Hostname: page-component-76fb5796d-9pm4c Total loading time: 0 Render date: 2024-04-26T05:51:26.831Z Has data issue: false hasContentIssue false

Removal of the Invasive Shrub, Lonicera maackii (Amur Honeysuckle), from a Headwater Stream Riparian Zone Shifts Taxonomic and Functional Composition of the Aquatic Biota

Published online by Cambridge University Press:  04 August 2017

Rachel E. McNeish*
Affiliation:
PhD student and Associate Professor, Department of Biology, University of Dayton, Dayton, OH 45469
M. Eric Benbow
Affiliation:
Associate Professor, Department of Entomology and Department of Osteopathic Medical Specialties, Michigan State University, East Lansing, MI 48824
Ryan W. McEwan
Affiliation:
PhD student and Associate Professor, Department of Biology, University of Dayton, Dayton, OH 45469
*
*Corresponding author’s E-mail: rachel.e.mcneish@gmail.com
Rights & Permissions [Opens in a new window]

Abstract

Riparian plant invasions can result in near-monocultures along stream and river systems, prompting management agencies to target invasive species for removal as an ecological restoration strategy. Riparian plant invaders can alter resource conditions in the benthos and drive bottom-up shifts in aquatic biota. However, the influence of management activities on the structure and function of aquatic communities is not well understood. We investigated how removal of a riparian invader, Lonicera maackii (Amur honeysuckle), influenced aquatic macroinvertebrate community functional and taxonomic diversity in a headwater stream. We hypothesized that removal of L. maackii from invaded riparia would result in (H1) increased aquatic macroinvertebrate abundance, density, and diversity; (H2) a taxonomic and functional shift in community composition; and, in particular, (H3) increased functional diversity. Aquatic macroinvertebrates were sampled monthly from autumn 2010 to winter 2013 in headwater stream riffles with a dense riparian L. maackii invasion and those where L. maackii had been experimentally removed. We found macroinvertebrate density was significantly higher in the L. maackii removal reach (P<0.05) and that macroinvertebrate community structure and functional trait presence was distinct between stream reaches and across seasons (P<0.05). The removal reach exhibited greater functional richness during spring and summer and had more unique functionally relevant taxa (20% and 85%) compared with the L. maackii reach (5% and 75%) during summer and autumn seasons. Our results suggest bottom-up processes link restoration activities in the riparian corridor and aquatic biota through alterations of functional composition in the benthic community.

Type
Research and Education
Copyright
© Weed Science Society of America, 2017 

Taxonomic and functional diversity within ecological communities are shaped by biotic and abiotic conditions and influence broader ecosystem processes (Allison Reference Allison2012; Webb et al. Reference Webb, Hoeting, Ames, Pyne and LeRoy Poff2010; Xiao et al. Reference Xiao, Xie, An and Lu2012). Biotic interactions (e.g., competition, facilitation) and environmental “filter effects” (e.g., hydrologic and temperature gradients) influence community composition and trait presence from plot-to-global spatial scales (Gross et al. Reference Gross, Kunstler, Liancourt, de Bello, Suding and Lavorel2009; Lamouroux et al. Reference Lamouroux, Poff and Angermeier2002; McGill et al. Reference McGill, Enquist, Weiher and Westoby2006; Olden and Kennard Reference Olden and Kennard2010; Reich and Oleksyn Reference Reich and Oleksyn2004). Changes in environmental conditions can select for certain functional traits and influence species abundance in communities (Ackerly and Cornwell Reference Ackerly and Cornwell2007; Allison Reference Allison2012; Case Reference Case1981; Funk et al. Reference Funk, Cleland, Suding and Zavaleta2008; Gross et al. Reference Gross, Kunstler, Liancourt, de Bello, Suding and Lavorel2009; Lamouroux et al. Reference Lamouroux, Poff and Angermeier2002; McGill et al. Reference McGill, Enquist, Weiher and Westoby2006; Webb et al. Reference Webb, Hoeting, Ames, Pyne and LeRoy Poff2010). Developing a predictive framework for how forest management activities influence ecological communities depends on understanding how organisms with particular traits respond to changing resource conditions (Keddy Reference Keddy1992; Weiher and Keddy Reference Weiher and Keddy2001).

Box 1 Management Implications

Developing a predictive framework for how forest management activities influence ecological communities depends on understanding how organisms with particular traits respond to changing resource conditions. We provide evidence that riparian removal of the invasive shrub Lonicera maackii (Rupr.) Maxim. (Amur honeysuckle) is linked to the taxonomic and functional trait composition of aquatic macroinvertebrate communities. There are at least two important implications for management. First is the basic discovery that terrestrial invasion influences stream communities. Land management activities associated with invasive species control are often focused on addressing issues related to upland concerns, including creating space for vernal wildflowers or tree seedlings, while management of streams is often focused on issues such as pollution from urban outfalls or agricultural runoff. Our findings provide support for considering riparian management of invasive species as a technique aimed at influencing the aquatic biota. Second, the L. maackii removal in this study represented a relatively short distance (150 m) of a much longer stream and the area above the removal was heavily invaded. Many parks in the American Midwest exist as longitudinally elongated stretches along streams with upstream and downstream areas in private ownership. For instance, of the nature parks in the park district where this project took place, there are two larger parks (>60 ha; both with streams) and 11 others that are an average of 4.9 ha in size. Our results indicate that management activities that result in removal of L. maackii, even within small reserves in otherwise heavily invaded forests, can have strong influences on the aquatic biota within headwater streams.

The ecology of riparian zones is well understood to play an important role in mediating biodiversity and ecosystem processes in aquatic systems (Baxter et al. Reference Baxter, Fausch and Carl Saunders2005; Gregory et al. Reference Gregory, Swanson, Mckee and Cummins1991; Naiman and Decamps Reference Naiman and Decamps1997). Vegetated riparian zones function as nutrient sinks, prevent bank erosion, and support the transfer of ecosystem subsidies between terrestrial and aquatic habitats (Baxter et al. Reference Baxter, Fausch and Carl Saunders2005; Gregory et al. Reference Gregory, Swanson, Mckee and Cummins1991). Alterations in the riparian zone via natural disturbance events (e.g., fire) and anthropogenic activities (e.g., stream channelization) can influence terrestrial–aquatic connections with potential impacts on aquatic biota and how these communities assemble (Dwire and Kauffman Reference Dwire and Kauffman2003; Garssen et al. Reference Garssen, Baattrup-Pedersen, Voesenek, Verhoeven and Soons2015; Jacobs et al. Reference Jacobs, Bechtold, Biggs, Grimm, Lorentz, McClain, Naiman, Perakis, Pinay and Scholes2007; Walsh et al. Reference Walsh, Roy, Feminella, Cottingham, Groffman and Morgan2005). Headwater streams are more tightly linked with their riparian zones and receive more terrestrial organic matter inputs compared with larger rivers because of the size of the aquatic system in relation to the edge area; this results in aquatic communities within headwater streams being highly responsive to changes in the riparian zone (Richardson et al. Reference Richardson, Zhang and Marczak2010). These cross-system interactions are especially important in areas where native vegetation has been highly fragmented by agricultural, suburban, and urban development (Hladyz et al. Reference Hladyz, Abjornsson, Chauvet, Dobson, Elosegi, Ferreira, Fleituch, Gessner, Giller, Gulis, Hutton, Lacoursiere, Lamothe, Lecerf, Malmqvist, McKie, Nistorescu, Preda, Riipinen, Risnoveanu, Schindler, Tiegs, Vought and Woodward2011a), and these conditions are highly conducive to exotic species invasions (Johnson et al. Reference Johnson, Litvaitis, Lee and Frey2006; Yates et al. Reference Yates, Levia and Williams2004). Plant invasions along riparian zones often replace native vegetation and contribute large amounts of leaf and woody organic matter to the aquatic system (Hladyz et al. Reference Hladyz, Kajsa, Giller and Woodward2011b). Riparian invasive plant species have strong potential to shift the flow of resources from donor riparian zones to recipient streams and thus can have bottom-up effects on aquatic biota and shift food web structure within and at the interface of terrestrial and aquatic systems (Ehrenfeld Reference Ehrenfeld2010; Hladyz et al. Reference Hladyz, Kajsa, Giller and Woodward2011b; Keeton et al. Reference Keeton, Kraft and Warren2007; Polis and Strong Reference Polis and Strong1996). Documented shifts in trophic structure associated with plant invasions suggest that impacts may flow up through the food web, impacting fish, birds, and other wildlife (Hladyz et al. Reference Hladyz, Kajsa, Giller and Woodward2011b; Levin et al. Reference Levin, Neira and Grosholz2006).

