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The Konza Long-term Ecological Research site (LTER) is located on a 3,847 ha tall-grass prairie reserve in Kansas. Konza LTER is divided into experimental watersheds, where each watershed is subjected to a combination of different fire and grazing intensities. Long-term monitoring of small mammal communities has been conducted on a...MORE
This metadataset describes the effects of biodiversity on response variables of experimental studies published between 1974-2004. Dataset Location: Ecological Archives Methods : Data was extracted from 137 published articles, containing 761 measurments, for analysis within this study to determine the effect of biodiversity loss on variables relevant to agriculture, forestry,...MORE
This dataset summarized the effect of experimentally reducing species richess has on abundance or biomass of the focal group, abundance or biomass of the focal group's primary resource, and/or the depletion of resources by that trophic group. Dataset Location: Ecological Archives Methods: Experimental studies were chosen for their focus and...MORE
This web site hosts data from research in metropolitan Baltimore as a part of the Long Term Ecological Research Network. Data Location: https://baltimoreecosystemstudy.org/bes-data-catalog/ Site Location: Gwynns Falls watershed (76 o 30' N, 39 o 15' W) Baltimore, Maryland Datasets Available: THEMES - biodiversity, demographic/social, education, meteorology, modeling, patches, public health...MORE
This web site hosts data from the Konza Prairie Long Term Ecological Research Network from a central US grassland. Dataset Location: http://www.konza.ksu.edu/KNZ/pages/data/knzdata.aspx Site Location: Flint Hills Region, northeastern Kansas (39 o 05'N, 96 o 35' W) Datasets Available: THEMES - physical environment; net primary productivity; plant populations and communities; terrestrial...MORE
Via NEON's overview page: Data will be collected from 106 sites (60 terrestrial, 36 aquatic and 10 aquatic experimental) across the U.S. (including Alaska, Hawaii and Puerto Rico) using instrument measurements and field sampling. NEON will combine site-based data with remotely sensed data and existing continental-scale data sets (e.g. satellite...MORE