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  • 1
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 380, No. 6649 ( 2023-06-09), p. 1059-1064
    Abstract: GPS tracking of mammals over five continents shows how animal movements changed during COVID-19 lockdowns.
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
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    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2023
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    detail.hit.zdb_id: 2066996-3
    detail.hit.zdb_id: 2060783-0
    SSG: 11
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  • 2
    In: Global Ecology and Biogeography, Wiley, Vol. 31, No. 8 ( 2022-08), p. 1526-1541
    Abstract: Macroecological studies that require habitat suitability data for many species often derive this information from expert opinion. However, expert‐based information is inherently subjective and thus prone to errors. The increasing availability of GPS tracking data offers opportunities to evaluate and supplement expert‐based information with detailed empirical evidence. Here, we compared expert‐based habitat suitability information from the International Union for Conservation of Nature (IUCN) with habitat suitability information derived from GPS‐tracking data of 1,498 individuals from 49 mammal species. Location Worldwide. Time period 1998–2021. Major taxa studied Forty‐nine terrestrial mammal species. Methods Using GPS data, we estimated two measures of habitat suitability for each individual animal: proportional habitat use (proportion of GPS locations within a habitat type), and selection ratio (habitat use relative to its availability). For each individual we then evaluated whether the GPS‐based habitat suitability measures were in agreement with the IUCN data. To that end, we calculated the probability that the ranking of empirical habitat suitability measures was in agreement with IUCN's classification into suitable, marginal and unsuitable habitat types. Results IUCN habitat suitability data were in accordance with the GPS data ( 〉  95% probability of agreement) for 33 out of 49 species based on proportional habitat use estimates and for 25 out of 49 species based on selection ratios. In addition, 37 and 34 species had a 〉  50% probability of agreement based on proportional habitat use and selection ratios, respectively. Main conclusions We show how GPS‐tracking data can be used to evaluate IUCN habitat suitability data. Our findings indicate that for the majority of species included in this study, it is appropriate to use IUCN habitat suitability data in macroecological studies. Furthermore, we show that GPS‐tracking data can be used to identify and prioritize species and habitat types for re‐evaluation of IUCN habitat suitability data.
    Type of Medium: Online Resource
    ISSN: 1466-822X , 1466-8238
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 1479787-2
    detail.hit.zdb_id: 2021283-5
    SSG: 12
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  • 3
    In: Journal of Animal Ecology, Wiley, Vol. 93, No. 4 ( 2024-04), p. 488-500
    Abstract: As animal home range size (HRS) provides valuable information for species conservation, it is important to understand the driving factors of HRS variation. It is widely known that differences in species traits (e.g. body mass) are major contributors to variation in mammal HRS. However, most studies examining how environmental variation explains mammal HRS variation have been limited to a few species, or only included a single (mean) HRS estimate for the majority of species, neglecting intraspecific HRS variation. Additionally, most studies examining environmental drivers of HRS variation included only terrestrial species, neglecting marine species. Using a novel dataset of 2800 HRS estimates from 586 terrestrial and 27 marine mammal species, we quantified the relationships between HRS and environmental variables, accounting for species traits. Our results indicate that terrestrial mammal HRS was on average 5.3 times larger in areas with low human disturbance (human footprint index [HFI] = 0), compared to areas with maximum human disturbance (HFI = 50). Similarly, HRS was on average 5.4 times larger in areas with low annual mean productivity (NDVI = 0), compared to areas with high productivity (NDVI = 1). In addition, HRS increased by a factor of 1.9 on average from low to high seasonality in productivity (standard deviation (SD) of monthly NDVI from 0 to 0.36). Of these environmental variables, human disturbance and annual mean productivity explained a larger proportion of HRS variance than seasonality in productivity. Marine mammal HRS decreased, on average, by a factor of 3.7 per 10°C decline in annual mean sea surface temperature (SST), and increased by a factor of 1.5 per 1°C increase in SST seasonality (SD of monthly values). Annual mean SST explained more variance in HRS than SST seasonality. Due to the small sample size, caution should be taken when interpreting the marine mammal results. Our results indicate that environmental variation is relevant for HRS and that future environmental changes might alter the HRS of individuals, with potential consequences for ecosystem functioning and the effectiveness of conservation actions.
    Type of Medium: Online Resource
    ISSN: 0021-8790 , 1365-2656
    URL: Issue
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    Language: English
    Publisher: Wiley
    Publication Date: 2024
    detail.hit.zdb_id: 2006616-8
    SSG: 12
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  • 4
    In: Conservation Biology, Wiley
    Abstract: Impacto de las carreteras planeadas y existentes sobre el hábitat de mamíferos terrestres en Nueva Guinea Resumen Nueva Guinea es una de las últimas regiones del mundo con zonas vírgenes extensas que alberga muchas especies endémicas. Sin embargo, los planes extensivos de desarrollo de carreteras amenazan la biodiversidad de la isla. Cuantificamos la fragmentación del hábitat causada por las carreteras existentes y previstas para 139 especies de mamíferos terrestres de Nueva Guinea. Para cada especie, calculamos el área conectada equivalente (ACE) del hábitat, una medida que considera el área y la conectividad de los fragmentos de hábitat en tres situaciones: sin carreteras (situación de referencia), carreteras existentes (actual) y la combinación de carreteras existentes y previstas (futuro). Evaluamos el efecto de las carreteras como la proporción de ACE que quedaba en las situaciones actual y futura en relación con la situación de referencia. Para examinar si existían patrones en estos valores relativos de ECA, ajustamos modelos de regresión beta relacionando estos valores con cuatro características de las especies: orden taxonómico, masa corporal, dieta y estado en la Lista Roja de la Unión Internacional para la Conservación de la Naturaleza. En promedio para todas las especies, la ACE actual fue 89% (DE 12) de la ACE basal. La especie Coccymys shawmayeri presentó la menor cantidad de ACE actual en relación con la base de referencia (53%). En la situación futura, la media de ACE restante fue del 71% (DE 20) de la ACE de referencia. La ACE restante futura fue inferior al 50% de la línea de base para 28 especies. La especie Paramelomys mollis tuvo la ACE futura más baja en relación con la línea base (36%). En general, las especies carnívoras que no están amenazadas actualmente y tienen una masa corporal grande tuvieron la mayor reducción de ACE en la situación futura. Para concluir, la futura construcción de carreteras implica una extensa fragmentación de hábitat adicional para un gran número de especies de mamíferos terrestres en Nueva Guinea. Por esto es importante limitar el impacto de las carreteras planeadas, por ejemplo, reconsiderando la ubicación de las carreteras que cruzan el hábitat de las especies más amenazadas o implementando medidas de mitigación como los pasos subterráneos.
    Type of Medium: Online Resource
    ISSN: 0888-8892 , 1523-1739
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2020041-9
    SSG: 12
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