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Harold A. Mooney

Researcher at Stanford University

Publications -  450
Citations -  107065

Harold A. Mooney is an academic researcher from Stanford University. The author has contributed to research in topics: Ecosystem services & Evergreen. The author has an hindex of 135, co-authored 450 publications receiving 100404 citations. Previous affiliations of Harold A. Mooney include University of Bayreuth & Commonwealth Scientific and Industrial Research Organisation.

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Human Domination of Earth's Ecosystems

TL;DR: Human alteration of Earth is substantial and growing as discussed by the authors, between one-third and one-half of the land surface has been transformed by human action; the carbon dioxide concentration in the atmosphere has increased by nearly 30 percent since the beginning of the Industrial Revolution; more atmospheric nitrogen is fixed by humanity than by all natural terrestrial sources combined; more than half of all accessible surface fresh water is put to use by humanity; and about one-quarter of the bird species on Earth have been driven to extinction.
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Effect of aquaculture on world fish supplies

TL;DR: If the growing aquaculture industry is to sustain its contribution to world fish supplies, it must reduce wild fish inputs in feed and adopt more ecologically sound management practices.
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A global analysis of root distributions for terrestrial biomes

TL;DR: Rooting patterns for terrestrial biomes are analyzed and distributions for various plant functional groups are compared and the merits and possible shortcomings of the analysis are discussed in the context of root biomass and root functioning.
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Terrestrial ecosystem production: A process model based on global satellite and surface data

TL;DR: In this paper, the authors present a modeling approach aimed at seasonal resolution of global climatic and edaphic controls on patterns of terrestrial ecosystem production and soil microbial respiration using satellite imagery (Advanced Very High Resolution Radiometer and International Satellite Cloud Climatology Project solar radiation), along with historical climate (monthly temperature and precipitation) and soil attributes (texture, C and N contents) from global (1°) data sets as model inputs.