Habitat Suitability Index Models for Eight Fish and Invertebrate Species in Casco and Sheepscot Bays, Maine

Brown, Stephen K.; Buja, Kenneth R.; Jury, Steven H.; Monaco, Mark E.; Banner, Arnold

doi:10.1577/1548-8675(2000)020<0408:hsimfe>2.3.co;2

Cited by 97 publications

(71 citation statements)

References 59 publications

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“…8d) that the tarpon not only experienced the cyclic tidal fluctuations of salinity change, but was also able to withstand large salinity changes (5 to 35 psu) in relatively short time intervals (a few hours). This information can help us to determine the BioSalinity Index (BSI; Christensen et al 1997) of the Atlantic tarpon, and the availability of preferred salinity habitats (Scott 1982, Brown et al 2000. When combining salinity with temperature data, one might also be able to construct a T/S diagram that could be used to identify the source of water masses (Reid & Lynn 1971).…”

Section: Discussionmentioning

confidence: 99%

Salinity measurements from pop-up archival transmitting (PAT) tags and their application to geolocation estimation for Atlantic tarpon

Luo

Ault²,

Larkin

et al. 2008

Mar. Ecol. Prog. Ser.

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A new wet/dry sensor was developed by the satellite-based pop-up archival transmitting (PAT) tag manufacturer to determine the wet and dry status of a tag, designed to indicate whether or not to initiate uplink transmissions to overhead satellites to extend tag battery life. We discovered that the wet/dry sensor can also be used to measure the salinity of coastal waters after we recovered a PAT tag showing oscillating readings of wet/dry sensor values that mimicked tidal cycles. We conducted a calibration experiment on 6 PAT tags to evaluate the stability, resolution, and accuracy of the sensor to obtain salinity measurements. Our results indicated that the wet/dry sensor was stable, and the resolution and accuracy of the sensor were good at low salinities (< 20 psu), but relatively poor at high salinities. We then provide an example showing how the salinity information can be used to improve geolocation estimation for a large coastal marine fish, the Atlantic tarpon Megalops atlanticus. KEY WORDS: Salinity · PAT tags · Wet/dry sensor · Geolocation · Atlantic tarpon Resale or republication not permitted without written consent of the publisherMar Ecol Prog Ser 357: [101][102][103][104][105][106][107][108][109] 2008 poor, due to the relatively high turbidity of coastal ocean waters. In 2006, we initiated use of a new generation of MK-10 PAT tags, manufactured by Wildlife Computers (www.wildlifecomputers.com) and equipped with a wet/dry sensor. In the course of our studies, we noted some interesting features of the recorded wet/dry sensor values that we obtained from a recovered PAT tag (Fig. 1b). We suspected that the variations of wet/dry sensor values were related to the salinity of the coastal ocean environment that the tarpon experienced during movements and migrations. Therefore, we conducted an experiment to calibrate empirical wet/dry sensor values recorded by the tag and compared these to precise salinity measurements obtained from a CTD instrument. In this article, we present the results from those experiments and discuss the potential usefulness of the salinity measurements in both refining light-level geolocation estimates and defining habitat utilization patterns for coastal fishes. MATERIALS AND METHODS Pop-up archival transmitting (PAT) tag.The PAT tag is designed to be attached to a study animal via a tether (Fig. 2). It collects data during the deployment period, and then at a pre-set date and time it pops up (releases from the study animal) and transmits archived data via the Argos satellite system. The PAT tag used in the present study is a new product (MK10) from Wildlife Computers with a new wet/dry sensor, and detailed technical specifications for the tag can be found at www. wildlifecomputers.com. The new wet/dry sensor located at the base of the antenna provides 8-bit analogto-digital conversion for measuring resistance between the sensor and the base metal ring positioned below the float, which determines the wet and/or dry (i.e. in/out of water) status of the tag. Outputs rel...

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Section: Discussionmentioning

confidence: 99%

Salinity measurements from pop-up archival transmitting (PAT) tags and their application to geolocation estimation for Atlantic tarpon

Luo

Ault²,

Larkin

et al. 2008

Mar. Ecol. Prog. Ser.

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“…The final habitat suitability map for each month was then calculated as the geo-metric mean of spatially coincident cells in the 2 input prediction maps (Step 2 of Method A). The geometric mean is commonly used to ensure that regions considered unsuitable in relation to 1 or more variables are classified as 0 regardless of the suitability at that location of other variables in the model (Brown et al 2000). To produce an overall habitat suitability map for the entire spawning season, the 4 monthly sole egg prediction models were initially scaled from 0 to 1 to ensure that each month was given equal weighting in terms of the relative importance of the habitat.…”

Section: Methodsmentioning

confidence: 99%

“…Scott 1982, Murawski & Finn 1988, D'Amours 1993, Swain & Kramer 1995, Norcross et al 1999, are often collected routinely during fisheries surveys and are relatively straightforward to map within most modern Geographical Information Systems (GIS). In contrast, biotic variables such as prey availability and benthic structural complexity, which also contribute to habitat definition (Kaiser et al 1999), are often not sampled routinely, and so are frequently excluded from habitat models and definitions purely because of a lack of data (Brown et al 2000). For models of habitat suitability that use changes in fish density as a proxy, with increasing density indicating increasing habitat suitability, a certain amount of spatial variability is therefore often left 'unexplained'.…”

Section: Introductionmentioning

confidence: 99%

“…For many of the original HSI models, the suitability indices were constructed primarily from published information on species-habitat relationships, and supplemented by expert review. Recent attempts have been directed at developing models within a GIS environment, using both published information (Christensen et al 1997, Brown et al 2000 and empirical data (Clark et al 1999, Rubec et al 1999. Models developed in this way offer immediate advantages over previous models in that the spatial limits and areal extent of various habitat suitability classes are easily mapped and quantified.…”

Section: Introductionmentioning

confidence: 99%

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Modelling spatial variations in spawning habitat suitability for the sole Solea solea using regression quantiles and GIS procedures

Eastwood¹,

Meaden²,

Grioche³

2001

Mar. Ecol. Prog. Ser.

