Research Article |
Corresponding author: Rumyana Kostova ( rkostova@biofac.uni-sofia.bg ) Academic editor: Bela Tóthmérész
© 2023 Rumyana Kostova, Rostislav Bekchiev, Georgi Popgeorgiev, Yurii V. Kornilev.
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:
Kostova R, Bekchiev R, Popgeorgiev G, Kornilev YV (2023) First exhaustive distribution and habitat modelling of Morimus asper (Sulzer, 1776) sensu lato (Coleoptera, Cerambycidae) in Bulgaria. Nature Conservation 53: 39-59. https://doi.org/10.3897/natureconservation.53.104243
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Although Morimus asper, in particular the ssp. funereus, is considered as widespread throughout Bulgaria, a current national mapping of the species is missing. Thus, here we present the first exhaustive study on the distribution of M. asper in Bulgaria. Our research combined 967 georeferenced presence records from scientific publications, from the museum collection of the National Museum of Natural History-BAS, as well as authors’ and citizen scientists’ field observations. An Ecological Niche Model (ENM) was generated using software MaxEnt to identify the potential distribution of the species based on niche suitability. The potentially suitable area for the species was 26% of Bulgaria (29 059 km2). The main predictor variables in M. asper’s ENM assessed by а Jackknife test were the distance to mixed Fagus-Carpinus forests, the mean forest age, the mean tree height, the maximal temperature during the hottest month and the altitude. The percentage contribution to the model of the first two variables was also the largest – respectively 40% and 11%. The remaining variables contributed less than 10% each. Furthermore, we recommend some changes to the current species monitoring methodology to the National Biodiversity Monitoring System.
Cerambycidae, conservation, ecological niche model, Natura 2000, saproxylic
The genus Morimus Brullé, 1832 is represented in Bulgaria by M. asper funereus Mulsant, 1862, M. orientalis Reitter, 1894 and M. verecundus bulgaricus
The first records of M. asper funereus (as Morimus funereus) (Fig.
The first records for Morimus orientalis Reitter, 1894 in Bulgaria were from Stara Zagora, Burgas and Varna by Nedelkov (
The first records of Morimus verecundus bulgaricus came from two close localities: the botanical gardens of Sofia University in Balchik and Varna (
Morimus asper
is a stenotopic, silvicolous, xylodetriticolous, xylophagous and saproxylic species according to its ecological requirements (
The conservation status of the Bulgarian populations of M. asper is favourable for all parameters (FV) in all biogeographical regions, according to the reporting under Art. 17 of the Habitats Directive 92/43/EEC in 2013 (for the period 2007–2012) and in 2019 (for the period 2013–2018) with the exception of Unfavourable-Unsatisfactory status (U1) for the perspectives and overall assessment in the Continental region in the 2013 report. The following major threats to the species were identified: use of plant protection chemicals in forestry: forest fires, felling, and the removal of dead wood. The species has been included as potentially occurring in the Standard Data Forms from 159 Natura 2000 zones in Bulgaria, according to the latest
Regardless of many publications providing data on the habitat preferences of M. asper, to date little is known about the complexity of factors determining its distribution. Environmental niche models are a useful tool for estimating the real and potential species habitats. Such models for M. asper were made only for Slovenia and Italy (
In that context, our research aimed to update and for the first time to provide resolution to the current distribution of M. asper in Bulgaria and the main factors for its presence at a given locality in Bulgaria based on а MaxEnt’s Ecological Niche Model.
The territory of Bulgaria (43°N, 25°E) covers ca. 111 000 km2 and encompasses heterogenous eco-physiographic conditions and habitats. Elevation ranges from 0 to 2 925 m asl., with highly diverse relief, stretching from extensive plains and lowlands to subalpine and alpine mountains. Five hypsometric belts consist of lowlands (0–200 m, 31.4% of the territory), hills (200–600 m, 41%), low mountains (600–1 000 m, 15.3%), mountains of average height (1 000–1 600 m, 9.8%) and high mountains (> 1 600 m, 2.5%) (
To generate maps of the known current distribution and the predictive model of the distribution of M. asper subspecies in Bulgaria, we compiled into a georeferenced database the presence records from the following sources:
All available records were used to map the current distribution of M. asper on a 10 km × 10 km MGRS grid. Only data from the field studies and citizen science, which were with high level of accuracy (up to 20 m) were used in the Ecological Niche Modelling.