Lonicera maackii (Rupr.) Maxim. (Amur honeysuckle) is considered an invasive shrub in forests throughout much of the contiguous United States and has densely invaded the riparian zones surrounding headwater stream systems in much of the American Midwest (Figures 1a and 1c; McNeish et al. Reference McNeish, Moore, Benbow and McEwan2015; USDA 1999). This invasive plant is known to suppress the survivorship and reproduction of some native plant species and to alter forest understory recruitment, possibly through resource competition and allelopathic activity (Collier et al. Reference Collier, Vankat and Hughes2002; Gorchov and Trisel Reference Gorchov and Trisel2003; McEwan et al. Reference McEwan, Arthur-Paratley, Rieske and Arthur2010). Lonicera maackii has been reported to also influence arthropod diversity, survivorship, and community dynamics (Buddle et al. Reference Buddle, Higgins and Rypstra2004; Christopher and Cameron Reference Christopher and Cameron2012; Cipollini et al. Reference Cipollini, Stevenson and Cipollini2008b; Conley et al. Reference Conley, Watling and Orrock2011; Loomis et al. Reference Loomis, Cameron and Uetz2014; McEwan et al. Reference McEwan, Rieske and Arthur2009; McNeish et al. Reference McNeish, Benbow and McEwan2012; Shewhart et al. Reference Shewhart, McEwan and Benbow2014). For example, Shewhart et al. (Reference Shewhart, McEwan and Benbow2014) demonstrated that survivorship of the aquatic Culex pipiens L. (Dipteran: Culicidae) mosquito larva, a disease vector for West Nile Virus, increased when exposed to L. maackii leaf and flower leachate. Lonicera maackii leaf litter is high in nitrogen, supports a unique microbial community, and leaf breakdown is up to 5 times faster than native leaves (Arthur et al. Reference Arthur, Bray, Kuchle and McEwan2012; McNeish et al. Reference McNeish, Moore, Benbow and McEwan2015; Poulette and Arthur Reference Poulette and Arthur2012; Trammell et al. Reference Trammell, Ralston, Scroggins and Carreiro2012). Lonicera maackii shrubs have been estimated to utilize ~10% of available water resources in wetland forests (Boyce et al. Reference Boyce, Durtsche and Fugal2012) and reduce throughfall volume available to the forest floor in second-growth forests (McEwan et al. Reference McEwan, Arthur and Alverson2012), which suggest this invasive plant influences water resources. Collectively, these studies identify L. maackii effects that span multiple ecological scales and suggest this species has similar impacts to those of other invasive plants (e.g., Ballard et al. Reference Ballard, Hough-Goldstein and Tallamy2013; Chittka and Schürkens Reference Chittka and Schürkens2001; McNeish and McEwan Reference McNeish and McEwan2016; Myers and Anderson Reference Myers and Anderson2003; Oliver Reference Oliver1996,), making L. maackii a good model species to study how riparian invasion influences terrestrial–aquatic linkages.

Figure 1 Lonicera maackii riparian invasion (a) compared with a noninvaded primary headwater stream (b). Black Oak riparian forest prior to L. maackii removal (c) and post removal (d). Photo credit: R. E. McNeish and R. W. McEwan.

Our previous work demonstrated that L. maackii had effects on headwater streams that may be connected to the in-stream availability of resources that drive the structure of aquatic communities (McNeish et al. Reference McNeish, Benbow and McEwan2012, Reference McNeish, Moore, Benbow and McEwan2015). For instance, in an aquatic leaf pack experiment we found that L. maackii leaf breakdown was about four times faster compared with native leaf packs and supported different macroinvertebrate taxonomic and functional feeding group abundances (McNeish et al. Reference McNeish, Benbow and McEwan2012). In another study, we reported significantly lower autumnal in-stream leaf litter, lower macroinvertebrate densities, and reduced light available to the aquatic system in L. maackii–dominated stream reaches compared with reaches where L. maackii had been removed (McNeish et al. Reference McNeish, Moore, Benbow and McEwan2015). These studies suggest that terrestrial invasion alters basal resources in these streams, potentially resulting in bottom-up effects on the macroinvertebrate community (McNeish and McEwan Reference McNeish and McEwan2016; McNeish et al. Reference McNeish, Moore, Benbow and McEwan2015). Past work lends strong support to the notion that riparian invasion alters aquatic habitat and food resources. However, little is known about how aquatic biota respond to removal of riparian invasive species and, to our knowledge, no previous work has addressed this response in terms of functional complexity within the aquatic biota. In this study, we focused on a headwater stream with an intense riparian invasion and our goal was to investigate how removal of L. maackii influenced benthic macroinvertebrate density, community composition, and functional diversity. We hypothesized that L. maackii removal would result in (H 1 ) increased macroinvertebrate density and taxonomic and functional diversity compared with L. maackii–invaded stream reaches. We further hypothesized that L. maackii removal would be accompanied by (H 2 ) a functional and taxonomic shift in the macroinvertebrate community and, particularly, that removal would result in a (H 3 ) divergence and increase in the trait distribution (increased functional diversity) relative to the invaded stream reach.

Materials and Methods

Experimental Design

Black Oak Park stream (BO) is an unnamed tributary within the Little Miami River watershed located in southwestern Ohio (84.12°W, 36.63°N). This is a third-order headwater stream with benthic substrata of sand, clay, and rocks and a streambed 1.5 to 5.0 m wide underlain by limestone geology (Schneider Reference Schneider1957). As part of an ecological restoration project, L. maackii was removed from a 160-m stream reach from August to September 2010 as described in McNeish et al. (Reference McNeish, Moore, Benbow and McEwan2015). All woody invasive plants were removed from a 160 by 5–m area directly along each stream bank to create a L. maackii removal reach and an upstream L. maackii (nonremoval) reach (the honeysuckle reach). The instream buffer between the start of the removal reach and the end of the honeysuckle reach (200-m reach) was an additional 10 m where L. maackii had been removed. All native plant species were left intact and all native species coarse organic matter (COM; e.g., leaves, snags) were left in place. AquaNeat® Aquatic Herbicide, an Ohio EPA-approved aquatic herbicide (EPA regulation number: 228-365; Nufarm Manufacturer; active ingredient Glyphosate N-glycine), was applied to cut stumps of invasive species within 48 h to prevent regrowth in future growing seasons. Maintenance removal took place twice after L. maackii removal to prevent regrowth in the removal zone. This included removal of new growth by hand either with hand saws or pulling seedlings from the ground. The experimental stream reach was located within the Centerville–Washington Park district and all aspects of the project were undertaken in cooperation with park district land managers.

Pretreatment measurements indicated there were no preexisting differences in abiotic or biotic conditions along the experimental stream reach. Both stream reaches had similar numbers of riffle habitats and benthic substrata (pebbles, gravel, clay). The pretreatment macroinvertebrate community (McNeish et al. Reference McNeish, Benbow and McEwan2012) was similar in composition to the macroinvertebrate community in the honeysuckle-invaded reach in this study. In addition, algal growth measured from another study was found to be similar along the entire reach, including areas which became the “removal” and “honeysuckle” treatments (McNeish et al. Reference McNeish, Moore, Benbow and McEwan2015). Stream temperature data collected from studies conducted concurrently with this study indicated there were no temperature differences between the honeysuckle (4.4 to 22.2 C) and removal (3.8 to 22.2 C) stream reaches.

