Research Article |
Corresponding author: Peter Duelli ( peter.duelli@wsl.ch ) Academic editor: Christian Monnerat
© 2019 Peter Duelli, Beat Wermelinger, Marco Moretti, Martin К. Obrist.
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:
Duelli P, Wermelinger B, Moretti M, Obrist MK (2019) Fire and windthrow in forests: Winners and losers in Neuropterida and Mecoptera. Alpine Entomology 3: 39-50. https://doi.org/10.3897/alpento.3.30868
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The mid-term impact of forest fires and windthrows on species compositions in the insect orders Neuroptera, Raphidioptera and Mecoptera was assessed in Swiss forests using standardized flight interception traps. For 50 species the abundances in intact control plots were compared to those in moderately or strongly disturbed forest stands. The catches were combined over four forest disturbance projects ranging from windthrows in alpine spruce forests and lowland deciduous forests to winter forest fires in Southern Switzerland and a large summer fire in southwestern Switzerland. As a result 82% of the 50 species benefited from the disturbance and became more abundant in the years after the fire or windthrow. More species (19) had their maximum abundance in intermediately disturbed plots than in heavily disturbed forests (17). Only 11 species mainly Hemerobiidae and Coniopterygidae peaked in the undisturbed forest stands. The species are listed per impact and ranked as winners (more than 66% specimens per treatment collected in disturbed forest plots) losers (more than 66% specimens per treatment in undisturbed forest plots) and indifferent species. An additional 29 species that were too scarce for an assessment are listed in Appendix 1. We conclude that for Neuropterida and Mecoptera catastrophic incidences are natural ecological events which create new habitats and by this foster their occurrence and abundance.
Natural impacts, wind-fell, blow-down, wildfire, forest fire, Neuroptera, Raphidioptera, insects
Natural disturbances such as strong storms causing windthrow in forests or wildfires destroying the vegetation have a drastic impact on the survival of plants and animals (
Apart from earlier more general assessments of Neuropterida survival in three of the four projects presented here (
Two similar types of trap stations were used for sampling Neuroptera, Raphidioptera, and Mecoptera. In the windthrow project in Alpine spruce forests each trap station consisted of a window trap and a yellow bucket trap (Fig.
Trap numbers and sampling periods varied between projects, but were always identical among the three treatments within one project (see below). The traps were emptied weekly. The sampled material was stored in vials with 70% EtOH and sorted to taxonomic groups. The specimens of Neuropterida and Mecoptera were identified by the first author using the nomenclature of the lacewing digital library (
Two projects investigated the impact of windthrow on the insect fauna: in the Northern Pre-Alps (Windthrow I), and on the Swiss Plateau (Windthrow II). Two other projects analyzed the impact of forest fire: one encompassed multiple fire on the southern slope of the Alps in Ticino (Forest Fire I), the other was a large wildfire in the inner-Alpine valley Valais (Forest Fire II). Table
Each of the four projects included three different treatments. Intact, undisturbed forests (FO) served as controls, heavily disturbed (HD) plots were plots with maximum disturbance, and intermediately disturbed (ID) plots were less severely disturbed. More detailed descriptions of the treatments are given below.
