Research Article |
Corresponding author: Marina Vilenica ( marina.vilenica@gmail.com ) Academic editor: Lyndall Pereira-da-Conceicoa
© 2020 Marina Vilenica, Mladen Kerovec, Ivana Pozojević, Zlatko Mihaljević.
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:
Vilenica M, Kerovec M, Pozojević I, Mihaljević Z (2020) Mayfly response to different stress types in small and mid-sized lowland rivers. ZooKeys 980: 57-77. https://doi.org/10.3897/zookeys.980.54805
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Freshwater ecosystems are endangered worldwide by various human pressures, resulting in dramatic habitat and species loss. Many aquatic invertebrates respond to disturbances in their habitat, and mayflies are among the most sensitive ones. Therefore, we investigated mayfly response to anthropogenic disturbances at 46 study sites encompassing slightly to heavily modified small and mid-sized lowland streams and rivers. Mayfly nymphs were sampled between April and September 2016 using a benthos hand net. A total of 21 species was recorded, with Cloeon dipterum (Linnaeus, 1761) being the most frequently recorded one. Nevertheless, the taxa richness was rather low per site, i.e., between zero and nine. Assemblage structure had a high share of lower reaches and lentic (potamic and littoral) elements, and detritivores (gatherers/collectors and active filter feeders). This indicates that hydromorphological alterations lead to assemblage “potamisation” in small and mid-sized rivers. More mayfly species were related to higher oxygen concentration and lower water temperature, abundance of aquatic vegetation and total organic carbon. Additionally, the assemblage diversity and abundance were negatively associated with increasing intensive agriculture area at the catchment scale. This study confirms mayfly bio-indicative properties, i.e., their sensitivity to alterations of their habitat and pollution, but also provides new data related to mayfly response to the impacted environment. Those data can be used for management and protection activities of lowland rivers and their biota according to the requirements of the European Water Framework Directive.
Environmental stress, Ephemeroptera, feeding guilds, longitudinal zonal associations, pollution
Freshwater ecosystems represent an indispensable resource of water supplies for humans (
As freshwater organisms live almost continuously in the aquatic environment, they clearly respond to all those environmental stresses (
The study encompassed 46 lotic slow-flowing study sites (Tables
Map of the 46 study sites located in the Pannonian lowland ecoregion in Croatia. *Legend: Study sites: 1 Bednja, Stažnjevec village 2 Ždalica, Ždala village 3 Krapina, Bedekovčina village 4 Krapina, Zaprešić town 5 Krapina, Kupljenovo village 6 Krapinica, Zabok town 7 Krapinica, Krapina town 8 Rajna, between Vrbovec town and Lonjica village 9 Zlenin, Vrbovec village 10 Vukšinac, Stubice village 11 Deanovac lateral canal, near Ivanić Grad town 12 Reka, Lovrečan village 13 Brodec, Peklenica village 14 Lateral canal Mihovljan, Čakovec town 15 Poloj, between Legrad and Đelekovec villages 16 Zdelja, Molve village 17 Lonja, near Ivanić Grad town 18 Jalšovnica, Ferketinec village 19 Bošćak, Domašinec village 20 Bistrec, Rakovnica I 21 Bistrec, Rakovnica II 22 Zelina, Božjakovina village 23 Connecting canal Zelina-Lonja-Glogovnica-Česma, Poljanski lug village 24 Glogovnica, before mouth to Česma 25 Česma, Obedišće village 26 Česma, Pavlovac village 27 Česma, Sišćani village 28 Česma, Narta village 29 Sutla, Luke Poljanske village 30 Rogostrug, Podravske Sesvete village 31 Kosteljina, Jalšje village 32 Horvatska, Veliko Trgovišće village 33 Bistra Koprivnička, Molve village 34 Toplica, Sokolovac village 35 Toplica, downstream from Daruvar town 36 Toplica, upstream from Daruvar town 37 Luka, Vrbovec town 38 Sewage collector, Prelog town 39 Gornji potok, between Selnica and Praporčan villages 40 Kotoribski kanal, Kotoriba village 41 Črnec, Gornji Dubovec vilage 42 Gostiraj, Ježdovec village 43 Tomašica, Tomašica village 44 Jalšovec, between Bukovje and Štrigova villages 45 Murščak, between Domašinec and Stara Straža villages 46 Glogovnica, Koritna village.
