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  • 1: advanced search Author, Corporation: Di Cesare, Mariachiara   :   (Online articles)  —  11 hits    Redo Search Permalink feed icon

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  • 1
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    Online Resource
    MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal
    Wiley ; 2022
    In:  Ecology Vol. 103, No. 6 ( 2022-06)
    Details
    In: Ecology, Wiley, Vol. 103, No. 6 ( 2022-06)
    Abstract: Mammals are threatened worldwide, with ~26% of all species being included in the IUCN threatened categories. This overall pattern is primarily associated with habitat loss or degradation, and human persecution for terrestrial mammals, and pollution, open net fishing, climate change, and prey depletion for marine mammals. Mammals play a key role in maintaining ecosystems functionality and resilience, and therefore information on their distribution is crucial to delineate and support conservation actions. MAMMALS IN PORTUGAL is a publicly available data set compiling unpublished georeferenced occurrence records of 92 terrestrial, volant, and marine mammals in mainland Portugal and archipelagos of the Azores and Madeira that includes 105,026 data entries between 1873 and 2021 (72% of the data occurring in 2000 and 2021). The methods used to collect the data were: live observations/captures (43%), sign surveys (35%), camera trapping (16%), bioacoustics surveys (4%) and radiotracking, and inquiries that represent less than 1% of the records. The data set includes 13 types of records: (1) burrows | soil mounds | tunnel, (2) capture, (3) colony, (4) dead animal | hair | skulls | jaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8), observation in shelters, (9) photo trapping | video, (10) predators diet | pellets | pine cones/nuts, (11) scat | track | ditch, (12) telemetry and (13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia ( n  =31,573) has the highest number of records followed by Chiroptera ( n  = 18,857), Carnivora ( n  = 18,594), Lagomorpha ( n  = 17,496), Cetartiodactyla ( n  = 11,568) and Eulipotyphla ( n  = 7008). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus [ n  = 12,159], Monachus monachus [ n  = 1,512], and Lynx pardinus [ n  = 197]). We believe that th is data set may stimulate the publication of other European countries data sets that would certainly contribute to ecology and conservation‐related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. There are no copyright restrictions; please cite this data paper when the data are used in publications.
    Type of Medium: Online Resource
    ISSN: 0012-9658 , 1939-9170
    URL: Issue
    URL: Article
    DOI: 10.1002/ecy.v103.6
    DOI: 10.1002/ecy.3654
    RVK:
    WA 15000
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 1797-8
    detail.hit.zdb_id: 2010140-5
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    Identification methods and deterministic factors of owl roadkill hotspot locations in Mediterranean landscapes
    Wiley ; 2009
    In:  Ecological Research Vol. 24, No. 2 ( 2009-03), p. 355-370
    Details
    In: Ecological Research, Wiley, Vol. 24, No. 2 ( 2009-03), p. 355-370
    Abstract: Road fatalities are among the major causes of mortality for Strigiformes species and may affect the population's survival. The use of mitigation strategies must be considered to overcome this problem. However, because mitigation along the total length of all roads is not financially feasible, the locations where Strigiformes roadkills are more frequent (i.e., road fatality hotspots) must be identified. In addition to hotspot identification, factors that influence the occurrence of such fatalities should be recognized to allow mitigation measures to be delineated. We used road fatality data collected from 311 km of southern Portugal roads over a 2‐year period to compare the performance of five hotspot identification methods: binary logistic regression (BLR), ecological niche factor analysis (ENFA), Kernel density estimation, nearest neighbor hierarchical clustering (NNHC), and Malo's method. BLR and ENFA modelling were also used for recognizing roadkill deterministic factors. Our results suggest that Malo's method should be preferred for hotspot identification. The main factors driving owl roadkillings are those associated with good habitat conditions for species occurrence and specific conditions that promote hunting behavior near roads. Based on these factors, several mitigation measures are recommended.