Project | Canton | Community | Locality | Treatment | Latitude | Longitude | m above sea | N sites |
---|---|---|---|---|---|---|---|---|
Forest Fire I | TI | Brissago | Boscopiano | control | 46.133936, 8.712697 | 560 | 3 | |
Ciossa | control | 46.105821, 8.692639 | 460 | 3 | ||||
Gordola | Falò | control | 46.191353, 8.840348 | 590 | 3 | |||
Monti di Ditto | control | 46.184869, 8.890699 | 730 | 3 | ||||
Locarno | Canegg | control | 46.175529, 8.772595 | 460 | 3 | |||
Minusio | Ronco di Bosco | control | 46.184160, 8.803246 | 660 | 3 | |||
Gordola | Sassone | repeated fires | 46.192194, 8.863041 | 845 | 6 | |||
Locarno | Ai Sassi | repeated fires | 46.176832, 8.776513 | 575 | 6 | |||
Monte Bré | repeated fires | 46.181748, 8.779224 | 890 | 3 | ||||
Ronco sopra Ascona | Buffaga | repeated fires | 46.142842, 8.720671 | 520 | 3 | |||
Brissago | Sciresa | single fires | 46.113481, 8.691522 | 680 | 3 | |||
Gordola | Selvacce | single fires | 46.195802, 8.844349 | 580 | 3 | |||
Locarno | Piodelle | single fires | 46.183951, 8.783164 | 920 | 3 | |||
Minusio | Ronco di Bosco | single fires | 46.185028, 8.805859 | 670 | 3 | |||
Orselina | Gaggio | single fires | 46.182509, 8.790900 | 660 | 3 | |||
Ronco sopra Ascona | Fontana Martina | single fires | 46.138382, 8.717330 | 480 | 3 | |||
Forest Fire II | VS | Leuk | Höhwald | Forest Fire Edge | 46.329863, 7.649166 | 1427 | 6 | |
Forest Fire Center | 46.330463, 7.650454 | 1433 | 6 | |||||
Forest | 46.330736, 7.650295 | 1442 | 6 | |||||
Windthrow I | GL | Schwanden (GL) | Schwanden, GL (Niederntal) | Uncleared | 46.980930, 9.094159 | 1000 | 5 | |
Cleared | 46.983742, 9.095598 | 1000 | 5 | |||||
Forest | 46.981916, 9.090925 | 1000 | 5 | |||||
Windthrow II | AG | Habsburg | Habsburg | Uncleared | 47.469381, 8.204498 | 420 | 3 | |
Cleared | 47.457359, 8.196624 | 430 | 3 | |||||
Brugg | Habsburg | Forest | 47.495900, 8.203981 | 440 | 3 | |||
SO | Messen | Messen | Uncleared | 47.086577, 7.464313 | 535 | 3 | ||
Cleared | 47.088782, 7.461421 | 530 | 3 | |||||
Forest | 47.084293, 7.459738 | 545 | 3 | |||||
AG | Sarmenstorf | Sarmenstorf | Uncleared | 47.318269, 8.257562 | 580 | 3 | ||
Cleared | 47.318752, 8.255356 | 590 | 3 | |||||
Forest | 47.281080, 8.288693 | 715 | 3 |
In early 1990 storm Vivian devastated mainly subalpine spruce forests in the Swiss Alps (Fig.
Ten years after storm Vivian, storm Lothar (late 1999) devastated even larger forest areas all over Europe. This time mainly deciduous forests in the Swiss Central Plateau were affected. Three areas, each with the three types of treatments (intact forest FO, cleared HD, and unsalvaged ID) were secured for long-term investigation. The plots in the region of Sarmenstorf (Fig.
The study area stretched over 15 km along a south-facing slope of the Swiss Alps at elevations between 450 m and 850 m a.s.l. in the region of Locarno. The former coppice stands of chestnut forest (Castanea sativa L.) on acidic soil is prone to forest fire, mainly fast spreading surface fires in late winter. Detailed records of the incidence of fires in that region (
On 13 August 2003, 300 ha of south-exposed forest at Leuk in the dry Central Alpine valley of the Valais fell victim to a large forest fire caused by intentional arson (
Natural impacts such as wildfires or windthrows cannot be planned or organized in space and time, because they happen sporadically and accidentally. Scientific investigations are therefore case studies rather than experiments with true replicates for statistical treatment. Replicates of either windthrow or forest fires take place in different years, show different coverage, or even occupy different regions. Since the projects were located at different elevations and in different regions of Switzerland, several species occurred only in a subsample of the projects. This heterogeneity prevented us from averaging numbers of specimens per treatment and from calculating variance. Also, the abundance of species changed with time after the impact, which cannot be considered as a variable in the present analysis because of the low numbers of specimens collected for most species. Furthermore, spatial autocorrelation of the trap sites (or plots) is a critical issue in unique events, but in the case of repeated space for time substitution (fire in Ticino) we accounted for it and minimized its effect by avoiding spatially structured sampling design (
For each of the four projects, species lists were established. For each species the numbers of specimens collected per treatment (FO, ID, HD) were combined for all years. A species had to be caught at least five times in all four projects to be included in the analyses. Species collected in smaller numbers are listed in Appendix 1 for faunistic considerations only.
