Data from: Cross-boundary connections of biodiversity and ecosystem functioning in boreal ecosystems
Data files
Mar 11, 2025 version files 285.28 KB
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README.md
4.84 KB
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TER_AQU_data1.xlsx
28.66 KB
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TER_AQU_data2.xlsx
126.41 KB
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TER_AQU_data3.xlsx
39.48 KB
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TER_AQU_data4.xlsx
17.45 KB
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TER_AQU_data5.xlsx
68.43 KB
Abstract
Relationships between biodiversity and ecosystem functioning (BEF) are typically investigated separately in different ecosystem types, often neglecting connections across ecosystem boundaries. Here, we examined the cross-boundary relationships between terrestrial and aquatic biodiversity and terrestrial and aquatic ecosystem function (here productivity in terms of biomass). We collected a dataset from 100 Finnish boreal lakes for phytoplankton and zooplankton, and for trees and understory plants in the surrounding forest ecosystems. We explored the connections among climatic, catchment, and local environmental factors, and terrestrial and aquatic biodiversity and productivity using structural equation modeling (SEM). The results indicated cross-boundary connections between the two realms. Terrestrial biodiversity was associated with terrestrial productivity and connected to lake water chemistry directly and indirectly through terrestrial productivity. Water chemistry in turn was linked to aquatic biodiversity and productivity. Within both realms, biodiversity was positively associated with ecosystem productivity. The effects of biodiversity per se were weaker in the aquatic realm, in which nutrient availability was the strongest determinant of productivity. Our findings underscore the importance of exploring cross-ecosystem coupling, as the impacts of several global change drivers, such as climate and land-use change or eutrophication extend beyond individual realms to transcend ecosystem boundaries. In particular, the combined effects of warming, eutrophication, and increasing terrestrial productivity are likely to increase the import of allochthonous nutrients to boreal lake ecosystems, resulting in enhanced primary productivity therein. As freshwater ecosystems integrate the effects of direct and indirect changes in their catchments, they serve as ideal settings for investigating cross-ecosystem coupling and act as valuable sentinels of climate and other global changes.
https://doi.org/10.5061/dryad.h44j0zpw4
Description of the data and file structure
Data from: Cross-boundary connections of biodiversity and ecosystem functioning in boreal ecosystems
Files and variables
The dataset consists of the following five files:
TER_AQU_data1.xlsx (Data 1)
TER_AQU_data2.xlsx (Data 2)
TER_AQU_data3.xlsx (Data 3)
TER_AQU_data4.xlsx (Data 4)
TER_AQU_data5.xlsx (Data 5)
Description: Data are compiled in 5 Excel files:
1) Data 1 metadata
| Column | Entry | Unit | Explanation |
|---|---|---|---|
| A | lakeID | ID for each lake | |
| B | latitude | ° | Latitude |
| C | longitude | ° | Longitude |
| D | conductivity | μS/cm | Water conductivity |
| E | pH | Water pH | |
| F | water_temp | °C | Water temperature |
| G | water_depth | m | Water depth |
| H | solubleP | µg/l | Soluble phosphorus |
| I | TP | µg/l | Total phosphorus |
| J | TN | mg/l | Total nitrogen |
| K | chla | µg/l | Chlorophyll a |
| L | colour | mg Pt/l | Water colour |
| M | lake_area | ha | Lake area |
| N | clearcut | % | Catchment clear cut areas and tree regeneration (0–20 years) |
| O | artificial | % | Catchment artificial surfaces |
| P | agriculture | % | Catchment agricultural areas |
| Q | forest | % | Catchment forests and semi-natural areas (20+ years) |
| R | wetland | % | Catchment wetlands |
| S | water | % | Catchment waterbodies |
| T | NDVI | Normalized difference vegetation index | |
| U | tavg | °C | Average daily mean temperature |
| V | GDD | Growing degree days | |
| W | region | Sampling region (1 to 5) |
2) Data 2 metadata
| Column | Entry | Explanation |
|---|---|---|
| A | lakeID | ID for each lake |
| B onwards | Phytoplankton taxa names | Relative abundances for phytoplankton taxa |
3) Data 3 metadata
| Column | Entry | Explanation |
|---|---|---|
| A | lakeID | ID for each lake |
| B onwards | Zooplankton taxa names | Relative abundances for zooplankton taxa |
4) Data 4 metadata
| Column | Entry | Explanation |
|---|---|---|
| A | lakeID | ID for each lake |
| B | Spruce | Relative abundances for spruce |
| C | Pine | Relative abundances for pine |
| D | Birch | Relative abundances for birch |
| E | Other_broadleaved | Relative abundances for other broadleaved trees |
5) Data 5 metadata
| Column | Entry | Explanation |
|---|---|---|
| A | lakeID | ID for each lake |
| B onwards | Understory plant taxa names | Relative abundances for understory plant taxa |