Ambient Conditions

To assess variation in forest canopy conditions following honeysuckle removal, canopy cover and light availability were recorded monthly at random locations within each riffle. Canopy cover was measured with a spherical densiometer in the North, South, East, and West cardinal directions (Lemmon 1959). Light was measured at the surface of the water with a waterproof Milwaukee MW700 standard Portable Lux Meter concurrently with densiometer readings.

Several nutrient parameters were measured monthly from October 2012 to December 2013 in both honeysuckle-invaded and removal stream reaches. One-L water samples were collected at the upstream edge of each riffle (n=5 riffles per reach) along the width of the stream in an acid-washed amber Nalgene container. Samples were stored on ice in the field and then transferred to 4 C in the lab. Samples were processed and analyzed within 24 h for nutrient concentration via colorimetric methods. Total orthophosphate (PO4-3) was assessed using the malachite green method (D’Angelo et al. Reference D’Angelo, Crutchfield and Vandiviere2001). Five-mL samples were acidified with a 1.75% (w/v) ammonium heptamolybdate tetrahydrate solution in 6.3 N sulfuric acid (8.75g ammonium molybdate and 87.5-mL concentrated sulfuric acid 0.4 L−1) and shaken for 10 min with a benchtop shaker. A 0.035% (w/v) solution of Malachite Green carbinol hydrochloride in 0.53% (w/v) aqueous polyvinyl alcohol solution (0.175g Malachite Green and 1.75g polyvinyl alcohol 0.5 L−1) was added to the sample and then shaken for 20 min. The absorbance at 630 nm measured with a spectrophotometer was used to calculate orthophosphate concentrations (P). Nitrogen was represented as the forms of nitrite (NO2–N), nitrate (NO3–N), and ammonia (NH3–N) and analyzed based on available laboratory equipment with the DREL 2800 water quality kit from Hach Company. Nitrite was determined via the diazotization method and read at 507 nm. The cadmium reduction method was used to identify nitrate concentrations colorimetrically at 500 nm after correction for nitrite interference with the addition of bromine water and phenol solution per Hach Company Method 8171. Ammonia was quantified using the Nessler method and absorbance was measured at 524 nm. Total suspended solids (TSS) were measured photometrically at 810 nm after the water sample was homogenized for 2 min with a blender. All colorimetric and photometric measurements were recorded with a DR 2800 Spectrophotometer from Hach Company.

Benthic Macroinvertebrate Sampling

The benthic macroinvertebrate community was sampled monthly from September 2010 to December 2013 via a Surber sampler (n=5 riffles per reach per month for 28 months; study total n=256) when the stream was flowing and not frozen. The Surber sampler was haphazardly placed in a riffle, and all benthic substrata within a 30 by 30–cm area were scrubbed with a brush to dislodge aquatic macroinvertebrates and COM. All dislodged materials were captured in the sampler net (mesh 280 µm) and preserved in 70% ethanol on site and then transported to a laboratory where macroinvertebrates were identified to genus when possible using Merritt et al. (Reference Merritt, Cummins and Berg2008), Peckarsky et al. (Reference Peckarsky, Fraissinet, Penton and Conklin1990), and Thorp and Covich (Reference Thorp and Covich2001). Otherwise, taxa were identified to family or order level as presented in Table S1.

Statistical Analyses

Macroinvertebrate total density, taxon richness, and taxonomic diversity were evaluated as response variables to riparian honeysuckle removal. Total density represented the number of macroinvertebrate individuals per m2, taxon richness was the sum of the number of taxa, and diversity was calculated using Hill’s numbers (effective taxon numbers) as presented in Jost (Reference Jost2006). Macroinvertebrate density, richness, and diversity failed the Shapiro–Wilk normality test. Thus, these metrics were analyzed with the Wilcoxon matched-pairs test to test for differences between the honeysuckle removal and nonremoval reaches over the sampling period (Sokal and Rohlf Reference Sokal and Rohlf1981; Zar Reference Zar1999). Macroinvertebrate community taxonomic structure was visualized with nonmetric multidimensional scaling (NMDS). A total of three NMDS tests were conducted using a sample-by-taxon abundance matrix with metaMDS() (max try of 100 iterations, Bray-Curtis similarity distance) using the ‘vegan’ package in R (McCune and Grace Reference McCune and Grace2002; Oksanen et al. Reference Oksanen, Blanchet, Kindt, Minchin, Hara, Simpson, Solymos, Stevens and Wagner2015). The second and third NMDS ordinations were conducted from the previous best NDMS result. Procrustes and Protest analyses were conducted between the second and third NMDS solutions to ensure the final NMDS result was a stable solution. The Procrustes test can be used to resize and rotate two ordinations in order to match them for a best-fit solution between the ordinations (Jackson Reference Jackson1995). The difference between each ordination datum and its corresponding partner is then calculated and summed, resulting in the residual sum squared (m 2 ) that indicates the concordance or similarity between the two ordinations (Jackson Reference Jackson1995). A small m 2 indicates the two ordination solutions are very similar. All m 2 values were<0.0001 (protest() using ‘vegan’), indicating the final NMDS result was a stable solution relative to previous NMDS solutions. The effect of stream reach (honeysuckle removal and nonremoval) and sampling season (spring, summer, autumn, and winter) and the interaction of these two factors on community dynamics were analyzed using ADONIS (Adonis()) in the ‘vegan’ package.

We took a trait-based approach to evaluate how macroinvertebrate communities responded functionally to L. maackii removal. Seven ecological, life history, and morphological functional traits (resulting in 26 trait states; Table 1) were linked with each aquatic macroinvertebrate taxon (Table S1). Traits were identified from those described in Poff et al. (Reference Poff, Olden, Vieira, Finn, Simmons and Kondratieff2006) that were considered most likely to be influenced by alterations in terrestrial–aquatic connections. For taxa that were not identified to genus, the most prevalent trait of the broader (e.g., family) taxonomic assignment was chosen or a representative genus trait selected based on most-complete trait information available (Beche et al. Reference Beche, McElravy and Resh2006). These traits (Table 1) were used to calculate macroinvertebrate functional diversity (FD) indices. Eleven taxa (out of 50) were removed from FD analyses due to insufficient information in the literature to confidently assign a trait state to each trait for these taxa.

Table 1 Description of macroinvertebrate functional traits (7) and their trait states (26) used for functional diversity calculations and nonmetric multidimensional scaling community dynamics.

Macroinvertebrate FD was calculated via functional richness (FRic), functional evenness (FEve), and functional dispersion (FDis) for each sample. Functional richness represents the volume of trait space utilized in n-dimensional space, which is the degree of functional convergence or divergence of a community (Mason et al. Reference Mason, Mouillot, Lee and Wilson2005; Petchey and Gaston Reference Petchey and Gaston2006; Villéger et al. Reference Villéger, Mason and Mouillot2008). Larger FRic values for one treatment indicate more trait space is utilized or filled compared with a treatment with small FRic values (functional divergence; Boersma et al. Reference Boersma, Dee, Miller, Bogan, Lytle and Gitelman2015). Functional evenness represents how even the distribution of traits are in trait space (Mason et al. Reference Mason, Mouillot, Lee and Wilson2005; Villéger et al. Reference Villéger, Mason and Mouillot2008). Functional dispersion detects trait abundance shifts via differences in the relative abundance of traits in each community (Boersma et al. Reference Boersma, Dee, Miller, Bogan, Lytle and Gitelman2015; Laliberté and Legendre Reference Laliberté and Legendre2010). Functional diversity metrics were calculated with a sample-by-trait value presence and absence matrix and a sample-by-species abundance matrix using dbFD() from the ‘FD’ package in R (Laliberté et al. Reference Laliberté, Legendre and Shipley2015). The cailliez method was used to calculate distance matrices since matrix distance could not be represented in Euclidean space (Laliberté et al. Reference Laliberté, Legendre and Shipley2015). Functional diversity metrics were checked for normality via the Shapiro–Wilk test and then analyzed with the Wilcoxon matched-pairs test to analyze temporal changes in FD metrics between stream reaches. Overall functional trait community composition was visualized with NMDS using a sample-by-trait value presence and absence matrix (max try of 100 iterations with the Jaccard similarity index) in R using ‘vegan’. Functional community trait dynamics were visualized and statistically analyzed as previously explained for taxonomic macroinvertebrate community dynamics. Functional indicator species (functionally relevant taxa compared with other taxa in the same community) were identified as presented by Ricotta et al. (Reference Ricotta, Carboni and Acosta2015). The functional association was identified for each taxon by measuring the functional distance between the centroids of all samples for each grouping factor and the indicator species (Ricotta et al. Reference Ricotta, Carboni and Acosta2015). Overall FRic at the community scale was calculated for removal and honeysuckle stream reaches and across seasons by calculating the volume of each community’s convex hull (as identified from NMDS results) using convhulln() from the ‘geometry’ package in R (Barber et al. Reference Barber, Habel, Grasman, Gramacy, Stahel and Sterratt2015).