To quantify the positive or negative impact of disturbance on a species, the numbers were combined separately for the three treatments FO, ID, and HD for all four projects. The number of trap sites per treatment was balanced. As an indicator for the effect of disturbance in general, the following formula was used for each species: mean (HD+ID) / (mean (HD+ID) +FO). Species with more than 66% are considered winners, those with less than 33% losers.
Species rating in between are considered indifferent to the midterm effects of storms or fires.
In total, 8345 individuals from 79 species were collected. Among the 8285 specimens of the 50 more common species, the most species-rich order was the Neuroptera, numbering 42 species, whereas the most abundant order was the Mecoptera where only five species included a total of 4291 specimens (Table
List of species of families Chrysopidae and Hemerobiidae with five or more specimens collected in the three treatments (FO: intact forest; ID: intermediately disturbed plots; HD: heavily disturbed plots) of the four projects. The grand total gives the sum for all projects. The treatment with the highest number of individuals is highlighted in bold. Two equally high numbers are also highlighted. Single specimens in one or two treatments are not highlighted. Calculation of % in disturbed plots: mean(HD+ID)/(mean(HD+ID)+FO). Values for the Grand Total are considered. Species above 66% are considered winners, those below 33% losers.
Order | Family | Species | % in disturbed plots | Winners / Losers | All Disturbances | Forest Fire | Windthrow | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Grand Total | I. Ticino | II. Leuk | I. Vivian | II. Lothar | ||||||||||||||||||||
N | FO | ID | HD | N | FO | ID | HD | N | FO | ID | HD | N | FO | ID | HD | N | FO | ID | HD | |||||
Neuroptera | Chrysopidae | Chrysopa formosa Brauer | 100% | W | 25 | 17 | 8 | 25 | 17 | 8 | ||||||||||||||
Chrysopa pallens Rambur | 100% | W | 7 | 2 | 5 | 7 | 2 | 5 | ||||||||||||||||
Nineta flava (Scopoli) | 100% | W | 5 | 5 | 5 | 5 | ||||||||||||||||||
Pseudomallada prasinus (Burmeister) | 100% | W | 145 | 76 | 69 | 1 | 1 | 144 | 76 | 68 | ||||||||||||||
Pseudomallada ventralis (Curtis) | 100% | W | 24 | 16 | 8 | 20 | 14 | 6 | 3 | 2 | 1 | 1 | 1 | |||||||||||
Chrysopa perla (L.) | 97% | W | 229 | 4 | 101 | 124 | 5 | 2 | 3 | 130 | 3 | 52 | 75 | 74 | 1 | 38 | 35 | 20 | 9 | 11 | ||||
Chrysoperla lucasina (Lacroix) | 96% | W | 267 | 6 | 124 | 137 | 3 | 1 | 2 | 215 | 3 | 109 | 103 | 8 | 8 | 41 | 3 | 14 | 24 | |||||
Pseudomallada abdominalis (Brauer) | 85% | W | 12 | 1 | 3 | 8 | 4 | 1 | 3 | 4 | 1 | 3 | 4 | 2 | 2 | |||||||||
Pseudomallada flavifrons (Brauer) | 83% | W | 53 | 5 | 38 | 10 | 5 | 4 | 1 | 43 | 5 | 32 | 6 | 5 | 2 | 3 | ||||||||
Cunctochrysa albolineata (Killington) | 78% | W | 8 | 1 | 4 | 3 | 4 | 2 | 2 | 4 | 1 | 2 | 1 | |||||||||||
Chrysoperla carnea (Stephens) | 65% | – | 537 | 113 | 196 | 228 | 204 | 69 | 65 | 70 | 110 | 66 | 44 | 2 | 2 | 221 | 44 | 65 | 112 | |||||
Hypochrysa elegans (Burmeister) | 58% | – | 26 | 7 | 10 | 9 | 2 | 1 | 1 | 24 | 6 | 9 | 9 | |||||||||||
Nothochrysa fulviceps (Stephens) | 43% | – | 5 | 2 | 1 | 2 | 2 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | ||||||||||
Chrysoperla pallida Henry, Brooks, Duelli & Johnson | 40% | – | 139 | 59 | 39 | 41 | 22 | 13 | 5 | 4 | 16 | 2 | 7 | 7 | 101 | 44 | 27 | 30 | ||||||
Chrysotropia ciliata (Wesmael) | 23% | L | 86 | 54 | 16 | 16 | 1 | 1 | 85 | 53 | 16 | 16 | ||||||||||||
Peyerimhoffina gracilis (Schneider) | 13% | L | 13 | 10 | 1 | 2 | 5 | 5 | 1 | 1 | 7 | 4 | 1 | 2 | ||||||||||
N individuals | 1581 | 262 | 649 | 670 | 243 | 84 | 78 | 81 | 730 | 18 | 384 | 328 | 97 | 5 | 42 | 50 | 511 | 155 | 145 | 211 | ||||
N species; with ≥ 5 inds. | 16 | 11 | 16 | 15 | 8 | 4 | 6 | 6 | 14 | 5 | 13 | 12 | 8 | 5 | 3 | 6 | 11 | 7 | 9 | 11 | ||||
Hemerobidae | Megalomus tortricoides Rambur | 100% | W | 5 | 2 | 3 | 2 | 2 | 3 | 2 | 1 | |||||||||||||
Wesmaelius subnebulosus (Stephens) | 83% | W | 142 | 13 | 41 | 88 | 25 | 3 | 5 | 17 | 115 | 10 | 36 | 69 | 1 | 1 | 1 | 1 | ||||||
Wesmaelius malladai (Navas) | 81% | W | 85 | 9 | 34 | 42 | 85 | 9 | 34 | 42 | ||||||||||||||
Micromus paganus (L.) | 81% | W | 47 | 5 | 16 | 26 | 1 | 1 | 11 | 3 | 7 | 1 | 35 | 1 | 9 | 25 | ||||||||
Megalomus hirtus (L.) | 80% | W | 9 | 1 | 4 | 4 | 5 | 2 | 3 | 4 | 1 | 2 | 1 | |||||||||||
Micromus angulatus (Stephens) | 80% | W | 9 | 1 | 5 | 3 | 2 | 1 | 1 | 2 | 1 | 1 | 5 | 4 | 1 | |||||||||
Micromus variegatus (Fabricius) | 78% | W | 73 | 9 | 29 | 35 | 39 | 6 | 11 | 22 | 21 | 2 | 10 | 9 | 3 | 2 | 1 | 10 | 1 | 6 | 3 | |||
Hemerobius lutescens Fabricius | 74% | W | 40 | 6 | 15 | 19 | 8 | 4 | 3 | 1 | 28 | 2 | 12 | 14 | 4 | 4 | ||||||||
Hemerobius humulinus L. | 70% | W | 124 | 22 | 28 | 74 | 98 | 18 | 16 | 64 | 11 | 1 | 4 | 6 | 8 | 3 | 3 | 2 | 7 | 5 | 2 | |||
Drepanepteryx phalaenoides (L.) | 70% | W | 10 | 3 | 7 | 9 | 2 | 7 | 1 | 1 | ||||||||||||||
Hemerobius micans Olivier | 48% | – | 235 | 82 | 100 | 53 | 159 | 53 | 62 | 44 | 4 | 1 | 3 | 38 | 20 | 17 | 1 | 34 | 8 | 18 | 8 | |||
Sympherobius klapaleki Zeleny | 18% | L | 23 | 16 | 6 | 1 | 22 | 15 | 6 | 1 | 1 | 1 | ||||||||||||
Hemerobius pini Stephens | 13% | L | 16 | 14 | 2 | 10 | 9 | 1 | 4 | 4 | 2 | 1 | 1 | |||||||||||
Sympherobius fuscescens (Wallengren) | 13% | L | 8 | 7 | 1 | 4 | 3 | 1 | 2 | 2 | 2 | 2 | ||||||||||||
Sympherobius pellucidus (Walker) | 0% | L | 12 | 12 | 8 | 8 | 3 | 3 | 1 | 1 | ||||||||||||||
N individuals | 838 | 200 | 282 | 356 | 363 | 103 | 103 | 157 | 306 | 48 | 110 | 148 | 106 | 35 | 35 | 36 | 63 | 14 | 34 | 15 | ||||
N species; with ≥ 5 inds. | 15 | 14 | 12 | 13 | 9 | 9 | 6 | 8 | 13 | 10 | 10 | 10 | 12 | 8 | 6 | 8 | 9 | 6 | 5 | 5 | ||||
Order | Family | Species | % in disturbed plots | Winners / Losers | All Disturbances | Forest Fire | Windthrow | |||||||||||||||||
