Effects of vegetation restoration on soil quality in fragile karst ecosystems of southwest China

PeerJ
Huiling Guan, Jiangwen Fan

Abstract

Soil quality assessment is important for karst ecosystems where soil erosion is significant. A large amount of vegetation restoration has been implemented since the early 21st century in degraded karst areas across southwestern China. However, the impacts on soil quality of different restoration types rarely have been compared systematically. In the current study, we investigated the soil quality after a number of vegetation restoration projects as well as their adjacent cropland by analyzing soil samples. Six vegetation restoration types were evaluated, including one natural restoration (natural shrubland, protected for 13 years), three economic forests (4 years Eucalyptus robusta, 4 years Prunus salicina and 6 years Zenia insignis) and two mixed forests (1 year Juglans regia-crop and 13 years Toona sinensis-Pennisetum purpureum ). We evaluated the benefits of different restoration types more accurately by setting each adjacent cropland as the control and setting the variation between the corresponding restored and control site as the evaluation object so that the background differences of six sites could be eliminated. The results indicated that natural shrubland, Toona sinensis-Pennisetum purpureum and Zenia insignis were ef...Continue Reading

References

Jan 16, 2014·Environmental Science & Technology·James W Roy, Greg Bickerton
Nov 3, 2015·The Science of the Total Environment·S MukhopadhyayS P Shukla
Aug 11, 2016·Frontiers in Microbiology·Fisseha AsmelashEmiru Birhane
Sep 28, 2017·The Science of the Total Environment·Quentin VincentCorinne Leyval
May 16, 2018·The Science of the Total Environment·Shujuan GuoGaihe Yang
Oct 9, 2018·The Science of the Total Environment·Yaohua ZhangWei Luo
Jan 11, 2019·Scientific Reports·Christopher D DavidsonBrendon M Baker

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Citations

Feb 19, 2021·Journal of Environmental Management·Yahya KoochGhasem Ali Dianati Tilaki

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Methods Mentioned

BETA
MDS
PCA

Software Mentioned

Origin
dismo
R
SPSS

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