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Productivity Is a Poor Predictor of Plant Species Richness

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Journal 23 Sep 2011Embargo end date: 01 Jan 2011 United States, United Kingdom, United Kingdom, United States, Switzerland, Australia, United States, United States, Australia Publisher:American Association for the Advancement of Science (AAAS)Journal:Science, volume 333, pages 1,750-1,753 (issn: 0036-8075, eissn: 1095-9203,

Authors: Yann Hautier; Anita C. Risch; Andy Hector; Jennifer Firn; Kevin P. Kirkman; Eve I. Gasarch; Andrew S. MacDougall; +53 Authors

doi: 10.1126/science.1204498 , 10.5167/uzh-52491

pmid: 21940895

handle: 20.500.12876/23304

Productivity Is a Poor Predictor of Plant Species Richness

- Summary
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Abstract

Standardized sampling from many sites worldwide was used to address an important ecological problem.

Countries

United States, United Kingdom, United Kingdom, United States, Switzerland, Australia, United States, United States, Australia

Related Organizations

University of Melbourne
Australia
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Keywords

China, Evolution, Plant Biology, Plant Development, Community, Models, Biological, Herbaceous Vegetation, Biomass, Biology, Ecosystem, Plant Physiological Phenomena, 580, Diversity, Models, Statistical, Population Biology, Botany, Australia, Institute of Evolutionary Biology and Environmental Studies, Biodiversity, Hypothesis, Plants, Europe, 1000 General, Africa, North America, 570 Life sciences; biology, 590 Animals (Zoology), Regression Analysis, Plant Physiological Processes

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	489
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 0.1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 0.1%