Short Communication |
Corresponding author: Anthony I. Cognato ( cognato@msu.edu ) Academic editor: Miguel Alonso-Zarazaga
© 2021 Stephanie A. Dole, Jiri Hulcr, Anthony I. Cognato.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Dole SA, Hulcr J, Cognato AI (2021) Species-rich bark and ambrosia beetle fauna (Coleoptera, Curculionidae, Scolytinae) of the Ecuadorian Amazonian Forest Canopy. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 797-813. https://doi.org/10.3897/zookeys.1044.57849
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Canopy fogging was used to sample the diversity of bark and ambrosia beetles (Coleoptera, Curculionidae, Scolytinae) at two western Amazonian rainforest sites in Ecuador. Sampling was conducted by Dr Terry Erwin and assistants from 1994–2006 and yielded 1158 samples containing 2500 scolytine specimens representing more than 400 morphospecies. Here, we analyze a subset of these data representing two ecological groups: true bark beetles (52 morphospecies) and ambrosia beetles (69 morphospecies). A high percentage of these taxa occurred as singletons and doubletons and their species accumulation curves did not reach an asymptote. Diversity estimates placed the total scolytine species richness for this taxon subset present at the two sites between 260 and 323 species. The α-diversity was remarkably high at each site, while the apparently high β-diversity was an artifact of undersampling, as shown by a Monte Carlo resampling analysis. This study demonstrates the utility of canopy fogging for the discovery of new scolytine taxa and for approximate diversity assessment, but a substantially greater sampling effort would be needed for conclusive alpha as well as beta diversity estimates.
ambrosia beetles, bark beetles, diversity, neotropical, rainforest, Terry Erwin
First pioneered by
For a more than a decade, Erwin and colleagues sampled arthropod diversity in the Ecuadorian Amazon rainforest canopy at two lowland sites with identified trees, separated by 21 km of contiguous primary forest, using a standardized insecticidal fogging protocol (
The Scolytinae (Coleoptera, Curculionidae) is comprised of approximately 257 genera containing 6000 species worldwide (
Scolytines are divided into two main ecological groups: bark and ambrosia beetles. The degree to which scolytines specialize on specific hosts varies considerably depending on these ecological groups. Bark beetles bore into the phloem of trees, feed on tree tissues, and tend to have more specialized host preferences. Ambrosia beetles bore into the xylem, feed on species of symbiotic fungi, which grow along the walls of their galleries, and tend to have more generalized tree host preferences (
Remarkably few studies have addressed the spatial and temporal turnover of scolytine species (β-diversity) (
In tropical ecosystems, an increase in host specificity combined with an increase in plant diversity is often used to explain high levels of species diversity. However, bark and ambrosia beetles show a reverse trend with at least some groups exhibiting lower host specificity in tropical regions. This is largely due to the greater abundance of ambrosial feeding scolytines which, as discussed above, tend to be relative host plant generalists (
In this study, we use a subset of scolytine specimens representing both the bark beetle and ambrosia beetle ecological groups to assess the diversity of scolytines at two western Amazonian forest study sites. We use these data to assess the value of canopy fogging as a source of scolytine specimens, determine the spatial turnover of scolytine species, and use the data collected from these fogging stations to predict the scolytine species richness at the two sites.
The two study sites in this investigation were typical lowland rain forest habitats in the western Amazon Basin at the margin of Yasuní National Park, separated by 21 km of contiguous primary forest: Onkone Gare Station (cited as “Piraña” in
Tree data were recorded for collecting stations within Erwin’s canopy fogging study transects. Trees with a diameter at breast height (diameter measured at 1.33 m from tree base) greater than 10 cm that had at least part of a branch hanging over the collecting sheet were tagged by Erwin’s team and subsequently identified (
The fogging protocol followed
Fogging occurred at Onkone Gare from 1994–1996 and 2005–2006, and at Tiputini from 1998–2002 three times per year: January/February (dry), June/July (wet), and October (transitional). Foggings occurred at 0345–0500 hr in order to minimize insecticidal drift outside of the column due to air currents. The pyrethroid insecticide resmythrim was fogged for 60 seconds in a column from just above the sheet to a height that was then recorded for each fogging event (for details on fogging techniques and equipment used see
The samples examined herein represent only a subset (1158 samples) of the total (1400+ samples) taken during the decade of canopy fogging. Samples from several collecting expeditions were not exported from Ecuador and were therefore not available for this study. Scolytine beetles were extracted from the adult Coleoptera samples, sorted to morphospecies, and identified using published keys (e.g.,
We compared the differences between the communities of scolytines occurring at Onkone Gare and Tiputini with statistical analyses used in similar studies (
Accumulation curves of species richness were estimated using the Mao Tau function which is an analytical analog of a randomized rarefaction procedure. Impact of rare species on these accumulation curves was evaluated with abundance-based, Chao1 (
In addition to the above richness estimators, a second-order Jackknife (
Faunal distinctness or dissimilarity between the two sites was measured with the Complementarity Index (CI) (
To test the hypothesis that the observed similarity is not statistically significant, but rather a result of random sampling of individuals from similar or identical scolytine communities, we performed a Monte Carlo analysis using the total rarefied dataset. In each replicate of this test individuals of each species were randomly distributed between the two sites. This randomized dataset was then used to calculate the Chao-Sørensen similarity index and the procedure was repeated 100 times.
A total of 1158 canopy fogging bulk samples were analyzed from the Ecuadorian Amazon study transects; 965 from Onkone Gare and 293 from the Tiputini (Table
Numbers of scolytine species from canopy fogging two sites in Ecuador, complimentary index values and species richnessestimates. CI= complimentary index, ACE= Abundance-based Coverage Estimator, ICE= Incidence-based Coverage Estimator, Jack2 = second-order jackknife.
