Research Article |
Corresponding author: Zoltán Kenyeres ( kenyeres.zol@gmail.com ) Academic editor: Maria-Marta Cigliano
© 2019 Zoltán Kenyeres, Gábor Takács, Norbert Bauer.
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:
Kenyeres Z, Takács G, Bauer N (2019) Response of orthopterans to macroclimate changes: A 15-year case study in Central European humid grasslands. Journal of Orthoptera Research 28(2): 187-193. https://doi.org/10.3897/jor.28.34102
|
Orthoptera is a good indicator taxon of macroclimate changes. In our case study, we analyzed data of orthopterans, vegetation, and macroclimate collected yearly from 2002 through 2017 in Central European humid grasslands. During the study period, the annual mean temperature increased, while the relative abundance of moderately hygrophilic orthopteran species decreased significantly. On the other hand, the species richness and diversity of the assemblages increased due, mostly, to an increase of graminicole/thermophilic species. According to our results, the conservation of the hygrophilic orthopteran assemblages of Central European humid grasslands under global warming can only be ensured by adequate land management, which can at least mitigate the effects of climate change resulting in the warming and drying of humid habitats.
climate change, Hungary, indicator, landscape management, monitoring, species richness
Global climate change has a significant impact on insect populations and assemblages, both directly (in terms of temperature, precipitation, and seasonal changes) and indirectly (changes in vegetation productivity and quality characteristics, presence and spread of predators and pathogenic organisms) (
Another important phenomenon resulting from global warming is the change in the area boundary of the Orthoptera species according to their cold tolerance (
In the case of European species, climate change, although to a negligible extent when compared to the above, also influences the composition of the orthopteran assemblages through the increase in the chances of survival of the species that overwinter in an imago state (
According to our earlier experiences gained in various regions of Central Europe, the impact of climate change on the orthopteran assemblages is really pronounced in humid grassland habitats (
Study area.—The study area (240 ha) (Fig.
The potential vegetation of Hanság, having previously had hydrological connections with Lake Fertő, which is 30 km away, is moorlands, fens, and marshlands. The drainage of the Hanság area started with the Romans, but the recent hydrological conditions are the result of interventions carried out in the last 100 years. At present, the natural vegetation of the region is restricted to some patches covered by large, mesic grasslands, mosaiced and surrounded by forests, scrubs, and tree plantations. The study area is dominated by intrazonal bog and fen soils. The level of the groundwater is permanently around 1 m. Turf resulting from loosening organic material is about half a meter. The average total duration of annual insolation in the region is 1,900 hours. Mean annual temperature is around 10.1°C. The average annual precipitation is 630 mm (
Experimental design.—The study area included two habitat-mosaics: a large area of contacting parcels dominated by humid grasslands and a smaller one on a comb of the local microrelief with humid and semi-dry grasslands impacted by forest areas (Fig.
Environmental parameters.—Measurements of the main vegetation parameter (average height of the vegetation) were carried out on 3 plots in each sampling site during each orthopteran sampling. The height of the vegetation was measured in cm with the use of a 30 cm wide and 100 cm high white card. The total cover of the vegetation showed only small differences between 90 and 100% cover, so this parameter was not included in the experiment.
Regarding the 2002–2005 interval, we used public macroclimate data (annual mean temperature and precipitation) from the Hungarian Meteorological Service (www.met.hu), but from 2006 we used detailed daily macroclimate data from the Fertő-Hanság National Park Directorate (coordinates of data collection: 47°42'13.55"N, 17°10'40.43"E). We used the following derived parameters as potential background variables: seasonal (winter: December-February, spring: March-May, summer: June-August) annual and mean precipitation; seasonal and annual values of mean, minimum and maximum temperature; seasonal and annual values of mean, minimum and maximum humidity; mean of the monthly active and effective thermic amount (10°C).
Orthoptera.—During the study period (2002–2017), sampling of the Orthoptera took place every June, July, August, and September. Samplings were carried out by sweep-netting within the 50×50 m sampling sites (altogether 448 samples). Species abundances were recorded by 300 sweeps per sampling site. Sweep-netted samples were identified to species level following
The categories defined by
The characterization of the climatic requirements of the species as thermophilic, moderately-thermophilic, mesophilic, moderately-hygrophilic, and hygrophilic were assigned based on
Statistical analysis.—Samples collected in the same sampling sites in the same year were pooled (the number of pooled samples was 112). The pooled samples were used for calculating assemblage variables and statistical analyses. Shannon diversity, species number, relative abundances of detected species, of life forms, and of species-groups with different climatic requirements were calculated and used as Orthoptera variables in the statistical analyses. The mean values of Orthoptera response variables were calculated for comparison.
The Mann-Kendall trend test was used to evaluate temporal trends for both the Orthoptera variables and the macroclimate data. Generalized linear models (response variables: parameters of Orthoptera showed statistically significant decreasing or increasing trends; predictor variables: macroclimate data) were performed. Canonical correspondence analysis based on Orthoptera species data and environmental parameters were also compiled. All statistical analyses were performed using the Past 3.14. software package (
Orthoptera species.—Thirty-four Orthoptera species comprising 11,191 individuals were recorded at the sampling sites. The most prevalent species was Bicolorana bicolor with 1,779 individuals (16%), followed by Chorthippus brunneus with 1,530 individuals (14%), Roeseliana roeselii with 1,317 individuals (12%), Pseudochorthippus parallelus with 1,261 individuals (11%), Conocephalus fuscus with 1,084 individuals (10%), Chorthippus mollis with 1,042 individuals (9%), Chorthippus biguttulus with 742 individuals (7%), Euchorthippus declivus with 392 individuals (4%), Stenobothrus lineatus with 368 individuals (3%), Euthystira brachyptera with 330 individuals (3%), Chrysochraon dispar with 312 individuals (3%), and Mecostethus parapleurus with 194 individuals (2%) (see Appendix
Trends in Orthoptera parameters.—During the study a significant decreasing trend in the relative abundance of moderately-hygrophilic species (Fig.
Trends in macroclimate parameters.—A significant increasing trend was seen in the data of annual mean temperature (Fig.
Effects of macroclimate parameters.—Based on the results of the generalized linear models, annual mean temperature and annual minimum temperature were found to be significant predictors of the relative abundance of graminicole, pratinicole, and thermophilic species, of the species number, and of the diversity of the assemblages. The increase of annual mean temperature and annual minimum temperature were found to be significant predictors of a higher relative abundance of graminicole thermophilic species, a lower relative abundance of pratinicole species, and higher orthopteran species diversity and species richness (Table
Significant results of GLM testing of macroclimate effects on Orthoptera assemblages (* P<0.05; ** P<0.01; *** P<0.001; data for the mean of the monthly active and effective thermic amount and precipitation were log transformed).
Response variable | Predictor variable | Estimate | St.err. | p |
---|---|---|---|---|
Roeseliana roeselii | Mean temp. in summer | -16.634 | 6.146 | ** |
Euchorthippus declivus | Mean temp. in summer | 16.701 | 6.061 | ** |
Graminicole species | Mean temp. in summer | 14.194 | 5.102 | ** |
Annual mean temp. | 14.467 | 6.715 | ** | |
Annual min. temp. | 24.513 | 8.943 | ** | |
Pratinicole species | Annual mean temp. | -18.041 | 7.436 | * |
Annual min. temp. | -28.779 | 8.940 | ** | |
Diversity | Annual mean temp. | 16.789 | 5.733 | ** |
Annual min. temp. | 19.768 | 8.605 | * | |
Mean of the monthly active thermic amount (10°C) | 0.698 | 0.253 | ** | |
Mean of the monthly effective thermic amount (10°C) | 0.932 | 0.344 | ** | |
Mean temp. in summer | 12.109 | 4.757 | * | |
Precipitation in spring | -1.844 | 0.867 | * | |
Species number | Precipitation in spring | -0.052 | 0.025 | * |
Annual mean temp. | 0.508 | 0.158 | ** | |
Thermophilic species | Annual mean temp. | 16.551 | 6.299 | ** |
Annual min. temp. | 22.859 | 8.486 | ** | |
Moderately thermophilic and thermophilic species | Mean of the monthly active thermic amount (10°C) | 0.302 | 0.108 | ** |
Mean of the monthly effective thermic amount (10°C) | 0.411 | 0.145 | ** |
Based on canonical correspondence analysis (CCA) ordination, the relative abundance of graminicole species, thermophilic species, and Euchorthippus declivus were positively correlated with mean temperature in summer (Fig.
CCA ordination based on Orthoptera parameters and environmental parameters (Confus: Conocephalus fuscus; Eucdec: Euchorthippus declivus; gra: graminicole species; mo-ata: mean of the monthly active thermic amount (10°C); mo-eta: mean of the monthly effective thermic amount (10°C); m-ther&ther: moderately-thermophilic and thermophilic species; pra: pratinicole species; rain-spr: rainfall in spring; Roeroe: Roeseliana roeselii; s-r: species richness; tem-m: annual mean temperature; tem-min: annual minimum temperature; tem-sum: mean temperature in summer; the: thermophilic species).
Global warming (
These results suggest that species adapted to cooler climates are more sensitive to climate change (
In our study, the effect of macroclimate change was also detectable at species level. The vertical and horizontal area expansion of thermophilic species as a result of global warming which has been described in several areas (
In conclusion, in the Central European humid grasslands studied, the increase in the annual mean temperature most intensively affected negatively the relative abundance of moderately hygrophilic orthopteran species. The expansion of thermophilic species could also be observed within the study area (they occupied habitats that were not previously suitable for them). The number of species and diversity of the local orthopteran assemblages was higher as the annual average temperature increased. From a conservation point of view, this is not necessarily a positive fact. The orthopteran assemblages of humid grasslands in Central Europe are normally characterized by low diversity, due to the dominance of some hygrophilic and moderately hygrophilic species. According to our results, the conservation of the main characteristics of the Central European humid grasslands, under global warming, can only be ensured by adequate land management.
Due to the causes of global warming, the following suggestions for adequate local land management of humid grasslands in Central Europe are suggested: (1) Spatial mosaic grassland management by changing the patches abandoned throughout the season every year. (2) Exclusion of grazing or, at the most, only in an extensive manner during autumn. (3) Abandonment of mowing in extremely dry years with a warm spring (except for patches affected by invasive plant species). The above options can result in a mitigating effect of the denser vegetation (
The authors would like to express their gratitude to the reviewers for their remarks. We are very grateful to Maria Marta Cigliano, Subject Editor of JOR and to Nancy Morris, Editorial Assistant of JOR, for their work with our manuscript.
Species composition and abundance of the samples pooled per year (LF: life form; EF: ecotype form; arbu: arbusticole; geo: geophilic; gra: graminicole; pra: pratinicole; psps: pseudo-psammophilic; hyg: hygrophilic; mes: mesophilic; m-hyg: moderately-hygrophilic; m-ther: moderately-thermophilic; ther: thermophilic).
Taxon | LF | EF | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Bicolorana bicolor (Philippi, 1830) | pra | m-ther | 34 | 159 | 138 | 112 | 157 | 94 | 94 | 71 | 138 | 192 | 128 | 31 | 24 | 158 | 147 | 102 |
Chorthippus brunneus (Thunberg, 1815) | pra | m-ther | 21 | 130 | 24 | 45 | 50 | 100 | 91 | 96 | 336 | 72 | 206 | 47 | 112 | 104 | 62 | 34 |
Roeseliana roeselii (Hagenbach, 1822) | pra | m-hyg | 46 | 176 | 37 | 44 | 60 | 69 | 70 | 126 | 96 | 174 | 82 | 67 | 64 | 102 | 70 | 34 |
Pseudochorthippus parallelus (Zetterstedt, 1821) | pra | mes | 45 | 8 | 18 | 17 | 104 | 58 | 58 | 51 | 144 | 106 | 116 | 120 | 122 | 114 | 152 | 28 |