List of the 46 degraded lowland streams and rivers investigated in Croatia, with environmental parameters measured at the time of macroinvertebrate sampling. Codes of the study sites are as in Fig.
Study site | River size | Width | Depth | HYMO Group | Coordinates (N/E) | Tw | Oxy | Con | pH | Dominant substrates | |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | S | 6.0 | 1.5 | 1 | 46.24 | 16.17 | 14 | 10.09 | 503 | 7.96 | Lithal, fine sediment, phytal |
2 | S | 3.0 | 0.8 | 1 | 46.17 | 17.15 | 19 | 3.64 | 718 | 7.54 | Fine sediment, phytal |
3 | S | 8.0 | 1.0 | 1 | 46.04 | 15.99 | 13 | 9.96 | 556 | 8.15 | Fine sediment, phytal |
4 | M | 18.0 | 2.0 | 3 | 45.83 | 15.82 | 16 | 9.02 | 605 | 8.16 | Fine sediment, phytal |
5 | M | 16.0 | 30.0 | 3 | 45.93 | 15.82 | 16 | 8.05 | 628 | 8.13 | Lithal, fine sediment, phytal |
6 | M | 8.0 | 1.0 | 3 | 46.03 | 15.91 | 19 | 8.77 | 710 | 8.05 | Lithal, fine sediment |
7 | S | 6.0 | 0.4 | 1 | 46.15 | 15.88 | 13 | 8.97 | 574 | 8.17 | Lithal, fine sediment, phytal |
8 | S | 5.0 | 0.5 | 2 | 45.86 | 16.33 | 16 | 8.20 | 796 | 8.50 | Fine sediment, phytal |
9 | S | 3.0 | 0.3 | 2 | 45.86 | 16.40 | 15 | 3.92 | 702 | 7.64 | Fine sediment, phytal |
10 | S | 5.0 | 0.4 | 2 | 45.98 | 15.94 | 17 | 10.20 | 484 | 8.15 | Fine sediment |
11 | S | 4.0 | 0.6 | 3 | 45.67 | 16.42 | 11 | 6.02 | 564 | 7.85 | Fine sediment, phytal |
12 | S | 3.0 | 0.4 | 1 | 46.05 | 16.07 | 13 | 10.25 | 545 | 8.47 | Lithal, fine sediment |
13 | S | 2.5 | 0.5 | 2 | 46.50 | 16.47 | 16 | 9.81 | 446 | 7.82 | Fine sediment, phytal |
14 | S | 1.5 | 0.3 | 1 | 46.40 | 16.45 | 14 | 7.81 | 316 | 7.60 | Lithal, phytal |
15 | S | 3.0 | 0.5 | 1 | 46.27 | 16.86 | 21 | 6.90 | 982 | 7.52 | Fine sediment, phytal |
16 | S | 1.5 | 0.3 | 1 | 46.12 | 17.03 | 25 | 9.20 | 885 | 9.20 | Fine sediment, phytal |
17 | S | 6.0 | 1.0 | 1 | 45.69 | 16.39 | 11 | 8.12 | 625 | 8.12 | Fine sediment, phytal |
18 | S | 2.0 | 0.5 | 1 | 46.48 | 16.51 | 14 | 9.55 | 332 | 7.58 | Fine sediment, phytal |
19 | S | 5.0 | 0.8 | 2 | 46.43 | 16.60 | 16 | 7.50 | 391 | 7.48 | Fine sediment, phytal |
20 | S | 4.0 | 1.0 | 2 | 46.37 | 16.69 | 16 | 9.89 | 735 | 8.19 | Fine sediment, phytal |
21 | S | 7.0 | 1.0 | 1 | 46.34 | 16.81 | 17 | 8.80 | 608 | 8.18 | Fine sediment, phytal |
22 | M | 4.0 | 0.8 | 3 | 45.82 | 16.28 | 14 | 8.41 | 592 | 8.22 | Lithal (phytal sporadically) |
23 | M | 10.0 | 0.8 | 3 | 45.81 | 16.41 | 12 | 10.70 | 616 | 8.48 | Fine sediment, phytal |
24 | M | 15.0 | 2.0 | 3 | 45.78 | 16.49 | 11 | 6.60 | 610 | 7.98 | Lithal, fine sediment |
25 | M | 10.0 | 1.0 | 3 | 45.63 | 16.56 | 12 | 5.75 | 581 | 8.02 | Fine sediment, phytal |
26 | M | 6.0 | 1.0 | 3 | 45.72 | 17.04 | 21 | 3.58 | 429 | 7.52 | Fine sediment, phytal |
27 | M | 12.0 | 1.2 | 3 | 45.83 | 16.64 | 25 | 5.05 | 396 | 7.70 | Lithal, phytal |
28 | M | 14.0 | 1.0 | 3 | 45.84 | 16.82 | 23 | 6.75 | 401 | 7.78 | Fine sediment, phytal |
