Kooperativer Bibliotheksverbund

Berlin Brandenburg


Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

  • 1
    In: Conservation Letters, July 2016, Vol.9(4), pp.281-289
    Description: International trade of species facilitates the establishment of nonnative organisms. Highlighting areas potentially suitable for invasive species (risk areas) allows for effective importation regulations to prevent the spread of and the potential damage caused by such species. Species distribution models (SDMs) are commonly used to predict risk areas but they usually disregard intraspecific differentiation and corresponding differences in climatic requirements. We used as an example of a commonly traded species and developed SDMs at the species‐ and subspecies‐level to assess the value of subspecific information for risk area predictions. We show that species‐level models are less efficient than subspecies‐based SDMs and that risk areas differ considerably between subspecies. Therefore, the invasive potential of a species can depend on the subspecies imported and the particular climatic condition of the target area. This paves the way to novel policy‐relevant guidelines to legislate for smart regulations instead of complete import interdictions.
    Keywords: Invasive Risk Assessment ; Invasive Species ; Species Distribution Model ; Species Trade Regulation ; Subspecies ; Traded Species
    ISSN: 1755-263X
    E-ISSN: 1755-263X
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    In: Diversity and Distributions, July 2019, Vol.25(7), pp.1088-1100
    Description: Byline: Thomas Lecocq, Alexander Harpke, Pierre Rasmont,Oliver Schweiger, Janine Bolliger Keywords: bumblebee; climate change; evolutionary significant unit; intraspecific variability; model performance; species distribution model Abstract Aim Conventional species distribution models (SDMs) usually focus on the species level but disregard intraspecific variability. Phylogeographic structure and evolutionary significant units (ESU) have been proposed as pragmatic proxies to incorporate intraspecific differentiation in SDMs. Nevertheless, the efficiency of using these proxies in SDMs has been poorly investigated. We analysed how the projections of current and future climatically suitable areas can be affected when using ESU-based or lineage-based models compared to a species-level model. Location West-Palaearctic region. Methods As examples, we used three bumblebee species (133,787 observations). We assessed potential climatic niche differentiation between species level, lineages and ESUs, by determining the niche position and niche breadth for each classification level by outlying mean index analyses. Subsequently, we developed SDMs for each species and classification level separately using boosted regression trees prior to a comparison of their performances. Finally, we used the alternative models to project the extent of climatically suitable areas in 2070. Results We found that in spite of highly similar overall model accuracy, integrating intraspecific variability significantly increases model sensitivity (i.e., better predicting presences) while decreased model specificity (i.e., over-predicting the range). Consequently, both predictions of current and projections of future suitable conditions differed among the three approaches. Main conclusions We showed that although integrating lineage or ESU information did not improve the accuracy of conventional species-level SDMs, it led to considerably different conclusions. As SDM-based climatic risk assessments are increasingly used to help and improve conservation plans, divergences and limitations of each modelling approach should be taken into account for developing efficient biodiversity management strategies. Lineage and ESU-based SDMs offer the advantage to draw attention to species in which allopatric populations could display physiologically different responses to climate change when they lead to different results than species-based models. CAPTION(S):
    Keywords: Bumblebee ; Climate Change ; Evolutionary Significant Unit ; Intraspecific Variability ; Model Performance ; Species Distribution Model
    ISSN: 1366-9516
    E-ISSN: 1472-4642
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    In: Nature Communications, 2016, Vol.7
    Description: Impacts of climate change on individual species are increasingly well documented, but we lack understanding of how these effects propagate through ecological communities. Here we combine species distribution models with ecological network analyses to test potential impacts of climate change on 〉700 plant and animal species in pollination and seed-dispersal networks from central Europe. We discover that animal species that interact with a low diversity of plant species have narrow climatic niches and are most vulnerable to climate change. In contrast, biotic specialization of plants is not related to climatic niche breadth and vulnerability. A simulation model incorporating different scenarios of species coextinction and capacities for partner switches shows that projected plant extinctions under climate change are more likely to trigger animal coextinctions than vice versa. This result demonstrates that impacts of climate change on biodiversity can be amplified via extinction cascades from plants to animals in ecological networks.
    Keywords: Climate Change ; Ecosystem ; Extinction, Biological ; Plants -- Metabolism;
    ISSN: 2041-1723
    E-ISSN: 2041-1723
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    Language: English
    Description: Bumble bees represent one of the most important groups of pollinators. In addition to their ecological and economic relevance , they are also a highly charismatic group which can help to increase the interest of people in realizing, enjoying and conserving natural systems. However, like...
    Keywords: Environmental Sciences ; Global Changes ; Environmental Sciences ; Ecology
    ISBN: 9789546427687
    ISSN: 13132644
    E-ISSN: 13132652
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages