Biodiversity modelling in practice - predicting bird and woody plant species richness on farmlands
In light of decreasing species richness on farmland and an increasing awareness of biodiversity issues among customers and food companies, concepts and models to evaluate and enhance farmland biodiversity are greatly needed. It is important that the models are easy to apply as they have to be utiliz...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-01-01
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| Series: | Ecosystems and People |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/26395916.2019.1697900 |
| _version_ | 1828909382942851072 |
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| author | Janine Sybertz Sarah Matthies Frank Schaarschmidt Michael Reich Christina von Haaren |
| author_facet | Janine Sybertz Sarah Matthies Frank Schaarschmidt Michael Reich Christina von Haaren |
| author_sort | Janine Sybertz |
| collection | DOAJ |
| description | In light of decreasing species richness on farmland and an increasing awareness of biodiversity issues among customers and food companies, concepts and models to evaluate and enhance farmland biodiversity are greatly needed. It is important that the models are easy to apply as they have to be utilized by practitioners such as farmers and their consultants. In this study, simple but valid predictors were identified to rapidly assess the species richness of birds and woody plants in hedgerows, an important farmland landscape element. Hedgerows were sampled in seven agricultural landscapes throughout Germany. By means of automatic model selection procedures, linear regression models were estimated to predict bird and woody plant species richness. Cross validation procedures were carried out in order to visualize model selection uncertainty and estimate the prediction error. Due to a rather high prediction error, the model for plants can only be recommended for use when field work is not feasible. The model for birds, however, explained 70.8% of the variance in species numbers. It may help farmers, food companies and nature conservation agencies to rapidly evaluate bird species richness in hedgerows on farmland and to identify potentials and appropriate measures for enhancing it. |
| first_indexed | 2024-12-13T18:26:53Z |
| format | Article |
| id | doaj.art-ef990c54c5584a9cb49def6c33cabae6 |
| institution | Directory Open Access Journal |
| issn | 2639-5916 |
| language | English |
| last_indexed | 2024-12-13T18:26:53Z |
| publishDate | 2020-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Ecosystems and People |
| spelling | doaj.art-ef990c54c5584a9cb49def6c33cabae62022-12-21T23:35:35ZengTaylor & Francis GroupEcosystems and People2639-59162020-01-01161193410.1080/26395916.2019.16979001697900Biodiversity modelling in practice - predicting bird and woody plant species richness on farmlandsJanine Sybertz0Sarah Matthies1Frank Schaarschmidt2Michael Reich3Christina von Haaren4Leibniz Universität HannoverLeibniz Universität HannoverLeibniz Universität HannoverLeibniz Universität HannoverLeibniz Universität HannoverIn light of decreasing species richness on farmland and an increasing awareness of biodiversity issues among customers and food companies, concepts and models to evaluate and enhance farmland biodiversity are greatly needed. It is important that the models are easy to apply as they have to be utilized by practitioners such as farmers and their consultants. In this study, simple but valid predictors were identified to rapidly assess the species richness of birds and woody plants in hedgerows, an important farmland landscape element. Hedgerows were sampled in seven agricultural landscapes throughout Germany. By means of automatic model selection procedures, linear regression models were estimated to predict bird and woody plant species richness. Cross validation procedures were carried out in order to visualize model selection uncertainty and estimate the prediction error. Due to a rather high prediction error, the model for plants can only be recommended for use when field work is not feasible. The model for birds, however, explained 70.8% of the variance in species numbers. It may help farmers, food companies and nature conservation agencies to rapidly evaluate bird species richness in hedgerows on farmland and to identify potentials and appropriate measures for enhancing it.http://dx.doi.org/10.1080/26395916.2019.1697900felix müller |
| spellingShingle | Janine Sybertz Sarah Matthies Frank Schaarschmidt Michael Reich Christina von Haaren Biodiversity modelling in practice - predicting bird and woody plant species richness on farmlands Ecosystems and People felix müller |
| title | Biodiversity modelling in practice - predicting bird and woody plant species richness on farmlands |
| title_full | Biodiversity modelling in practice - predicting bird and woody plant species richness on farmlands |
| title_fullStr | Biodiversity modelling in practice - predicting bird and woody plant species richness on farmlands |
| title_full_unstemmed | Biodiversity modelling in practice - predicting bird and woody plant species richness on farmlands |
| title_short | Biodiversity modelling in practice - predicting bird and woody plant species richness on farmlands |
| title_sort | biodiversity modelling in practice predicting bird and woody plant species richness on farmlands |
| topic | felix müller |
| url | http://dx.doi.org/10.1080/26395916.2019.1697900 |
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