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Complete data and code to generate datasets in: Occurrence and environmental data for aquatic plants of Minnesota from 1999-2018

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DataCite Commons2024-10-15 更新2025-04-09 收录
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https://hdl.handle.net/11299/264079
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资源简介:
A dataset (and multi-scale aggregations thereof) of point-level occurrences, relative abundances, and associated environmental data for macrophytes (freshwater plants) across Minnesota. The data encompass 3,194 surveys of 1,520 lakes and ponds performed over a 19-year timespan. A total of 372,091 points were sampled, across which 231 taxa were recorded. Macrophyte occurrence data and depth, as well as point-level relative-plant-abundance measures for a subset of surveys, were collated, cleaned, and joined to geospatial data and Secchi-depth measurements of water clarity, enabling light availability, a primary control on aquatic plant growth, to be estimated.

本数据集(及其多尺度聚合版本)收录了明尼苏达州全域内大型水生植物(macrophytes,淡水植物)的点位级发生记录、相对丰度数据及配套环境数据。该数据集涵盖了历时19年、针对1520个湖泊与池塘开展的3194次调查,共计采集372091个采样点位,在此范围内共记录到231个分类单元(taxa)。研究人员对部分调查中的大型水生植物发生数据、水深数据及点位级植物相对丰度指标进行了整理、清洗,并与地理空间数据及表征水体透明度的赛克深度(Secchi depth)测量值进行关联整合,由此得以估算对水生植物生长起主要调控作用的光照可获得性。
提供机构:
Data Repository for the University of Minnesota (DRUM)
创建时间:
2024-10-15
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