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Alien Species Presence In Norway

Hotspot Occurrences, Risk Factors, and Environmental Factors

@kaggle.thedevastator_alien_species_presence_in_norway

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About this Dataset

Alien Species Presence In Norway


Alien Species Presence in Norway

Hotspot Occurrences, Risk Factors, and Environmental Factors

By [source]


About this dataset

This dataset captures the rich diversity of alien species of plants and animals in the Oslofjord region of Norway. From field surveys conducted across 60 study plots, this dataset contains information on 239 species of alien plants, 20 risk-assessed organisms and 115 new species to Norway. Utilizing DNA-metabarcode data collected from a single Malaise trap as well as 3-4 rounds of repeated sampling, this dataset enables us to assess distribution patterns and risk factors associated with alien species in Norway. Additionally, FieldsFullDepth, FieldsShallowDepth, Forest, Freshwater, Housing, Mire, OpenLand Watersheds data was also included to analyze general plot conditions as well as environmental factor that could impact the distribution and risk assessment of such organisms. Covariates such Precipitation levels

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How to use the dataset

This dataset can be used to explore the presence of alien species of plants and animals in Norway. It includes data from 60 survey plots located in three counties in the Oslofjord region. The dataset encompasses the presence of 239 species of alien plants, 20 risk-assessed organisms, and 115 species not previously seen in Norway. This data can be used to identify potential hotspots for alien species, as well as investigate factors such as climate conditions, population density, land use type and more which may be associated with their abundance or distribution.

The columns include different features associated with each analysis to help identify trends that may exist between the presence of certain alien species and environmental variables. For example:

  • CorrectRisk: Risk assessment categories associated with each observed taxon
  • CorrectSpecies: Species identified within each study plot
  • location: Location details associated with each site surveyed
  • site: Site/survey plot references
  • AndersO / HanneH : Presence indicator for whether a specific individual recorded a given taxon or not
                              ( With AndersO & HanneH present, researcher identification will allow trend comparisons per researcher )
                           −§ ^This will allow comparison of competence between researchers if necessary)
      - Year : Year at which sites were sampled by specific individuals         -^ This promotes trend comparison over periods

In addition to these observations visualisations using this data might represent how existing resources may relate to areas that should focus more attention due to potential sites for concerned taxa influx (e.g., heavily populated areas). Exploratory analyses can also uncover environmental conditions both within surveyed plots; and outside surrounding study sites which affects our understanding on why certain species are observed versus others. Such analyses notably include measures measuring temperature & precipitation etc.. By considering all variables collaboratively it is possible that unforeseen associations could potentially shed light on risk factors underlying the extinction/colonisation behaviours managed by man or nature

Research Ideas

  • Identifying Hotspots of Alien Species: Analyzing the spatial distribution of alien species over time could give us valuable insights into the current and future hotspots for specific species, helping us better allocate resources for those regions where early detection and management is most important.
  • Predicting Risk Factors Associated With Certain Species: The dataset can be used to determine which environmental conditions may be influencing population growth or decline of certain species, helping us identify unique elements associated with their invasion risk or successful establishment in breeding populations.
  • Developing a Species Body Condition Index: Through understanding the temporal changes in abundance and physiology of individual species, a body condition index can be developed which can aid early detection of non-native invasions in Norway by providing an indication of health complexity and food availability across seasons and climate conditions that could impact survival rates when coupled with other non-chemical parameters such as temperature, dissolved oxygen levels in water bodies or mammal counts at different land use types such as housing, open land etc

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: EncHistPlants_Dec2020.csv

Column name Description
CorrectRisk Risk assessment of the species. (String)
CorrectSpecies Species name. (String)
year Year of the survey. (Integer)
location Location of the survey. (String)
site Site of the survey. (String)
AndersO Presence of species in the survey. (Boolean)
HanneH Presence of species in the survey. (Boolean)

File: enchist_lysering2019.csv

Column name Description
year Year of the survey. (Integer)
site Site of the survey. (String)
risk Risk assessment of the species. (String)
taxa Taxonomic group of the species. (String)
R1D Presence of species in the first round of sampling. (Boolean)
R2D Presence of species in the second round of sampling. (Boolean)
R3D Presence of species in the third round of sampling. (Boolean)
R4D Presence of species in the fourth round of sampling. (Boolean)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Enchist Etoh2019

@kaggle.thedevastator_alien_species_presence_in_norway.enchist_etoh2019
  • 9.47 KB
  • 2860 rows
  • 8 columns
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CREATE TABLE enchist_etoh2019 (
  "risk" VARCHAR,
  "taxa" VARCHAR,
  "year" BIGINT,
  "site" BIGINT,
  "r1d" BIGINT,
  "r2d" BIGINT,
  "r3d" BIGINT,
  "r4d" BIGINT
);

Enchist Knust2018

@kaggle.thedevastator_alien_species_presence_in_norway.enchist_knust2018
  • 9.05 KB
  • 2145 rows
  • 8 columns
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CREATE TABLE enchist_knust2018 (
  "risk" VARCHAR,
  "taxa" VARCHAR,
  "year" BIGINT,
  "site" BIGINT,
  "r1d" BIGINT,
  "r2d" BIGINT,
  "r3d" BIGINT,
  "r4d" VARCHAR
);

Enchist Lysering2019

@kaggle.thedevastator_alien_species_presence_in_norway.enchist_lysering2019
  • 10.42 KB
  • 2860 rows
  • 8 columns
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CREATE TABLE enchist_lysering2019 (
  "risk" VARCHAR,
  "taxa" VARCHAR,
  "year" BIGINT,
  "site" BIGINT,
  "r1d" DOUBLE,
  "r2d" DOUBLE,
  "r3d" BIGINT,
  "r4d" BIGINT
);

Enchist Lysering2020

@kaggle.thedevastator_alien_species_presence_in_norway.enchist_lysering2020
  • 9.95 KB
  • 3575 rows
  • 8 columns
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CREATE TABLE enchist_lysering2020 (
  "risk" VARCHAR,
  "taxa" VARCHAR,
  "year" BIGINT,
  "site" BIGINT,
  "r1d" BIGINT,
  "r2d" BIGINT,
  "r3d" BIGINT,
  "r4d" BIGINT
);

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