    Type of Medium: Online Resource
    ISSN: 0912-3814 , 1440-1703
    URL: Article
    DOI: 10.1007/s11284-008-0515-z
    Language: English
    Publisher: Wiley
    Publication Date: 2009
    detail.hit.zdb_id: 2023900-2
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  • 3
    Online Resource
    Online Resource
    Highway verges as habitat providers for small mammals in agrosilvopastoral environments
    Springer Science and Business Media LLC ; 2012
    In:  Biodiversity and Conservation Vol. 21, No. 14 ( 2012-12), p. 3681-3697
    Details
    In: Biodiversity and Conservation, Springer Science and Business Media LLC, Vol. 21, No. 14 ( 2012-12), p. 3681-3697
    Type of Medium: Online Resource
    ISSN: 0960-3115 , 1572-9710
    URL: Article
    DOI: 10.1007/s10531-012-0390-3
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2012
    detail.hit.zdb_id: 2000787-5
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  • 4
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    Response of carnivores to existing highway culverts and underpasses: implications for road planning and mitigation
    Springer Science and Business Media LLC ; 2008
    In:  Biodiversity and Conservation Vol. 17, No. 7 ( 2008-6), p. 1685-1699
    Details
    In: Biodiversity and Conservation, Springer Science and Business Media LLC, Vol. 17, No. 7 ( 2008-6), p. 1685-1699
    Type of Medium: Online Resource
    ISSN: 0960-3115 , 1572-9710
    URL: Article
    DOI: 10.1007/s10531-008-9374-8
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2008
    detail.hit.zdb_id: 2000787-5
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  • 5
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    Online Resource
    Global exposure of carnivores to roads
    Wiley ; 2017
    In:  Global Ecology and Biogeography Vol. 26, No. 5 ( 2017-05), p. 592-600
    Details
    In: Global Ecology and Biogeography, Wiley, Vol. 26, No. 5 ( 2017-05), p. 592-600
    Abstract: Land‐use change is a major threat to biodiversity globally. Roads cause direct mortality and limitation of individual movements, which may isolate populations and affect their viability in the long term. Here we provide the first comprehensive global assessment of the exposure of terrestrial mammalian carnivores to roads using an integrated modelling framework. Location Global. Methods We estimated critical road densities and critical patch sizes for each species based on a spatially explicit model and life‐history traits. We calculated the distribution of landscape fragment sizes for each carnivore species by intersecting global road density with each species range. The proportion of a species’ geographical range with fragments below the critical patch size is used as an index of the vulnerability to roads. Results We found that the carnivores expected to be most exposed to roads belong to families Felidae, Ursidae, Mustelidae, Canidae and Procyonidae. Approximately one‐third of the species most affected have not been identified by the IUCN as threatened by roads. Our model projects time to extinction that may be as low as one century for some species, such as the endangered Iberian lynx. Species are expected to be more exposed in areas with medium to high road density but, surprisingly, also in areas where road density is relatively low. Hotspots of the number of species locally endangered by roads occur in North America and Asia. Main conclusions Our results suggest the need to reassess the status and threats of those species that have not been previously recognized as strongly affected by roads. Our framework can be applied at different spatial scales, to assess the effects of the development of the road network and inform prioritization schemes for road building, and to identify areas for conservation, and species requiring particular mitigation and restoration measures.
    Type of Medium: Online Resource
    ISSN: 1466-822X , 1466-8238
    URL: Issue
    URL: Article
    DOI: 10.1111/geb.2017.26.issue-5
    DOI: 10.1111/geb.12564
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 1479787-2
    detail.hit.zdb_id: 2021283-5
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  • 6
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    Habitat selection by the black-tufted marmoset Callithrix penicillata in human-disturbed landscapes
    Cambridge University Press (CUP) ; 2018
    In:  Journal of Tropical Ecology Vol. 34, No. 2 ( 2018-03), p. 135-144
    Details
    In: Journal of Tropical Ecology, Cambridge University Press (CUP), Vol. 34, No. 2 ( 2018-03), p. 135-144
    Abstract: There are several primate species with high risk of extinction in small forest fragments disturbed by human activities. However, some species exhibit high ecological plasticity, which allows them to persist in human-modified landscapes. The main goal of this study is to examine the relative roles of vegetation (mean distance among trees and mean canopy cover), human disturbance (distance to the road, distance to the fragment edge and edge type), and habitat spatial configuration (spatial autocorrelation index, category of quadrat – position within the fragment/fragment type) on the habitat selection of the black-tufted marmoset Callithrix penicillata in forest patches. We selected forest patches near and away from roads/urban areas, in southern Minas Gerais state, south-eastern Brazil. We used generalized linear mixed models to explain the presence of black-tufted marmoset in those patches. Our results show that black-tufted marmoset tend to occupy forest fragments closer to roads/urban areas, and consequently are under the influence of anthropic disturbance. In addition to the area delimited by these fragments, there is a preference for edge environments, where disturbances are exacerbated and the ecological conditions are suitable for exploitation by the black-tufted marmoset (supply of gum trees and reduced risk of competition). We suggest that a cross-habitat spillover by marmoset occur from forests to small habitat patches close to human-modified areas, such as those in proximity to roads and urban zones.
