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Farm management, not soil microbial diversity, controls nutrient loss from smallholder tropical agriculture

Overview of attention for article published in Frontiers in Microbiology, March 2015
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Title
Farm management, not soil microbial diversity, controls nutrient loss from smallholder tropical agriculture
Published in
Frontiers in Microbiology, March 2015
DOI 10.3389/fmicb.2015.00090
Pubmed ID
Authors

Stephen A. Wood, Maya Almaraz, Mark A. Bradford, Krista L. McGuire, Shahid Naeem, Christopher Neill, Cheryl A. Palm, Katherine L. Tully, Jizhong Zhou

Abstract

Tropical smallholder agriculture is undergoing rapid transformation in nutrient cycling pathways as international development efforts strongly promote greater use of mineral fertilizers to increase crop yields. These changes in nutrient availability may alter the composition of microbial communities with consequences for rates of biogeochemical processes that control nutrient losses to the environment. Ecological theory suggests that altered microbial diversity will strongly influence processes performed by relatively few microbial taxa, such as denitrification and hence nitrogen losses as nitrous oxide, a powerful greenhouse gas. Whether this theory helps predict nutrient losses from agriculture depends on the relative effects of microbial community change and increased nutrient availability on ecosystem processes. We find that mineral and organic nutrient addition to smallholder farms in Kenya alters the taxonomic and functional diversity of soil microbes. However, we find that the direct effects of farm management on both denitrification and carbon mineralization are greater than indirect effects through changes in the taxonomic and functional diversity of microbial communities. Changes in functional diversity are strongly coupled to changes in specific functional genes involved in denitrification, suggesting that it is the expression, rather than abundance, of key functional genes that can serve as an indicator of ecosystem process rates. Our results thus suggest that widely used broad summary statistics of microbial diversity based on DNA may be inappropriate for linking microbial communities to ecosystem processes in certain applied settings. Our results also raise doubts about the relative control of microbial composition compared to direct effects of management on nutrient losses in applied settings such as tropical agriculture.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Brazil 1 <1%
France 1 <1%
Spain 1 <1%
Mexico 1 <1%
Unknown 138 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 21%
Student > Ph. D. Student 27 19%
Student > Master 23 16%
Student > Doctoral Student 12 8%
Student > Bachelor 8 6%
Other 21 14%
Unknown 24 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 41%
Environmental Science 37 26%
Earth and Planetary Sciences 5 3%
Engineering 4 3%
Social Sciences 3 2%
Other 9 6%
Unknown 27 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 March 2015.
All research outputs
#14,804,483
of 22,793,427 outputs
Outputs from Frontiers in Microbiology
#13,770
of 24,732 outputs
Outputs of similar age
#144,304
of 257,855 outputs
Outputs of similar age from Frontiers in Microbiology
#166
of 300 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,732 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 257,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 300 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.