Including trait-based early warning signals helps predict population collapse
Predicting population collapse by monitoring key early warning signals in time-series data may highlight when interventions are needed. Here, the authors show that including information on phenotypic traits like body size can more accurately predict critical transitions than abundance data alone.
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| Main Authors: | , |
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| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2016
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| Subjects: | |
| Online Access: | https://doaj.org/article/01fed31c4bbf43e487fd8f45eb182cff |
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