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1 June 2017 A Comparison of Two Insect Collection Techniques in Oiled and Non-Oiled Salt Marshes in Louisiana
Benjamin J. Adams, Xuan Chen, Linda M. Hooper-Bùi
Author Affiliations +
Abstract

Insects are important components in coastal marsh ecosystems and can be used as an indicator of marsh health. Collections of insects in coastal marshes are usually made using either sweep nets or insect vacuums. Differences in these 2 methods have not been compared within the marsh ecosystem. Therefore, we compared collections made using these methods in oiled and non-oiled marshes along multiple transects on the Louisiana coast. We found that sweep net collections accounted for 5.9 times more individual arthropods and more total insect taxa when compared with the insect vacuum collections. Oiled marshes had greater total insect richness but similar abundance and average richness as non-oiled sites; however, we found some changes in insect community composition between sites. These results indicate that sweep net collections are an effective means to sample insects in marsh environments and that oil intrusion can lead to changes in arthropod community structure in coastal marshes.

Marshes play a critical role in coastal and marine ecosystems and human economies, especially in Louisiana, where almost half (approx. 40%) of the coastal marsh area of the United States is located (Erwin et al. 1981; Boesch & Turner 1984; Farber 1987; Bergstrom et al. 1990; Field et al. 1991; Fitz & Wiegert 1991; Turner 1992; Baltz et al. 1993; Peterson & Turner 1994; King & Lester 1995; Möller et al. 2001; Young & Phillips 2002; Minello et al. 2003). The coastal marsh ecosystem is currently threatened by sea level rise, changes in deltaic deposition, hurricanes, ecological disasters such as oil spills, and anthropogenic disturbances including dams, levees, canals, pipelines, and highways (Turner 1997).

Terrestrial arthropods are an important component to marsh and coastal community health and stability (Teal 1962). Insects and spiders quickly move biological material and energy through an ecosystem by acting as primary consumers of plant materials and a major food source for larger arthropods, fish, amphibians, birds, and mammals (Price 1997). They also act as independent detritus consumers, which are crucial to commercial fish stocks (Odum & de la Cruz 1967; Odum & Heald 1972). In addition, insects are accurate bioindicators for evaluating ecological conditions because of their importance to ecosystem function and sensitivity to environmental changes and disturbances (McGeoch 1998). Although insects have widely been used as indicators in terrestrial and freshwater ecosystems (Duelli et al. 1999; Roy et al. 2003; Schulze et al. 2004), they are often overlooked in coastal wetlands studies (however, see Wimp et al. 2010; McCall & Pennings 2012).

A variety of techniques and equipment exist for collecting insects and other terrestrial arthropods (Triplehorn & Johnson 2005). However, many of these techniques are not suitable for the marsh environment because of flooding, exposure to salt, high winds, the lack of canopy cover, and many other factors. The most common procedures for collecting insects in marshes are sweep net sampling, vacuum sampling, and clip plots (Cameron 1972; Elkaim & Rybarczyk 2000; Finke & Denno 2004; Gratton & Denno 2005; Wu et al. 2009; Harvey et al. 2010; Wimp et al. 2010; McCall & Pennings 2012).

Sweep nets and insect vacuums are both used to collect arthropods on vegetation along transects of set length or during set periods of time (Gratton & Denno 2005; Wu et al. 2009; Wimp et al. 2010; Doxon et al. 2011). Previous studies in mixed grass prairies and pastures have shown that the 2 techniques differ in the particular taxa, mean body size, and overall biomass that they collected but not in total species richness (Doxon et al. 2011). In most marsh invertebrate studies, only 1 of these 2 methods is implemented, and more recent studies use primarily vacuum sampling (Elkaim & Rybarczyk 2000; Finke & Denno 2004; Gratton & Denno 2005; Wu et al. 2009; Wimp et al. 2010; McCall & Pennings 2012). Comparisons of possible differences between these 2 techniques have previously not been tested in salt marshes.

Our objective was to compare 2 techniques, sweep nets and insect vacuums, for collecting arthropods in the Spartina alterniflora Loiseleur-Deslongchamps (Poales: Poaceae) marshes of southern Louisiana. In Apr 2010, the Deepwater Horizon (DWH) offshore drilling rig exploded and sank causing a massive oil spill that impacted >1,000 km of the Gulf Coast by Jan 2011. Because our collections occurred after the DWH oil spill, we sampled both oiled and non-oiled sites as part of this comparison. The insects collected during these trials were also used to create a taxonomic list of the entomofauna of the coastal salt marshes of Louisiana.