The Ecological Niche Model (ENM) was generated using software MaxEnt 3.4.1 (
To minimize collinearity in the ENM, the correlated environmental factors and autocorrelated points were omitted from the model calculations. For that purpose, we generated 100 000 random points across the geographic scope and associated to them the corresponding values of all variables, and then tested them by Spearman Rank Order Correlations (Statistica v.10; StatSoft, Tulsa, OK, USA), setting |r| = 0.7 as a threshold. Then, we generated a preliminary model with 10 replicates, for which we included all environmental factors. For the setup of the final ENM, factors were either kept or removed based on the following: the factor with the highest percent contribution (PC) from the preliminary model was retained and all its correlated factors were removed; of the remaining factors, the one with the second highest PC was retained and all the factors correlated with it were removed; and so on, until all factors were considered (
Average Percent contribution (%) and Permutation importance (PI) of uncorrelated variables, estimated by MaxEnt’s Ecological Niche Model of Morimus asper in Bulgaria.
Environmental variable (Unit) | Unit | Percent contribution | Permutation importance | ||
---|---|---|---|---|---|
Average | Min-Max | Average | Min-Max | ||
Fagus -Carpinus forest, distance to | m | 40.02 | 37.34–43.73 | 22.28 | 17.41–25.98 |
Average forest age | year | 11.14 | 8.8–13.54 | 2.23 | 1.21–3.49 |
Other deciduous forest, distance to | m | 8.23 | 7.49–9.03 | 8.29 | 1.35–2.27 |
Average tree height | m | 6.78 | 3.85–9.73 | 5.18 | 3.86–6.90 |
Precipitation seasonality (Coefficient of Variation) (Bio15) | % | 5.83 | 3.92–7.21 | 22.19 | 19.95–25.26 |
Elevation | m above sea level | 5.48 | 4.23–6.89 | 4.86 | 3.88–6.07 |
Precipitation of coldest quarter (Bio19) | mm | 4.20 | 3.16–5.25 | 2.34 | 1.66–3.29 |
Precipitation of wettest quarter (Bio16) | mm | 3.77 | 1.90–5.25 | 11.49 | 9.21–13.88 |
Riparian forest, distance to | m | 2.88 | 2.29–3.44 | 2.55 | 1.62–3.61 |
Min temperature of coldest month (Bio06) | °C | 2.68 | 1.70–3.94 | 2.18 | 1.10–3.65 |
Mean temperature of driest quarter (Bio09) | °C | 2.49 | 1.17–4.19 | 7.90 | 6.14–9.64 |
Quercus forest, distance to | m | 1.54 | 1.09–2.16 | 1.81 | 6.48–9.77 |
Aspect | ° | 1.51 | 1.12–2.59 | 2.20 | 1.21–3.10 |
Precipitation of driest quarter (Bio17) | mm | 1.32 | 0.10–2.58 | 0.36 | 0.01–0.67 |
Max temperature of warmest month (Bio05) | °C | 1.01 | 0.42–3.98 | 1.80 | 0.47–4.07 |
Mean temperature of warmest quarter (Bio10) | °C | 0.98 | 0.36–2.11 | 2.20 | 0.80–6.13 |
Mean diurnal range (Mean of monthly (max temp – min temp)) (Bio02) | °C | 0.14 | 0.00–1.58 | 0.13 | 0.00–0.40 |
Out of 768 points of M. asper presence, 546 remained for modelling. Removed points were either within 250 m of each other or within settlements. Although M. asper might occur naturally in settlements, especially those with old parks and old trees, we cannot be sure if the recorded beetles were not transported with cut wood, and thus we removed these records to avoid seriously distorting the model towards non-natural habitats. For all models, we used the following settings: logistic output to describe the probability of presence, calibrated using randomly 75% of the available records as training data, and the remaining 25% were used for model validation as test data; 100 000 randomly selected background points as pseudoabsence; maximum iteration was 500; replicated run type was cross-validation; 100 replicates were generated to get the average prediction. The outputs (in ASCII format) were processed and visualised using QGIS. We used the average result as a balance between a highly restricted and a highly inflated model, so that it can be optimally used for making management decisions.
The Jackknife procedure was used to indicate the most informative variables. Response curves to all variables in the model were obtained. The resultant “mean values” ENM was thresholded into unsuitable/suitable space using the “Maximum test sensitivity plus specificity logistic threshold” calculated by MaxEnt, as max SSS is one of the best threshold selection methods for presence/absence data (
Descriptive statistics of the environmental factors with highest influence on the M. asper presence were calculated using software SigmaPlot 12 (Systat Software, San Jose, CA).