Conocephalus fuscus (Fabricius, 1793) | pra | hyg | 21 | 60 | 26 | 29 | 24 | 50 | 51 | 52 | 152 | 134 | 28 | 89 | 134 | 130 | 58 | 46 |
Chorthippus mollis (Charpentier, 1825) | pra | mes | 6 | 56 | 0 | 0 | 72 | 50 | 64 | 102 | 236 | 31 | 108 | 75 | 72 | 66 | 64 | 40 |
Chorthippus biguttulus (Linnaeus, 1758) | pra | m-ther | 4 | 61 | 0 | 0 | 22 | 59 | 60 | 58 | 47 | 64 | 96 | 91 | 78 | 49 | 20 | 33 |
Euchorthippus declivus (Brisout de Barneville, 1848) | gra | ther | 0 | 20 | 18 | 14 | 0 | 28 | 28 | 20 | 6 | 4 | 42 | 52 | 14 | 36 | 64 | 46 |
Stenobothrus lineatus (Panzer, 1796) | pra | m-ther | 2 | 22 | 27 | 26 | 0 | 21 | 22 | 6 | 12 | 47 | 24 | 38 | 60 | 15 | 40 | 6 |
Euthystira brachyptera (Ocskay, 1826) | pra | mes | 11 | 42 | 0 | 0 | 25 | 20 | 19 | 52 | 0 | 50 | 22 | 20 | 30 | 34 | 5 | 0 |
Chrysochraon dispar (Germar, 1834) | pra | m-hyg | 5 | 24 | 3 | 2 | 9 | 6 | 5 | 4 | 13 | 46 | 27 | 18 | 36 | 68 | 26 | 20 |
Mecostethus parapleurus (Hagenbach, 1822) | pra | hyg | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 16 | 47 | 64 | 55 |
Chorthippus dorsatus (Zetterstedt, 1821) | pra | mes | 12 | 8 | 0 | 8 | 0 | 0 | 0 | 14 | 0 | 0 | 8 | 13 | 28 | 25 | 8 | 12 |
Decticus verrucivorus (Linnaeus, 1785) | pra | mes | 6 | 0 | 0 | 0 | 2 | 3 | 2 | 9 | 8 | 13 | 8 | 19 | 2 | 8 | 9 | 10 |
Tettigonia viridissima Linnaeus, 1758 | arbu | mes | 0 | 0 | 8 | 12 | 14 | 12 | 11 | 6 | 2 | 7 | 0 | 0 | 8 | 5 | 4 | 0 |
Calliptamus italicus (Linnaeus, 1758) | gra | ther | 0 | 0 | 0 | 0 | 0 | 15 | 14 | 9 | 0 | 0 | 2 | 6 | 17 | 4 | 0 | 11 |
Conocephalus dorsalis (Latreille, 1804) | pra | hyg | 0 | 0 | 6 | 2 | 0 | 0 | 0 | 0 | 12 | 11 | 4 | 15 | 16 | 2 | 1 | 0 |
Omocestus petraeus (Brisout de Barneville, 1856) | gra | ther | 0 | 0 | 7 | 3 | 0 | 0 | 6 | 13 | 0 | 0 | 21 | 0 | 0 | 0 | 11 | 0 |
Phaneroptera falcata (Poda, 1761) | arbu | ther | 0 | 6 | 0 | 0 | 4 | 3 | 1 | 21 | 10 | 0 | 11 | 0 | 0 | 0 | 0 | 0 |
Omocestus haemorrhoidalis (Charpentier, 1825) | pra | ther | 0 | 21 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 3 | 0 | 2 | 7 | 3 |
Pseudochorthippus montanus (Charpentier, 1825) | pra | hyg | 13 | 21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
Tetrix subulata (Linnaeus, 1758) | geo | hyg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 3 | 0 | 0 | 0 | 0 | 0 |
Ruspolia nitidula (Scopoli, 1786) | pra | m-hyg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 0 | 11 | 0 | 0 | 3 | 5 |
Chorthippus oschei Helversen, 1986 | pra | mes | 10 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Omocestus rufipes (Zetterstedt, 1821) | pra | mes | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 6 | 0 |
Chorthippus dichrous (Eversman, 1859) | pra | mes | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 4 | 2 |
Tetrix tenuicornis (Schalberg, 1893) | pra | ther | 0 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Oecanthus pellucens (Scopoli, 1763) | pra | m-ther | 0 | 0 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Leptophyes albovittata (Kollar, 1833) | arbu | ther | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 |
Stethophyma grossum (Linnaeus, 1758) | pra | hyg | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Aiolopus thalassinus (Fabricius, 1781) | gra | m-ther | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 |
Stenobothrus nigromaculatus (Herrich-Schäffer, 1840) | gra | ther | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 |
Platycleis grisea (Fabricius, 1781) | pra | ther | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 0 |
Platycleis affinis Fieber, 1853 | psps | ther | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |