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A mapping technique to evaluate age‐0 salmon habitat response from restoration
Author(s) -
Goodman Damon H.,
Som Nicholas A.,
Alvarez Justin,
Martin Aaron
Publication year - 2015
Publication title -
restoration ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.214
H-Index - 100
eISSN - 1526-100X
pISSN - 1061-2971
DOI - 10.1111/rec.12148
Subject(s) - habitat , restoration ecology , adaptive management , fish migration , population , chinook wind , habitat destruction , environmental science , environmental resource management , ecology , geography , fishery , fish <actinopterygii> , biology , oncorhynchus , demography , sociology
To combat decades of anthropogenic degradation, restoration programs seek to improve ecological conditions through habitat enhancement. Rapid assessments of condition are needed to support adaptive management programs and improve the understanding of restoration effects at a range of spatial and temporal scales. Previous attempts to evaluate restoration practices on large river systems have been hampered by assessment tools that are irreproducible or metrics without clear connections to population responses. We modified a demonstration flow assessment approach to assess the realized changes in habitat quantity and quality attributable to restoration effects. We evaluated the technique's ability to predict anadromous salmonid habitat and survey reproducibility on the Trinity River in northern California. Fish preference clearly aligned with a priori designations of habitat quality: the odds of observing rearing Chinook or coho salmon within high‐quality habitats ranged between 10 and 16 times greater than low qualities, and in all cases the highest counts were associated with highest quality habitat. In addition, the technique proved to be reproducible with “substantial” to “almost perfect” agreement of results from independent crews, a considerable improvement over a previous demonstration flow assessment. These results support the use of the technique for assessing changes in habitat from restoration efforts and for informing adaptive management decisions.