Vulnerability Workflow - Risk assessment of NIS introduction and establishment, habitat vulnerability to NIS and estimation of the impact on Biotopes

Assessing ecosystem and habitat type vulnerability to invasion/colonisation of non indigenous species (NIS) is key to focus conservation actions protecting them from the negative impacts related to NIS invasiveness. This validation case aims at mapping ecosystem and habitat type vulnerability at continental scale, inferring the relevance of key risk factors (e.g., vectors of invasion) and intrinsic resistance/resilience components (e.g., native biodiversity, food web structure, etc.) and design scenarios of change, in the context of expected climate changes, for ecosystem and habitat types found highly vulnerable to NIS.

This workflow aims at highlighting, at the scale of Europe, where the incidence of invasive alien species is the strongest and what areas (or habitats when possible) are the most vulnerable to the negative impact of invasive alien species. At present, the scale considered is the one of European countries and respective marine regions.

Identification

Date ( Creation ): 2019-07-04

Date ( Publication ): 2021-03-18

Status: Under development / Pre operational

Version: 1.0

Access constraints: Copyright

Author

INBO - Damiano Oldoni

Author

ELIE - Université catholique de Louvain - Julien Radoux

Author

CESAM - University of Aveiro - Heliana Teixeira

Author

University of Salento - Alberto Basset

Publisher

LifeWatch ERIC - Lucia Vaira

Owner

LifeWatch ERIC - LifeWatch ERIC

OnLine resource: Info page ( WWW:LINK-1.0-http--link )

Service Name: WoRMS taxon match webservices (LifeWatch.be)

Service Description: As a user or developer you can use the WoRMS webservice to feed your own application with standard WoRMS data. A non exhaustive list of applications: - get the AphiaID for your taxon - check the spelling of your taxa - get the authority for your taxa - get the full classification for your taxa - resolve your unaccepted names to accepted ones - get all synonyms for a taxon - fuzzy/near match your species list - resolve a common name/vernacular to a scientific name - get the common name(s)/vernacular(s) for a taxon - get the sources/references for a taxon - get the WoRMS citation for a taxon - get the direct children for a taxon - get all taxa modified during a time interval - get an external identifier for a taxon - get the AphiaID for an external identifier/database - get all distributions for a taxon - get all attributes for a taxon

Service Reference (id): http://metadatacatalogue.lifewatch.eu/srv/eng/catalog.search#/metadata/85bd283d-f6a1-4871-827e-e7cc5bb964e5

Service Name: Cumulative IMPacts of invasive ALien species (CIMPAL) calculator

Service Description: CIMPAL (Cumulative IMPacts of invasive ALien species by Katsanevakis et al. 2016) calculator is a service to calculate a spatialized cumulative impact index, generating vulnerability maps.

Service Reference (id): http://metadatacatalogue.lifewatch.eu/srv/eng/catalog.search#/metadata/59acddc4-f0b8-4ac0-9caa-ad6f93497aca

Service Name: Datacube Analyst

Service Description: The Python codes aim at crossing the datacube with a geographic layer in order to compute incidence information per zone. This information is extracted based on the geolocation code. It includes a tool to visualize the outputs rasters.

Service Reference (id): https://metadatacatalogue.lifewatch.eu/srv/eng/catalog.search#/metadata/5dd3306c-8de7-4be4-a6dd-8643e678cb79

Service Name: Datacube Builder

Service Description: The R codes enable to build a datacube to overlay layers over space and time to aggregate (=counts) species occurrences on a regular grid. This count has a stochastic component that takes the uncertainty field into account.

Service Reference (id): https://metadatacatalogue.lifewatch.eu/srv/eng/catalog.search#/metadata/4b0d3b0b-e58b-4011-9be3-9c0cf64acfdf

Service Name: Cross Tabulator

Service Description: The Python and C++ codes provides a generic tool to spatially cross two categorical geographic layer and create a matrix of the frequequency of their co-occurrence. For example, this service can be used to compute the proportion of each biotope inside the administrative boundaries of a country.

Service Reference (id): http://metadatacatalogue.lifewatch.eu/srv/eng/catalog.search#/metadata/723fd04f-a703-4df1-844e-1c736b18109f

Service Name: Zonal Statistic

Service Description: The Python and C++ codes provides a generic tool to extract the statistics from a geographic layer with quantitative values for each patch of a categorical map. For example, it is used in this workflow to compute the average vulnerability inside different administrative polygons.