29 | M | 9.0 | 0.6 | 3 | 46.16 | 15.61 | 16 | 8.29 | 553 | 8.16 | Fine sediment |
30 | M | 6.0 | 1.5 | 2 | 46.00 | 17.25 | 17 | 9.17 | 551 | 7.77 | Fine sediment, phytal |
31 | M | 5.0 | 1.5 | 3 | 46.04 | 15.85 | 21 | 8.85 | 713 | 7.97 | Fine sediment, phytal |
32 | M | 2.5 | 0.4 | 3 | 46.00 | 15.86 | 19 | 8.78 | 732 | 8.02 | Fine sediment, phytal |
33 | M | 10.0 | 1.5 | 3 | 46.12 | 17.03 | 20 | 7.87 | 588 | 7.62 | Fine sediment, phytal |
34 | M | 4.0 | 0.5 | 3 | 45.58 | 17.04 | 24 | 8.30 | 461 | 8.04 | Fine sediment |
35 | S | 5.0 | 0.5 | 1 | 45.59 | 17.19 | 22 | 6.52 | 539 | 7.65 | Fine sediment, phytal |
36 | S | 4.5 | 0.3 | 1 | 45.61 | 17.24 | 18 | 8.95 | 465 | 8.23 | Lithal, fine sediment |
37 | S | 1.5 | 0.2 | 1 | 45.88 | 16.39 | 22 | 8.93 | 207 | 8.15 | Fine sediment |
38 | S | 2.0 | 0.2 | 1 | 46.32 | 16.62 | 12 | 5.22 | 524 | 7.52 | Fine sediment |
39 | S | 1.5 | 1.0 | 1 | 46.52 | 16.43 | 16 | 8.29 | 629 | 7.77 | Lithal, fine sediment, phytal |
40 | S | 3.5 | 0.6 | 2 | 46.34 | 16.82 | 17 | 5.70 | 574 | 5.68 | Phytal |
41 | S | 2.0 | 0.4 | 2 | 46.01 | 16.45 | 25 | 1.53 | 619 | 7.85 | Fine sediment, phytal |
42 | S | 2.5 | 0.3 | 1 | 45.78 | 15.84 | 20 | 6.90 | 670 | 7.85 | Fine sediment, phytal |
43 | S | 2.5 | 0.3 | 2 | 45.60 | 16.99 | 20 | 4.52 | 601 | 7.75 | Lithal, fine sediment |
44 | S | 2.0 | 0.5 | 1 | 46.51 | 16.31 | 12 | 8.80 | 740 | 8.45 | Lithal, fine sediment |
45 | S | 3.0 | 0.7 | 2 | 46.45 | 16.59 | 14 | 3.50 | 541 | 7.36 | Phytal |
46 | M | - | - | 3 | 45.87 | 16.49 | 9 | 6.68 | 578 | 7.77 | Fine sediment, phytal |
The study area is located in the Croatian part of the Pannonian lowland ecoregion (ER11) (
Mayfly nymphs were collected together with other macroinvertebrates (AQEM protocol-
In the laboratory, subsampling was done to reduce the effort for sorting and identification. At least 1/6 of the sample was sorted until the minimum targeted number of 700 individuals was reached. The rest of the sample was also inspected searching for macroinvertebrates which are not part of subsample analysed. Mayflies were identified to the lowest possible taxonomical level (very juvenile and/or damaged individuals were identified only to the genus or family level) using
At each study site, the following environmental parameters were measured at the time of macroinvertebrate sampling: water temperature, dissolved oxygen concentration (using the oximeter WTW Oxi 330/SET), conductivity (with the conductivity meter WTW LF 330), pH (using the pH-meter WTW ph 330), mean channel width and maximum water depth (using a hand meter on approximately 100 meter long reach of specific site) (Table
List of the 46 degraded lowland streams and rivers investigated in Croatia, with environmental parameters presented as mean value of 12 composite samples collected over a one-year period (January–December 2016) (including standard deviation, SD). Codes of the study sites are as in Fig.
