A global synthesis on land-cover changes in watersheds shaping freshwater detrital food webs
Data files
Jul 28, 2025 version files 422.38 KB
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dat_MA.txt
418.01 KB
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README.md
4.37 KB
Abstract
Anthropogenic land-cover changes are among the most pressing global threats to both aquatic and terrestrial ecosystems, jeopardising biodiversity and the critical connections between these systems. Resource flows and trophic interactions intricately link aquatic and terrestrial ecosystems, with terrestrial-derived detritus playing a foundational role in supporting aquatic food webs. These detrital inputs form essential cross-ecosystem linkages, underpinning key ecological processes and providing vital resources for aquatic communities. Yet, little research has focused on how land-cover changes cascade across this linkage. To better understand how land-cover changes in the watershed influence freshwater detrital food webs, we conducted a meta-analysis of field studies reporting the effects of vegetation changes on freshwater detrital consumers and organic matter decomposition. The results from 144 studies, reporting 1235 comparisons, showed that, overall, land-cover changes in the watershed vegetation, especially through harvest and land-use conversion, have negative effects on aquatic biodiversity and ecosystem processes. These vegetation changes reduced diversity, abundance, and biomass across multiple trophic levels in freshwater detrital food webs. Studies examining multiple organism groups most often observed negative responses across multiple trophic levels, suggesting that the land-cover changes negatively affected multiple detrital food web components simultaneously. Our results also show that outcomes of restoration of watershed vegetation were context-dependent, and no clear trend of improvement was visible. Therefore, conservation of natural riparian and catchment vegetation are key to maintain freshwater ecosystem processes and aquatic biodiversity worldwide, and more efficient and evidence-based restoration measures are urgently needed. As our global synthesis shows that direct human-induced alterations of vegetation type in watersheds have significant negative effects on freshwater detrital food webs, there is a pressing need to consider cross-ecosystem consequences of land-cover changes in conservation and ecosystem management.
This READ ME file contains information on the R-scripts and variables in the datasets used for the analyses.
Data files:
dat_MA.txt: Main dataset with information on each observation of each study, with the following variables:
- study_ID - Levels: several; unique identifier for each study (detailed infos can be found in the Supplementary material Table S5 and data sources)
- ID - Levels: continuous: unique identifier for each comparison
- year - Levels: continuous, publication year
- lat - Levels: continuous; latitude in decimal degrees
- lon - Levels: continuous; longitude in decimal degrees
- climate - Levels: boreal, temperate; sub-tropical, tropical, climate zone
- season - Levels: year, winter, spring, summer, autumn, dry, wet; timepoint of field study
- scale - Levels: local, catchment, local+catchment; spatial scale of field study
- temp_diff - Levels: continuous; temporal difference between before and after comparison in days
- space_diff - Levels: continuous; spatial difference between reference and altered comparison in meters
- duration - Levels: continuous; duration of decomposition assays in days
- water_body - Levels: several; type of water body, e.g., stream
- strahler - Levels: continuous; Strahler order
- veg_change - Levels: several; type of vegetation change according to authors
- width_ref - Levels: continuous; m width of riparian vegetation in the reference condition
- width_alt - Levels: continuous; m width of riparian vegetation in the altered condition
- cover_ref - Levels: continuous; % cover of refernence vegetation of riparian vegetation in the reference condition
- cover_alt - Levels: continuous; % cover of reference vegetation of the reference condition
- veg_ref - Levels: several; characterisation of reference vegetation and land cover
- veg_alt - Levels: several; characterisation of altered vegetation and land cover
- fw_category - Levels: 1-6; 1= detritus, 2= microbes, 3= macroinvertebrates+fish, 4= microbial decomposition, 5= shredder-mediated decomposition, 6= total decomposition
- fct_group - Levels: 1-3, functional group with 1= detritus, 2= microbes, 3= macroinvertebrates+fish
- om_type - Levels: several, organic matter type, e.g., leaf
- om_taxon - Levels: several, taxon name for organic matter
- microbe_type - Levels: several, type of microbe, e.g., bacteria
- invert_type - Levels: several, type of invertebrate, e.g., macroinvertebrate
- compartment_type - Levels: CPOM, benthic, water column, where organisms were collected
- metric - Levels: abundance, diversity, biomass, decomposition as ecosystem and community metrics
- unit - Levels: several; unit in which metric was reported
- mean_ref - Levels: continuous; mean reference value of this comparison
- mean_alt - Levels: continuous; mean altered value of this comparison
- n_ref - Levels: continuous; number of replications in the reference condition of this comparison
- n_alt - Levels: continuous; number of replications in the altered condition of this comparison
- origin - Levels: several; data origin description
- dataorigin - Levels: reported = either text, table or provided by authors, estimated= from figure extracted
- trophy - Levels: 1-4; 1= detritus, 2= microbes, 3= shredders, 4= omnivores
- Imputed_Value_ref - Levels: continuous; if imputed, new value for reference condition
- Imputed_Value_alt - Levels: continuous; if imputed, new value for altered condition
- sd_ref3 - Levels: continuous; standard deviation of reference value of this comparison
- sd_alt3 - Levels: continuous; standard deviation of altered value of this comparison
R-scripts: Run in R (version 4.4.1) on Windows.
Data_Distribution: requires dat_MA.
Descriptive Analysis of the Dataset. Outputs are Manuscript Figures 2 and Figures S8-S10.
Data_Analyis_ES: requires dat_MA.
Main Analysis of Effect Size for each moderator. Otuputs are Tables 1-2, Figures 3-4, and Table S2.
Data_Analyis_Multitropy: requires dat_MA.
Main Analysis of Effect Size for multitrophic effects. Otuputs are Figure 5.
Data_Analyis_PublicationBias: requires dat_MA.
Analysis for assessing publication bias. Otuputs are Figures S1-S5 and Table S5.
Data_Analyis_Sensitiviy: requires dat_MA.
Sensitivity analysis. Otuputs are Figures S6-S7 and Tables S3-S4.