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Network analysis of phenological units to detect important species in plant-pollinator assemblages: can it inform conservation strategies?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F17%3A00476427" target="_blank" >RIV/60077344:_____/17:00476427 - isvavai.cz</a>

  • Alternative codes found

    RIV/60076658:12310/17:43895556

  • Result on the web

    <a href="http://akademiai.com/doi/abs/10.1556/168.2017.18.1.1" target="_blank" >http://akademiai.com/doi/abs/10.1556/168.2017.18.1.1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1556/168.2017.18.1.1" target="_blank" >10.1556/168.2017.18.1.1</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Network analysis of phenological units to detect important species in plant-pollinator assemblages: can it inform conservation strategies?

  • Original language description

    Conservation of species is often focused either only on those that are endangered, or on maximising the number recorded on species lists. However, species share space and time with others, thus interacting and building frameworks of relationships that can be unravelled by community-level network analysis. It is these relationships that ultimately drive ecosystem function via the transfer of energy and nutrients. However interactions are rarely considered in conservation planning. Network analysis can be used to detect key species (´hubs´) that play an important role in cohesiveness of networks. We applied this approach to plant-pollinator communities on two montane Northern Apennine grasslands, paying special attention to the modules and the identity of hubs. We performed season-wide sampling and then focused the network analyses on time units consistent with plant phenology. After testing for significance of modules, only some modules were found to be significantly segregated from others. Thus, networks were organized around a structured core of modules with a set of companion species that were not organized into compartments. Using a network approach we obtained a list of important plant and pollinator species, including three Network Hubs of utmost importance, and other hubs of particular biogeographical interest. By having a lot of links and high partner diversity, hubs should convey stability to networks. Due to their role in the networks, taking into account such key species when considering the management of sites could help to preserve the greatest number of interactions and thus support many other species.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10618 - Ecology

Result continuities

  • Project

    <a href="/en/project/GP14-10035P" target="_blank" >GP14-10035P: Species traits and optimal foraging as drivers of the structure of plant-pollinator networks</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Community Ecology: an interdisciplinary journal reporting progress in community and population studies

  • ISSN

    1585-8553

  • e-ISSN

  • Volume of the periodical

    18

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    HU - HUNGARY

  • Number of pages

    10

  • Pages from-to

    1-10

  • UT code for WoS article

    000403545100001

  • EID of the result in the Scopus database

    2-s2.0-85021121200