Restoring stream habitat connectivity: A proposed method for prioritizing the removal of resident fish passage barriers

被引:67
|
作者
O'Hanley, Jesse R. [1 ]
Wright, Jed [2 ]
Diebel, Matthew [3 ]
Fedora, Mark A. [4 ]
Soucy, Charles L. [5 ]
机构
[1] Univ Kent, Kent Business Sch, Canterbury CT2 7PE, Kent, England
[2] US Fish & Wildlife Serv, Gulf Maine Coastal Program, Falmouth, ME 04105 USA
[3] Wisconsin Dept Nat Resources, Sci Operat Ctr, Bur Sci Serv, Madison, WI 53716 USA
[4] Forest Serv Eastern Reg, USDA, Ironwood, MI 49938 USA
[5] Australis Aquaculture LLC, Turners Falls, MA 01376 USA
关键词
Fish passage barriers; Optimal barrier removal; Stream habitat restoration; Resident fish; Mixed integer linear programming; LOW-HEAD DAMS; DISPERSAL BARRIERS; RIVER; RESTORATION; MANAGEMENT; REFUGIA; TROUT;
D O I
10.1016/j.jenvman.2013.02.055
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Systematic methods for prioritizing the repair and removal of fish passage barriers, while growing of late, have hitherto focused almost exclusively on meeting the needs of migratory fish species (e.g., anadromous salmonids). An important but as of yet unaddressed issue is the development of new modeling approaches which are applicable to resident fish species habitat restoration programs. In this paper, we develop a budget constrained optimization model for deciding which barriers to repair or remove in order to maximize habitat availability for stream resident fish. Habitat availability at the local stream reach is determined based on the recently proposed C metric, which accounts for the amount, quality, distance and level of connectivity to different stream habitat types. We assess the computational performance of our model using geospatial barrier and stream data collected from the Pine-Popple Watershed, located in northeast Wisconsin (USA). The optimization model is found to be an efficient and practical decision support tool. Optimal solutions, which are useful in informing basin-wide restoration planning efforts, can be generated on average in only a few minutes. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:19 / 27
页数:9
相关论文
共 32 条
  • [31] Hierarchical Bayesian modelling with habitat and time covariates for estimating riverine fish population size by successive removal method
    Rivot, Etienne
    Prevost, Etienne
    Cuzol, Anne
    Bagliniere, Jean-Luc
    Parent, Eric
    CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES, 2008, 65 (01) : 117 - 133
  • [32] Relationships between the eDNA concentration obtained from metabarcoding and stream fish abundance estimated by the removal method under field conditions
    Nakagawa, Hikaru
    Fukushima, Keitaro
    Sakai, Masaru
    Wu, Luhan
    Minamoto, Toshifumi
    ENVIRONMENTAL DNA, 2022, 4 (06): : 1369 - 1380