Study site | NH4+ | NO3- | TN | PO43- | TOC | BOD5 | CODMn |
---|---|---|---|---|---|---|---|
mean/SD | mean/SD | mean/SD | mean/SD | mean/SD | mean/SD | mean/SD | |
1 | 0.373/0.199 | 1.090/0.282 | 1.940/0.454 | 0.062/0.030 | 4.037/0.531 | 2.308/0.915 | 3.942/1.033 |
2 | 0.014/0.008 | 0.100/0.077 | 0.466/0.115 | 0.016/0.016 | 5.235/2.197 | 2.531/2.294 | 4.463/2.286 |
3 | 0.224/0.142 | 1.033/0.235 | 1.788/0.332 | 0.094/0.053 | 3.429/0.952 | 2.192/0.960 | 3.567/1.120 |
4 | 0.178/0.237 | 1.284/0.438 | 1.928/0.473 | 0.050/0.035 | 3.671/1.026 | 1.767/1.314 | 3.733/1.700 |
5 | 0.316/0.268 | 1.227/0.323 | 2.073/0.449 | 0.065/0.037 | 3.671/1.002 | 2.150/1.218 | 3.933/1.522 |
6 | 0.437/0.221 | 1.392/0.294 | 2.443/0.496 | <0.025 | 4.292/1.456 | 4.969/1.585 | 6.636/1.624 |
7 | 0.920/0.556 | 1.179/0.202 | 2.95/0.950 | <0.025 | 4.917/1.575 | 6.663/1.021 | 8.878/2.742 |
8 | 0.460/0.533 | 0.948/0.793 | 1.772/1.328 | 0.333/0.137 | 6.297/1.451 | 3.153/1.441 | 8.469/1.714 |
9 | 3.240/3.931 | 1.110/0.977 | 6.379/6.053 | 1.952/2.799 | 9.971/4.071 | 3.028/1.937 | 10.308/2.030 |
10 | 0.061/0.036 | 1.038/0.424 | 1.517/0.799 | <0.025 | 3.292/1.515 | 4.039/2.120 | 5.772/3.010 |
11 | 0.333/0.413 | 1.701/1.479 | 2.527/2.185 | 0.215/0.091 | 7.608/1.688 | 3.019/1.209 | 7.992/2.235 |
12 | 0.256/0.169 | 1.365/0.570 | 2.032/0.552 | <0.025 | 2.233/0.463 | 3.395/0.460 | 4.822/1.926 |
13 | 0.279/0.112 | 2.600/0.553 | 3.775/0.758 | 0.046/0.058 | 1.874/0.569 | 1.525/0.652 | 1.898/0.894 |
14 | 1.599/1.792 | 2.304/1.205 | 5.025/2.419 | 0.340/0.269 | 5.582/1.108 | 2.683/0.878 | 4.694/2.138 |
15 | 0.158/0.188 | 0.540/0.286 | 1.080/0.130 | 0.058/0.057 | 4.561/1.100 | 1.880/1.132 | 5.070/1.630 |
16 | 0.513/1.238 | 1.416/0.853 | 2.880/1.608 | 0.141/0.141 | 5.922/4.891 | 1.650/1.297 | 5.147/4.094 |
17 | 0.306/0.264 | 1.852/1.071 | 2.370/1.135 | 0.310/1.148 | 7.352/1.694 | 3.240/1.087 | 8.449/2.717 |
18 | 0.018/0.005 | 3.918/0.865 | 5.250/1.091 | 0.010/0.008 | 2.095/0.777 | 1.033/0.473 | 2.085/1.088 |
19 | 0.064/0.103 | 1.317/2.013 | 1.694/3.011 | 0.020/0.022 | 1.333/4.571 | 1.317/0.709 | 1.338/0.543 |
20 | 0.276/0.781 | 6.541/1.196 | 8.192/1.483 | 0.080/0.207 | <1.000/0.760 | 1.146/1.175 | 0.936/0.495 |
21 | 0.053/0.096 | 3.478/0.721 | 4.683/1.069 | 0.018/0.021 | 1.237/0.365 | 1.183/0.629 | 1.097/0.507 |
22 | 0.157/0.153 | 1.873/0.717 | 2.260/0.861 | 0.136/0.056 | 3.633/1.140 | 2.303/0.630 | 4.584/1.491 |
23 | 0.373/0.379 | 1.700/0.728 | 2.370/1.001 | 0.343/0.183 | 5.388/1.283 | 2.998/1.118 | 6.672/2.563 |
24 | 0.574/0.494 | 1.938/1.099 | 3.702/1.599 | 0.333/0.303 | 5.489/2.591 | 5.600/3.252 | 10.933/4.000 |
25 | 0.487/0.232 | 1.503/0.881 | 2.744/0.978 | 0.171/0.116 | 8.458/2.809 | 3.895/0.698 | 10.949/5.439 |
