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A Framework for Identifying Plant Species to Be Used as ‘Ecological Engineers’ for Fixing Soil on Unstable Slopes

Overview of attention for article published in PLOS ONE, August 2014
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87 Mendeley
Title
A Framework for Identifying Plant Species to Be Used as ‘Ecological Engineers’ for Fixing Soil on Unstable Slopes
Published in
PLOS ONE, August 2014
DOI 10.1371/journal.pone.0095876
Pubmed ID
Authors

Murielle Ghestem, Kunfang Cao, Wenzhang Ma, Nick Rowe, Raphaëlle Leclerc, Clément Gadenne, Alexia Stokes

Abstract

Major reforestation programs have been initiated on hillsides prone to erosion and landslides in China, but no framework exists to guide managers in the choice of plant species. We developed such a framework based on the suitability of given plant traits for fixing soil on steep slopes in western Yunnan, China. We examined the utility of 55 native and exotic species with regard to the services they provided. We then chose nine species differing in life form. Plant root system architecture, root mechanical and physiological traits were then measured at two adjacent field sites. One site was highly unstable, with severe soil slippage and erosion. The second site had been replanted 8 years previously and appeared to be physically stable. How root traits differed between sites, season, depth in soil and distance from the plant stem were determined. Root system morphology was analysed by considering architectural traits (root angle, depth, diameter and volume) both up- and downslope. Significant differences between all factors were found, depending on species. We estimated the most useful architectural and mechanical traits for physically fixing soil in place. We then combined these results with those concerning root physiological traits, which were used as a proxy for root metabolic activity. Scores were assigned to each species based on traits. No one species possessed a suite of highly desirable traits, therefore mixtures of species should be used on vulnerable slopes. We also propose a conceptual model describing how to position plants on an unstable site, based on root system traits.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
France 1 1%
Unknown 85 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 26%
Student > Master 11 13%
Researcher 10 11%
Student > Bachelor 7 8%
Student > Doctoral Student 6 7%
Other 17 20%
Unknown 13 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 28%
Environmental Science 21 24%
Engineering 13 15%
Earth and Planetary Sciences 7 8%
Computer Science 3 3%
Other 4 5%
Unknown 15 17%