(A) All taxa | No. Samples | Species Observed | Unique Species | CI | ACE | ICE | Chao1 | Chao2 | Jack2 |
Onkone Gare | 965 | 98 | 74 | NA | 275 | 292 | 296 | 309 | 217 |
Tiputini | 293 | 47 | 24 | NA | 90 | 96 | 85 | 90 | 95 |
Both Sites | 1158 | 121 | NA | 0.81 | 301 | 323 | 308 | 311 | 260 |
(B) Bark beetles | |||||||||
Onkone Gare | 965 | 42 | 32 | NA | 95 | 90 | 154 | 109 | 83 |
Tiputini | 293 | 20 | 10 | NA | 38 | 35 | 32 | 30 | 35 |
Both Sites | 1158 | 52 | NA | 0.81 | 121 | 119 | 154 | 137 | 109 |
(C) Ambrosia beetles | |||||||||
Onkone Gare | 965 | 56 | 42 | NA | 179 | 184 | 153 | 208 | 128 |
Tiputini | 293 | 27 | 14 | NA | 51 | 61 | 55 | 67 | 58 |
Both Sites | 1158 | 69 | NA | 0.81 | 183 | 211 | 161 | 174 | 150 |
Subtribe | Genus | Species | Locality(ies) | No. Specimens |
Bothrosternini | Akrobothrus | ecuadoriensis | Onkone Gare | 3 |
Bothrosternus | n. sp. nr. truncatus | Onkone Gare/Tiputini | 8 | |
sp. 1 | Tiputini | 1 | ||
sp. 2 | Onkone Gare | 1 | ||
sp. 3 | Onkone Gare | 1 | ||
sp. 4 | Onkone Gare | 1 | ||
Cnesinus | sp. 1 | Onkone Gare | 4 | |
sp. 2 | Onkone Gare | 6 | ||
sp. 3 | Tiputini | 1 | ||
sp. 4 | Tiputini | 2 | ||
sp. 5 | Tiputini | 2 | ||
sp. 6 | Onkone Gare/Tiputini | 4 | ||
sp. 7 | Onkone Gare/Tiputini | 4 | ||
sp. 8 | Onkone Gare | 1 | ||
sp. 9 | Onkone Gare/Tiputini | 5 | ||
sp. 10 | Onkone Gare | 1 | ||
Eupagiocerus | sp. 1 | Onkone Gare/Tiputini | 2 | |
Pagiocerus | sp. 1` | Onkone Gare/Tiputini | 4 | |
Sternobothrus | sp. 1 | Tiputini | 2 | |
sp. 2 | Onkone Gare | 1 | ||
sp. 3 | Onkone Gare | 1 | ||
sp. 4 | Onkone Gare | 1 | ||
Phloeosinini | Chramesus | sp. 1 | Onkone Gare | 1 |
sp. 2 | Tiputini | 1 | ||
sp. 3 | Onkone Gare | 1 | ||
sp. 4 | Tiputini | 1 | ||
sp. 5 | Onkone Gare | 1 | ||
sp. 6 | Onkone Gare | 1 | ||
Phloeotribini | Phloeotribus | sp. 1 | Onkone Gare/Tiputini | 31 |
sp. 2 | Onkone Gare | 20 | ||
sp. 3 | Onkone Gare/Tiputini | 6 | ||
sp. 4 | Onkone Gare/Tiputini | 21 | ||
sp. 5 | Onkone Gare | 1 | ||
sp. 6 | Onkone Gare | 4 | ||
sp. 7 | Onkone Gare | 1 | ||
sp. 8 | Onkone Gare | 1 | ||
sp. 9 | Onkone Gare | 2 | ||
sp. 10 | Onkone Gare | 1 | ||
sp. 11 | Onkone Gare | 1 | ||
sp. 12 | Tiputini | 2 | ||
sp. 13 | Onkone Gare | 1 | ||
sp. 14 | Tiputini | 1 | ||
sp. 15 | Onkone Gare/Tiputini | 7 | ||
sp. 16 | Onkone Gare | 13 | ||
sp. 17 | Onkone Gare | 1 | ||
sp. 18 | Tiputini | 1 | ||
sp. 19 | Onkone Gare | 1 | ||
sp. 20 | Onkone Gare | 1 | ||
sp. 21 | Onkone Gare | 1 | ||
Phrixosomini | Phrixosoma | sp. 1 | Onkone Gare | 1 |
sp. 2 | Onkone Gare | 1 | ||
sp. 3 | Onkone Gare | 1 | ||
183 |
Subtribe | Genus | Species | Locality(ies) | No. Specimens |
---|---|---|---|---|
Xyleborini | Ambrosiodmus | sp. | Onkone Gare | 1 |
Callibora | sarahsmithae | Onkone Gare | 1 | |
Coptoborus | sp. 1 | Onkone Gare/Tiputini | 6 | |
sp. 2 | Onkone Gare | 1 | ||
sp. 3 | Onkone Gare | 2 | ||
sp. 4 | Onkone Gare/Tiputini | 15 | ||
sp. 5 | Onkone Gare/Tiputini | 11 | ||
sp. 6 | Onkone Gare/Tiputini | 2 | ||
