Journal
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 25, Issue 20, Pages 19887-19897Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-018-2200-2
Keywords
Ottelia acuminata (Gagnep.) Dandy; Substrates; Optimizing; Erhai Lake; Hierarchical clustering analysis; Antioxidant enzyme
Categories
Funding
- National Key R&D Program of China [2017YFC0505702]
- National Natural Science Foundation of China [41571478]
- National Water Pollution Control and Treatment Science and Technology Major Project [2015ZX07203-005]
- Anhui Provincial Top College Teacher Studying Visit Program [gxfx2017057]
- Yangtze River Ecology Investigation Project [043-140004]
- Doctor Scientific Research Foundation of Anqing Normal University [150001012]
- Youth Innovation Promotion Association of the Chinese Academy of Sciences
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Because of the unstable hydrodynamic conditions in the wild, the endangered aquatic plant should be cultivated first in constructed wetlands for the protection and expansion of germplasm resources. Ottelia acuminata (Gagnep.) Dandy has become extinct in Erhai Lake, Yunnan province, China. In order to optimize substrates for this species to artificial cultivation, the native substrate (sandy soils) and the other three representative ones (red paddy soils, alluvial paddy soils, and purple paddy soils) collected from Erhai lakeside were applied to cultivate O. acuminata for 50 days. Multi indicators, such as antioxidant enzymes activity, malondialdehyde and chlorophyll-alpha concentration, and relative growth rate of O. acuminata, were discussed and statistically analyzed to classify the substrates. The results suggested that even disregarding the physiology significance of these indicators, hierarchical clustering analysis had high efficiency on optimizing substrates. Although various single indexes suggested different optimal substrates for macrophyte growth, red paddy soil was never excluded out the optimal substrate classes. Further study is needed to assess the substrates optimization functionalities of these indicators. This study offers amounts of physiology data and an effective method to optimize substrates of O. acuminata. It is helpful for environmental scientists and ecological engineers to conduct the similar study on endangered species.
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