Grand Total | i. Ticino | ii. Leuk | i. Vivian | ii. Lothar | ||||||||||||||||||||
N | FO | ID | HD | N | FO | ID | HD | N | FO | ID | HD | N | FO | ID | HD | N | FO | ID | HD | |||||
Neuroptera | Coniopterygidae | Coniopteryx esbenpeterseni Tjeder | 91% | W | 22 | 1 | 10 | 11 | 12 | 1 | 2 | 9 | 10 | 8 | 2 | |||||||||
Parasemidalis fuscipennis (Reuter) | 90% | W | 20 | 1 | 16 | 3 | 2 | 2 | 1 | 1 | 17 | 14 | 3 | |||||||||||
Coniopteryx borealis Tjeder | 67% | W | 5 | 1 | 3 | 1 | 4 | 1 | 2 | 1 | 1 | 1 | ||||||||||||
Coniopteryx tineiformis Curtis | 57% | – | 66 | 18 | 30 | 18 | 54 | 17 | 21 | 16 | 11 | 1 | 8 | 2 | 1 | 1 | ||||||||
Coniopteryx haematica McLachlan | 50% | – | 6 | 2 | 3 | 1 | 6 | 2 | 3 | 1 | ||||||||||||||
Coniopteryx drammonti Rousset | 33% | – | 10 | 5 | 4 | 1 | 10 | 5 | 4 | 1 | ||||||||||||||
Semidalis aleyrodiformis (Stephens) | 31% | L | 305 | 161 | 105 | 39 | 304 | 160 | 105 | 39 | 1 | 1 | ||||||||||||
Coniopteryx pygmaea Enderlein | 24% | L | 54 | 33 | 10 | 11 | 12 | 4 | 5 | 3 | 33 | 23 | 5 | 5 | 8 | 6 | 2 | 1 | 1 | |||||
Conwentzia psociformis (Curtis) | 0% | L | 6 | 6 | 3 | 3 | 3 | 3 | ||||||||||||||||
N individuals | 494 | 228 | 181 | 85 | 407 | 193 | 144 | 70 | 38 | 28 | 5 | 5 | 47 | 7 | 31 | 9 | 2 | 0 | 1 | 1 | ||||
N species; with ≥ 5 inds. | 9 | 9 | 8 | 8 | 9 | 8 | 8 | 7 | 4 | 4 | 1 | 1 | 5 | 2 | 4 | 4 | 2 | 0 | 1 | 1 | ||||
Myrmeleontidae | Distoleon tetragrammicus (Fabricius) | 94% | W | 32 | 1 | 19 | 12 | 32 | 1 | 19 | 12 | |||||||||||||
Myrmeleon formicarius L. | 75% | W | 12 | 3 | 9 | 12 | 3 | 9 | ||||||||||||||||
N individuals | 44 | 4 | 28 | 12 | 44 | 4 | 28 | 12 | ||||||||||||||||
N species; with ≥ 5 inds. | 2 | 2 | 2 | 1 | 2 | 2 | 2 | 1 | ||||||||||||||||
Raphidioptera | Raphidiidae | Phaeostigma notata (Fabricius) | 91% | W | 311 | 14 | 164 | 133 | 242 | 7 | 130 | 105 | 40 | 6 | 11 | 23 | 29 | 1 | 23 | 5 | ||||
Dichrostigma flavipes (Stein) | 88% | W | 710 | 46 | 419 | 245 | 710 | 46 | 419 | 245 | ||||||||||||||
Puncha ratzeburgi (Brauer) | 60% | – | 16 | 4 | 6 | 6 | 6 | 3 | 2 | 1 | 10 | 1 | 4 | 5 | ||||||||||
N individuals | 1037 | 64 | 589 | 384 | 958 | 56 | 551 | 351 | 50 | 7 | 15 | 28 | 29 | 1 | 23 | 5 | ||||||||
N species; with ≥ 5 inds. | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 1 | 1 | 1 | 1 | ||||||||
Mecoptera | Panorpidae | Panorpa cognata L. | 87% | W | 28 | 2 | 9 | 17 | 27 | 2 | 8 | 17 | 1 | 1 | ||||||||||
Panorpa alpina Rambur | 74% | W | 425 | 64 | 174 | 187 | 59 | 27 | 24 | 8 | 366 | 37 | 150 | 179 | ||||||||||
Panorpa vulgaris Imhoff & Labram | 67% | W | 5 | 1 | 3 | 1 | 4 | 1 | 2 | 1 | 1 | 1 | ||||||||||||
Panorpa communis L. | 61% | – | 1904 | 462 | 673 | 769 | 730 | 240 | 279 | 211 | 128 | 21 | 55 | 52 | 511 | 103 | 189 | 219 | 535 | 98 | 150 | 287 | ||
Panorpa germanica L. | 55% | – | 1929 | 555 | 792 | 582 | 136 | 26 | 56 | 54 | 1209 | 332 | 537 | 340 | 584 | 197 | 199 | 188 | ||||||
