Predicted and Observed Responses of a Nonnative Channel Catfish Population Following Managed Removal to Aid the Recovery of Endangered Fishes
Predicted and Observed Responses of a Nonnative Channel Catfish Population Following Managed Removal to Aid the Recovery of Endangered Fishes
复制标题
预测和观察到的非本地斑点叉尾鮰种群在有管理的清除后的反应,以帮助濒危鱼类的恢复
DOI:
10.1002/nafm.10056
复制
发表时间:
2018
影响因子:
1.1
通讯作者:
N. R. Franssen
中科院分区:
文献类型:
--
作者:
C. Pennock;S. Durst;B. R. Duran;B. Hines;C. Cathcart;Jason E. Davis;Benjamin J. Schleicher;N. R. Franssen
Human transformation of aquatic systems and the introduction of nonnative species increasingly threaten the persistence of imperiled freshwater fishes. In response, large-scale mechanical removal of nonnative fishes has been implemented throughout parts of the Colorado River basin to aid recovery of endangered fishes, but the effects of these efforts can be difficult to quantify. Fisheries population models for predicting outcomes of harvest regulations have been widely used to prevent overfishing of commercial and game stocks. Here, we used population models to investigate size-specific removal efforts needed to overfish a nonnative population of Channel Catfish Ictalurus punctatus and thereby aid recovery of endangered fishes in the San Juan River, New Mexico and Utah. The minimum size of fish that were efficiently captured with electrofishing gear was 280 mm TL, and annual removal rates increased with fish size, ranging from 0.10 for 200-mm fish to 0.44 for 600-mm fish. Model results suggested that removal rates should be increased from 0.14 to a range of 0.21–0.34 to cause growth overfishing and should be increased to a range of 0.26–0.29 to cause recruitment overfishing at a minimum electrofishing size limit of 280 mm TL. However, model results indicated that overall population abundance and biomass are being substantially reduced compared to an unmanaged population. In concordance, long-term monitoring data from 1991 to 2015 demonstrated a decrease in Channel Catfish TL and mass as well as an increase in catch rate variability since removal efforts intensified in 2006. Overall, current rates of removal will probably not achieve collapse of the nonnative Channel Catfish population in the San Juan River, but the reduction in size structure indicates that the population has responded to these efforts. Freshwater fishes are threatened across the globe by the spread of nonnative species (Miller et al. 1989; Dextrase and Mandrak 2006; Dudgeon et al. 2006; Jelks et al. 2008), and invasive fishes are now prevalent in most North American basins (Gido and Brown 1999). Ecological and evolutionary effects of nonnative species on native fishes have been well documented and can occur at several levels of biotic organization (Strayer 2010; Cucherousset and Olden 2011). As a result, native fishes can suffer declines through competition with or predation by nonnative species (Minckley and Deacon 1968; Mills et al. 2004; Strayer 2010). Naturally depauperate fish communities, like those found in the American Southwest, are especially vulnerable to nonnative fish invasion and establishment (Fitzgerald et al. 2016), which has led to unprecedented imperilment of endemic fishes in this region (Minckley and Deacon 1968). Efforts to control or eradicate problematic nonnative fishes can be relatively inefficient because of limited ability to substantially reduce population sizes using common fisheries techniques (Mueller 2005; Coggins et al. 2011; Franssen et al. 2014; Propst et al. 2015). Nonetheless, these mechanical removal efforts have been implemented across the Colorado River basin and are among the few options managers have to suppress nonnative fishes (Tyus and Saunders 1996, 2000; USFWS 2002). Despite extensive and continued use of nonnative removal efforts, there has been limited documented success in these systems (Mueller 2005), largely due to the difficulty in linking population changes to these management actions over large spatial and temporal scales (Franssen et al. 2014; Propst et al. 2015). Outcomes of mechanical removal efforts aimed at reducing nonnative species are highly variable (Meronek et al. 1996), and it has generally been difficult to measure responses in both target and non-target populations. Fisheries population models can be used to monitor and assess exploited fish populations (Ricker 1975), and typically these models are used to predict the outcome of proposed harvest regulations on exploited fisheries, with the goal of preventing overfishing (Allen and Hightower 2010; Eder et al. 2016). Contrary to goals of managing recreational or commercial fisheries, nonnative fish removal programs seek to reduce the size of target populations and, ideally, cause their collapse to aid native species. However, the use of fisheries population models to estimate efforts of purposeful population depletions has been rare (Weber et al. 2011; Tsehaye et al. 2013). Mechanical removal of nonnative fishes in the San Juan River, New Mexico and Utah, has been ongoing since the late 1990s, with variable effort and spatial coverage, to aid endangered fishes (Franssen et al. 2014). Removal efforts have focused primarily on Channel Catfish Ictalurus punctatus and Common Carp Cyprinus carpio, with the latter being effectively reduced in number over time; however, Channel Catfish remain relatively abundant in the system (Franssen et al. 2014). Because these removal efforts are both costly and time consuming, there is a need to evaluate their effectiveness and continued feasibility of reducing targeted nonnative Channel Catfish. Here, we used fisheries population models and standardized monitoring to investigate the effect of nonnative Channel Catfish removal efforts aimed at benefiting the recovery of the federally protected Colorado Pikeminnow Ptychocheilus lucius and Razorback Sucker Xyrauchen texanus in the San Juan River. To accomplish this, we (1) used field-collected data to quantify size-specific rates of Channel Catfish removal using mark–recapture; (2) used field-based and literature-derived data to parameterize population models for estimating the rates of size2 PENNOCK ET AL.