干旱区生态环境知识资源中心(Arid): Development and Application of Predictive Models of Surface Water Extent to Identify Aquatic Refuges in Eastern Australian Temporary Stream Networks

Arid

DOI	10.1029/2019WR025216
	Development and Application of Predictive Models of Surface Water Extent to Identify Aquatic Refuges in Eastern Australian Temporary Stream Networks
	Yu, Songyan; Bond, Nick R.; Bunn, Stuart E.; Kennard, Mark J.
通讯作者	Yu, SY (corresponding author), Griffith Univ, Australian Rivers Inst, Nathan, Qld, Australia. ; Yu, SY (corresponding author), Griffith Univ, Sch Environm & Sci, Nathan, Qld, Australia.
来源期刊	WATER RESOURCES RESEARCH
ISSN	0043-1397
EISSN	1944-7973
出版年	2019
卷号	55 期号:11 页码:9639-9655
英文摘要	Many organisms living in temporary streams rely on remnant surface water to survive during extended dry periods and recolonize newly established habitats when flow resumes. However, research on the spatiotemporal variations in surface water extent for entire river networks is scarce. In this study, we first present a new field method for rapid surface water assessment. Next, we develop predictive models relating observed water extent to environmental attributes at a large number of surveyed stream segments (n = 241) in eastern Australian coastal catchments. We use the models to predict daily variations in surface water dynamics throughout entire river networks over the period of 1911-2017, based on available long-term environmental attributes influencing hydrological processes. We find descriptors of surface water extent can be accurately predicted based on robust internal and external validations. Environmental predictor variables representing water gaining processes were more important in predicting surface water extent than variables representing water losses. Simulated long-term variations in surface water extent were highly dynamic through space and time, particularly in inland streams, which were predicted to be the driest on average. Total stream length with surface water ranged from 8,974 to 13,742 km across the study period. Our study presents a novel and practical approach to quantifying and predicting variations in surface water extent, with potential applicability to other parts of the world. The simulated surface water extent through space and time can be used to identify and prioritize potential aquatic refuge areas that sustain aquatic biodiversity in river networks during extended dry periods.
类型	Article
语种	英语
开放获取类型	Green Published
收录类别	SCI-E
WOS记录号	WOS:000543939800070
WOS关键词	ARID-ZONE ; COOPER CREEK ; RIVER ; CONSERVATION ; CONNECTIVITY ; CLASSIFICATION ; RESISTANCE ; DYNAMICS ; PATTERNS ; VALUES
WOS类目	Environmental Sciences ; Limnology ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/369707
作者单位	[Yu, Songyan; Bunn, Stuart E.; Kennard, Mark J.] Griffith Univ, Australian Rivers Inst, Nathan, Qld, Australia; [Yu, Songyan; Bunn, Stuart E.; Kennard, Mark J.] Griffith Univ, Sch Environm & Sci, Nathan, Qld, Australia; [Bond, Nick R.] La Trobe Univ, Ctr Freshwater Ecosyst, Wodonga, Vic, Australia
推荐引用方式 GB/T 7714	Yu, Songyan,Bond, Nick R.,Bunn, Stuart E.,et al. Development and Application of Predictive Models of Surface Water Extent to Identify Aquatic Refuges in Eastern Australian Temporary Stream Networks[J],2019,55(11):9639-9655.
APA	Yu, Songyan,Bond, Nick R.,Bunn, Stuart E.,&Kennard, Mark J..(2019).Development and Application of Predictive Models of Surface Water Extent to Identify Aquatic Refuges in Eastern Australian Temporary Stream Networks.WATER RESOURCES RESEARCH,55(11),9639-9655.
MLA	Yu, Songyan,et al."Development and Application of Predictive Models of Surface Water Extent to Identify Aquatic Refuges in Eastern Australian Temporary Stream Networks".WATER RESOURCES RESEARCH 55.11(2019):9639-9655.