Site identification and discharge measurements through Mobile Crowdsensing in the Mar Menor region

Wildlife crossing structures are commonly used to mitigate the barrier and mortality impacts of roads on wildlife. For arboreal mammals, canopy bridges, glider poles and vegetated medians are used to provide safe passage across roads. However, the effectiveness of these measures is unknown. We investigate the effect of canopy bridges, glider poles and vegetated medians on squirrel glider movement across a freeway in south-east Australia. We monitored structures directly using motion-triggered cameras and passive integrated transponder (PIT) scanners. Further, post-mitigation radio-tracking was compared to a pre-mitigation study. Squirrel gliders used all structure types to cross the freeway, while the unmitigated freeway remained a barrier to movement. However, movement was not restored to the levels observed at non-freeway sites. Nevertheless, based on the number and frequency of individuals crossing, mitigation is likely to provide some level of functional connectivity. The rate of crossing increased over several years as animals habituated to the structure. We also found that crossing rate can be a misleading indicator of effectiveness if the number of individuals crossing is not identified. Therefore, studies should employ long-term monitoring and identify individuals crossing if inferences about population connectivity are to be made from movement data alone.

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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 8c3c9c5c-5908-5aa6-af1a-a95709891c59
Metadata language Spanish
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ISO 19115 topic category biota
Other identifier DOI 10.5194/iahs2022-196, 2022.
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INSPIRE identifier ESPMITECOIEPNBMMENOR574
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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. IAHS-AISH Scientific Assembly 2022
  2. Montpellier
  3. France
  4. 29 May–3 Jun 2022
  5. IAHS2022-196
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Name of the dataset creator Peña-Haro, S., Cecilia, J. M., Blanco-Gómez, P., Prandi, C. y Senent-Aparicio, J.
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