Filters: Tags: Plant productivity (X)
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Climate change due to greenhouse gas emissions is predicted to raise the mean global temperature by 1.0-3.5�C in the next 50-100 years. The direct and indirect effects of this potential increase in temperature on terrestrial ecosystems and ecosystem processes are likely to be complex and highly varied in time and space. The Global Change and Terrestrial Ecosystems core project of the International Geosphere-Biosphere Programme has recently launched a Network of Ecosystem Warming Studies, the goals of which are to integrate and foster research on ecosystem-level effects of rising temperature. In this paper, we use meta-analysis to synthesize data on the response of soil respiration, net N mineralization, and aboveground...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Global warming,
Meta-analysis,
Nitrogen mineralization,
Oecologia,
Plant productivity,
Climate models predict, and empirical evidence confirms, that more extreme precipitation regimes are occurring in tandem with warmer atmospheric temperatures. These more extreme rainfall patterns are characterized by increased event size separated by longer within season drought periods and represent novel climatic conditions whose consequences for different ecosystem types are largely unknown. Here, we present results from an experiment in which more extreme rainfall patterns were imposed in three native grassland sites in the Central Plains Region of North America, USA. Along this 600 km precipitation–productivity gradient, there was strong sensitivity of temperate grasslands to more extreme growing season rainfall...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Global Change Biology,
climate change,
environmental gradients,
extreme events,
grassland,
We aim to create a user-friendly, online tool that will provide predictions about the upcoming year’s grassland and rangeland productivity for the southwestern U.S. This tool will allow land managers, policy makers, ranchers, scientists, and the general public to visualize and forecast grassland production for the upcoming season. The tool will integrate data from remote sensing, climate, and modeling techniques and, on a county-by-county scale, will provide updated forecasts every two weeks. This tool will have many uses, including for those who need to make decisions about wildlife, livestock, restoration, and fire.
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