
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Impacts of climate change drivers on C4 grassland productivity: scaling driver effects through the plant community

doi: 10.1093/jxb/eru009
pmid: 24501178
Climate change drivers affect plant community productivity via three pathways: (i) direct effects of drivers on plants; (ii) the response of species abundances to drivers (community response); and (iii) the feedback effect of community change on productivity (community effect). The contribution of each pathway to driver-productivity relationships depends on functional traits of dominant species. We used data from three experiments in Texas, USA, to assess the role of community dynamics in the aboveground net primary productivity (ANPP) response of C4 grasslands to two climate drivers applied singly: atmospheric CO2 enrichment and augmented summer precipitation. The ANPP-driver response differed among experiments because community responses and effects differed. ANPP increased by 80-120g m(-2) per 100 μl l(-1) rise in CO2 in separate experiments with pasture and tallgrass prairie assemblages. Augmenting ambient precipitation by 128mm during one summer month each year increased ANPP more in native than in exotic communities in a third experiment. The community effect accounted for 21-38% of the ANPP CO2 response in the prairie experiment but little of the response in the pasture experiment. The community response to CO2 was linked to species traits associated with greater soil water from reduced transpiration (e.g. greater height). Community effects on the ANPP CO2 response and the greater ANPP response of native than exotic communities to augmented precipitation depended on species differences in transpiration efficiency. These results indicate that feedbacks from community change influenced ANPP-driver responses. However, the species traits that regulated community effects on ANPP differed from the traits that determined how communities responded to drivers.
- Duke University United States
- Henry A. Wallace Beltsville Agricultural Research Center United States
- Iowa State University United States
- Iowa State University United States
- Agricultural Research Service United States
Climate Change, Ecology and Evolutionary Biology, evapotranspiration, precipitation, Poaceae, plant community composition, water-use efficiency, Biomass, Agricultural Science, Demography, C4 perennial grassland, 580, Water, Plant Breeding and Genetics, Plant Transpiration, Carbon Dioxide, Grassland, Texas, pasture, tallgrass prairie, transpiration efficiency, Atmospheric CO2 concentration, exotic plants
Climate Change, Ecology and Evolutionary Biology, evapotranspiration, precipitation, Poaceae, plant community composition, water-use efficiency, Biomass, Agricultural Science, Demography, C4 perennial grassland, 580, Water, Plant Breeding and Genetics, Plant Transpiration, Carbon Dioxide, Grassland, Texas, pasture, tallgrass prairie, transpiration efficiency, Atmospheric CO2 concentration, exotic plants
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).31 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 10% 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 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