Macroinvertebrate functional feeding groups (FFG; trophic habitat trait) within and between stream reaches were calculated as the relative abundance of each FFG per sample. FFG trait states were assigned as presented in Table S1. All FFG data were non-normal; therefore, differences in FFG relative abundances within stream reaches were determined with Friedman’s test and between stream reaches (i.e., FFG between stream reaches) were analyzed using Wilcoxon matched-pairs test (Sokal and Rohlf Reference Sokal and Rohlf1981; Zar Reference Zar1999). FFG pairwise comparisons within each reach were conducted using the post.hoc.friedman.nemenyi.test() with the ‘PMCMR’ package in R (Pohlert Reference Pohlert2015).

Differences in ambient conditions were identified between stream reaches for canopy cover, light availability, and nutrient dynamics. All conditions were non-normal and analyzed with the Wilcoxon matched-pairs test within and between stream reaches (Sokal and Rohlf Reference Sokal and Rohlf1981; Zar Reference Zar1999).

Results and Discussion

Ambient Conditions

Abiotic conditions were strongly influenced by removal of the L. maackii riparian invasion. Above-stream canopy cover was significantly greater in the stream reach dominated by L. maackii (honeysuckle reach) compared with the experimental reach where L. maackii had been removed (removal reach), resulting in a substantial increase in light availability (Figure 2; Figure S1; Table S2). Canopy cover and light availability followed typical seasonal patterns, with canopy cover peaking during growing seasons and light availability peaking during winter months (Figure 2). All physiochemical parameters were statistically indistinguishable between stream reaches and therefore were not further discussed in this paper (Table S2; Figure S2).

Figure 2 Mean above-stream canopy cover in honeysuckle and removal stream reaches. Letters on the x-axis represent sampling months for years indicated.

Macroinvertebrate Density and Richness

Macroinvertebrate density and abundance in the honeysuckle reach differed from the removal reach. Over our 28-mo sampling period that was represented by approximately 26,000 macroinvertebrates, the total abundance was two times higher in the removal reach than in the honeysuckle reach (Table S3). The removal reach supported significantly higher macroinvertebrate density and taxonomic richness compared with the honeysuckle reach for most sampling dates (Figure 3; Table S2). Chironomidae (Diptera) and Naididae (Oligochaeta) combined comprised over 80% of the individuals present in both honeysuckle and removal reaches (Table S3). Removal of L. maackii resulted in increased Diptera and Trichoptera (true flies and stoneflies) abundance and a 23% reduction in snail (Pleurocera and Physella) abundance compared with the honeysuckle reach. Macroinvertebrate densities peaked during the spring months, with densities generally greater in the removal reach one year after L. maackii removal (Figure 3). A total of 50 taxa were identified in the entire study system, 33 of which were observed in both stream reaches, 7 were unique to the honeysuckle reach, and 10 were unique to the removal reach (Table S3). Taxonomic richness generally increased earlier in the honeysuckle reach but peaks lasted longer in the removal reach (Figure S3a).

Figure 3 Macroinvertebrate density present within honeysuckle and removal stream reaches. Letters on the x-axis represent sampling months for years indicated.

Taxonomic and Functional Diversity

Functional and taxonomic characteristics of the macroinvertebrate communities significantly varied between experimental reaches and with time (Table S4). The macroinvertebrate communities were taxonomically distinct between reaches during the spring as indicated by separation of community centroids in multidimensional space (Figure 4a; P=0.019; Table S4). Although separation was visually evident in summer, the communities were not statistically different (P>0.05). In the autumn, there was again a significant effect (P<0.01; Table S4); however, in the winter, the centroids largely overlapped and the communities were not statistically distinguishable (Figure 4d). Using a functional trait matrix in the ordination instead of taxonomic values yielded contrasting results (Figure 5). The community functional traits were statistically indistinguishable between reaches during spring, autumn, and winter but differences were detected during summer (Figure 5; P=0.0471). Overall macroinvertebrate community functional richness (as calculated by volume of the convex hull) occupied 86% of trait space in the honeysuckle reach communities whereas the functional richness of removal communities occupied 49% regardless of season (Table 2). Communities in the removal reach during spring and summer seasons had a functional richness that was approximately 1.7 times greater than the honeysuckle reach. Community functional richness in the honeysuckle reach was approximately 1.4 and 2.8 times greater than the removal reach during autumn and winter seasons, respectively (Table 2). Removal of the L. maackii riparian forest did not affect the taxonomic diversity, trait space occupied (FRic), trait evenness distribution (FEve), or relative abundance of trait combinations over time (trait shift: FDis; Figures S3b and S4).

Figure 4 Taxonomic community relationships between stream reaches within each sampling season. Panels represent 4-D nonmetric multidimensional scaling (NMDS) results on a 2-D axis with standard error 95% confidence ellipses for stream reach and season.

Figure 5 Functional community relationships between stream reaches within each sampling season. Panels represent 4-D nonmetric multidimensional scaling (NMDS) results on a 2-D axis with standard error 95% confidence ellipses for stream reach and season.

Table 2 Community functional richness (trait space utilized) for both stream reaches and between stream reaches within each sampling season. Percent functional richness represents the percent of functional space utilized out of the total functional space (convex hull) occupied by the community. Functional richness is represented by the volume of the convex hull calculated by nonmetric multidimensional scaling results.

A variety of functionally relevant taxa were associated with specific stream reaches and seasons (Tables 3 and 4; Table S5). Diptera taxa were the most common functionally relevant group in the removal reach, whereas Coleoptera (beetles) and Hirudinea (leeches; i.e., Arhynchobdellida, Rhynchobdellida) were some of the most functionally relevant taxa in the honeysuckle reach (Table 3). Interestingly, many of the indicator taxa in the honeysuckle reach communities were classified as medium to large body sized, whereas taxa indicative of the removal reach were mainly small bodied (Table S1). During spring and winter seasons, most functionally relevant taxa in the removal reach communities were also present in the honeysuckle reach (Table 4). The removal reach had more unique functionally relevant taxa (20 and 85%) compared with the honeysuckle reach (5% and 75%) during summer and autumn seasons, respectively (Table 4). Overall, the L. maackii–invaded stream reach supported a macroinvertebrate community that was both taxonomically and functionally distinct from the removal reach and varied over seasons. Macroinvertebrate FFG relative abundance was significantly affected by the removal of the L. maackii riparian forest (honeysuckle reach: X 2 =25.804, df=4, P<0.0001; removal reach: X 2 =36.927, df=4, P<0.0001). Herbivores were more abundant than predators within the honeysuckle reach (P<0.05; Figure 6a). Within the removal reach, predator and herbivore relative abundance was less than all other FFG (all P<0.05; Figure 6b). Herbivore relative abundance was significantly greater in the honeysuckle reach compared with the removal reach (Table S2; Figure S5b). Collector–gatherer relative abundance was the dominant FFG within both stream reaches (all P<0.05; Figure 6). All other FFG relative abundances were similar between reaches (Figure S5).

