干旱区生态环境知识资源中心(Arid): Diatom-based inference model for conductivity reconstructions in dryland river systems from north Patagonia, Argentina

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DOI	10.1007/s00027-021-00819-2
	Diatom-based inference model for conductivity reconstructions in dryland river systems from north Patagonia, Argentina
	Velez-Agudelo, Camilo; Espinosa, Marcela A.; Fayo, Rocio
通讯作者	Velez-Agudelo, C (corresponding author), Univ Nacl Mar del Plata, Inst Geol Costas & Cuaternario, Comis Invest Cient Prov Buenos Aire, Funes 3350,CC 722, RA-7600 Mar Del Plata, Argentina. ; Velez-Agudelo, C (corresponding author), Univ Nacl Mar del Plata, CONICET, UNMdP, Inst Invest Marinas & Costeras, Mar Del Plata, Argentina.
来源期刊	AQUATIC SCIENCES
ISSN	1015-1621
EISSN	1420-9055
出版年	2021
卷号	83 期号:4
英文摘要	Dryland river systems support a diverse aquatic biota in semi-arid and arid landscapes, but they are increasingly vulnerable to natural and human impacts. This study provides the first modern diatom training set (n = 38) from three dryland rivers in northern Patagonia, Argentina. The relationship between surface-sediment diatoms and contemporary environmental variables was explored using multivariate analyses. The results showed that surface-water chemistry varies among rivers in accordance with local-scale factors such hydro-climatic variability and anthropic activities. A total of 378 diatom taxa were identified but only 45 taxa occurred with relative abundances higher than 2% in at least one sediment sample. The Colorado and Negro rivers were characterized by high abundances of small tychoplanktic fragilarioids whereas the Chubut River was dominated by epiphytic and planktic taxa. The canonical correspondence analyses (CCA) showed that conductivity, pH and HCO3- were the main environmental variables governing diatoms distributions. A transfer function was developed for water conductivity using unimodal methods because of partial CCA and lambda(1)/lambda(2) ratio revealed that this variable had the largest unique effect on diatom variance. A weighted averaging (WA) model with tolerance downweighting and classic deshrinking provided a reasonably robust model (r(jack)(2) = 0.94 and RMSEP = 0.249 log(10) mu S cm(-1)). However, the diatom-inferred conductivity values should be carefully interpreted because of the uneven distribution of sampling sites and the dominance of small araphid diatoms belonging to the genera Staurosira, Pseudostaurosira and Punctastriata. By their benthic habitat, the distribution of these taxa could be influenced by other factors as light and substrate in addition to water chemistry. The autoecological information achieved through this study will provide the basis for a better insight into the hydrological responses of the dryland rivers in northern Patagonia to climate and environmental changes.
英文关键词	Diatoms Dryland rivers Conductivity Transfer function Patagonia Argentina
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000675397800001
WOS关键词	PHOSPHORUS TRANSFER-FUNCTIONS ; BADAIN JARAN DESERT ; INNER-MONGOLIA ; SHALLOW LAKES ; LATE HOLOCENE ; POTROK AIKE ; SALINITY ; ASSEMBLAGES ; BACILLARIOPHYTA ; AUSTRALIA
WOS类目	Environmental Sciences ; Limnology ; Marine & Freshwater Biology
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362507
作者单位	[Velez-Agudelo, Camilo; Espinosa, Marcela A.; Fayo, Rocio] Univ Nacl Mar del Plata, Inst Geol Costas & Cuaternario, Comis Invest Cient Prov Buenos Aire, Funes 3350,CC 722, RA-7600 Mar Del Plata, Argentina; [Velez-Agudelo, Camilo; Espinosa, Marcela A.; Fayo, Rocio] Univ Nacl Mar del Plata, CONICET, UNMdP, Inst Invest Marinas & Costeras, Mar Del Plata, Argentina
推荐引用方式 GB/T 7714	Velez-Agudelo, Camilo,Espinosa, Marcela A.,Fayo, Rocio. Diatom-based inference model for conductivity reconstructions in dryland river systems from north Patagonia, Argentina[J],2021,83(4).
APA	Velez-Agudelo, Camilo,Espinosa, Marcela A.,&Fayo, Rocio.(2021).Diatom-based inference model for conductivity reconstructions in dryland river systems from north Patagonia, Argentina.AQUATIC SCIENCES,83(4).
MLA	Velez-Agudelo, Camilo,et al."Diatom-based inference model for conductivity reconstructions in dryland river systems from north Patagonia, Argentina".AQUATIC SCIENCES 83.4(2021).