Data from: Anthropogenic nutrient inputs affect productivity-biodiversity relationships in marine tintinnid assemblages
Data files
Mar 19, 2025 version files 156.88 KB
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FMP-submitted_to_LOletter_dataset_20240909.zip
153.02 KB
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README.md
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Abstract
Although the productivity-biodiversity relationship (PBR) has been a hot topic, few studies have considered how anthropogenic pressures affect PBRs in marine microzooplankton. Here, we provide the first insights into PBRs in tintinnid assemblages using 18-year data from Jiaozhou Bay, a typical coastal bay in the Yellow Sea. We hypothesized and verified that PBRs vary across contrasting anthropogenic nutrient inputs and that functional and phylogenetic diversity would deliver more information than conventional species richness. High productivity promotes more diversity under low to medium rather than high anthropogenic nutrient inputs. Compared to species richness, functional and phylogenetic diversity reveals more PBR patterns and responds more quickly in response to varying anthropogenic inputs. A concave+ PBR is revealed for functional diversity in the ecozone with highly active water exchange. Our study contributes to the understanding of PBR in marine unicellular secondary producers and their responses to anthropogenic nutrient inputs in coastal ecosystems.
Dataset DOI: 10.5061/dryad.k98sf7mdw
Description of the data and file structure
The dataset provides data employed in the manuscript of Limnology and Oceanography Letters doi: 10.1002/lol2.70001.
Authors
- Meiping Feng (Corresponding Author)
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Bingzhang Chen (Corresponding Author)
- [Other Authors as listed in the author contributions]
Authors Contributions
- Conceptualization & Study Design:
Meiping Feng, Bingzhang Chen - Field Sampling & Laboratory Work:
Meiping Feng, Wenhua Bian, Wuchang Zhang, Chaofeng Wang, Xiaoxia Sun, Shujin Guo - Data Compilation & Curation:
Meiping Feng, Wenhua Bian, Jichen Qiu, Yunfan Zhang, Siting Hu, Yijia Yang, Na Li, Jun Lin - Statistical Analysis:
Jichen Qiu, Meiping Feng, Bingzhang Chen, Kailin Liu - Manuscript Writing & Review:
Meiping Feng wrote the manuscript with support from Bingzhang Chen.
All authors critically reviewed and approved the manuscript.
Date of Data Collection
2005 – 2020
Abstract
Although the productivity-biodiversity relationship (PBR) has been a hot topic, few studies have considered how anthropogenic pressures affect PBRs in marine microzooplankton. Here, we provide the first insights into PBRs in tintinnid assemblages using 18-year data from Jiaozhou Bay, a typical coastal bay in the Yellow Sea. We hypothesized and verified that PBRs vary across contrasting anthropogenic nutrient inputs and that functional and phylogenetic diversity would deliver more information than conventional species richness. High productivity promotes more diversity under low to medium rather than high anthropogenic nutrient inputs. Compared to species richness, functional and phylogenetic diversity reveals more PBR patterns and responds more quickly in response to varying anthropogenic inputs. A concave+ PBR is revealed for functional diversity in the ecozone with highly active water exchange. Our study contributes to the understanding of PBR in marine unicellular secondary producers and their responses to anthropogenic nutrient inputs in coastal ecosystems.
File Information
Dataset File Name: FMP-submitted_to_LOletter_dataset_20240909.xlsx
Description of Data Columns
Column Name | Description | Unit of Measurement | Data Type |
---|---|---|---|
No | Sample number | N/A | Integer |
Year | Sampling year | YYYY | Integer |
Month | Sampling month | MM | Integer |
Date | Sampling date | YYYY-MM-DD | Date |
MOY | Month of the year (1-12) | N/A | Integer |
St | Station ID | N/A | Categorical |
AP | Anthropogenic level | N/A | Categorical |
Season | Sampling season | Spring/Summer/Fall/Winter | Categorical |
Lon | Longitude | Decimal degrees | Numeric |
Lat | Latitude | Decimal degrees | Numeric |
Layer | Water sampling layer | m | Numeric |
logBio | Log-transformed biomass | log(mgC/m³) | Numeric |
Richness | Species richness | Count | Integer |
LCfunct | Functional diversity | Index | Numeric |
LCphylo | Phylogenetic diversity | Index | Numeric |