N individuals | 4291 | 1084 | 1651 | 1556 | 757 | 242 | 287 | 228 | 268 | 48 | 113 | 107 | 1779 | 462 | 750 | 567 | 1487 | 332 | 501 | 654 | ||||
N species; with ≥ 5 inds. | 5 | 5 | 5 | 5 | 2 | 2 | 2 | 2 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 5 | 3 | 5 | 3 | ||||
All taxa | N individuals | 8285 | 1842 | 3380 | 3063 | 1770 | 622 | 612 | 536 | 2344 | 202 | 1191 | 951 | 2079 | 516 | 873 | 690 | 2092 | 502 | 704 | 886 | |||
N species; with ≥ 5 inds. | 50 | 44 | 46 | 45 | 28 | 23 | 22 | 23 | 39 | 27 | 32 | 30 | 30 | 20 | 18 | 23 | 28 | 17 | 21 | 21 | ||||
N species; incl. «rare» species | 79 | 59 | 60 | 58 | 37 | 26 | 25 | 29 | 56 | 35 | 40 | 35 | 36 | 22 | 21 | 25 | 33 | 19 | 24 | 22 |
A majority of 20 species were most abundant in the intermediately disturbed plots (ID) (bold print in Table
For each species the sum (N) of all specimens collected per treatment (FO, ID, HD) is shown in Table
The impact strength of disturbance is expressed as the percentage of population gain or loss after the fire or windthrow (left column in Table
For most Neuropterida and Mecoptera in Central Europe the basic ecological requirements for larval development and habitat of adults are well known. A majority of species in Switzerland are considered to depend on trees and bushes for development (
The two windthrow projects show that in both coniferous and deciduous forests and both at higher and lower elevations storms enhanced neuropteran diversity and abundance.
While this might be obvious for species living in open natural or rural landscapes, most of the species found in this study are known to be forest dwellers (
Analyzing the neuropteran species composition in different types of forest edges along the vertical vegetation gradient (
In the four projects presented here, the top winners after fire and windthrow (Table
Among the six top winners with 100% in disturbed plots were five green lacewing species. Two of these, Chrysopa formosa and C. pallens, are known to live in open habitats, on herbs or bushes (
It was a surprise to see so many hemerobiid species ranking high up as winners after disturbances, because hemerobiids are known among neuropterologists to live mainly in the forest interior. However, Wesmaelius malladai, Micromus paganus, Megalomus hirtus and M. tortricoides, as well as the abundant Wesmaelius subnebulosus, can also be found in open habitats (
These tiny insects fly only within a small range when disturbed, but sometimes can swarm and move to other habitats in the morning. Parasemidalis fuscipennis, Coniopteryx esbenpeterseni, C. borealis, and C. tineiformis were found mostly in disturbed plots. The rather rare C. haematica and C. drammonti (both only Ticino), as well as the abundant Semidalis aleyrodiformis, showed no clear preferences for disturbed habitats. Losers were C. pygmaea, and especially Conwentzia psociformis.
