Data Set Citation:
When using this data, please cite the data package:
NCEAS 12320: Crone et al. 2010: When are matrix models useful for management? An empirical test across plant populations. The data and metadata presented here correspond to the publication by Crone et al. 2010 (Ecology Letters). Two data tables are provided below ("Full citation list of papers" and "Classifications of papers") for your convenience. The "Full citation list of papers" table provides the citations of the 396 published plant population modeling studies used in review. The citation ID corresponds to that used in the classification table. The "Classifications of papers" table provides a classification of studies in review by Crone et al. 2010 into: biology of species, study objectives, types of model outputs, and interpretation of model results. The citation for each study is given in the table of citations and the two tables are easily linked through the field citation.id. The metadata describe the fields in each table, and below you can download the tables (csv format). , National Center for Ecological Analysis and Synthesis , and Crone E. 2010.
How do plant ecologists use matrix models?
nceas.961.13 (https://knb.ecoinformatics.org:443/knb/metacat/nceas.961.13/nceas)
General Information:
Title:How do plant ecologists use matrix models?
Identifier:nceas.961
Abstract:
In the past three decades, the role of matrix-based demographic models in plant conservation has steadily increased. However, the reliability of these methods remains hotly debated. Most tests of model performance have relied on strict conditions for either the data sets being tested or the criteria used to judge accuracy of the results. This leads to a potential disconnect between the variety of ways in which models are used in practice and the limited set of conditions where their performance has been evaluated. As part of our working group, we set out to introduce and apply the idea that relevant tests depend on how exactly matrix models are used for managing populations. To this end, we systematically assessed 397 matrix models for plant populations to determine which population metrics (e.g. population growth rate, sensitivity, extinction risk) are being most commonly used in the literature and how literally authors are interpreting these metrics as predictions. The data sets available here contain both the citation information for all of the plant studies that we identified and the results of our review (see Crone et al., In Review, Ecology Letters). We have attempted to provide a nearly complete census of the available literature from 1966 through April 2009.
Keywords:None:
  • matrix model
  • plants
  • literature survey
  • demography
  • plant population dynamics
  • sensitivity analysis
  • matrix projection model
  • population growth rate
  • ecological forecasting
Publication Date:2010-01-21
Data Table, Image, and Other Data Details:
Metadata download: Ecological Metadata Language (EML) File
Data Table:Full citation list of papers ( View Metadata | Download File download)
Data Table:Classification of papers ( View Metadata | Download File download)

Involved Parties

Data Set Creators:
Organization:NCEAS 12320: Crone et al. 2010: When are matrix models useful for management? An empirical test across plant populations. The data and metadata presented here correspond to the publication by Crone et al. 2010 (Ecology Letters). Two data tables are provided below ("Full citation list of papers" and "Classifications of papers") for your convenience. The "Full citation list of papers" table provides the citations of the 396 published plant population modeling studies used in review. The citation ID corresponds to that used in the classification table. The "Classifications of papers" table provides a classification of studies in review by Crone et al. 2010 into: biology of species, study objectives, types of model outputs, and interpretation of model results. The citation for each study is given in the table of citations and the two tables are easily linked through the field citation.id. The metadata describe the fields in each table, and below you can download the tables (csv format).
Organization:National Center for Ecological Analysis and Synthesis
Individual: Elizabeth Crone
Organization:University of Montana
Address:
Missoula, Montana
Email Address:
ecrone@fas.harvard.edu
Data Set Contacts:
Individual: Martha Ellis
Organization:University of Montana
Address:
Missoula, Montana
Email Address:
martha.ellis@gmail.com
Associated Parties:
Individual: Eric Menges
Individual: Martha Ellis
Individual: Jennifer Williams
Metadata Providers:
Individual: Jennifer Williams

Data Set Characteristics

Geographic Region:
Geographic Description:No geographic limits were placed on the studies included in the literature review, and so studies are distributed worldwide.
Bounding Coordinates:
West:  -180.0000  degrees
East:  180.0000  degrees
North:  90.0000  degrees
South:  -90.0000  degrees
Time Period:
Begin:
1966
End:
2009
Taxonomic Range:
General Coverage:species in literature review include Angiosperms, Gymnosperms and Bryophytes
Classification:
Rank Name:Kingdom
Rank Value:Plant

Sampling, Processing and Quality Control Methods

Data Set Usage Rights

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Access Control:
Auth System:knb
Order:denyFirst
Metadata download: Ecological Metadata Language (EML) File