Ejrnæs, Rasmus; Liira, Jaan and Poulsen, Roar S. (2003) Discrimination of semi-natural plant communities from 2 abandoned fields by ordination and neural networks. [Submitted]
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Summary
This study deals with the succession from abandoned fields to semi-natural grassland and heathland vegetation and the discrimination between these types of habitat. We hypothesise that semi-natural condition may be indicated by species lists of vascular plants. A statistical classification model is developed, based on 2059 reference samples from Danish ancient grasslands and heathlands, and abandoned fields of varying age. This Succession Model is shown to discriminate effectively between abandoned fields and semi-natural habitats, and it is suggested to be useful for the detection of conservation-worthy abandoned fields. A test of four hypotheses regarding the model prediction of naturalness of abandoned fields revealed that successional age, period of abandonment and successional trajectory had significant impact on the succession on abandoned fields. The implications of the results for restoration of semi-natural habitats and the usefulness of the model in practical conservation management are discussed.
EPrint Type: | Journal paper |
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Subjects: | Environmental aspects > Biodiversity and ecosystem services |
Research affiliation: | Denmark > DARCOF II (2000-2005) > III.5 Nature quality in organic farming Denmark > AU - Aarhus University > AU, NERI - National Environmental Research Institute |
Deposited By: | Nygaard, Researcher Bettina |
ID Code: | 10276 |
Deposited On: | 15 Jan 2007 |
Last Modified: | 02 Feb 2022 16:34 |
Document Language: | English |
Status: | Submitted |
Refereed: | Submitted for peer-review but not yet accepted |
Available Versions of this Item
- Discrimination of semi-natural plant communities from 2 abandoned fields by ordination and neural networks. (deposited 15 Jan 2007) [Currently Displayed]
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