Figure 6 Mean macroinvertebrate functional feeding group (FFG) relative abundance within honeysuckle and removal stream reaches. Letters on the x-axis represent sampling months for years indicated.

Table 3 Functionally relevant indicator macroinvertebrate taxa for honeysuckle and removal stream reaches.

Table 4 Functionally relevant indicator macroinvertebrate taxa for each stream reach within each season. An asterisk indicates taxa that were unique to that stream reach within a season.

Aquatic communities are linked to landscape characteristics and ecosystem subsidies including nutrient runoff, leaf litter, and woody debris (Baxter et al. Reference Baxter, Fausch and Carl Saunders2005; Townsend et al. Reference Townsend, Sylvain, Norris, Peacock and Arbuckle2003). Riparian invasive plants can have substantial impacts on terrestrial–aquatic linkages via alteration of these subsidies (Greene Reference Greene2014; McNeish et al. Reference McNeish, Moore, Benbow and McEwan2015). For example, Russian-olive (Elaeagnus angustifolia L.) is a riparian invasive tree in the western United States known to increase in-stream terrestrial organic matter subsidies and organic nitrogen, altering stream ecosystem efficiency and biogeochemistry (Mineau et al. Reference Mineau, Baxter and Marcarelli2011, Reference Mineau, Baxter, Marcarelli and Minshall2012). Tree-of-heaven [Ailanthus altissima (Mill.) Swingle], an invasive tree throughout much of North America and Europe, deposits leaf litter subsidies into aquatic systems that break down faster than native leaf litter species (Swan et al. Reference Swan, Healey and Richardson2008). In an aquatic leaf litter colonization experiment, the invasive tree Norway maple (Acer platanoides L.) supported 70% greater Nemouridae (Spring stoneflies; detritivores/shredders) abundance compared with native black cottonwood (Populus trichocarpa T. & G.; Reinhart and VandeVoort Reference Reinhart and VandeVoort2006). These studies suggest that replacement of native trees by invasive plant species can alter terrestrial subsidies available in aquatic systems that serve as critical habitat and food resources for aquatic biota. The impact of riparian invasion on aquatic biota could be particularly important in headwater streams in deciduous forests where subsidies from the terrestrial environment are a vital resource for aquatic communities (Vannote et al. Reference Vannote, Minshall, Cummins, Sedell and Cushing1980). Lonicera maackii is a highly successful invasive species in the American Midwest and is an aggressive colonizer of riparian areas. Our previous work demonstrated L. maackii riparian invasion has the potential to substantially influence headwater streams (McNeish et al. Reference McNeish, Benbow and McEwan2012, Reference McNeish, Moore, Benbow and McEwan2015). Due to the ubiquity of L. maackii invasion in regional forests, removal of this species has become a key priority for many land management agencies and is seen as a form of ecological restoration; however, little is known about the implications of this activity for benthic functional communities.

The removal of L. maackii in the riparian forest had substantial effects on the structure and functional traits of the macroinvertebrate community. Removal of L. maackii resulted in marked increase in macroinvertebrate density (H 1 ) and a macroinvertebrate community composition that was both taxonomically and functionally distinct compared with the honeysuckle reach (H 2 ). Prior research in the site using experimental leaf packs of native species suggests the aquatic biota were similar along the reach prior to restoration activities (McNeish et al. Reference McNeish, Benbow and McEwan2012), lending support to the idea that the changes we found in this study (H 1 and H 2 ) were directly linked to L. maackii removal. Our data also indicated that macroinvertebrate communities were functionally indistinguishable between stream reaches during spring and autumn seasons even though these communities were taxonomically different, indicating that functional traits and not taxa associations of these communities were maintained across experimental reaches during these seasons. Communities were taxonomically similar during the summer but functionally different between reaches, which may be attributed to the loss of certain functionally relevant Diptera and Trichoptera taxa in the L. maackii reach compared with the removal reach during summer. An interesting result was the relative abundance of herbivores (grazers) in the honeysuckle reach was greater compared with the removal reach. In a previous study, we demonstrated removal of L. maackii did not impact algal growth as expected compared with the honeysuckle reach (McNeish et al. Reference McNeish, Moore, Benbow and McEwan2015). These collective results suggest periphyton communities may have shifted to dominance of heterotrophic microbes in the low light environment created by L. maackii presence in the riparian zone, which could have increased periphyton biomass and supported increased herbivore relative abundance in the honeysuckle reach. Lonicera maackii is known to support aquatic mosquito larval survivorship when exposed to L. maackii leaf and flower extracts (Shewhart et al. Reference Shewhart, McEwan and Benbow2014) but resists herbivory of terrestrial insects due to the production of secondary metabolites (e.g., Cipollini et al. Reference Cipollini, Stevenson, Enright, Eyles and Bonello2008b; McEwan et al. Reference McEwan, Rieske and Arthur2009), suggesting the potential for aquatic invertebrates to be chemically impacted by L. maackii plant material and impact aquatic community functional relationships; however, this avenue of research has yet to be explored. We also saw no differences in nutrient availability between stream reaches, suggesting in-stream nutrient resources may be similar between stream reaches. Overall, these data suggest that functional composition is influenced by the removal of L. maackii riparian invasion (H 3 ); however, the direction of this influence is highly dependent upon season.

Strong seasonal effects on the taxonomic and functional composition of the macroinvertebrate communities should be considered in other studies of riparian plant invasive species effects on aquatic ecosystems. Winter and spring seasons were characterized primarily by stenothermic (cold water preference) organisms while summer and autumn seasons were characterized by eurythermic (warm water preference) organisms, which is likely attributable to seasonal changes in stream water temperature (Allan and Castillo Reference Allan and Castillo2007; Cummins Reference Cummins1974). In our study, collector–gatherers were predominately present during winter and spring seasons while herbivores and detritivores characterized summer and autumn seasons, potentially reflecting the seasonal availability of food resources (Cummins and Klug Reference Cummins and Klug1979; Richardson Reference Richardson1991; Thompson and Townsend Reference Thompson and Townsend1999; Wallace and Webster Reference Wallace and Webster1996). Additionally, these seasonal effects suggest that there could be riparian plant influence on life history and secondary production of aquatic macroinvertebrates, an area that has not been studied within invasive species ecology and is important for restoration practices. The inherent seasonality of streams (i.e., dry season, deposition of autumnal allochthonous materials) has important repercussions on aquatic organism life history strategies and the availability of resources and serves as an environmental filter (Beche et al. Reference Beche, McElravy and Resh2006; Hawkins and Sedell Reference Hawkins and Sedell1981; Lytle and Poff Reference Lytle and Poff2004; Murphy and Giller Reference Murphy and Giller2000; Poff et al. Reference Poff, Olden, Vieira, Finn, Simmons and Kondratieff2006; Verberk et al. Reference Verberk, Siepel and Esselink2008). Aquatic macroinvertebrate functional and taxonomic diversity has been directly related to stream hydroperiod (Schriever et al. Reference Schriever, Bogan, Boersma, Cañedo-Argüelles, Jaeger, Olden and Lytle2015), which influences the evolutionary strategies of macroinvertebrates (Lytle and Poff Reference Lytle and Poff2004). Riparian removal of L. maackii did result in increased solar energy available to the stream; however, in a previous study we demonstrated there was no effect on algal growth (McNeish et al. Reference McNeish, Moore, Benbow and McEwan2015) and stream temperature was still within 1C of the honeysuckle reach (data not shown), suggesting macroinvertebrate thermal guilds (i.e., stenotherms and eurytherms) were influenced by seasonal patterns. Riparian removal of near-monocultures of L. maackii was also shown to substantially increase the overall availability of in-stream leaf litter (McNeish et al. Reference McNeish, Moore, Benbow and McEwan2015), which may explain why macroinvertebrate density was greater in the removal reach; however, more work linking riparian presence of L. maackii and stream abiotic conditions and resources is needed to address this hypothesis.

