A Statistical Method to Predict Flow Permanence in Dryland Streams from Time Series of Stream Temperature-Reference-Cited by-同舟云学术

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A Statistical Method to Predict Flow Permanence in Dryland Streams from Time Series of Stream Temperature

Published:2017-12-05 Issue:12 Volume:9 Page:946
ISSN:2073-4441
Container-title:Water
language:en
Short-container-title:Water

Author:

Arismendi Ivan,Dunham Jason,Heck Michael,Schultz Luke,Hockman-Wert David

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Link

http://www.mdpi.com/2073-4441/9/12/946/pdf

Reference28 articles.

1. Climate change poised to threaten hydrologic connectivity and endemic fishes in dryland streams

2. Recent perspectives on temporary river ecology

3. Accuracy of determination of stream lengths from topographic maps

4. Comparing the Extent and Permanence of Headwater Streams From Two Field Surveys to Values From Hydrographic Databases and Maps

5. Predicting alpine headwater stream intermittency: a case study in the northern Rocky Mountains

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1. Refuge identification as a climate adaptation strategy to promote fish persistence during drought;Fish and Fisheries;2024-09-09

2. Taking heat (downstream): Simulating groundwater and thermal equilibrium controls on annual paired air–water temperature signal transport in headwater streams;Journal of Hydrology;2024-07

3. Monitoring surface-water connectivity in a coastal lowland river using field-based data loggers;Journal of Hydrology;2024-04

4. Stream Network Dynamics of Non‐Perennial Rivers: Insights From Integrated Surface‐Subsurface Hydrological Modeling of Two Virtual Catchments;Water Resources Research;2024-02

5. Communication Distance and Bayesian Inference in Non‐Perennial Streams;Water Resources Research;2023-11

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