Data Set Citation:
When using this data, please cite the data package:
NCEAS 3460: Hawkins: Energy and geographic variation in species richness , National Center for Ecological Analysis and Synthesis , and Field R.
Scale and richness gradients
nceas.284.4 (https://knb.ecoinformatics.org:443/knb/metacat/nceas.284.4/nceas)
General Information:
Title:Scale and richness gradients
Identifier:nceas.284
Abstract:
The database comprises 393 non-experimental datasets describing geographic gradients richness gradients at any spatial scale. We searched journals, computerized literature databases and databases generated by other NCEAS working groups. The response variable was taxonomic richness (usually of species, but occasionally of genera or families) of any plant or animal group. A study was included if we could extract coefficients of determination of independent variables from any standard linear or non-linear statistical technique. Because a wide range of independent variables are measured in diversity studies, we classified them into six basic types (Climate/Productivity, Heterogeneity/Disturbance, Edaphics/Nutrients, Area, Biotic interactions and History, each of which represents a ‘hypothesis type’). We also included a few studies where pairs of independent variables were combined by authors, as long as they belonged to the same class of variable. A study was excluded if it considered only a single hypothesis type. In cases where raw data could be extracted from the original paper, we recalculated the models to verify the published results, transforming variables if appropriate and computing coefficients of determination if the original authors did not. Because some data were reanalyzed, the coefficients of determination sometimes differ from those originally reported. To facilitate comparative analyses, for each case five categorical grouping variables are provided: taxon, insularity, habitat medium, grain and extent. The final two are facets of scale, which was the main focus of the working group’s analysis.
Keywords:None:
  • Biodiversity (theme)
None:
  • Energy hypothesis (theme)
None:
  • Diversity gradients (theme)
None:
  • Scale (theme)
Data Table, Image, and Other Data Details:
Metadata download: Ecological Metadata Language (EML) File
Data Table:Species Richness Data ( View Metadata | Download File download)
Data Table:Literature Citations ( View Metadata | Download File download)

Involved Parties

Data Set Creators:
Organization:NCEAS 3460: Hawkins: Energy and geographic variation in species richness
Organization:National Center for Ecological Analysis and Synthesis
Individual: Richard Field
Organization:University of Nottingham
Address:
School of Geography,
Nottingham, Select state or territory here. NG7 2RD United Kingdom
Phone:
44 (0) 115 8466146 (voice)
Phone:
44 (0) 115 9515249 (Fax)
Email Address:
Richard.Field@nottingham.ac.uk
Data Set Contacts:
Individual: Richard Field
Organization:University of Nottingham
Address:
School of Geography,
Nottingham, Select state or territory here. NG7 2RD United Kingdom
Phone:
44 (0) 115 8466146 (voice)
Phone:
44 (0) 115 9515249 (Fax)
Email Address:
Richard.Field@nottingham.ac.uk
Associated Parties:
Individual: Bradford Hawkins
Metadata Providers:
Individual: Bradford Hawkins

Data Set Characteristics

Time Period:
Begin:
1967-01-01
End:
2002-12-31
Taxonomic Range:
Classification:
Rank Name:Kingdom
Rank Value:Plants
Classification:
Rank Name:Kingdom
Rank Value:Multicellular animals

Sampling, Processing and Quality Control Methods

Step by Step Procedures
Step 1:  
Description:

Extraction of published analyses

Coefficients of variation from any standard statistical technique were extracted from papers or were calculated when raw data provided by original authors.

Sampling Area And Frequency:
All available datasets describing richness gradient for any plant or animal group at any spatial scale.
Sampling Description:
not applicable

Data Set Usage Rights

no restrictions
Access Control:
Auth System:knb
Order:denyFirst
Metadata download: Ecological Metadata Language (EML) File