To our knowledge, this study is the first to show that restoration that involves the removal of a riparian plant invader is linked to the entire taxonomic and functional trait community composition (i.e., not only FFG composition) of aquatic macroinvertebrate communities and identifies seasonal patterns that are important for detecting riparian forest community effects on stream communities. In summary, our data suggest riparian invasive species affect aquatic macroinvertebrate taxonomic community composition, functional trait diversity, and abundance, likely through changes in allochthonous organic matter quality and timing and changes in light availability. These results further support the concept that riparian invasive plants can have a bottom-up effect on aquatic ecosystems, impacting aquatic food web dynamics and ecosystem function and processes (McNeish and McEwan Reference McNeish and McEwan2016; McNeish et al. Reference McNeish, Moore, Benbow and McEwan2015). We hypothesize that macroinvertebrate abundance and functional composition is linked to increased solar energy and temporal availability of leaf litter subsidies in headwater streams when riparian L. maackii is removed, resulting in a resource and habitat filter effect. Finally, this study highlights that riparian restoration efforts to remove plant invaders can have major impacts on small stream reaches, resulting in increased aquatic macroinvertebrate abundance and shifts in community dynamics linked to resource availability. Future work is necessary to understand how riparian restoration practices not only influence resources that support aquatic biota but also the functional aspect of these communities.

Acknowledgements

We would like to thank the Centerville-Washington Park District, OH for use of the stream field site, Julia Chapman and Tiffany Schriever for assistance with R programming, Jim Crutchfield for assistance in nutrient analyses, and Casey Hanley for use of laboratory equipment and space. Special thanks to Eryn Moore, Courtney Dvorsky, Ryan Reihart, Dani Theimann, Patrick Vrablik, Michael Ruddy, and all the undergraduate students at the University of Dayton who contributed time and effort to field and laboratory work. This work was supported by the National Science Foundation (NSF: DEB 1352995) to RWM and MEB and in part by the University of Dayton Office for Graduate Academic Affairs through the Graduate Student Summer Fellowship Program. Any opinions, findings, and conclusions or recommendations expressed are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Supplementary Material

To view supplementary material for this article, please visit https://doi.org/10.1017/inp.2017.22

Footnotes

a

Current address of first author: Post-doctoral Fellow, Department of Biology, Loyola University Chicago, Chicago, IL 60660

Associate Editor for this paper: Rob J. Richardson, North Carolina State University