Materials and Methods

LOCATION

We established 8 sites in saline to brackish S. alterniflora marshes within Plaquemines Parish (County), Louisiana (Table 1). Each selected site had a >100 m by 20 m section of uninterrupted marsh to ensure that multiple transects could be established at distances far enough apart to reduce interaction between transects. Four of the 8 sites were chosen from areas previously identified as oil contaminated during the DWH spill. Non-oiled or reference sites were located in Bay Sans Bois and Bayou Dulac in Barataria Bay; oiled sites were located in Bay Batiste and Bay Jimmy in Barataria Bay. All collections were made between 8:00 a.m. and 2:00 p.m. in Sep 2011. Environmental factors including air temperature and wind speed were recorded at the time of collections (Table 1).

Six days prior to sampling (3 Sep 2011), tropical storm Lee made landfall in this area. The storm surge from the tropical storm coincided with a high tide event causing the marsh grass to be underwater for >18 h (Brown 2011). The implications of this disturbance are not explored in this study, but we acknowledge that the results discussed here were likely influenced by the storm and as such should be interpreted within that context.

SAMPLING METHODS

One collection consisting of two 20 m transects for each collection technique was made at each of the 8 sites (i.e., 1 collection for each technique per site; 16 collections in total). Transects ran perpendicular to the edge of the marsh starting at the edge and walking inward to reduce possible edge effects. Transects using the same collection technique were located 10 m apart. Transects using different collection techniques were separated by >50 m. All collected insects and arachnids were stored in 95% ethanol and later sorted to morphospecies. Insects were identified to genus using a variety of taxonomic keys and lists (Williston 1908; Buren 1958, 1968; Stannard 1968; McAlpine et al. 1981, 1987; Grissell & Schauff 1990; Bolton 1995; Arnett 2000; Needham et al. 2000; Arnett & Thomas 2002; Arnett et al. 2002; Burks 2003; Noyes & Pitkin 2004; Pollet et al. 2004; Triplehorn & Johnson 2005; Wilson 2005; Fisher & Cover 2007; Dash & Hooper-Búi 2008; Merritt et al. 2008; Morgan 2009; Ferro et al. 2010; Johansen 2010; Wimp et al. 2010; Dmitriev 2012; Pape et al. 2012; Walker & Moore 2012). Some morphospecies only contained a single individual that was too damaged to identify to genus. In these cases, taxonomic identification was taken as far as possible. Chalcidoid wasps, in most cases, were only identified to family. Some Cicadellidae and Chironomidae were only identified to tribe.

Table 1.

Location and environmental information for the 8 collection sites.

t01_366.gif

Sweep net collections were conducted using a 38.1 cm (15 inch) diameter collapsible insect collection net (1,140.1 cm2; BioQuip Products, Inc., Rancho Dominguez, California). Vacuum collections were made using a gasoline-powered Agricultural Backpack 2-Cycle Aspirator Model 1612 with a 22.9 cm (9 inch) collection nozzle (411.9 cm2; John W. Hock Company, Gainesville, Florida). The vacuum produced a 31 km (19 miles) per h air intake. Collections for both techniques were made by sweeping the net or nozzle in a back-and-forth arching motion through the Spartina vegetation along each transect. Therefore, both the sweep net and vacuum collections used the same physical motions but the vacuum had the added benefit of having suction. Collections at all sites were conducted by the primary author in order to create a consistent sampling technique across all sites.

STATISTICAL ANALYSES

We used 2 mixed-effects linear models to test for differences in arthropod abundance and insect species richness (lme4 package, R Core Team; Bates et al. 2015) and a mixed-effects PERMANOVA (PRIMER 6.1.14 with PERMANOVA+ 1.0.4, 9,999 iterations, PRIMER-E Ltd., Albany, New Zealand; Anderson et al. 2008) to look for difference in insect species composition. All models originally included collection technique and the presence of oil along with their interaction as fixed effects, as well as bay and site nested within bay as random grouping factors. We reduced the models using a backwards stepwise reduction method based on Akaike information criterion (AIC) values to eliminate non-significant terms (Ribas et al. 2003; Johnson & Omland 2004; Adams et al. 2016). A reduced model excluding both of the random grouping factors had the lowest AIC values. We focus our discussion on the results obtained by the reduced model but will include additional information when the results of the full and reduced models did not match. We also created a species accumulation curve for both collection techniques to determine if differences between the 2 techniques were solely due to limited sample size (Sest function in EstimateS® software version 9.1.0; Colwell 2009).

We used indicator species analysis to identify insect taxa that were associated with significant terms from the previous analysis (indicspecies package, R Core Team 2015; Dufrêne & Legendre 1997; De Cáceres & Legendre 2009). Indicator species analysis is a permutational approach used to determine the relative strength of the association between individual or groups of species and classifications of habitats or conditions within habitats (Bakker 2008; De Cáceres et al. 2012). An indicator value (IndVal) is produced by multiplying the relative abundance and relative frequency of a species or species group across all habitats or conditions (De Cáceres et al. 2012). The significance of the IndVal test statistic is determined by comparing it to an expected distribution of IndVal obtained through randomly reordering the collection data via permutation as described elsewhere (De Cáceres & Legendre 2009). Specifically, we used indicator species analyses to determine which species or groups of species contributed most to differences detected in sweep net and vacuum collections and between oiled and non-oiled sites.

Two Student's t-tests were performed to determine if wind speed or air temperature varied between collections at oiled and non-oiled sites. For insect species richness, the lowest level of known taxonomic identification was used rather than morphospecies to reduce overestimation of species richness (e.g., all morphospecies within a single identified genus were counted as a single species). Arachnids were excluded from species richness and composition analyses due to the difficulty of identifying them beyond order. We calculated similarity among communities using a Bray-Curtis index and used that distance matrix to perform PERMANOVA analyses. We tested the normal distribution of species richness and abundance using the Shapiro-Wilk test. Both species richness and abundance data were log transformed to increase normality in the linear models, and composition data were log(x+1) transformed prior to creating the Bray-Curtis distance matrix.

Results

In total, 1,257 insects and arachnids were collected using both sweep net and vacuum sweeping at the 8 salt marsh sites in Plaquemines Parish. Insects constituted 762 individuals representing 42 genera from 36 families and 7 orders (Table 2). Environmental factors at the time of collection were similar in oiled and non-oiled marsh conditions (air temperature: t = 5.38; df = 1,6; P = 0.07; wind speed: t = 0.22; df = 1,6; P = 0.66).

In total, sweep net collections accounted for nearly 5.9 times more individual arthropods than vacuum sweeping (F = 36.04; df = 1,12; P = 0.0001) and 25 more insect taxa. Oiled sites and non-oiled sites produced similar total numbers of arthropods (F = 0.62; df = 1,12; P = 0.45). Insect species richness followed the same patterns as arthropod abundance with sweep net collections accounting for greater richness than vacuum sweeping (F = 17.93; df = 1,12; P = 0.001) and oil sites having similar richness as non-oil sites (F = 1.97; df = 1,12; P = 0.19). We found no significant interaction effects in any test (F < 2.18; df = 1,6; P > 0.17 for both tests). Species accumulation curves for both collection techniques failed to reach an asymptote; however, even with low replication (n = 8), sweep net collections represented a much richer community sample than vacuum sweeping (Fig. 1).

PERMANOVA tests revealed differences in the species composition of the insects collected using either sweep nets or the insect vacuum (Pseudo-F = 4.54; df = 1,12; P = 0.0005) and in oiled versus non-oiled sites (Pseudo-F = 2.77; df = 1,12; P = 0.01). The interaction term was non-significant (Pseudo-F = 0.68; df = 1,12; P = 0.69). Using the full model, insect species composition only differed as an effect of collection technique (Pseudo-F = 6.02; df = 1,6; P = 0.0002) and not between oiled and non-oiled sites (Pseudo-F = 2.42; df = 1,6; P = 0.098).

Indicator species analyses showed that sweep net samples were marked by high incidences of the genera Ischnodemus (Hemiptera: Blissidae), Incertella (Diptera: Chloropidae), Neohydatothrips (Thysanoptera: Thripidae), and the beetle species Coleomegilla maculata (De Geer) (Coleoptera: Coccinellidae). Individuals in the tribe Diamesinae (Diptera: Chironomidae) were common in vacuum samples (Table 3). The ant Crematogaster pilosa Emery (Hymenoptera: Formicidae) was common in non-oiled sites, and the flies in the tribe Chironomini (Diptera: Chironomidae) were common in oiled sites (Table 4).