To validate the obtained ENM for M. asper, we collected 77 presence points available at GBIF (24 record with accuracy under 20 m) and field data collected in 2022 from the SmartBirds.org database (53 records) (Fig.
We generated the first ENM for Morimus asper s.l. in Bulgaria as well as compiled the first mapping of its recent distribution in Bulgaria (Fig.
The ENM predictive power was relatively high with AUC value (Area Under the Curve): 0.83 (SD = 0.06). The threshold for unsuitable/suitable area was 0.34.
Potentially suitable habitats for M. asper occupy 26% of Bulgaria (Fig.
Overall, 50% of suitable territories, and 11% of the highest suitability habitat areas, fall within the terrestrial protected areas of the NATURA 2000 network in Bulgaria. An essential part of the territory of all National and Natural Parks in Bulgaria is suitable for M. asper presence according to the ENM (57% of their territory) which represents 9% of the total suitable area.
Both the percent contribution to the model and the Jackknife procedure were used in determining the importance of individual variables to the model. Both analyses showed as the most important predictors contributing to the model the distance to Fagus-Carpinus forest (40% contribution) and the average forest age (11% contribution). The remaining environmental factors contributed less than 10% each (Table
Jackknife results of MaxEnt ENM for Morimus asper in Bulgaria – average gain and area under the curve (AUC) on training and test data between models built without and only with a given variable. Variables that are more closely related to the distribution of the species are indicated by smaller differences in both gain and AUC.
The mean values and variation in the main ecological factors contributing to the ENM of M. asper are shown in Table
The marginal response curves of the environmental factors showed that the probability of the species occurrence is maximal when the distance to Fagus-Carpinus forest is minimal, and sharply decreases with an increase in the distance. A positive relation between probability of occurrence and forest age and tree height was observed, as the probability sharply increases after 50–60 years forest age, after which the probability remains constant. The same tendency was observed for the average tree height factor – the probability increases abruptly up to 15 m, and more smoothly to 40 m, after which it remains constant. The probability of occurrence was maximal when maximum temperature of the warmest month ranges between 18–25 °C, most probable at 22 °C corresponding to the mountains, another probability maximum is at 30 °C corresponding to the lowland habitats. The response curve of the elevation showed that the probability of the species occurrence increases to 1 000 m, subsequently it gradually decreases, and after 2 000 m asl it is practically zero (Fig.
Descriptive statistics of the environmental variables with highest influence on the suitability of the habitats according to the ENM at the points of Morimus asper registrations.
Environmental variable (Unit) | Mean | Std Dev | Std. Error | Min | Max | Median |
---|---|---|---|---|---|---|
Fagus -Carpinus forests, distance to (m) | 504.85 | 1286.66 | 66.71 | 0.00 | 14802.00 | 56.57 |
Average forest age (year) | 54.42 | 46.11 | 2.39 | 0.00 | 170.00 | 55.00 |
Average tree height (m) | 12.00 | 8.83 | 0.46 | 0.00 | 32.00 | 14.00 |
Maximum temperature at the warmest month (°C) | 23.88 | 2.43 | 0.13 | 11.35 | 29.42 | 24.15 |
Elevation (m asl) | 668.65 | 391.22 | 20.28 | 1.00 | 1663.0 | 645.00 |
Variation of the main environmental factors contributing to the ENM of Morimus asper in Bulgaria.
Overall, 84% of the records used for validating the ENM fall within predicted suitable habitats (57% of all) or were less than 250 m to the nearest (27% of all).
The ENM of M. asper showed old growth forests dominated by Fagus sp. and Carpinus sp. with tall trees as the most suitable habitats for the species in Bulgaria, followed by other deciduous forests with much lower probability and riparian forests, in a broad altitudinal range (0–2 000 m asl). The highest probability of species occurrence was connected also with moderate air temperatures – maximum at 22 °C in the mountains, and 30 °C in the plains. The main predictors in the obtained ENM for M. asper in Bulgaria were different but in accordance with those obtained by
The generated ENM presented prominent ecological continuity of the suitable habitats in Central and Southwestern Bulgaria, and almost no continuity in northern and eastern Bulgaria with significant fragmentation of the suitable habitats. Special attention must be paid to the Black Sea Coast, where large patches of lowland and riparian forests still exist but are fragmented and under high threat because of anthropogenic pressures. The M. asper populations in those areas are quite isolated due to the low dispersal ability of the beetle (
The isolation of the suitable habitats in Strandzha Mts. according to the ENM gives a reasonable explanation for the distribution of the M. asper orientalis in Bulgaria, limited to that area. In addition, most of the records were from oriental beech woods in contrast to the statement of
The suitable habitats in the vicinity of the only known locality of M. asper verecundus bulgaricus are also highly isolated, possibly greatly limiting the subspecies’ ability to disperse.