Only two species of antlions were collected in sufficient numbers to be treated here, and both were favored by the effects of fire. Distoleon tetragrammicus, recorded only in the forest fire project II above Leuk, clearly favored ID plots. The species is known to develop in detritus between tree roots in warm forests (
The two most abundant snake fly species were winners. The most positive impact of disturbance was shown in Phaeostigma notata, a “mantle species” in forest edges (
All four Panorpa species had more specimens in the disturbed plots, but only two were winners with more than 66%. Panorpa cognata, almost exclusively found in the Forest fire I project in Ticino, was about equally frequent in ID (24) and HD (22) plots, with only 2 specimens collected in the intact forest. Like all Panorpa species, P. cognata develops in the soil (
The combined results of our four independent projects suggest that strong natural disturbances such as windthrow or wildfire, which humans consider to be catastrophes, but which have proven to enhance biodiversity in various taxa, are positive also for most Neuroptera, Raphidioptera, and Mecoptera by increasing their abundance in the years after fires and windthrows.
For years of hard field work in often rugged landscapes we are very thankful to Peter Wirz, Doris Schneider Mathis, Beat Fecker†, Franco Fibbioli, and a number of students from the University of Basel and the ETH in Zürich. For collecting permits and logistical support we thank the local authorities and forestry services in the Cantons of Grisons, Aargau, Ticino and Valais. For editing and improving our manuscript we are very thankful to Charles S. Henry.
Species collected with less than 5 specimens. The Hemerobiidae dominated, whereas no rare Mecoptera were collected. Most scarcely collected species were caught in the forest fire II plots above Leuk, followed by the forest fire I plots in Ticino.
Order | Family | Species | Total | Forest Fire I | Forest Fire II | Windthrow I | Windthrow II |
---|---|---|---|---|---|---|---|
Neuroptera | Chrysopidae | Chrysopa viridana Schneider | 1 | 1 | |||
Chrysoperla mediterranea (Hölzel) | 1 | 1 | |||||
Nineta inpunctata (Reuter) | 1 | 1 | |||||
Nineta pallida (Schneider) | 4 | 3 | 1 | ||||
Nineta vittata (Wesmael) | 3 | 2 | 1 | ||||
Hemerobiidae | Drepanepteryx algida (Erichson) | 1 | 1 | ||||
Hemerobius contumax Tjeder | 2 | 1 | 1 | ||||
Hemerobius fenestratus Tjeder | 2 | 1 | 1 | ||||
Hemerobius gilvus Stein | 3 | 3 | |||||
Hemerobius marginatus Stephens | 3 | 2 | 1 | ||||
Hemerobius nitidulus Fabricius | 2 | 2 | |||||
Hemerobius stigma Stephens | 4 | 1 | 3 | ||||
Micromus lanosus (Zeleny) | 1 | 1 | |||||
Psectra diptera (Burmeister) | 1 | 1 | |||||
Sympherobius pygmaeus (Rambur) | 1 | 1 | |||||
Wesmaelius balticus (Tjeder) | 1 | 1 | |||||
Wesmaelius concinnus (Stephens) | 2 | 2 | |||||
Wesmaelius fassnidgei (Killington) | 3 | 3 | |||||
Wesmaelius mortoni (McLachlan) | 1 | 1 | |||||
Wesmaelius nervosus (Fabricius) | 3 | 3 | |||||
Wesmaelius quadrifasciatus (Reuter) | 4 | 4 | |||||
Conioptery-gidae | Coniopteryx arcuata Kis | 1 | 1 | ||||
Coniopteryx lentiae Aspöck & Aspöck | 2 | 2 | |||||
Conwentzia pineticola Enderlein | 2 | 1 | 1 | ||||
Helicoconis pseudolutea Ohm | 1 | 1 | |||||
Myrmeleontidae | Euroleon nostras (Fourcroy) | 2 | 2 | ||||
Osmylidae | Osmylus fulvicephalus (Scopoli) | 2 | 2 | ||||
Raphidioptera | Inocelliidae | Parainocellia bicolor Costa | 3 | 3 | |||
Raphidiidae | Xanthostigma xanthostigma Schummel | 3 | 1 | 2 |