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In order to quantify spatial variations in spawning habitat suitability for the sole Solea solea (L.), spatial models were developed within a Geographical Information System (GIS) using data on the distribution of sole eggs within the eastern English Channel and southern North Sea, collected during March to June 1991. Raster maps of the physical environmental variables formed the basis of the models, with regression quantiles used to predict the spatial variation in sole egg density according to changes in physical habitat factors. The regression quantile parameter estimates were used to re-code the raster environmental maps so as to produce spatial models reflecting variations in both spawning activity and habitat suitability. Models developed for each month were then combined to produce a map of overall habitat suitability for a single spawning season. The use of regression quantiles allowed linear model parameters to be estimated for any part of the biological response, in this case sole egg density, including near to the upper bounds of the distribution. Changes near to the upper bounds would be expected when habitat factors included in the model actively limit the biological response, with the variation below the maxima caused by the influence of unmeasured factors. Spatial models developed using regression quantiles therefore yield predictions of the upper limits imposed by the measured habitat factors, i.e. the potential biological response. Spatial variations in sole egg density were found to be limited by depth, temperature, salinity and sediment type, with highest densities found in the shallower regions over sediments consisting of < 30% gravel. The final models predicted different scores of spawning habitat suitability at each spatial location, with the model developed from upper regression quantiles generally predicting higher suitability scores. Models performed well when tested with data describing the distribution of sole eggs along the French coast of the eastern English Channel in April 1995. The use of regression quantiles allowed for the development of spawning habitat models that portrayed the upper limits imposed by the measured habitat factors. Underestimation of the relative importance of the habitat in terms of its suitability for spawning was therefore minimised using this technique.

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“…One approach that has been successful is the habitat suitability index (HSI) model, which describes large-scale habitat use patterns. HSI modeling is the process of formulating the suitability of a particular habitat on the basis of measurable habitat variables that affect the growth, survival, abundance, distribution, behavior, or other measures of wellbeing of animals (Brown et al 2000;Clark et al 2004). HSIs are generated through the application of wildlife-habitat relationships to relevant geospatial environmental data within a geographic information system (GIS) to develop a composite HSI score with a range of 0.0-1.0 (representing unsuitable to optimal habitat) (Roloff & Kernohan 1999).…”

Section: Introductionmentioning

confidence: 99%

Developing and testing a habitat suitability index model for Korean water deer (Hydropotes inermis argyropus) and its potential for landscape management decisions in Korea

Jung

Shimizu

Omasa

et al. 2016

Animal Cells and Systems

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Geographic information system (GIS) and landscape-level data offer a new opportunity for modeling and evaluating the quality of wildlife habitats. Models of habitat quality have not been developed for some species, and existing models could be improved by incorporating updated information on wildlife-habitat relationships and habitat variables. We developed a GIS-based habitat suitability index (HSI) model for the Korean water deer (Hydropotes inermis argyropus), which often causes human-wildlife conflicts in the Chungnam Province of Korea because of industrialization and urbanization. The model is based on logistic regression analysis, which addresses the impact of multiple habitat variables, such as habitat components, topographic characteristics, and human disturbances. The model yielded a p-value of .289 (χ 2 = 9.672) and 65.4% correct prediction level with the overall observation-prediction comparison data. The model demonstrated that a large portion of the province (61.6%) could be regarded as a poor habitat (mean HSI value of the province = 0.22), while the current habitats of the province could be considered of moderate quality (mean HSI value = 0.31). In addition, the chance of observation of the deer increases as the HSI level increases, which means that the model yields a good predictive power. Lastly, we used the model to produce a habitat suitability map. Our HSI model enabled us to quantify habitat preferences, which could be the basis for decision-making on habitat protection, mitigation, and enhancement of the Korean water deer. The proposed model is also applicable for improving and enhancing the existing management practices, as well as for establishing an effective wildlife protection policy. ARTICLE HISTORY

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Habitat Suitability Index Models for Eight Fish and Invertebrate Species in Casco and Sheepscot Bays, Maine

Cited by 97 publications

References 59 publications

Salinity measurements from pop-up archival transmitting (PAT) tags and their application to geolocation estimation for Atlantic tarpon

Salinity measurements from pop-up archival transmitting (PAT) tags and their application to geolocation estimation for Atlantic tarpon

Modelling spatial variations in spawning habitat suitability for the sole Solea solea using regression quantiles and GIS procedures

Developing and testing a habitat suitability index model for Korean water deer (Hydropotes inermis argyropus) and its potential for landscape management decisions in Korea

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