يعرض 1 - 10 نتائج من 17 نتيجة بحث عن '"Osorio-Olvera, Luis"', وقت الاستعلام: 0.90s تنقيح النتائج
  1. 1
    دورية أكاديمية

    المصدر: Frontiers in Ecology and the Environment ; volume 21, issue 9, page 411-417 ; ISSN 1540-9295 1540-9309

    الوصف: Understanding how species respond to land transformation is an essential step toward the development of effective conservation policies. This is especially urgent in deforestation hotspots, and for those groups particularly sensitive to changes in land cover. However, the scarcity of data on population trends is among the most pervasive shortfalls in biodiversity knowledge, hampering the design of effective conservation. This deficiency is commonly addressed by comparing population sizes between natural and transformed land‐cover types. Here we mapped the global knowledge (and knowledge gaps) about changes in the abundance of amphibian and reptile populations in natural and transformed land cover, with an emphasis on deforestation hotspots. Notably, our results show that there is scant information even about this proxy of population trends. On average, data are absent for 75% of amphibians and 83% of reptiles within each grid cell worldwide. Moreover, such information is extremely rare for deforestation fronts, and that which does exist comes from populations external to these areas. Strategic investment to fill these data gaps, especially in deforestation hotspots, is a crucial step to guide conservation policy making.

  2. 2
    دورية أكاديمية

    المصدر: American Journal of Botany ; volume 111, issue 5 ; ISSN 0002-9122 1537-2197

    الوصف: Premise Functional traits reflect species’ responses to environmental variation and the breadth of their ecological niches. Fagus grandifolia and Oreomunnea mexicana have restricted distribution in upper montane cloud forests (1700–2000 m a.s.l.) in Mexico. These species were introduced into plantings at lower elevations (1200–1600 m a.s.l.) that have climates predicted for montane forests in 2050 and 2070. The aim was to relate morphological leaf traits to the ecological niche structure of each species. Methods Leaf functional traits (leaf area, specific leaf area [SLA], thickness, and toughness) were analyzed in forests and plantings. Atmospheric circulation models and representative concentration pathways (RCPs: 2.6, 4.5, 8.5) were used to assess future climate conditions. Trait–niche relationships were analyzed by measuring the Mahalanobis distance (MD) from the forests and the plantings to the ecological niche centroid (ENC). Results For both species, leaf area and SLA were higher and toughness lower in plantings at lower elevation relative to those in higher‐elevation forests, and thickness was similar. Leaf traits varied with distance from sites to the ENC. Forests and plantings have different environmental locations regarding the ENC, but forests are closer (MD 0.34–0.58) than plantings (MD 0.50–0.70) for both species. Conclusions Elevation as a proxy for expected future climate conditions influenced the functional traits of both species, and trait patterns related to the structure of their ecological niches were consistent. The use of distances to the ENC is a promising approach to explore variability in species’ functional traits and phenotypic responses in optimal versus marginal environmental conditions.

  3. 3
    دورية أكاديمية

    المساهمون: Qiao, Huijie, National Science Foundation, Consejo Nacional de Ciencia y Tecnología, Universidad Nacional Autónoma de México

    المصدر: Methods in Ecology and Evolution ; volume 11, issue 10, page 1199-1206 ; ISSN 2041-210X 2041-210X

