Matches in SemOpenAlex for { <https://semopenalex.org/work/W2519035634> ?p ?o ?g. }
- W2519035634 endingPage "955" @default.
- W2519035634 startingPage "941" @default.
- W2519035634 abstract "Abstract Basin‐scale predictive geomorphic models for river characteristics, particularly grain size, can aid in salmonid habitat identification. However, these basin‐scale methods are largely untested with actual habitat usage data. Here, we develop and test an approach for predicting grain size distributions from high resolution LiDAR (Light Detection and Ranging)‐derived topographic data for a 77 km 2 watershed along the central California Coast. This approach improves on previous efforts in that it predicts the full grain size distribution and incorporates an empirically calibrated shear stress partitioning factor. The predicted grain size distributions are used to calculate the fraction of the bed area movable by spawning fish. We then compare the ‘movable fraction’ with 7 years of observed spawning data. We find that predicted movable fraction explains the paucity of spawning in the upper reaches of the study drainage, but does not explain variation along the mainstem. In search of another morphologic characteristic that may help explain the variation within the mainstem, we measure riffle density, a proxy for physical habitat complexity. We find that field surveys of riffle density explain 64% of the variation in spawning in these mainstem reaches, suggesting that within reaches of appropriate sized gravel, spawning density is related to riffle density. Because riffle density varies systematically with channel width, predicting riffle spacing is straightforward with LiDAR data. Taken together, these findings demonstrate the efficacy of basin‐scale spawning habitat predictions made using high‐resolution digital elevation models. Copyright © 2016 John Wiley & Sons, Ltd." @default.
- W2519035634 created "2016-09-23" @default.
- W2519035634 creator A5056970361 @default.
- W2519035634 creator A5061203802 @default.
- W2519035634 date "2016-10-06" @default.
- W2519035634 modified "2023-10-16" @default.
- W2519035634 title "Basin‐scale methods for predicting salmonid spawning habitat via grain size and riffle spacing, tested in a California coastal drainage" @default.
- W2519035634 cites W1587869157 @default.
- W2519035634 cites W1912401404 @default.
- W2519035634 cites W1967508676 @default.
- W2519035634 cites W1970797734 @default.
- W2519035634 cites W1972651038 @default.
- W2519035634 cites W1979653071 @default.
- W2519035634 cites W1982792109 @default.
- W2519035634 cites W1988519738 @default.
- W2519035634 cites W1991129484 @default.
- W2519035634 cites W2000196222 @default.
- W2519035634 cites W2006085743 @default.
- W2519035634 cites W2007666156 @default.
- W2519035634 cites W2020925934 @default.
- W2519035634 cites W2024505916 @default.
- W2519035634 cites W2037401235 @default.
- W2519035634 cites W2043528418 @default.
- W2519035634 cites W2045896600 @default.
- W2519035634 cites W2054109613 @default.
- W2519035634 cites W2055487262 @default.
- W2519035634 cites W2055803058 @default.
- W2519035634 cites W2061491824 @default.
- W2519035634 cites W2063713116 @default.
- W2519035634 cites W2073344806 @default.
- W2519035634 cites W2074749143 @default.
- W2519035634 cites W2076039118 @default.
- W2519035634 cites W2085663892 @default.
- W2519035634 cites W2087793315 @default.
- W2519035634 cites W2109129952 @default.
- W2519035634 cites W2110539855 @default.
- W2519035634 cites W2120694021 @default.
- W2519035634 cites W2121785486 @default.
- W2519035634 cites W2126124139 @default.
- W2519035634 cites W2126149294 @default.
- W2519035634 cites W2126728600 @default.
- W2519035634 cites W2130991502 @default.
- W2519035634 cites W2138447561 @default.
- W2519035634 cites W2140898779 @default.
- W2519035634 cites W2150329594 @default.
- W2519035634 cites W2153997251 @default.
- W2519035634 cites W2154274788 @default.
- W2519035634 cites W2156087835 @default.
- W2519035634 cites W2160142336 @default.
- W2519035634 cites W2164968309 @default.
- W2519035634 cites W2165730445 @default.
- W2519035634 cites W2165971536 @default.
- W2519035634 cites W2169938632 @default.
- W2519035634 cites W2171258392 @default.
- W2519035634 cites W2318358857 @default.
- W2519035634 cites W2323929064 @default.
- W2519035634 cites W2328474936 @default.
- W2519035634 cites W2778929046 @default.
- W2519035634 cites W4234098383 @default.
- W2519035634 cites W4248017344 @default.
- W2519035634 cites W4255489191 @default.
- W2519035634 doi "https://doi.org/10.1002/esp.4053" @default.
- W2519035634 hasPublicationYear "2016" @default.
- W2519035634 type Work @default.
- W2519035634 sameAs 2519035634 @default.
- W2519035634 citedByCount "9" @default.
- W2519035634 countsByYear W25190356342018 @default.
- W2519035634 countsByYear W25190356342019 @default.
- W2519035634 countsByYear W25190356342020 @default.
- W2519035634 countsByYear W25190356342021 @default.
- W2519035634 countsByYear W25190356342022 @default.
- W2519035634 crossrefType "journal-article" @default.
- W2519035634 hasAuthorship W2519035634A5056970361 @default.
- W2519035634 hasAuthorship W2519035634A5061203802 @default.
- W2519035634 hasConcept C100970517 @default.
- W2519035634 hasConcept C109007969 @default.
- W2519035634 hasConcept C114793014 @default.
- W2519035634 hasConcept C119857082 @default.
- W2519035634 hasConcept C126645576 @default.
- W2519035634 hasConcept C127313418 @default.
- W2519035634 hasConcept C150547873 @default.
- W2519035634 hasConcept C181843262 @default.
- W2519035634 hasConcept C185933670 @default.
- W2519035634 hasConcept C187320778 @default.
- W2519035634 hasConcept C18903297 @default.
- W2519035634 hasConcept C192191005 @default.
- W2519035634 hasConcept C205649164 @default.
- W2519035634 hasConcept C2777947409 @default.
- W2519035634 hasConcept C2778755073 @default.
- W2519035634 hasConcept C39432304 @default.
- W2519035634 hasConcept C41008148 @default.
- W2519035634 hasConcept C51399673 @default.
- W2519035634 hasConcept C58640448 @default.
- W2519035634 hasConcept C62649853 @default.
- W2519035634 hasConcept C76886044 @default.
- W2519035634 hasConcept C86803240 @default.
- W2519035634 hasConceptScore W2519035634C100970517 @default.
- W2519035634 hasConceptScore W2519035634C109007969 @default.