Seibold, Sebastian ; Hothorn, Torsten ; Gossner, Martin M. ; Simons, Nadja K. ; Blüthgen, Nico ; Müller, Jörg ; Ambarlı, Didem ; Ammer, Christian ; Bauhus, Jürgen ; Fischer, Markus ; Habel, Jan C. ; Penone, Caterina ; Schall, Peter ; Schulze, Ernst-Detlef ; Weisser, Wolfgang W. (2021)
Insights from regional and short‐term biodiversity monitoring datasets are valuable: a reply to Daskalova et al . 2021.
In: Insect Conservation and Diversity, 14 (1)
doi: 10.1111/icad.12467
Article, Bibliographie
This is the latest version of this item.
Abstract
Reports of major losses in insect biodiversity have stimulated an increasing interest in temporal population changes. Existing datasets are often limited to a small number of study sites, few points in time, a narrow range of land-use intensities and only some taxonomic groups, or they lack standardised sampling. While new monitoring programs have been initiated, they still cover rather short time periods.
Daskalova et al. 2021 (Insect Conservation and Diversity, 14, 1-18) argue that temporal trends of insect populations derived from short time series are biased towards extreme trends, while their own analysis of an assembly of shorter- and longer-term time series does not support an overall insect decline. With respect to the results of Seibold et al. 2019 (Nature, 574, 671-674) based on a 10-year multi-site time series, they claim that the analysis suffers from not accounting for temporal pseudoreplication.
Here, we explain why the criticism of missing statistical rigour in the analysis of Seibold et al. (2019) is not warranted. Models that include 'year' as random effect, as suggested by Daskalova et al. (2021), fail to detect non-linear trends and assume that consecutive years are independent samples which is questionable for insect time-series data.
We agree with Daskalova et al. (2021) that the assembly and analysis of larger datasets is urgently needed, but it will take time until such datasets are available. Thus, short-term datasets are highly valuable, should be extended and analysed continually to provide a more detailed understanding of insect population changes under the influence of global change, and to trigger immediate conservation actions.
| Item Type: | Article |
|---|---|
| Erschienen: | 2021 |
| Creators: | Seibold, Sebastian ; Hothorn, Torsten ; Gossner, Martin M. ; Simons, Nadja K. ; Blüthgen, Nico ; Müller, Jörg ; Ambarlı, Didem ; Ammer, Christian ; Bauhus, Jürgen ; Fischer, Markus ; Habel, Jan C. ; Penone, Caterina ; Schall, Peter ; Schulze, Ernst-Detlef ; Weisser, Wolfgang W. |
| Type of entry: | Bibliographie |
| Title: | Insights from regional and short‐term biodiversity monitoring datasets are valuable: a reply to Daskalova et al . 2021 |
| Language: | English |
| Date: | January 2021 |
| Journal or Publication Title: | Insect Conservation and Diversity |
| Volume of the journal: | 14 |
| Issue Number: | 1 |
| DOI: | 10.1111/icad.12467 |
| Corresponding Links: | |
| Abstract: | Reports of major losses in insect biodiversity have stimulated an increasing interest in temporal population changes. Existing datasets are often limited to a small number of study sites, few points in time, a narrow range of land-use intensities and only some taxonomic groups, or they lack standardised sampling. While new monitoring programs have been initiated, they still cover rather short time periods. Daskalova et al. 2021 (Insect Conservation and Diversity, 14, 1-18) argue that temporal trends of insect populations derived from short time series are biased towards extreme trends, while their own analysis of an assembly of shorter- and longer-term time series does not support an overall insect decline. With respect to the results of Seibold et al. 2019 (Nature, 574, 671-674) based on a 10-year multi-site time series, they claim that the analysis suffers from not accounting for temporal pseudoreplication. Here, we explain why the criticism of missing statistical rigour in the analysis of Seibold et al. (2019) is not warranted. Models that include 'year' as random effect, as suggested by Daskalova et al. (2021), fail to detect non-linear trends and assume that consecutive years are independent samples which is questionable for insect time-series data. We agree with Daskalova et al. (2021) that the assembly and analysis of larger datasets is urgently needed, but it will take time until such datasets are available. Thus, short-term datasets are highly valuable, should be extended and analysed continually to provide a more detailed understanding of insect population changes under the influence of global change, and to trigger immediate conservation actions. |
| Divisions: | 10 Department of Biology 10 Department of Biology > Ecological Networks |
| Date Deposited: | 04 Feb 2021 06:51 |
| Last Modified: | 05 Dec 2023 09:26 |
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Insights from regional and short‐term biodiversity monitoring datasets are valuable: a reply to Daskalova et al. 2021. (deposited 04 Dec 2023 10:15)
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