A modular and mesh-capable LoRa based Content Transfer Protocol for Environmental Sensing

Spatial and temporal aggregation patterns of wildlife-vehicle collisions are recurrently used to inform where and when mitigation measures are most needed. The aim of this study is to assess if such aggregation patterns remain in the same locations and periods over time and at different spatial and temporal scales. We conducted biweekly surveys (n = 484) on 114 km of nine roads, searching for road casualties (n = 4422). Aggregations were searched using different lengths of road sections (500, 1000, 2000 m) and time periods (fortnightly, monthly, bimonthly). Our results showed that hotspots and hot-moments are generally more consistent at larger temporal and spatial scales. We therefore suggest using longer road sections and longer time periods to implement mitigation measures in order to minimize the uncertainty. We support this finding by showing that the proportional costs and benefits to mitigate roadkill aggregations are similar when using different spatial and temporal units.

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DCAT-AP/NTI-RISP

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Resource type Text
Date of creation 2024-09-17
Date of last revision 2024-09-17
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Metadata identifier 49b8b37d-f05a-5eb7-9cc1-11522520c39b
Metadata language Spanish
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ISO 19115 topic category biota
Other identifier DOI 10.1109/CCNC51644.2023.10060496
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INSPIRE identifier ESPMITECOIEPNBMMENOR630
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Geographic identifier Murcia
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"{\"type\": \"Polygon\", \"coordinates\": [[[-2.34, 37.38], [-0.69, 37.38], [-0.69, 38.76], [-2.34, 38.76], [-2.34, 37.38]]]}"
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  1. 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)
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Name of the dataset creator Arratia, B., García-Guillamón, P.,…
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Email of the dataset creator baarruri@disca.upv.es
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