Invertebrate abundance and river drying data from Europe and South America: family and genus-level taxonomic resolution for perennial and non-perennial reaches
Data files
Dec 30, 2024 version files 902.93 KB
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EU_Genus_data_dryad.xlsx
412.24 KB
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invert_meg_data_dryad_.xlsx
487.48 KB
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README.md
3.22 KB
Jan 20, 2025 version files 2.87 MB
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EU_Genus_data_dryad_.xlsx
1.26 MB
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invert_meg_data_dryad__.xlsx
1.38 MB
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README.md
4.06 KB
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Water_course_distances_.xlsx
217.98 KB
Abstract
Drying river networks include non-perennial reaches that cease to flow or dry, and drying is becoming more prevalent with ongoing climate change. Biodiversity responses to drying have been explored mostly at local scales in a few regions, such as Europe and North America, limiting our ability to predict future global scenarios of freshwater biodiversity. Locally, drying acts as a strong environmental filter that selects for species with adaptations promoting resistance or resilience to desiccation, thus reducing aquatic α-diversity. At the river network scale, drying generates complex mosaics of dry and wet habitats, shaping metacommunities driven by both environmental and dispersal processes. By repeatedly resetting community succession, drying can enhance β-diversity in space and time. To investigate transferability of these concepts across continents, we compiled and analyzed a unique dataset of 43 aquatic invertebrate metacommunities from drying river networks in Europe and South America. In Europe, α-diversity was consistently lower in non-perennial than perennial reaches, whereas this pattern was not evident in South America. Concomitantly, β-diversity was higher in non-perennial reaches than in perennial ones in Europe but not in South America. In general, β-diversity was predominantly driven by turnover rather than nestedness. Dispersal was the main driver of metacommunity dynamics, challenging prevailing views in river science that environmental filtering is the primary process shaping aquatic metacommunities. Lastly, α-diversity decreased as drying duration increased, but this was not consistent across Europe. Overall, drying had continent-specific effects, suggesting limited transferability of knowledge accumulated from North America and Europe to other biogeographic regions. As climate change intensifies, river drying is increasing and our results underscore the importance of studying its effects across different regions. The importance of dispersal also suggests that management efforts should seek to enhance connectivity between reaches to effectively monitor, restore, and conserve freshwater biodiversity.
README: Invertebrate abundance and river drying data from Europe and South America: family and genus-level taxonomic resolution for perennial and non-perennial reaches
https://doi.org/10.5061/dryad.n5tb2rc5w
Description of the data and file structure
This dataset contains three separate files, two with invertebrate abundance and environmental data from different samples collected at perennial and non-perennial reaches of drying river networks (DRNs) in Europe and South America, and one containing water-course distance matrices of each DRN analyzed in this study.
Invertebrate abundance files are separated by taxonomic resolution: one at the family level and the other at the genus level. Both files are in Excel format, with one sheet containing the sampled data and another sheet providing the explanation of each column. Specifically, environmental sampled variables, which are reported in the first sheet are explained in the second sheet. 'N/A' (not applicable) appears in environmental variables or metadata to indicate missing information, which may vary by dataset depending on whether it was not collected or was lost.
This dataset combines information collected by coauthors, either specifically for this study or from previously published research. Details about data sources are provided in the 'authors' column.
The water-course distance file contains distance matrices for each site within the analyzed DRN. Each sheet in this file corresponds to a different DRN. This file includes the distance matrices for all 43 DRNs analyzed in this study.
Files and variables
All metadata can be found in the second tab in each file. Below is only a sampling of variables.
File: invert_meg_data_dryad.xlsx
Description: Macroinvertebrate data at family level resolution.
Variables
- Avg velocity macroinvertebrates (m/s)
- Average wetted width (m)
- Maximum depth (cm)
- Temperature (C)
- Ph
- Conductivity (µS/cm)
- Oxygen (mg/l)
- Discharge (l/s)
- Basin Area km2
- Elevation (m)
- Reach type: The classification of the sampled reach based on its flow regime, indicating whether it is perennial (flowing year-round) or non-perennial (temporal or intermittent, with periods of no flow).
File: EU_Genus_data_dryad_.xlsx
Description: Macroinvertebrate data at genus level resolution.
Variables
TotFlow | Total duration (in days) that the water was flowing at the sampled reach throughout the monitoring period. |
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TotDur | Total duration (in days) of drying events experienced by the sampled reach throughout the monitoring period. |
TotNum | Total number of drying events that occurred throughout the monitoring period. |
Stream_type | The classification of the sampled reach based on its flow regime, indicating whether it is perennial (flowing year-round) or non-perennial (temporal or intermittent, with periods of no flow). |
File: Water_course_distances_.xlsx
Description: This file includes the distance matrices for all 43 DRNs analyzed in this study. Each sheet in this file corresponds to a different DRN. This file does not contain variables.
Code/software
All R packages and functions used for data processing are specified in the manuscript.
Version Changes
Jan-2025: Added additional data from rivers in France and Italy to the invertebrate abundance files at the family and genus taxonomic levels. Additionally, an Excel file containing watercourse distance matrices was included.
Methods
Aquatic invertebrate metacommunity datasets from Europe and South America were identified and compiled. Selection was based on four criteria. Drying was the main source of environmental variation and sampled rivers were minimally or least impacted with moderate to high water quality. For each metacommunity, each reach was sampled at least once before and once after drying to capture the local effects of the drying on metacommunity dynamics. Sampling methods were quantitative or semi-quantitative. Nine datasets were compiled, spanning 12 countries, 41 rivers, 43 metacommunities, and 2505 samples from 696 unique reaches and 249 sampling campaigns. Communities were sampled between 2004 to 2022 and covered a wide environmental gradient across both continents, ranging from first-order gravel-bed headwater streams to fifth-order sand-bed rivers. DRN catchment areas ranged between 13 and 1076 km². Datasets included 3–8 environmental variables from stream velocity, wetted width, maximum depth, temperature, pH, conductivity, dissolved oxygen, and discharge.