26 | 0.067/0.099 | 0.796/0.221 | 1.170/0.446 | 0.105/0.063 | 6.230/3.294 | 4.178/2.417 | 11.689/5.089 |
27 | 0.514/0.537 | 1.965/1.346 | 3.799/2.105 | 0.208/0.094 | 7.134/3.248 | 8.033/3.588 | 14.122/5.349 |
28 | 0.096/0.055 | 1.285/0.850 | 2.168/1.227 | 0.103/0.043 | 6.046/2.803 | 4.967/3.297 | 12.633/4.379 |
29 | 0.141/0.121 | 1.071/0.258 | 1.713/0.376 | 0.077/0.036 | 3.868/0.989 | 1.517/0.536 | 4.117/0.920 |
30 | 0.115/0.123 | 0.654/0.409 | 1.375/0.270 | 0.040/0.065 | 3.096/0.757 | 1.242/0.575 | 2.320/1.134 |
31 | 0.493/0.378 | 0.952/0.411 | 1.968/0.577 | <0.025 | 3.761/0.987 | 4.683/1.356 | 6.483/1.925 |
32 | 0.198/0.156 | 1.031/0.429 | 1.733/0.457 | <0.025 | 4.672/1.354 | 3.949/2.710 | 5.772/3.876 |
33 | 0.223/0.207 | 0.668/0.394 | 1.392/0.545 | 0.225/0.211 | 2.993/1.132 | 1.200/0.544 | 2.472/1.001 |
34 | 0.413/0.432 | 2.179/0.427 | 3.227/0.784 | 0.224/0.180 | 3.316/1.727 | 4.089/3.240 | 6.678/1.281 |
35 | 0.818/0.422 | 1.283/0.255 | 3.067/0.836 | 0.224/0.117 | 3.518/2.219 | 7.133/4.520 | 8.722/4.855 |
36 | <0.015/0.000 | 1.070/0.157 | 1.000/0.439 | 0.035/0.022 | 2.184/1.759 | 4.963/11.023 | 4.850/3.754 |
37 | 0.211/0.262 | 3.127/1.100 | 3.615/1.260 | 6.545/3.751 | 7.596/1.717 | 2.734/1.460 | 8.558/1.782 |
38 | 1.919/0.962 | 0.967/0.804 | 3.758/1.141 | 0.131/0.149 | 2.023/0.977 | 3.058/1.561 | 1.443/0.795 |
39 | 0.537/1.151 | 1.251/0.699 | 2.567/1.315 | 0.092/0.187 | 3.866/1.503 | 2.208/1.308 | 3.451/1.431 |
40 | 4.093/3.559 | 0.554/0.432 | 5.033/3.206 | 0.248/0.308 | 4.695/1.898 | 4.042/1.254 | 3.568/2.977 |
41 | 5.007/9.111 | 1.484/0.903 | 9.567/10.991 | 1.569/0.850 | 9.585/4.024 | 6.225/1.299 | 15.489/7.189 |
42 | 1.240/1.059 | 2.915/1.127 | 5.168/1.728 | 0.387/0.124 | 4.146/0.727 | 4.626/1.106 | 5.897/1.183 |
43 | 3.495/2.977 | 3.880/5.995 | 14.023/10.061 | 1.488/1.851 | 8.142/4.419 | 22.856/27.457 | 18.933/8.407 |
44 | 0.320/0.520 | 0.931/0.568 | 1.858/0.678 | 0.069/0.063 | 3.651/0.975 | 1.500/0.729 | 3.224/1.660 |
45 | 0.103/0.190 | 5.545/1.319 | 7.258/1.939 | 0.025/0.031 | 2.120/0.298 | 0.729/0.378 | 1.807/0.802 |
46 | 1.220/1.098 | 1.996/0.912 | 3.970/2.179 | 0.322/0.154 | 5.082/1.524 | 4.366/1.171 | 6.112/1.952 |
Mayfly assemblages from sites classified as high and good by the RFI EQR (EQR > 0.6) represented Group 1, from sites classified as moderate (0.4 < EQR <0.6) represented Group 2 and from sites classified as poor and bad (EQR < 0.4) represented Group 3 in the analysis of similarity percentages (SIMPER) of the (Bray-Curtis) similarity (
The composition of mayfly assemblages in terms of the trophic structure and longitudinal zonal associations of species at each study site was analysed using the classification given by