Discussion

Here we show that sweep net sampling is a more effective and practical means compared with vacuum sampling for collecting insects in salt marshes. The decreased effectiveness of vacuum sampling in this study is likely in part due to the smaller collection area of the vacuum; however, the area alone (2.7 times less with the vacuum) cannot entirely explain the observed difference (>4.5 times more insects in sweep nets). Insect vacuums are particularly heavy and cumbersome to use in salt marshes, where collection is often slowed due to sinking into the soft sediment. The slower movement coupled with the loud noise and exhaust created by the vacuum likely contribute to its decreased effectiveness compared with a sweep net. It is also important to note that indicator species analyses revealed only a single tribe of Diptera as a common component of vacuum collections, whereas multiple genera across multiple orders were all commonly collected in sweep net samples. In combination, these results indicate that it is likely a better choice to use sweep nets than vacuums when addressing large community focused studies in coastal marsh ecosystems.

Our results both contrast and complement a similar study performed in grassland prairies (Doxon et al. 2011). Specifically, in contrast to their findings, we found that sweep net sampling produced higher species richness of insects than using an insect vacuum in marshes. Doxon et al. (2011) showed that sweep net samples had a larger average biomass of insects than vacuum samples. Similarly, our study showed that sweep net sampling produced a higher total abundance of insects, which would likely translate to a larger total biomass although dry weight of insects was not measured in the present study. Both studies showed a tendency to collect Diptera in vacuums and Hemiptera in the sweep nets; however, comparing the relative abundance of orders sampled between these 2 studies is complicated by potential baseline differences in order frequency between the different habitats. Doxon et al. (2011) also showed vacuums were better than sweep nets for collecting small invertebrates (<5 cm). Insect size was not a specific variable of focus in the present study; however, the much higher incidence of mites and thrips (>200 individuals each) in sweep net than in vacuum collections indicates that collection of small invertebrates was not higher in vacuum than in with sweep net collections in this coastal marsh.

Similarities in arthropod abundance and insect species richness between oiled and non-oiled sites have several possible explanations. First, these similarities could indicate that some populations of terrestrial arthropods in the salt marshes of Louisiana were recovering or were unaffected by oil. However, this is unlikely considering the differences detected in community composition and by the indicator species analyses. Specifically, indicator species analyses revealed that the most common ant species (C. pilosa) seen in the Louisiana Spartina marshes was less abundant in oiled marshes compared with those that were unaffected by the DWH oil spill. Decreases or changes in ant populations are usually linked to anthropogenic disturbances and environmental stress (Andersen 1997; Andersen et al. 2003; Graham et al. 2004, 2008, 2009). Furthermore, ants have not been included in previous analyses of marsh recovery since the DWH oil spill (McCall & Pennings 2012). Considering that the complete model did not detect a difference between oiled and non-oiled sites, larger and more comprehensive studies including data before and after the DWH oil spill are necessary to draw more certain conclusions.

Table 2.

Taxonomic list of marsh entomofauna including abundance data for sweep net collections (S), vacuum collects (V), non-oiled marsh collections (N), and oiled marsh collections (O). Individuals only identified to tribe are marked with a “t” and individuals only identified to subfamily are marked with an “s” in the genus/ species column. Most parasitic wasps and some damaged specimen were identified to family. Mites were not identified beyond class. Taxonomic ordering is based on Triplehorn & Johnson (2005).

t02_366.gif

Fig. 1.

A species accumulation curve for both the sweep net (black) and the vacuum (gray) collection techniques. Dotted lines indicate the 95% confidence interval around each curve. Neither curve reached an asymptote.

f01_366.jpg

Storm surge created by tropical storm Lee also provides an explanation for similarities in abundance and species richness. This event likely suppressed insect populations and could have made differences in arthropod abundance and insect species richness undetectable. A follow-up survey of these sites is an important future direction necessary to confirm the observations made here. In either circumstance, our results indicate that C. pilosa can act as an indicator of marsh recovery and that further exploration of these communities is needed to determine if the marsh environment is recovering.

Table 3.

The indicator species of sweep net and insect vacuum collection techniques for Spartina salt marshes in Louisiana. The values included are the indicator value (IndVal) and adjusted P-value (P).

t03_366.gif

Table 4.

The list of indicator species of oiled and non-oiled marshes from coastal Louisiana with their indicator value (IndVal) and adjusted P-value (P).

t04_366.gif

Acknowledgments

Rachel Strecker provided editorial advice. The Louisiana State Arthropod Museum including Chris Carlton, Michael Ferro, Matt Gimmel, and Jong-Seok Park provided assistance with insect identification. Comments from 2 anonymous reviewers greatly improved this manuscript. This study was funded by a grant provided by the Gulf of Mexico Research Initiative to L. M. H.-B. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. Authors declare no conflict of interest. Data are publicly available through the Gulf of Mexico Research Initiative Information & Data Cooperative (GRIIDC) at  https://data.gulfresearchinitiative. org (doi: 10.7266/N70V89V0).

References Cited

1.

Adams BJ, Schnitzer SA, Yanoviak SP. 2016. Trees as islands: canopy ant species richness increases with the size of liana-free trees in a Neotropical forest. Ecography 39: 001–009. Google Scholar

2.

Andersen AN. 1997. Using ants as bioindicators: multiscale issues in ant community ecology. Conservation Ecology 1: 8. Google Scholar

3.

Andersen AN, Hoffmann BD, Somes J. 2003. Ants as indicators of minesite restoration: community recovery at one of eight rehabilitation sites in central Queensland. Ecological Management and Restoration 4: S12–S19. Google Scholar

4.

Anderson M, Gorley R, Clarke K. 2008. PERMANOVA+ for PRIMER. PRIMER-E Ltd., Plymouth, United Kingdom. Google Scholar

5.

Arnett Jr. RH. 2000. American Insects: A Handbook of the Insects of America North of Mexico. Second Edition. CRC Press LLC, Boca Raton, Florida. Google Scholar

6.

Arnett Jr. RH, Thomas MC [eds.]. 2002. American Beetles Volume 1. Archostemata, Myxophaga, Adephaga: Staphyliniformia. CRC Press LLC, Boca Raton, Florida. Google Scholar

7.

Arnett Jr. RH, Thomas MC, Skelley PE, Frank JH [eds.]. 2002. American Beetles Volume 2. Polyphaga: Scarabaeoideae through Curculionoidea. CRC Press LLC, Boca Raton, Florida. Google Scholar

8.

Bakker JD. 2008. Increasing the utility of Indicator Species Analysis. Journal of Applied Ecology 45: 1829–1835. Google Scholar

9.

Baltz DM, Rakocinski C, Fleeger JW. 1993. Microhabitat use by marsh-edge fishes in a Louisiana estuary. Environmental Biology of Fishes 36: 109–126. Google Scholar

10.

Bates D, Mächler M, Bolker B, Walker S. 2015. Fitting linear mixed-effects models using lme4. Journal of Statistical Software 67: 1–48. Google Scholar

11.

Bergstrom JC, Stoll JR, Titre JP, Wright VL. 1990. Economic value of wetlandsbased recreation. Ecological Economics 2: 129–147. Google Scholar

12.

Boesch DF, Turner RE. 1984. Dependence of fishery species on salt marshes: the role of food and refuge. Estuaries and Coasts 7: 460–468. Google Scholar

13.

Bolton B. 1995. A New General Catalogue of the Ants of the World. Harvard University Press, Cambridge, Massachusetts. Google Scholar

14.

Brown D. 2011. Tropical Cyclone Report: Tropical Storm Lee (AL132011). National Hurricane Center,  http://www.nhc.noaa.gov/data/tcr/AL132011_Lee.pdf (last accessed 11 Nov 2015). Google Scholar

15.

Buren WF. 1958. A review of the species of Crematogaster, sensu stricto, in North America (Hymenoptera: Formicidae) part I. Journal of the New York Entomological Society 66: 119–134. Google Scholar

16.

Buren WF. 1968. A review of the species of Crematogaster, sensu stricto, in North America (Hymenoptera, Formicidae) part II: descriptions of new species. Journal of the Georgia Entomological Society 3: 91–121. Google Scholar

17.

Burks RA. 2003. Key to the Nearctic genera of Eulophidae, subfamilies: Entedoninae, Euderinae, and Eulophinae (Hymenoptera: Chalcidoidea),  http://www.faculty.ucr.edu/~heraty/Eulophidae/index.html (last accessed 11 Nov 2015). Google Scholar

18.

Cameron GN. 1972. Analysis of insect trophic diversity in two salt marsh communities. Ecology 53: 58–73. Google Scholar

19.

Colwell RK. 2009. EstimateS: Statistical Estimation of Species Richness and Shared Species from Samples. User's Guide Version 8.2. [Online, version 8.2 not available anymore] Google Scholar

20.

Dash ST, Hooper-Bùi LM. 2008. Species diversity of ants (Hymenoptera: Formicidae) in Louisiana. Annals of the Entomological Society of America 101: 1056–1066. Google Scholar

21.

De Cáceres M, Legendre P. 2009. Associations between species and groups of sites: indices and statistical inference. Ecology 90: 3566–3574. Google Scholar

22.

De Cáceres M, Legendre P, Wiser SK, Brotons L. 2012. Using species combinations in indicator value analyses. Methods in Ecology and Evolution 3: 973–982. Google Scholar

23.

Dmitriev DA. 2012. An Interactive Key to Tribes of Leafhoppers (Cicadellidae),  http://dmitriev.speciesfile.org/3i_keys.asp (last accessed 11 Nov 2015). Google Scholar

24.

Doxon ED, Davis CA, Fuhlendorf SD. 2011. Comparison of two methods for sampling invertebrates: vacuum and sweep-net sampling. Journal of Field Ornithology 82: 60–67. Google Scholar

25.

Duelli P, Obrist MK, Schmatz DR. 1999. Biodiversity evaluation in agricultural landscapes: above-ground insects. Agriculture, Ecosystems and Environment 74: 33–64. Google Scholar

26.

Dufrêne M, Legendre P. 1997. Species assemblages and indicator species: the need for a flexible asymmetrical approach. Ecological Monographs 67: 345–366. Google Scholar

27.

Elkaim B, Rybarczyk H. 2000. Structure of the invertebrate community of the salt marshes of the Bay of Somme (eastern English Channel). Cahiers de Biologie Marine 41: 295–311. Google Scholar

28.

Erwin RM, Galli J, Burger J. 1981. Colony site dynamics and habitat use in Atlantic coast seabirds. The Auk 98: 550–561. Google Scholar

29.

Farber S. 1987. The value of coastal wetlands for protection of property against hurricane wind damage. Journal of Environmental Economics and Managements 14: 143–151. Google Scholar

30.

Ferro ML, Parys KA, Gimmel ML. 2010. Dragonflies and Damselflies of Louisiana. Louisiana State Arthropod Museum, Baton Rouge, Louisiana. Google Scholar

31.

Field DW, Reyer AJ, Genovese PV, Shearer BD. 1991. Coastal wetlands of the United States: an accounting of a valuable national resource. U.S. Department of Commerce, National Oceanic and Atmospheric Administration, Washington, District of Columbia. Google Scholar

32.

Finke DL, Denno RF. 2004. Predator diversity dampens trophic cascades. Nature 429: 407–410. Google Scholar

33.

Fisher BL, Cover SP. 2007. Ants of North America: A Guide to the Genera. University of California Press, Oakland, California. Google Scholar

34.

Fitz HC, Wiegert RG. 1991. Utilization of the intertidal zone of a salt marsh by the blue crab Callinectes sapidus: density, return frequency, and feeding habits. Marine Ecology Progress Series 76: 249–260. Google Scholar

35.

Graham JH, Hughie HH, Jones S, Wrinn K, Krzysik AJ, Duda JJ, Freeman DC, Emlen JM, Zak JC, Kovacic DA, Chamberlin-Graham C, Balbach H. 2004. Habitat disturbance and the diversity and abundance of ants (Formicidae) in the Southeastern Fall-Line Sandhills. Journal of Insect Science 4: 30. Google Scholar

36.

Graham JH, Krzysik AJ, Kovacic DA, Duda JJ, Freeman DC, Emlen JM, Zak JC, Long WR, Wallace MP, Chamberlin-Graham C, Nutter JP, Balbach HE. 2008. Ant community composition across a gradient of disturbed military landscapes at Fort Benning, Georgia. Southeastern Naturalist 7: 429–448. Google Scholar

37.

Graham JH, Krzysik AJ, Kovacic DA, Duda JJ, Freeman DC, Emlen JM, Zak JC, Long WR, Wallace MP, Chamberlin-Graham C, Nutter JP, Balbach HE. 2009. Species richness, equitability, and abundance of ants in disturbed landscapes. Ecological Indicators 9: 866–877. Google Scholar

38.

Gratton C, Denno RF. 2005. Restoration of arthropod assemblages in a Spartina salt marsh following removal of the invasive plant Phragmites australis. Restoration Ecology 13: 358–372. Google Scholar

39.

Grissell EE, Schauff ME. 1990. A Handbook of the Families of Nearctic Chalcidoidea (Hymenoptera). Entomological Society of Washington, Washington, District of Columbia. Google Scholar

40.

Harvey KJ, Britton DR, Minchinton TE. 2010. Insect diversity and trophic structure differ on native and non-indigenous congeneric rushes in coastal salt marshes. Austral Ecology 35: 522–534. Google Scholar

41.

Johansen KJ. 2010. Creating an interactive and dichotomous key to the world subfamilies of Braconidae. M.Sc. thesis, University of Kentucky, Paper 79,  http://uknowledge.uky.edu/gradschool_theses/79/ (last accessed 22 Feb 2017). Google Scholar

42.

Johnson JB, Omland KS. 2004. Model selection in ecology and evolution. Trends in Ecology and Evolution 19: 101–108. Google Scholar

43.

King SE, Lester JN. 1995. The value of salt marsh as a sea defence. Marine Pollution Bulletin 30: 180–189. Google Scholar

44.

McAlpine JF, Petersen BV, Shewell GE, Teskey HJ, Vockeroth JR, Wood DM. 1981. Manual of Nearctic Diptera. Volume 1. Canadian Government Publishing Centre, Hull, Quebec, Canada. Google Scholar

45.

McAlpine JF, Petersen BV, Shewell GE, Teskey HJ, Vockeroth JR, Wood DM. 1987. Manual of Nearctic Diptera. Volume 2. Canada Communication Group - Publishing, Ottawa, Canada. Google Scholar

46.

McCall BD, Pennings SC. 2012. Disturbance and recovery of salt marsh arthropod communities following BP Deepwater Horizon oil spill. PLoS One 7:3 e32735. Google Scholar

47.

McGeoch MA. 1998. The selection, testing and application of terrestrial insects as bioindicators. Biological Reviews 73: 181–201. Google Scholar

48.

Merritt RW, Cummins KW, Berg MB. 2008. An Introduction to the Aquatic Insects of North America. Fourth Edition. Kendall Hunt Publishing Company, Dubuque, Iowa. Google Scholar

49.

Minello TJ, Able KW, Weinstein MP, Hays CG. 2003. Salt marshes as nurseries for nekton: testing hypotheses on density, growth and survival through metaanalysis. Marine Ecology Progress Series 246: 39–59. Google Scholar

50.

Möller I, Spencer T, French JR, Leggett DJ, Dixon M. 2001. The sea-defence value of salt marshes: field evidence from north Norfolk. Water and Environment 15: 109–116. Google Scholar

51.

Morgan CE. 2009. Revision of the Ant Genus Crematogaster (Hymenoptera: Formicidae) in North America. ProQuest LLC, Ann Arbor, Michigan. Google Scholar

52.

Needham JG, Westfall Jr MJ, May ML. 2000. Dragonflies of North America. Scientific Publishers, Inc., Gainesville, Florida. Google Scholar

53.

Noyes JS, Pitkin B. 2004. Universal Chalcidoidea Database: A key to the families of Chalcidoidea and Mymaromatoidea,  http://www.nhm.ac.uk/chalcidoids (last accessed 11 Nov 2015). Google Scholar

54.

Odum EP, de la Cruz AA. 1967. Particulate organic detritus in a Georgia salt marsh-estuarine ecosystem, pp. 383–388 In Lauff GH [ed.], Estuaries: Nutrients and Biological Productions. American Association for the Advancement of Science Publication 83. Google Scholar

55.

Odum WE, Heald EJ. 1972. Trophic analyses of an estuarine mangrove community. Bulletin of Marine Science 22: 671–738. Google Scholar

56.

Pape T, Dahlem G, de Mello Patiu CA, Giroux M. 2012. The world of flesh flies (Diptera: Sarcophagidae),  http://www.zmuc.dk/entoweb/sarcoweb/sarcweb/sarc_web.htm (last accessed 11 Nov 2015). Google Scholar

57.

