Arid
DOI10.1007/s11356-017-0128-6
Use of phytoproductivity data in the choice of native plant species to restore a degraded coal mining site amended with a stabilized industrial organic sludge
Chiochetta, Claudete G.1; Toumi, Hela2; Bohm, Renata F. S.1; Engel, Fernanda1; Poyer-Radetski, Gabriel3; Rorig, Leonardo R.4; Adani, Fabrizio5; Radetski, Claudemir M.1
通讯作者Radetski, Claudemir M.
来源期刊ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN0944-1344
EISSN1614-7499
出版年2017
卷号24期号:31页码:24624-24633
英文摘要

Coal mining-related activities result in a degraded landscape and sites associated with large amounts of dumped waste material. The arid soil resulting from acid mine drainage affects terrestrial and aquatic ecosystems, and thus, site remediation programs must be implemented to mitigate this sequential deleterious processes. A low-cost alternative material to counterbalance the affected physico-chemical-microbiological aspects of the degraded soil is the amendment with low contaminated and stabilized industrial organic sludge. The content of nutrients P and N, together with stabilized organic matter, makes this material an excellent fertilizer and soil conditioner, fostering biota colonization and succession in the degraded site. However, choice of native plant species to restore a degraded site must be guided by some minimal criteria, such as plant survival/adaptation and plant biomass productivity. Thus, in this 3-month study under environmental conditions, phytoproductivity tests with five native plant species (Surinam cherry Eugenia uniflora L., C. myrianthum-Citharexylum myrianthum, Inga-Inga spp., Brazilian peppertree Schinus terebinthifolius, and Sour cherry Prunus cerasus) were performed to assess these criteria, and additional biochemical parameters were measured in plant tissues (i.e., protein content and peroxidase activity) exposed to different soil/sludge mixture proportions. The results show that three native plants were more adequate to restore vegetation on degraded sites: Surinam cherry, C. myrianthum, and Brazilian peppertree. Thus, this study demonstrates that phytoproductivity tests associated with biochemical endpoint measurements can help in the choice of native plant species, as well as aiding in the choice of the most appropriate soil/stabilized sludge proportion in order to optimize biomass production.


英文关键词Phytotoxicity Degraded soil Native plants Soil restoration Sludge amendment Stabilized industrial sludge
类型Article
语种英语
国家Brazil ; Tunisia ; Italy
收录类别SCI-E
WOS记录号WOS:000413649700050
WOS关键词FRAXINUS-EXCELSIOR L. ; ACID-MINE DRAINAGE ; MICROBIAL ACTIVITY ; TEXTILE SLUDGE ; FOREST SOIL ; GROWTH ; ECOTOXICOLOGY ; BIOMARKERS ; RECOVERY ; WASTES
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/198798
作者单位1.Univ Vale Itajai, Lab Remediacao Ambiental, Rua Uruguai 458, BR-88302202 Itajai, SC, Brazil;
2.Univ Carthage, Fac Sci Bizerte, Zarzouna 7021, Bizerte, Tunisia;
3.Univ Estado Santa Catarina, Curso Geog, BR-88035001 Florianopolis, SC, Brazil;
4.Univ Fed Santa Catarina, Lab Ficol, Campus Trindade, BR-88040970 Florianopolis, SC, Brazil;
5.Univ Milan, Dipartimento Prod Vegetale, Via Celoria 2, I-20133 Milan, Italy
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Chiochetta, Claudete G.,Toumi, Hela,Bohm, Renata F. S.,et al. Use of phytoproductivity data in the choice of native plant species to restore a degraded coal mining site amended with a stabilized industrial organic sludge[J],2017,24(31):24624-24633.
APA Chiochetta, Claudete G..,Toumi, Hela.,Bohm, Renata F. S..,Engel, Fernanda.,Poyer-Radetski, Gabriel.,...&Radetski, Claudemir M..(2017).Use of phytoproductivity data in the choice of native plant species to restore a degraded coal mining site amended with a stabilized industrial organic sludge.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,24(31),24624-24633.
MLA Chiochetta, Claudete G.,et al."Use of phytoproductivity data in the choice of native plant species to restore a degraded coal mining site amended with a stabilized industrial organic sludge".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 24.31(2017):24624-24633.
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