References

Literature Cited

Ackerly, DD, Cornwell, WK (2007) A trait-based approach to community assembly: partitioning of species trait values into within- and among-community components. Ecol Lett 10:135145 CrossRefGoogle ScholarPubMed
Allan, JD, Castillo, MM (2007) Stream ecology: Structure and function of running waters. 2nd edn. Dordrecht, The Netherlands: Springer Google Scholar
Allison, SD (2012) A trait-based approach for modelling microbial litter decomposition. Ecol Lett 15:10581070 Google Scholar
Arthur, MA, Bray, SR, Kuchle, CR, McEwan, RW (2012) The influence of the invasive shrub, Lonicera maackii, on leaf decomposition and microbial community dynamics. Plant Ecol 213:15711582 Google Scholar
Ballard, M, Hough-Goldstein, J, Tallamy, D (2013) Arthropod Communities on Native and Nonnative Early Successional Plants. Environ Entomol 42:851859 Google Scholar
Barber, C, Habel, K, Grasman, R, Gramacy, R, Stahel, A, Sterratt, DC (2015) geometry: Mesh generation and surface tesselation. R package version 03-6. https://cran.r-project.org/web/packages/geometry/Google Scholar
Baxter, CV, Fausch, KD, Carl Saunders, W (2005) Tangled webs: reciprocal flows of invertebrate prey link streams and riparian zones. Freshw Biol 50:201220 Google Scholar
Beche, LA, McElravy, EP, Resh, VH (2006) Long-term seasonal variation in the biological traits of benthic-macroinvertebrates in two Mediterranean-climate streams in California, U.S.A. Freshw Biol 51:5675 Google Scholar
Boersma, K, Dee, L, Miller, S, Bogan, M, Lytle, D, Gitelman, A (2015) Linking multidimensional functional diversity to quantitative methods: A graphical hypothesis-evaluation framework. Ecology 97:583593 Google Scholar
Boyce, RL, Durtsche, RD, Fugal, SL (2012) Impact of the invasive shrub Lonicera maackii on stand transpiration and ecosystem hydrology in a wetland forest. Biol Invasions 14:671680 CrossRefGoogle Scholar
Buddle, CM, Higgins, S, Rypstra, L (2004) Ground-dwelling spider assemblages inhabiting riparian forests and hedgerows in an agricultural landscape. Am Midl Nat 151:1526 CrossRefGoogle Scholar
Case, TJ (1981) Niche packing and coevolution in competition communities. P Natl Acad Sci USA 78:50215025 Google Scholar
Chittka, L, Schürkens, S (2001) Successful invasion of a floral market. Nature 411:653 Google Scholar
Christopher, CC, Cameron, GN (2012) Effects of invasive Amur honeysuckle (Lonicera maackii) and white-tailed deer (Odocoileus virginianus) on litter-dwelling arthropod communities. Am Midl Nat 167:256272 CrossRefGoogle Scholar
Cipollini, D, Stevenson, R, Cipollini, K (2008a) Contrasting effects of allelochemicals from two invasive plants on the performance of a nonmycorrhizal plant. Int J Plant Sci 169:371375 Google Scholar
Cipollini, D, Stevenson, R, Enright, S, Eyles, A, Bonello, P (2008b) Phenolic metabolites in leaves of the invasive shrub, Lonicera maackii, and their potential phytotoxic and anti-herbivore effects. J Chem Ecol 34:144152 Google Scholar
Collier, MH, Vankat, JL, Hughes, MR (2002) Diminished plant richness and abundance below Lonicera maackii, an invasive shrub. Am Midl Nat 147:6071 Google Scholar
Conley, AK, Watling, JI, Orrock, JL (2011) Invasive plant alters ability to predict disease vector distribution. Ecol Appl 21:329334 Google Scholar
Cummins, KW (1974) Structure and function of stream ecosystems. Bioscience 24:631641 CrossRefGoogle Scholar
Cummins, KW, Klug, MJ (1979) Feeding ecology of stream invertebrates. Annu Rev Ecol Syst 10:147172 CrossRefGoogle Scholar
D’Angelo, E, Crutchfield, J, Vandiviere, M (2001) Rapid, sensitive, microscale determination of phosphate in water and soil. J Environ Qual 30:22062209 Google Scholar
Dwire, KA, Kauffman, JB (2003) Fire and riparian ecosystems in landscapes of the western USA. For Ecol Manage 178:6174 Google Scholar
Ehrenfeld, JG (2010) Ecosystem consequences of biological invasions. Annu Rev Ecol Syst 41:5980 CrossRefGoogle Scholar
Funk, JL, Cleland, EE, Suding, KN, Zavaleta, ES (2008) Restoration through reassembly: plant traits and invasion resistance. Trends Ecol Evol 23:695703 Google Scholar
Garssen, AG, Baattrup-Pedersen, A, Voesenek, LACJ, Verhoeven, JTA, Soons, MB (2015) Riparian plant community responses to increased flooding: a meta-analysis. Glob Chang Biol 21:28812890 Google Scholar
Gorchov, DL, Trisel, DE (2003) Competitive effects of the invasive shrub, Lonicera maackii (Rupr.) Herder (Caprifoliaceae), on the growth and survival of native tree seedlings. Plant Ecol 166:1324 Google Scholar
Greene, SL (2014) A roadmap for riparian invasion research. River Res Appl 30:663669 Google Scholar
Gregory, SV, Swanson, FJ, Mckee, WA, Cummins, KW (1991) An ecosystem perspective of riparian zones. Bioscience 41:540551 CrossRefGoogle Scholar
Gross, N, Kunstler, G, Liancourt, P, de Bello, F, Suding, KN, Lavorel, S (2009) Linking individual response to biotic interactions with community structure: a trait-based framework. Funct Ecol 23:11671178 Google Scholar
Hawkins, C, Sedell, J (1981) Longitudinal and seasonal changes in functional organization of macroinvertebrate communities in four Oregon streams. Ecology 62:387397 CrossRefGoogle Scholar
Hladyz, S, Abjornsson, K, Chauvet, E, Dobson, M, Elosegi, A, Ferreira, V, Fleituch, T, Gessner, MO, Giller, PS, Gulis, V, Hutton, SA, Lacoursiere, JO, Lamothe, S, Lecerf, A, Malmqvist, B, McKie, BG, Nistorescu, M, Preda, E, Riipinen, MP, Risnoveanu, G, Schindler, M, Tiegs, SD, Vought, LBM, Woodward, G (2011a) Stream ecosystem functioning in an agricultural landscape: the importance of terrestrial-aquatic linkages. Adv Ecol Res 44:211276 Google Scholar
Hladyz, S, Kajsa, A, Giller, PS, Woodward, G (2011b) Impacts of an aggressive riparian invader on community structure and ecosystem functioning in stream food webs. J Appl Ecol 48:443452 Google Scholar
Jackson, DA (1995) A PROcrustean Randomization TEST of community environment concordance. Ecoscience 2:297303 Google Scholar
Jacobs, SM, Bechtold, JS, Biggs, HC, Grimm, NB, Lorentz, S, McClain, ME, Naiman, RJ, Perakis, SS, Pinay, G, Scholes, MC (2007) Nutrient vectors and riparian processing: A review with special reference to African semiarid savanna ecosystems. Ecosystems 10:12311249 Google Scholar
Johnson, VS, Litvaitis, JA, Lee, TD, Frey, SD (2006) The role of spatial and temporal scale in colonization and spread of invasive shrubs in early successional habitats. For Ecol Manage 228:124134 CrossRefGoogle Scholar
Jost, L (2006) Entropy and diversity. Oikos 113:363375 Google Scholar
Keddy, PA (1992) Assembly and response rules: two goals for predictive community ecology. J Veg Sci 3:157164 Google Scholar
Keeton, WS, Kraft, CE, Warren, DR (2007) Mature and old-growth riparian forests: structure, dynamics, and effects on Adirondack stream habitats. Ecol Appl 17:852868 CrossRefGoogle ScholarPubMed
Laliberté, E, Legendre, P (2010) A distance-based framework for measuring functional diversity from multiple traits. Ecology 91:299305 Google Scholar
Laliberté, E, Legendre, P, Shipley, B (2015) FD: measuring functional diversity (FD) from multiple traits, and other tools for functional ecology. R package version 1.0-12. https://cran.r-project.org/web/packages/FD/Google Scholar
Lamouroux, N, Poff, NL, Angermeier, PL (2002) Intercontinental convergence of stream fish community traits along geomorphic and hydraulic gradients. Ecology 83:17921807 CrossRefGoogle Scholar
Lemmon, PE (1956) A spherical densiometer for estimating forest overstory density. Forest Sci 2:314320 Google Scholar
Levin, LA, Neira, C, Grosholz, ED (2006) Invasive cordgrass modifies wetland trophic function. Ecology 87:419432 CrossRefGoogle ScholarPubMed
Loomis, JD, Cameron, GN, Uetz, GW (2014) Impact of the invasive shrub Lonicera maackii on shrub-dwelling Araneae in a deciduous forest in eastern North America. Am Midl Nat 171:204218 Google Scholar
Lytle, DA, Poff, NL (2004) Adaptation to natural flow regimes. Trends Ecol Evol 19:94100 Google Scholar
Mason, NWH, Mouillot, D, Lee, WG, Wilson, JB (2005) Functional richness, functional evenness and functional divergence: the primary components of functional diversity. Oikos 111:112118 Google Scholar
McCune, B, Grace, JB (2002). Analysis of Ecological Communities. Gleneden Beach, OR: MjM Software Design. Pp 102149 Google Scholar
McEwan, RW, Arthur, MA, Alverson, SE (2012) Throughfall chemistry and soil nutrient effects of the invasive shrub Lonicera maackii in deciduous forests. Am Midl Nat 168:4355 CrossRefGoogle Scholar
McEwan, RW, Arthur-Paratley, LG, Rieske, LK, Arthur, MA (2010) A multi-assay comparison of seed germination inhibition by Lonicera maackii and co-occurring native shrubs. Flora 205:475483 Google Scholar
McEwan, RW, Rieske, LK, Arthur, MA (2009) Potential interactions between invasive woody shrubs and the gypsy moth (Lymantria dispar), an invasive insect herbivore. Biol Invasions 11:10531058 Google Scholar
McGill, BJ, Enquist, BJ, Weiher, E, Westoby, M (2006) Rebuilding community ecology from functional traits. Trends Ecol Evol 21:178185 CrossRefGoogle ScholarPubMed
McNeish, RE, Benbow, ME, McEwan, RW (2012) Riparian forest invasion by a terrestrial shrub (Lonicera maackii) impacts aquatic biota and organic matter processing in headwater streams. Biol Invasions 14:18811893 Google Scholar
McNeish, RE, McEwan, RW (2016) A review on the invasion ecology of Amur honeysuckle (Lonicera maackii, Caprifoliaceae) a case study of ecological impacts at multiple scales. J Torrey Botan Soc 143:367385 Google Scholar
McNeish, RE, Moore, EM, Benbow, ME, McEwan, RW (2015) Removal of the invasive shrub, Lonicera maackii, from riparian forests influences headwater stream biota and ecosystem function. River Res Appl 31:11311139 Google Scholar
Merritt, RW, Cummins, KW, Berg, MB, eds (2008) An Introduction to the Aquatic Insects of North America. 4th edn. Dubuque, IA: Kendall Hunt. 1158 pGoogle Scholar
Mineau, MM, Baxter, CV, Marcarelli, AM (2011) A non-native riparian Tree (Elaeagnus angustifolia) changes nutrient dynamics in streams. Ecosystems 14:353365 Google Scholar
Mineau, MM, Baxter, CV, Marcarelli, AM, Minshall, GW (2012) An invasive riparian tree reduces stream ecosystem efficiency via a recalcitrant organic matter subsidy. Ecology 93:15011508 Google Scholar
Murphy, JF, Giller, PS (2000) Seasonal dynamics of macroinvertebrate assemblages in the benthos and associated with detritus packs in two low-order streams with different riparian vegetation. Freshw Biol 43:617631 Google Scholar
Myers, CV, Anderson, RC (2003) Seasonal variation in photosynthetic rates influences success of an invasive plant, Garlic mustard (Alliaria petiolata). Am Midl Nat 150:231245 Google Scholar
Naiman, J, Decamps, H (1997) The ecology of interfaces: riparian zones. Annu Rev Ecol Syst 28:621658 CrossRefGoogle Scholar
Oksanen, AJ, Blanchet, FG, Kindt, R, Minchin, PR, Hara, RBO, Simpson, GL, Solymos, P, Stevens, MHH, Wagner, H (2015) Vegan: Community Ecology Package. R package version 2.3-2. https://cran.r-project.org/web/packages/vegan/Google Scholar
Olden, JD, Kennard, MJ (2010) Intercontinental comparison of fish life history strategies along a gradient of hydrologic variability. Am Fish Soc Symp 73:83107 Google Scholar
Oliver, JD (1996) Mile-a-minute weed, (Polygonum perfoliatum L.), an invasive vine in natural and disturbed sites. Castanea 61:244251 Google Scholar
Peckarsky, BL, Fraissinet, PR, Penton, MA, Conklin, DJ Jr (1990) Freshwater Macroinvertebrates of Northeastern North America. Ithaca, NY: Cornell University Press. 456 pGoogle Scholar
Petchey, OL, Gaston, KJ (2006) Functional diversity: back to basics and looking forward. Ecol Lett 9:741758 Google Scholar
Poff, NL, Olden, JD, Vieira, NKM, Finn, DS, Simmons, MP, Kondratieff, BC (2006) Functional trait niches of North American lotic insects: traits-based ecological applications in light of phylogenetic relationships. J North Am Benthol Soc 25:730755 Google Scholar
Pohlert, A (2015) PMCMR: Calculate multiple comparisons of mean rank sums. R package version 4.0. https://cran.r-project.org/web/packages/PMCMR/Google Scholar
Polis, GA, Strong, DR (1996) Food web complexity and community dynamics. Am Nat 147:813846 Google Scholar
Poulette, MM, Arthur, MA (2012) The impact of the invasive shrub Lonicera maackii on the decomposition dynamics of a native plant community. Ecol Appl 22:412424 Google Scholar
Reich, PB, Oleksyn, J (2004) Global patterns of plant leaf N and P in relation to temperature and latitude. Proc Natl Acad Sci USA 101:1100111006 Google Scholar
Reinhart, KO, VandeVoort, R (2006) Effect of native and exotic leaf litter on macroinvertebrate communities and decomposition in a western Montana stream. Divers Distrib 12:776781 Google Scholar
Richardson, JS (1991) Seasonal food limitation of detritivores in a montane stream: an experimental test. Ecology 72:873887 CrossRefGoogle Scholar
Richardson, JS, Zhang, YX, Marczak, LB (2010) Resource subsidies across the land–freshwater Interface and responses in recipient communities. River Res Appl 26:5566 Google Scholar
Ricotta, C, Carboni, M, Acosta, ATR (2015) Let the concept of indicator species be functional! J Veg Sci 26:839847 Google Scholar
Schneider, WJ (1957) Relation of geology to stream flow in the Upper Little Miami Basin. Ohio J Sci 57:1114 Google Scholar
Schriever, TA, Bogan, MT, Boersma, KS, Cañedo-Argüelles, M, Jaeger, KL, Olden, JD, Lytle, DA (2015) Hydrology shapes taxonomic and functional structure of desert stream invertebrate communities. Freshw Sci 34:399409 Google Scholar
Shewhart, L, McEwan, RW, Benbow, ME (2014) Evidence for facilitation of Culex pipiens (Diptera: Culicidae) life history traits by the nonnative invasive shrub Amur honeysuckle (Lonicera maackii). Environ Entomol 43:15841593 Google Scholar
Sokal, RS, Rohlf, FJ (1981) Biometry: The Principles and Practice of Statistics in Biological Research. 2nd edn. NewYork: W.H. Freeman. 859 pGoogle Scholar
Swan, CM, Healey, B, Richardson, DC (2008) The role of native riparian tree species in decomposition of invasive tree of heaven (Ailanthus altissima) leaf litter in an urban stream. Ecoscience 15:2735 CrossRefGoogle Scholar
Thompson, RM, Townsend, CR (1999) The effect of seasonal variation on the community structure and food-web attributes of two streams: Implications for food-web science. Oikos 87:7588 Google Scholar
Thorp, JP, Covich, AP, eds (2001) Ecology and classification of North American freshwater invertebrates. 2nd edn. San Diego, CA: Academic Press. 1056 pGoogle Scholar
Townsend, CR, Sylvain, D, Norris, R, Peacock, K, Arbuckle, C (2003) The influence of scale and geography on relationships between stream community composition and landscape variables: description and prediction. Freshw Biol 48:768785 Google Scholar
Trammell, TLE, Ralston, HA, Scroggins, SA, Carreiro, MM (2012) Foliar production and decomposition rates in urban forests invaded by the exotic invasive shrub, Lonicera maackii . Biol Invasions 14:529545 Google Scholar
USDA (1999) Lonicera maackii (Rupr.) Herder. http://plants.usda.gov/core/profile?symbol=loma6. Accessed: January 1, 2014Google Scholar
Vannote, RL, Minshall, GW, Cummins, KW, Sedell, JR, Cushing, CE (1980) The River Continuum Concept. Can J Fish Aquat Sci 37:130137 Google Scholar
Verberk, WCEP, Siepel, H, Esselink, H (2008) Life-history strategies in freshwater macroinvertebrates. Freshw Biol 53:17221738 Google Scholar
Villéger, S, Mason, NWH, Mouillot, D (2008) New multidimensionale functional diversity indices for a multifaceted framework in functional ecology. Ecology 89:22902301 Google Scholar
Wallace, JB, Webster, JR (1996) The role of macroinvertebrates in stream ecosystem function. Annu Rev Entomol 41:115139 Google Scholar
Walsh, CJ, Roy, AH, Feminella, JW, Cottingham, PD, Groffman, PM, Morgan, RP (2005) The urban stream syndrome: current knowledge and the search for a cure. J North Am Benthol Soc 24:706723 Google Scholar
Webb, CT, Hoeting, JA, Ames, GM, Pyne, MI, LeRoy Poff, N (2010) A structured and dynamic framework to advance traits-based theory and prediction in ecology. Ecol Lett 13:267283 CrossRefGoogle ScholarPubMed
Weiher, E, Keddy, P, eds. (2001) Ecological Assembly Rules: Perspectives, Advances, Retreats. Cambridge, UK: Cambridge University Press. 432 pGoogle Scholar
Xiao, Y, Xie, G-D, An, K, Lu, C-X (2012) A research framework of ecosystem services based on functional traits. Chinese J Plant Ecol 36:353362 Google Scholar
Yates, ED, Levia, DF, Williams, CL (2004) Recruitment of three non-native invasive plants into a fragmented forest in southern Illinois. For Ecol Manage 190:119130 Google Scholar
Zar, J (1999) Biostatistical Analysis. 4th edn. New Jersey: Prentice-Hall. 929 pGoogle Scholar
Figure 0