    الوصف: Biodiversity studies rely heavily on estimates of species' distributions often obtained through ecological niche modelling. Numerous software packages exist that allow users to model ecological niches using machine learning and statistical methods. However, no existing package with a graphical user interface allows users to perform model calibration and selection based on convex forms such as ellipsoids, which may match fundamental ecological niche shapes better, incorporating tools for exploring, modelling, and evaluating niches and distributions that are intuitive for both novice and proficient users. Here we describe an r package, N iche T ool B ox ( ntbox ), that allows users to conduct all processing steps involved in ecological niche modelling: downloading and curating occurrence data, obtaining and transforming environmental data layers, selecting environmental variables, exploring relationships between geographic and environmental spaces, calibrating and selecting ellipsoid models, evaluating models using binomial and partial ROC tests, assessing extrapolation risk, and performing geographic information system operations via a graphical user interface. A summary of the entire workflow is produced for use as a stand‐alone algorithm or as part of research reports. The method is explained in detail and tested via modelling the threatened feline species Leopardus wiedii . Georeferenced occurrence data for this species are queried to display both point occurrences and the IUCN extent of occurrence polygon (IUCN, 2007). This information is used to illustrate tools available for accessing, processing and exploring biodiversity data (e.g. number of occurrences and chronology of collecting) and transforming environmental data (e.g. a summary PCA for 19 bioclimatic layers). Visualizations of three‐dimensional ecological niches modelled as minimum volume ellipsoids are developed with ancillary statistics. This niche model is then projected to geographic space, to represent a corresponding potential ...

  4. 4
    دورية أكاديمية

    المصدر: Journal of Biogeography ; volume 50, issue 6, page 1037-1048 ; ISSN 0305-0270 1365-2699

    الوصف: Aims The aim of this study is to propose and analyse a general, dynamic, process‐oriented theory of the area of distribution. Location Mexico, Southern United States and the Caribbean. Taxon Pierid butterflies. Methods The area of distribution is modelled by combining (by multiplication) three matrices: one matrix represents movements, another niche tolerances and a third, biotic interactions. Results are derived from general properties of this product and from simulation of a cellular automaton defined in terms of the matrix operations. Everything is implemented practically in an R package. Results Results are obtained by simulation and mathematical analysis. We show that the mid‐domain effect is a direct consequence of dispersal; that to include movements to Ecological Niche Modelling significantly affect results, but cannot be done without choosing an ancestral area of distribution. We discuss ways of estimating such ancestral areas. We show that, in our approach, movements and niche effects are mixed in ways almost impossible to disentangle, and show this is a consequence of the singularity of a matrix. We introduce a tool (the Connectivity‐Suitability‐Dispersal plot) to extend the results of simple niche modelling to understand the effects of dispersal. Main conclusions The conceptually straightforward scheme we present for the area of distribution integrates, in a mathematically sound and computationally feasible way, several key ideas in biogeography: the geographic and environmental matrix, the Grinnellian niche, dispersal capacity and the ancestral area of origin of groups of species. We show that although full simulations are indispensable to obtain the dynamics of an area of distribution, interesting results can be derived simply by analysing the matrices representing the dynamics.

  5. 5
    دورية أكاديمية

    المصدر: Journal of Biogeography ; volume 50, issue 8, page 1464-1472 ; ISSN 0305-0270 1365-2699

    الوصف: Aim The distribution of a species in an area depends on the presence of suitable climatic conditions, suitable biotic interactions and species dispersal capabilities. Studies of species migration usually do not include all these factors due to a lack of detailed ecological information or appropriate methods. Here, we present simulations that consider all those factors for the study of the migratory patterns of Urania boisduvalii by incorporating environmental suitability, biotic interactions with its host plants ( Omphalea spp.), and the moth dispersal capacity. Location Cuba. Taxon Urania and Omphalea. Methods Our approach considers changes in the palatability of plants resulting from foraging by moths, as the novel mechanism driving their dispersal. Here, the state of each cell is determined by climate, dispersal, presence of edible food plants and change in food plant palatability. Results Urania dispersal occurs among sites with both edible food plants and suitable climates within the dispersal capacity of the moths. The number of isolated clusters of suitable patches decreased with larger dispersal capacities. All simulations where the palatability recovery is faster than palatability loss, lead to an oscillatory pattern of a local nature, while the other ones lead to a steady occupancy or extirpation of the moth species. Main Conclusions Our results provide theoretical support for the hypothesis that the palatability of food plants drives the pattern of movement of the moths and predict that the relationship between toxic and non‐toxic periods is critical to determining steady occupancy, oscillatory occupancy or extirpation of the moth from the host plant patches. The conceptual framework we used is directly based on classic literature and the methods we used are implemented as an R package. Therefore, our approach is suited to model, in a practical way, invasive species, emerging diseases or migratory species.

