Bibliographic Details
| Title: |
A global dataset of inland fisheries expert knowledge. |
| Authors: |
Stokes, Gretchen L., Lynch, Abigail J., Funge-Smith, Simon, Valbo‐Jørgensen, John, Beard, T. Douglas, Lowe, Benjamin S., Wong, Jesse P., Smidt, Samuel J. |
| Source: |
Scientific Data; 7/16/2021, Vol. 8 Issue 1, p1-10, 10p |
| Subject Terms: |
FISHERIES, FRESHWATER habitats, BIODIVERSITY, CLIMATE change, EFFECT of human beings on fishes |
| Abstract: |
Inland fisheries and their freshwater habitats face intensifying effects from multiple natural and anthropogenic pressures. Fish harvest and biodiversity data remain largely disparate and severely deficient in many areas, which makes assessing and managing inland fisheries difficult. Expert knowledge is increasingly used to improve and inform biological or vulnerability assessments, especially in data-poor areas. Integrating expert knowledge on the distribution, intensity, and relative influence of human activities can guide natural resource management strategies and institutional resource allocation and prioritization. This paper introduces a dataset summarizing the expert-perceived state of inland fisheries at the basin (fishery) level. An electronic survey distributed to professional networks (June-September 2020) captured expert perceptions (n = 536) of threats, successes, and adaptive capacity to fisheries across 93 hydrological basins, 79 countries, and all major freshwater habitat types. This dataset can be used to address research questions with conservation relevance, including: demographic influences on perceptions of threat, adaptive capacities for climate change, external factors driving multi-stressor interactions, and geospatial threat assessments. Measurement(s) Perception • Threats • Adaptive capacity Technology Type(s) Survey Factor Type(s) Fishery location • Demographics Sample Characteristic - Organism Homo sapiens • fish Sample Characteristic - Environment freshwater environment • lake • stream • wetland ecosystem Sample Characteristic - Location Europe • Asia • Oceania • Africa • South America • North America • Australia Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14749161 [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |
