prey concentrations), dietary needs and hence habitat preferences, and food competition (group of females prevail over solitary males when feeding on mid‐water squids; Whitehead , Jones et al ). On a global scale, this leads to different dispersal patterns and segregation by sex, with male sperm whales feeding in high latitudes and females limited mainly to low latitudes (Lyrholm et al ); on a local (Mediterranean Sea) scale, sperm whale groups by sex class may be found in sympatry (Pirotta et al , Frantzis et al , Pace et al , Rendell and Frantzis ), with indications of fine‐scale partitioning and different habitat preference of singletons and groups in a given region (Pirotta et al , Jones et al ).…”

mentioning

confidence: 99%

“…The reasons for and factors influencing sexual segregation in sperm whales are still under debate, and hypotheses include differences in growth rates (males demand larger search areas to find locations with high prey concentrations), dietary needs and hence habitat preferences, and food competition (group of females prevail over solitary males when feeding on mid‐water squids; Whitehead , Jones et al ). On a global scale, this leads to different dispersal patterns and segregation by sex, with male sperm whales feeding in high latitudes and females limited mainly to low latitudes (Lyrholm et al ); on a local (Mediterranean Sea) scale, sperm whale groups by sex class may be found in sympatry (Pirotta et al , Frantzis et al , Pace et al , Rendell and Frantzis ), with indications of fine‐scale partitioning and different habitat preference of singletons and groups in a given region (Pirotta et al , Jones et al ). Dissimilarities in habitat choices made by males and females in different social assemblages may have also practical implications for the effective management of a population because differences in spatial distribution and resource use might expose males and females to distinct threats, thus affecting population dynamics through differential mortality risk (Catry et al ).…”

mentioning

confidence: 99%

Habitat suitability modeling in different sperm whale social groups

Pace

Arcangeli

Mussi³

et al. 2018

J Wildl Manag

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The identification of significant habitats for highly mobile marine vertebrates is essential for their conservation. Evidence is often difficult to obtain for deep‐diving species such as sperm whales (Physeter macrocephalus), where standard visual survey methods are not sufficient to detect the species. Sperm whales rely on sound for most of their activities, so acoustics is a crucial tool to locate them in the environment and collect information about their daily life. We used a maximum entropy (MaxEnt) modeling approach to predict potential habitats for sperm whales during 2007–2015 in an area of the Mediterranean Sea (characterized by submarine canyon systems) where sperm whale singletons, social units of females and calves, and clusters with immature males, were regularly encountered in sympatry. Models to test species’ distribution and the potential differences between groups of varying composition and life stages were based on 3 independent variables (depth, slope, and Euclidean distance from the nearest coast) and a combination of presence‐only visual and acoustic data from boat‐based surveys. One variable (depth) was the strongest predictor in all encounters (pooled data) and clusters, whereas distance from coast and slope best predicted encounters with singletons and social units, respectively. The model predicted suitable locations in areas that were well‐known sperm whale habitat and in new regions of previously overlooked habitat, which possibly represent key areas for this endangered species in the Mediterranean. This study highlights that consideration should be taken regarding type of social aggregation when using modeling techniques for generating suitable habitat maps for conservation purposes. © 2018 The Wildlife Society.

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“…Methods for the direct unthresholded comparison of raster maps such as ENM output maps include statistical tests of pixel (grid cell) differences (Levine et al 2009) and other moments of pixel values (Wealands et al 2005, Jones et al 2016, measures of niche overlap and adaptations of the Hellinger distance between probability distributions (Warren et al 2010, Wilson 2011, thresholdfree measures of range shift and overlap (Kou et al 2014), and simple correlation between rasters (Wealands et al 2005, Syphard andFranklin 2009) A range of model performance measures are used to determine the quality of ENMs including the Area Under the receiver operating characteristic Curve (AUC) and the True Skill Score (TSS) . For presence-only models fitted with the MaxEnt program, Warren and Seifert (2011) also introduced an AIC-like measure.…”

Section: Breci Model Performance and Map Comparisonmentioning

confidence: 99%

Binned Relative Environmental Change Indicator (BRECI): A tool to communicate the nature of differences between environmental niche model outputs

Wilson

2019

Preprint

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Niche models are now widely used in many branches of the biological sciences and are often used to contrast the distribution of favouroble environments between regionsa or under changes in environmental conditions such as anthropogenic climate change. Model performance and quality assessment are accepted as best-practice when using these models. One aspect that has received far less attention is developing methods to communicate the degree and nature of changes between model outputs (typically as raster maps). The method described in this paper, Binned Environmental Change Index (BRECI), seeks to address this shortfall in communicating model results.

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Novel application of a quantitative spatial comparison tool to species distribution data

Cited by 35 publications

References 36 publications

Mesoscale climatic impacts on the distribution ofHomarus americanusin the US inshore Gulf of Maine

Mesoscale climatic impacts on the distribution ofHomarus americanusin the US inshore Gulf of Maine

Habitat suitability modeling in different sperm whale social groups

Binned Relative Environmental Change Indicator (BRECI): A tool to communicate the nature of differences between environmental niche model outputs

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