Predicting reintroduction outcomes using data from multiple populations
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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 was published by 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 was published on 2014[7].
- Predicting reintroduction outcomes using data from multiple populations's main subject is North Island Robin[8].
- Predicting reintroduction outcomes using data from multiple populations's main subject is Philesturnus rufusater[9].
- Predicting reintroduction outcomes using data from multiple populations's main subject is biology[10].
- Predicting reintroduction outcomes using data from multiple populations's main subject is prediction[11].
- Predicting reintroduction outcomes using data from multiple populations's main subject is aquatic ecology[12].
- Predicting reintroduction outcomes using data from multiple populations's main subject is terrestrial[13].
- Predicting reintroduction outcomes using data from multiple populations's title is recorded as Predicting reintroduction outcomes using data from multiple populations[14].
- Predicting reintroduction outcomes using data from multiple populations's copyright holder is recorded as Elizabeth H Parlato[15].
- Predicting reintroduction outcomes using data from multiple populations's thesis submitted to is recorded as Massey University[16].
- Predicting reintroduction outcomes using data from multiple populations's on focus list of Wikimedia project is recorded as NZThesisProject[17].
- Predicting reintroduction outcomes using data from multiple populations's copyright status is recorded as copyrighted[18].
- Predicting reintroduction outcomes using data from multiple populations's thesis committee member is recorded as Doug Armstrong[19].
- Predicting reintroduction outcomes using data from multiple populations's thesis committee member is recorded as John Gordon Innes[20].
- Predicting reintroduction outcomes using data from multiple populations's thesis submitted for degree is recorded as Doctor of Philosophy[21].
Body
Designation and Status
Predicting reintroduction outcomes using data from multiple populations's instance of is recorded as doctoral thesis[3].