  6. 6
    دورية أكاديمية

    المساهمون: University of Kansas Lawrence (KU), Centre for Automotive Safety Research, University of Adelaide, Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC), University of Tasmania Hobart, Australia (UTAS), Umweltbundesamt, University of California Los Angeles (UCLA), University of California (UC), Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), University of Coimbra, Smithsonian Environmental Research Center (SERC), Czech Academy of Sciences Prague (CAS), Center Macroecology, Evolution and Climate, Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ), Humboldt-Universität zu Berlin = Humboldt University of Berlin = Université Humboldt de Berlin (HU Berlin)

    المصدر: ISSN: 1366-9516.

    الوصف: International audience

  7. 7
    دورية أكاديمية

    المساهمون: University of Kansas Lawrence (KU), Centre for Automotive Safety Research, University of Adelaide, Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC), University of Tasmania Hobart, Australia (UTAS), Umweltbundesamt, University of California Los Angeles (UCLA), University of California (UC), Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), University of Coimbra, Smithsonian Environmental Research Center (SERC), Czech Academy of Sciences Prague (CAS), Center Macroecology, Evolution and Climate, Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ), Humboldt-Universität zu Berlin = Humboldt University of Berlin = Université Humboldt de Berlin (HU Berlin)

    المصدر: ISSN: 1366-9516.

    الوصف: International audience

  8. 8
    دورية أكاديمية

    المساهمون: University of Kansas Lawrence (KU), Centre for Automotive Safety Research, University of Adelaide, Consejo Superior de Investigaciones Científicas Madrid (CSIC), University of Tasmania Hobart, Australia (UTAS), Umweltbundesamt, University of California Los Angeles (UCLA), University of California, Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), University of Coimbra, Smithsonian Environmental Research Center, Czech Academy of Sciences Prague (CAS), Center Macroecology, Evolution and Climate, Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ), Humboldt-Universität zu Berlin

    المصدر: ISSN: 1366-9516.

    الوصف: International audience

  9. 9
    دورية أكاديمية
  10. 10
    دورية أكاديمية

    المساهمون: Consejo Nacional de Ciencia y Tecnología, Paraguay

    المصدر: Molecular Ecology ; volume 31, issue 6, page 1766-1782 ; ISSN 0962-1083 1365-294X

    الوصف: Non‐native (invasive) species offer a unique opportunity to study the geographical distribution and range limits of species, wherein the evolutionary change driven by interspecific interactions between native and non‐native closely related species is a key component. The red‐eared slider turtle, Trachemys scripta elegans (TSE), has been introduced and successfully established worldwide. It can coexist with its native congeners T . cataspila , T . venusta and T . taylori in Mexico. We performed comprehensive fieldwork, executed a battery of genetic analyses and applied a novel species distribution modelling approach to evaluate their historical lineage relationships and contemporary population genetic patterns. Our findings support the historical common ancestry between native TSE and non‐native (TSE alien ), while also highlighting the genetic differentiation of the exotic lineage. Genetic patterns are associated with their range size/endemism gradient; the microendemic T . taylori showed significant reduced genetic diversity and high differentiation, whereas TSE alien showed the highest diversity and signals of population size expansion. Counter to our expectations, lower naturally occurring distribution overlap and little admixture patterns were found between TSE and its congeners, exhibiting reduced gene flow and clear genetic separation across neighbouring species despite having zones of contact. We demonstrate that these native Trachemys species have distinct climatic niche suitability, probably preventing establishment of and displacement by the TSE alien . Moreover, we found major niche overlap between TSE alien and native species worldwide, supporting our prediction that sites with closer ecological optima to the invasive species have higher establishment risk than those that are closer to the niche‐centre of the native species.