Figure 1 Lonicera maackii riparian invasion (a) compared with a noninvaded primary headwater stream (b). Black Oak riparian forest prior to L. maackii removal (c) and post removal (d). Photo credit: R. E. McNeish and R. W. McEwan.

Figure 1

Table 1 Description of macroinvertebrate functional traits (7) and their trait states (26) used for functional diversity calculations and nonmetric multidimensional scaling community dynamics.

Figure 2

Figure 2 Mean above-stream canopy cover in honeysuckle and removal stream reaches. Letters on the x-axis represent sampling months for years indicated.

Figure 3

Figure 3 Macroinvertebrate density present within honeysuckle and removal stream reaches. Letters on the x-axis represent sampling months for years indicated.

Figure 4

Figure 4 Taxonomic community relationships between stream reaches within each sampling season. Panels represent 4-D nonmetric multidimensional scaling (NMDS) results on a 2-D axis with standard error 95% confidence ellipses for stream reach and season.

Figure 5

Figure 5 Functional community relationships between stream reaches within each sampling season. Panels represent 4-D nonmetric multidimensional scaling (NMDS) results on a 2-D axis with standard error 95% confidence ellipses for stream reach and season.

Figure 6

Table 2 Community functional richness (trait space utilized) for both stream reaches and between stream reaches within each sampling season. Percent functional richness represents the percent of functional space utilized out of the total functional space (convex hull) occupied by the community. Functional richness is represented by the volume of the convex hull calculated by nonmetric multidimensional scaling results.

Figure 7

Figure 6 Mean macroinvertebrate functional feeding group (FFG) relative abundance within honeysuckle and removal stream reaches. Letters on the x-axis represent sampling months for years indicated.

Figure 8

Table 3 Functionally relevant indicator macroinvertebrate taxa for honeysuckle and removal stream reaches.

Figure 9

Table 4 Functionally relevant indicator macroinvertebrate taxa for each stream reach within each season. An asterisk indicates taxa that were unique to that stream reach within a season.

Supplementary material: File

McNeish supplementary material

McNeish supplementary material 1

Download McNeish supplementary material(File)
File 1.7 MB