A large area of the potential optimal habitats falls within existing protected areas: National and Natural parks, as well as terrestrial NATURA 2000 sites, which theoretically provides sufficient capacity to protect M. asper. To ensure high genetic diversity and effective population size, however, their connectivity must be maintained through functioning, undisturbed biocorridors. Ensuring the continuity of optimal habitats for M. asper would allow the species to migrate and occupy new suitable habitats where it is not currently found. A measure in that direction was the proposed creation of “stepping stone” habitats for saproxylic beetles between larger conservation territories (parks, reserves, etc.), for example by retaining dead wood in managed forests along the designed dispersal routes (
The favourable conservation status of M. asper populations in Bulgaria, assessed during the preparation of the specific reports under Art. 17 of the Habitat Directive in 2013 and 2019, should be maintained with the necessary measures to reduce the threats to the species, mainly concerning forest management practices. The availability of suitable dead wood is crucial for all saproxylic species and even a temporary lack could bring rapid population collapse (
An important step for the protection of suitable habitats for Morimus and the sustainable use of the forest resources in Bulgaria that has been taken is to FSC certify all state forestries. Unfortunately, the actual implementation of the measures related to this certificate are still not fully implemented, a fact that we have observed often during our field work. Another problem observed so far is the carrying out of the necessary monitoring activities of the insect species included as criteria in this certification, as well as the activities of carrying out the mandatory regular monitoring and reporting under Art.17 of the Habitat Directive to the EC. The monitoring activities conducted to date have not been regular and comprehensive. One of the main reasons for that is mainly the lack of capacity and human resources, and the resulting excessive engagements of scientists and forest workers, another is the still poorly developed citizen science in Bulgaria. Citizen science is a useful approach to solving this problem, accelerating the process of gathering occurrence data (
In addition, we recommend changes in the monitoring scheme for M. asper of the National Biodiversity Monitoring System in Bulgaria. They include a shift from quantitative to qualitative monitoring with bigger sample size. The current methodology consists of walking along a transect (1 km long, 5 m wide) and counting the number of live individuals of the species for the given transect (
To fill the gap in the scientific capacity and to develop citizen science in Bulgaria, it is necessary for a broad educational campaign to be carried out in partnership between the Bulgarian Ministry of Environment and Waters, the Executive Environment Agency, and scientific and educational institutions. Only this can ensure reliable forest certification and the implementation of measures for the protection of forest habitats and forest specialist species, including Morimus asper.
We thank all colleagues, friends, and members of the Bulgarian Facebook group “The insects and the entomologists” for sharing Morimus asper occurrence data.
The authors have declared that no competing interests exist.
No ethical statement was reported.
The research was supported by the project “Cybertaxonomic approach to phylogenetic studies of model invertebrate genera (Invertebrata, Arachnida, Insecta) clarifying the problems of origin, formation and conservation of the Invertebrate Fauna of the Balkan Peninsula” (National Science Fund, Ministry of Education and Science of the Republic of Bulgaria, Grant KP-06Н21/1-17.12.2018).
Conceptualization: RK, RB. Data curation: RB. Formal analysis: GP, RK. Investigation: RB. Methodology: GP, YVK, RK. Resources: RB. Software: RK, GP. Validation: YVK, GP. Visualization: GP, RK. Writing – original draft: YVK, RK, RB. Writing – review and editing: GP, RB, YVK, RK.
Rumyana Kostova https://orcid.org/0000-0002-8119-3275
Rostislav Bekchiev https://orcid.org/0000-0001-6143-0184
Georgi Popgeorgiev https://orcid.org/0000-0002-7625-8898
Yurii V. Kornilev https://orcid.org/0000-0002-8596-8728
All of the data that support the findings of this study are available in the main text or Supplementary Information.
Morimus asper occurrence in Bulgaria data set
Data type: occurences
Explanation note: Data set with locations of Morimus asper in Bulgaria. Includes occurrence data from literature, field studies and citizen science incorporated into the SmartBirds database, as well as occurrence data from GBIF used to create a distribution map of the species, M. asper Ecological Niche Model and its verification.