Predicting reintroduction outcomes using data from multiple populations
2014 doctoral thesis by Elizabeth Parlato at Massey University
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Predicting reintroduction outcomes using data from multiple populations
Summary
Predicting reintroduction outcomes using data from multiple populations is a doctoral thesis[1].
Key Facts
- Predicting reintroduction outcomes using data from multiple populations authored Elizabeth H Parlato[2].
- Predicting reintroduction outcomes using data from multiple populations's instance of is recorded as doctoral thesis[3].
- Predicting reintroduction outcomes using data from multiple populations's publisher is recorded as Massey Research Online[4].
- Predicting reintroduction outcomes using data from multiple populations's language of work or name is recorded as English[5].
- Predicting reintroduction outcomes using data from multiple populations's country of origin is recorded as New Zealand[6].
- Predicting reintroduction outcomes using data from multiple populations's publication date is recorded as +2014-00-00T00:00:00Z[7].
- Predicting reintroduction outcomes using data from multiple populations's main subject is recorded as North Island Robin[8].
- Predicting reintroduction outcomes using data from multiple populations's main subject is recorded as Philesturnus rufusater[9].
- Predicting reintroduction outcomes using data from multiple populations's main subject is recorded as biology[10].
- Predicting reintroduction outcomes using data from multiple populations's main subject is recorded as prediction[11].
- Predicting reintroduction outcomes using data from multiple populations's main subject is recorded as aquatic ecology[12].
- Predicting reintroduction outcomes using data from multiple populations's main subject is recorded as terrestrial[13].
- Predicting reintroduction outcomes using data from multiple populations's Handle ID is recorded as 10179/6217[14].
- Predicting reintroduction outcomes using data from multiple populations's title is recorded as Predicting reintroduction outcomes using data from multiple populations[15].
- Predicting reintroduction outcomes using data from multiple populations's copyright holder is recorded as Elizabeth H Parlato[16].
- Predicting reintroduction outcomes using data from multiple populations's thesis submitted to is recorded as Massey University[17].
- Predicting reintroduction outcomes using data from multiple populations's on focus list of Wikimedia project is recorded as NZThesisProject[18].
- Predicting reintroduction outcomes using data from multiple populations's copyright status is recorded as copyrighted[19].
- Predicting reintroduction outcomes using data from multiple populations's thesis committee member is recorded as Doug Armstrong[20].
- Predicting reintroduction outcomes using data from multiple populations's thesis committee member is recorded as John Gordon Innes[21].
Body
Designation and Status
Predicting reintroduction outcomes using data from multiple populations's instance of is recorded as doctoral thesis[3].