sp. 7 | Tiputini | 1 | ||
sp. 8 | Onkone Gare/Tiputini | 2 | ||
sp. 9 | Onkone Gare/Tiputini | 5 | ||
sp. 10 | Onkone Gare/Tiputini | 6 | ||
sp. 11 | Onkone Gare | 1 | ||
sp. 12 | Onkone Gare | 1 | ||
sp. 13 | Onkone Gare | 1 | ||
sp. 14 | Onkone Gare | 1 | ||
sp. 15 | Onkone Gare | 1 | ||
sp. 16 | Onkone Gare | 1 | ||
sp. 17 | Onkone Gare | 3 | ||
sp. 18 | Onkone Gare | 1 | ||
sp. 19 | Onkone Gare | 1 | ||
sp. 20 | Onkone Gare | 1 | ||
sp. 21 | Onkone Gare | 1 | ||
sp. 22 | Tiputini | 1 | ||
sp. 23 | Onkone Gare | 1 | ||
sp. 24 | Onkone Gare | 1 | ||
sp. 25 | Onkone Gare | 2 | ||
vespatorius | Onkone Gare | 1 | ||
Dryocoetoides | sp. 1 | Onkone Gare | 6 | |
sp. 2 | Onkone Gare | 1 | ||
sp. 3 | Onkone Gare | 1 | ||
sp. 4 | Onkone Gare | 1 | ||
sp. 5 | Onkone Gare | 2 | ||
Theoborus | sp. 1 | Tiputini | 1 | |
sp. 2 | Tiputini | 3 | ||
sp. 3 | Onkone Gare/Tiputini | 5 | ||
nr. micarius | Onkone Gare | 1 | ||
sp. 4 | Onkone Gare | 3 | ||
sp. 5 | Tiputini | 1 | ||
sp. 6 | Onkone Gare/Tiputini | 8 | ||
sp. 7 | Tiputini | 1 | ||
sp. 8 | Onkone Gare | 1 | ||
sp. 9 | Onkone Gare | 1 | ||
sp. 10 | Onkone Gare | 1 | ||
Xyleborinus | sp. 1 | Tiputini | 2 | |
Xyleborus | sp. 1 | Tiputini | 21 | |
spathipennis | Onkone Gare/Tiputini | 2 | ||
affinis | Onkone Gare/Tiputini | 317 | ||
sp. 2 | Tiputini | 1 | ||
nr. ferrugineus | Onkone Gare/Tiputini | 12 | ||
sp. 3 | Onkone Gare | 2 | ||
Xyleborini | Xyleborus | sp. 4 | Tiputini | 8 |
sp. 5 | Tiputini | 1 | ||
sp. 6 | Onkone Gare | 1 | ||
sp. 7 | Tiputini | 1 | ||
sp. 8 | Tiputini | 1 | ||
sp. 9 | Onkone Gare | 1 | ||
sp. 10 | Onkone Gare | 2 | ||
sp. 11 | Tiputini | 1 | ||
sp. 12 | Onkone Gare | 1 | ||
sp. 13 | Onkone Gare | 1 | ||
sp. 14 | Onkone Gare | 2 | ||
sp. 15 | Onkone Gare | 1 | ||
sp. 16 | Onkone Gare | 1 | ||
sp. 17 | Onkone Gare | 1 | ||
sp. 18 | Onkone Gare | 1 | ||
sp. 19 | Onkone Gare | 1 | ||
Xylosandrus | morigerus | Onkone Gare/Tiputini | 12 | |
Premnobiina | Premnobius | cavipennis | Onkone Gare | 1 |
Total | 504 |
Species accumulation curves for both sites combined and for each site individually did not reach an asymptote (Fig.
Simple Complementarity Indices suggested that the composition of the scolytine fauna was markedly different for the two study sites. Onkone Gare and Tiputini had a CI = 0.81 for the total analyzed subset of scolytine tribes (Table
However, the correction for biases of incomplete sampling of the fauna using the Chao-Sørensen abundance-based estimator with the rarefied data estimated a faunal similarity of 0.79. Similarly, the Monte Carlo analysis returned a probability of 0.374 [median modeled similarity L’ = 0.77 (lower and upper 2.5% quantiles = 0.634 and 0.836)]. Both the Chao-Sørensen and the Monte Carlo analyses indicate that the apparent difference between the two sites was due to stochastic sampling error and the difference does not appear to be biologically significant.
South American (SA) scolytine genera and species recorded and collected via canopy fogging.
