2018
DOI: 10.1007/s12237-018-0481-9
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Assessing Risks from Harbor Dredging to the Northernmost Population of Diamondback Terrapins Using Acoustic Telemetry

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Cited by 7 publications
(5 citation statements)
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“…As expected, the zero‐inflated model found temporal variation in the probability of excess zeros within the count data, with the highest probability during the beginning (May) and end (October) of the sampling season (Figure 7). This pattern is in line with DBT ecology at their northern latitudes, where late April and October correspond to the start and near end of the active season (Castro‐Santos et al, 2019). The zero‐inflated model can be thought of as a proxy for detection, where in the early spring and late fall, temperatures are colder and DBT are less active on average.…”
Section: Discussionsupporting
confidence: 78%
See 3 more Smart Citations
“…As expected, the zero‐inflated model found temporal variation in the probability of excess zeros within the count data, with the highest probability during the beginning (May) and end (October) of the sampling season (Figure 7). This pattern is in line with DBT ecology at their northern latitudes, where late April and October correspond to the start and near end of the active season (Castro‐Santos et al, 2019). The zero‐inflated model can be thought of as a proxy for detection, where in the early spring and late fall, temperatures are colder and DBT are less active on average.…”
Section: Discussionsupporting
confidence: 78%
“…This pattern is in line with DBT ecology at their northern latitudes, where late April and October correspond to the start and near end of the active season(Castro-Santos et al, 2019). The zero-inflated model can be thought of as a proxy for detection, where in the early spring and late fall, temperatures are colder and DBT are less active on average.…”
supporting
confidence: 74%
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“…Such information can now be gathered using AT to inform spatial management plans, identify essential habitats, perform environmental risk assessments, or assess the impacts on marine biodiversity before and after the construction of infrastructures. For example, AT has been successfully employed to detect the behavioral impacts of shipping (Ivanova et al, 2020;Sertlek et al, 2019), dredging (Castro-Santos et al, 2019;Wenger et al, 2017) and seismic surveys (Slabbekoorn et al, 2019;van der Knaap et al, 2021van der Knaap et al, , 2022, identifying management and policy implications. Therefore, this tool should be widely promoted given the undergoing or planned expansion of blue economy marine infrastructures, namely renewable energy infrastructures and deep-sea mining, respectively, both of which may have confirmed or suspected severe impacts (Masmitja et al, 2020).…”
Section: S Dg14 Targ E T 2-acous Ti C Tr Ack Ing a S A Tool For O Ce ...mentioning
confidence: 99%