LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes.
LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes.
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DOI：
10.1093/gigascience/gix101
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发表时间：
2017-12-01
期刊：
影响因子：
9.2
通讯作者：
Yuan S
中科院分区：
文献类型：
--
作者：
Soranno PA;Bacon LC;Beauchene M;Bednar KE;Bissell EG;Boudreau CK;Boyer MG;Bremigan MT;Carpenter SR;Carr JW;Cheruvelil KS;Christel ST;Claucherty M;Collins SM;Conroy JD;Downing JA;Dukett J;Fergus CE;Filstrup CT;Funk C;Gonzalez MJ;Green LT;Gries C;Halfman JD;Hamilton SK;Hanson PC;Henry EN;Herron EM;Hockings C;Jackson JR;Jacobson-Hedin K;Janus LL;Jones WW;Jones JR;Keson CM;King KBS;Kishbaugh SA;Lapierre JF;Lathrop B;Latimore JA;Lee Y;Lottig NR;Lynch JA;Matthews LJ;McDowell WH;Moore KEB;Neff BP;Nelson SJ;Oliver SK;Pace ML;Pierson DC;Poisson AC;Pollard AI;Post DM;Reyes PO;Rosenberry DO;Roy KM;Rudstam LG;Sarnelle O;Schuldt NJ;Scott CE;Skaff NK;Smith NJ;Spinelli NR;Stachelek JJ;Stanley EH;Stoddard JL;Stopyak SB;Stow CA;Tallant JM;Tan PN;Thorpe AP;Vanni MJ;Wagner T;Watkins G;Weathers KC;Webster KE;White JD;Wilmes MK;Yuan S
了解影响水质和淡水生态系统提供的生态服务的因素是一个紧迫的全球环境问题。预测水质如何应对全球变化不仅需要水质数据，还需要关于广阔空间范围内单个水体生态背景的信息。由于湖泊水质通常是在有限的地理区域内取样，而且取样时间往往有限，因此评估水质的环境控制需要将跨越广泛区域和时间的许多数据集汇编成一个综合数据库。LAGOS-NE为美国东北部17个州的湖泊实现了这一目标。LAGOS-NE包含美国17个湖泊丰富的州中51101个大于4公顷的湖泊和水库的数据。该数据库包括3个数据模块：湖泊位置和所有湖泊的物理特征;生态背景（即，所有湖泊的土地利用、地质、气候和水文环境）;以及过去30年来对大约2600- 12000个湖泊的湖泊水质进行现场测量，具体取决于变量。该数据库包含约150 000措施的总磷，200 000措施的叶绿素，和900 000措施的塞奇深度。这些水质数据来自联邦、州、部落和非营利机构、大学研究人员和公民科学家的87个湖泊水质数据集。该数据库是同类型中最大和最全面的数据库之一，因为它既包括现场测量数据，也包括生态背景数据。由于生态环境可以用来研究各种其他问题的湖泊，溪流和湿地，这个数据库也可以作为基础，在广阔的空间和生态尺度的淡水研究。
Understanding the factors that affect water quality and the ecological services provided by freshwater ecosystems is an urgent global environmental issue. Predicting how water quality will respond to global changes not only requires water quality data, but also information about the ecological context of individual water bodies across broad spatial extents. Because lake water quality is usually sampled in limited geographic regions, often for limited time periods, assessing the environmental controls of water quality requires compilation of many data sets across broad regions and across time into an integrated database. LAGOS-NE accomplishes this goal for lakes in the northeastern-most 17 US states. LAGOS-NE contains data for 51 101 lakes and reservoirs larger than 4 ha in 17 lake-rich US states. The database includes 3 data modules for: lake location and physical characteristics for all lakes; ecological context (i.e., the land use, geologic, climatic, and hydrologic setting of lakes) for all lakes; and in situ measurements of lake water quality for a subset of the lakes from the past 3 decades for approximately 2600–12 000 lakes depending on the variable. The database contains approximately 150 000 measures of total phosphorus, 200 000 measures of chlorophyll, and 900 000 measures of Secchi depth. The water quality data were compiled from 87 lake water quality data sets from federal, state, tribal, and non-profit agencies, university researchers, and citizen scientists. This database is one of the largest and most comprehensive databases of its type because it includes both in situ measurements and ecological context data. Because ecological context can be used to study a variety of other questions about lakes, streams, and wetlands, this database can also be used as the foundation for other studies of freshwaters at broad spatial and ecological scales.
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影响因子：
2.6
作者：
Cheruvelil KS;Yuan S;Webster KE;Tan PN;Lapierre JF;Collins SM;Fergus CE;Scott CE;Henry EN;Soranno PA;Filstrup CT;Wagner T
通讯作者：
Wagner T
影响因子：
11.4
作者：
Schindler, David W.;Carpenter, Stephen R.;Orihel, Diane M.
通讯作者：
Orihel, Diane M.
影响因子：
4.5
作者：
Filstrup, Christopher T.;Wagner, Tyler;Downing, John A.
通讯作者：
Downing, John A.
影响因子：
4.5
作者：
McDonald, Cory P.;Lottig, Noah R.;Stevenson, R. Jan
通讯作者：
Stevenson, R. Jan
影响因子：
3.7
作者：
Fergus CE;Finley AO;Soranno PA;Wagner T
通讯作者：
Wagner T