Taxon | SA Genera | SA Species | Genera Collected | Species Collected |
---|---|---|---|---|
Xyleborini | 11 | 233 | 8 | 69 |
Premnobiina | 2 | 4 | 1 | 1 |
Bothrosternini | 6 | 82 | 6 | 22 |
Phloeosinini | 5 | 61 | 1 | 6 |
Phloeotribini | 1 | 54 | 1 | 21 |
Phrixosomini | 1 | 10 | 1 | 3 |
Distribution of species by taxon between sites and the corresponding index values.
Taxon | % Occurrence in Samples | Onkone Gare spp. | Tiputini spp. | Total spp. | Shared spp. | Unique spp. | CI |
---|---|---|---|---|---|---|---|
Xyleborini | 27 | 56 | 27 | 69 | 14 | 55 | 0.81 |
Premnobiina | 0.09 | 1 | 0 | 1 | 0 | 1 | 1.00 |
Bothrosternini | 4.32 | 17 | 11 | 22 | 6 | 16 | 0.73 |
Phloeosinini | 0.52 | 4 | 2 | 6 | 0 | 6 | 1.00 |
Phloeotribini | 7.69 | 18 | 7 | 21 | 4 | 17 | 0.81 |
Phrixosomini | 0.26 | 3 | 0 | 3 | 0 | 3 | 1.00 |
The goals of this study were to assess the scolytine species richness, the use of canopy fogging to enhance the discovery of new taxa, and to estimate the faunal turnover (β-diversity) between a short distance in Amazonian rain forest. Species records for Ecuador range from 50 recorded in a monograph (
Taxonomic study of these 400 morphospecies has yielded species descriptions of 21 Scolytodes species (84% of the known Ecuadorian fauna) (
Our analysis of the partial scolytine samples fogged from the Ecuadorian Amazonian canopy indicates a species-rich fauna but the estimate of a high β-diversity depended on the method’s sensitivity to undersampling. Specifically, the simple measure of complementarity suggested substantial faunal difference between the sites, but the Chao-Sørensen and Monte Carlo resampling showed that the differences were statistically inconclusive.
Our results indicate that even a large-scale, long-term sampling effort, such as this one, did not provide a reliable estimate of scolytine diversity for the two western Amazonian sites. Despite over 1100 individual fogging events (representing 14 fogging expeditions), which collected 688 individual beetles representing 121 species (used in this analysis), the species accumulation curves did not reach an asymptote (Fig.
Despite this inconclusive result, we speculate on the scolytine diversity in the canopy. Given the relatively short distance (21 km) between Onkone Gare and Tiputini the real β-diversity is likely low because of the sites’ relatively proximity and very similar environment. The Onkone Gare and Tiputini sites differ in the occurrence of tree species but share the same tree families (
Large-scale sampling of tropical habitats offers a rich source of previously unknown species, but as this study demonstrates, even the most ambitious sampling schemes may not be enough to adequately assess the true species richness of hyper-diverse groups. Here we have uncovered a level of scolytine α-diversity that increases the known fauna of Ecuador nearly five-fold, only based on sampling a single Amazonian habitat. Future studies will need even more extensive sampling protocols to avoid erroneous conclusions and over-estimates of β-diversity based on stochastic sampling (
The authors are grateful to Dr Terry Erwin for his collaboration and generous sharing of samples that made this work possible. Throughout his distinguished career Dr Erwin was known for his warm and enthusiastic demeanor and his mentorship of students from around the world. SAD was one such graduate student and considers working beside Terry canopy fogging in the Ecuadorian Amazon to be one of the richest experiences of her career. Dr Erwin lives on in his substantial body of work and in the careers of the many scientists he mentored. We would like to thank Sarah Smith (Michigan State University) for her assistance and support with this research. Specimen collection funded by: Ecuambiente Consulting Group, Ecuador; Casey Fund, Department of Entomology, NMNH; NMNH Lowland Amazon Project. This research was supported by NSF-PEET grant (DEB-0328920) to Anthony I. Cognato (Michigan State University).