    Type of Medium: Online Resource
    ISSN: 0266-4674 , 1469-7831
    URL: Article
    DOI: 10.1017/S026646741800007X
    RVK:
    WA 15000
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2018
    detail.hit.zdb_id: 1466679-0
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  • 7
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    Giant anteater (Myrmecophaga tridactyla) conservation in Brazil: Analysing the relative effects of fragmentation and mortality due to roads
    Elsevier BV ; 2018
    In:  Biological Conservation Vol. 228 ( 2018-12), p. 148-157
    Details
    In: Biological Conservation, Elsevier BV, Vol. 228 ( 2018-12), p. 148-157
    Type of Medium: Online Resource
    ISSN: 0006-3207
    URL: Article
    DOI: 10.1016/j.biocon.2018.10.023
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 1496231-7
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  • 8
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    Online Resource
    Spatial–temporal patterns in Mediterranean carnivore road casualties: Consequences for mitigation
    Elsevier BV ; 2009
    In:  Biological Conservation Vol. 142, No. 2 ( 2009-02), p. 301-313
    Details
    In: Biological Conservation, Elsevier BV, Vol. 142, No. 2 ( 2009-02), p. 301-313
    Type of Medium: Online Resource
    ISSN: 0006-3207
    URL: Article
    DOI: 10.1016/j.biocon.2008.10.026
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2009
    detail.hit.zdb_id: 1496231-7
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  • 9
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    Reply: Modeling scenarios of population response to roads as a conservation risk assessment strategy
    Elsevier BV ; 2019
    In:  Biological Conservation Vol. 230 ( 2019-02), p. 201-202
    Details
    In: Biological Conservation, Elsevier BV, Vol. 230 ( 2019-02), p. 201-202
    Type of Medium: Online Resource
    ISSN: 0006-3207
    URL: Article
    DOI: 10.1016/j.biocon.2018.12.025
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
    detail.hit.zdb_id: 1496231-7
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    SSG: 23
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  • 10
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    Spatial and species‐level predictions of road mortality risk using trait data
    Wiley ; 2018
    In:  Global Ecology and Biogeography Vol. 27, No. 9 ( 2018-09), p. 1093-1105
    Details
    In: Global Ecology and Biogeography, Wiley, Vol. 27, No. 9 ( 2018-09), p. 1093-1105
    Abstract: Collisions between wildlife and vehicles are recognized as one of the major causes of mortality for many species. Empirical estimates of road mortality show that some species are more likely to be killed than others, but to what extent this variation can be explained and predicted using intrinsic species characteristics remains poorly understood. This study aims to identify general macroecological patterns associated with road mortality and generate spatial and species‐level predictions of risks. Location Brazil. Time period 2001–2014. Major taxa Birds and mammals. Methods We fitted trait‐based random forest regression models (controlling for survey characteristics) to explain 783 empirical road mortality rates from Brazil, representing 170 bird and 73 mammalian species. Fitted models were then used to make spatial and species‐level predictions of road mortality risk in Brazil, considering 1,775 birds and 623 mammals that occur within the continental boundaries of the country. Results Survey frequency and geographical location were key predictors of observed rates, but mortality was also explained by the body size, reproductive speed and ecological specialization of the species. Spatial predictions revealed a high potential standardized (per kilometre of road) mortality risk in Amazonia for birds and mammals and, additionally, a high risk in Southern Brazil for mammals. Given the existing road network, these predictions mean that 〉 8 million birds and 〉 2 million mammals could be killed per year on Brazilian roads. Furthermore, predicted rates for all Brazilian endotherms uncovered potential vulnerability to road mortality of several understudied species that are currently listed as threatened by the International Union for Conservation of Nature. Conclusion With a rapidly expanding global road network, there is an urgent need to develop improved approaches to assess and predict road‐related impacts. This study illustrates the potential of trait‐based models as assessment tools to gain a better understanding of the correlates of vulnerability to road mortality across species, and as predictive tools for difficult‐to‐sample or understudied species and areas.
    Type of Medium: Online Resource
    ISSN: 1466-822X , 1466-8238
    URL: Issue
    URL: Article
    DOI: 10.1111/geb.v27.9
    DOI: 10.1111/geb.12769
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 1479787-2
    detail.hit.zdb_id: 2021283-5
    SSG: 12
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