Peterson GW, Turner RE. 1994. The value of salt marsh edge vs interior as a habitat for fish and decapod crustaceans in a Louisiana tidal marsh. Estuaries and Coasts 17: 235–262. Google Scholar

58.

Pollet MAA, Brooks SE, Cumming JM. 2004. Catalog of the Dolichopodidae (Diptera) of America north of Mexico. Bulletin of the American Museum of Natural History 283: 1–114. Google Scholar

59.

Price PW. 1997. Insect Ecology. Third Edition. Wiley, Hoboken, New Jersey. Google Scholar

60.

Ribas CR, Schoereder JH, Pic M, Soares SM. 2003. Tree heterogeneity, resource availability, and larger scale processes regulating arboreal ant species richness. Austral Ecology 28: 305–314. Google Scholar

61.

Roy AH, Rosemond AD, Leigh DS, Paul MJ, Wallace JB. 2003. Habitat-specific responses of stream insects to land cover disturbance: biological consequences and monitoring implications. Journal of the North American Benthological Society 22: 292–307. Google Scholar

62.

Schulze CH, Waltert M, Kessler PJA, Pitopang R, Veddeler D, Mühlenberg M, Gradstein SR, Leuschner C, Steffan-Dewenter I, Tscharntke T. 2004. Biodiversity indicator groups of tropical land-use systems: comparing plants, birds, and insects. Ecological Applications 14: 1321–1333. Google Scholar

63.

Stannard LJ. 1968. The Thrips, or Thysanoptera, of Illinois. Illinois Natural History Survey Bulletin 29: 215–552. Google Scholar

64.

Teal JM. 1962. Energy flow in the salt marsh ecosystem of Georgia. Ecology 43: 614–624. Google Scholar

65.

Triplehorn CA, Johnson NF. 2005. Borror and Delong's Introduction to the Study of Insects. Seventh Edition. Brooks/Cole Publishing, Pacific Grove, California. Google Scholar

66.

Turner RE. 1992. Coastal wetlands and penaeid shrimp habitat, pp. 97–104 In Stroud RH [ed.], Stemming the Tide of Coastal Fish Habitat Loss. Proceedings of the 14th Annual Marine Recreational Fisheries Symposium. National Coalition for Marine Conservation, Inc, Waterford, Virginia. Google Scholar

67.

Turner RE. 1997. Wetland loss in the northern Gulf of Mexico: multiple working hypotheses. Estuaries and Coasts 20: 1–13. Google Scholar

68.

Walker TJ, Moore TE. 2012. Singing insects of North America,  http://entnemdept.ifas.ufl.edu/walker/Buzz/ (last accessed 11 Nov 2015). Google Scholar

69.

Williston SW. 1908. Manual of North American Diptera. Third Edition. J. T. Hathaway, New Haven, Connecticut. Google Scholar

70.

Wilson SW. 2005. Keys to the families of Fulgoromorpha with emphasis on planthoppers of potential economic importance in the southeastern United States (Hemiptera: Auchenorrhyncha). Florida Entomologist 88: 464–481. Google Scholar

71.

Wimp GM, Murphy SM, Finke DL, Huberty AF, Denno RF. 2010. Increased primary production shifts the structure and composition of a terrestrial arthropod community. Ecology 91: 3303–3311. Google Scholar

72.

Wu YT, Wang CH, Zhang XD, Zhao B, Jiang LF, Chen JK, Li B. 2009. Effects of saltmarsh invasion by Spartina alterniflora on arthropod community structure and diets. Biological Invasions 11: 635–649. Google Scholar

73.

Young RF, Phillips HD. 2002. Primary production required to support bottlenose dolphins in a salt marsh estuarine creek system. Marine Mammal Science 18: 358–375. Google Scholar
Benjamin J. Adams, Xuan Chen, and Linda M. Hooper-Bùi "A Comparison of Two Insect Collection Techniques in Oiled and Non-Oiled Salt Marshes in Louisiana," Florida Entomologist 100(2), 366-371, (1 June 2017). https://doi.org/10.1653/024.100.0236
Published: 1 June 2017
KEYWORDS
aspiradora insectos
insect vacuum
red de barrido para insectos
Spartina alterniflora
sweep net
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