Modelling of a strong flood event on the Mar Menor coastal lagoon with ROMS

Understanding how roads affect the persistence of animal populations is one of the challenges of road ecology. Small mammals are of great interest on account of their value as indicators of environmental impacts and their key role in ecosystems. Nevertheless, there is a large gap in our knowledge of small mammal communities in the proximity of roads. An intensive study was conducted of the effect of a motorway on the small mammal communities in an extensively managed Mediterranean landscape. Live-trapping methods were used over a 2-year period to characterise the structure and dynamics of small mammal populations at increasing distances from the motorway (0–500–1000 m). In total, 1004 individuals of three species were captured. All three were significantly more abundant nearest to the motorway. In addition, in the case of the wood mouse, a higher proportion of juveniles was found at 0 m and 500 m from the motorway and its abundance was independent of other, habitat-related, characteristics. The greater abundance of small mammals in close vicinity to the motorway became more obvious during the second year, when a population crash reduced captures by over 60%. Thus, the ratio of captures alongside the motorway relative to those at the other distances analysed rose from approximately 3:2 to 9:2. The results point to roadside verges being an important refuge for small mammals in terms both of greater abundance and population stability. This finding has important implications from the viewpoint of conservation biology and for management of the environmental impacts of roads.

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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 a1d69c02-b668-5f6f-89d1-ad0242b116fc
Metadata language Spanish
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ISO 19115 topic category biota
Other identifier DOI 10.5194/iahs2022-581
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INSPIRE identifier ESPMITECOIEPNBMMENOR431
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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. IAHS2022-581
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Name of the dataset creator López Castejón, F., Gilabert Cervera, J., Alcaraz Oliver, N., Tudela Meroño, D. y Rodriguez de Mesas, C.
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Email of the dataset creator francisco.lopez@upct.es
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