In order to ordinate mayfly occurrence with respect to environmental variables, the Canonical Correspondence Analysis (CCA) was used. The analysis was performed using data for 21 taxa (rare species were downweighed) and 14 environmental variables. The Monte Carlo permutation test with 499 permutations was used to test the statistical significance of the relationship between all taxa and all variables.
Mayfly taxa abundances were correlated against agricultural land cover data, using the Spearman coefficient, in order to determine if and to what extent does this type of land cover in the catchment area influence specific taxa occurrence. Mayfly species richness, abundance and local diversity (Shannon index) were plotted against the ratio of intensive agriculture in the catchment in order to determine the “general” mayfly response in relation to increased agricultural pressures.
The Bray-Curtis similarity index, Shannon diversity index and SIMPER analyses were conducted in Primer 6 (
A total of 21 species (27 taxa) was recorded of which the most widespread was Cloeon dipterum (Linnaeus, 1761), recorded at 18 study sites, while Serratella ignita (Poda, 1761) was the most abundant (Table
Mayfly taxa recorded (individuals/m2) at the 46 degraded lowland streams and rivers investigated in Croatia. Codes of the study sites are as in Fig.
Taxa codes | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0 | 0 | 0 | 0 |
b | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c | 0 | 12 | 0 | 0 | 368 | 292 | 0 | 0 | 0 | 16 | 0 | 16 | 432 | 976 | 0 | 0 | 88 | 16 | 2224 | 330 | 906 | 16 | 0 | 8 | 0 | 438 | 68 | 158 | 64 | 276 | 108 | 544 | 1376 | 22 | 0 | 364 | 0 | 0 | 336 | 52 | 0 | 0 | 0 | 0 | 0 | 8 |
d | 120 | 0 | 48 | 0 | 120 | 36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1008 | 0 | 0 | 0 | 0 | 0 | 2 | 316 | 0 | 0 | 0 | 0 | 16 | 168 | 17 | 0 | 0 | 172 | 96 | 408 | 12 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
e | 0 | 0 | 720 | 0 | 80 | 252 | 16 | 0 | 0 | 0 | 0 | 112 | 0 | 80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 292 | 1 | 328 | 0 | 0 | 0 | 0 | 12 | 0 | 98 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
g | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 206 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
h | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 128 | 0 | 0 | 0 | 0 | 0 | 104 | 16 | 142 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0 | 32 | 24 | 0 | 0 | 0 | 0 | 0 | 832 | 0 | 0 | 0 | 0 | 224 | 0 | 8 |
i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 80 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
j | 0 | 48 | 0 | 148 | 0 | 0 | 0 | 32 | 64 | 0 | 128 | 0 | 0 | 32 | 4 | 960 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 160 | 44 | 0 | 59 | 0 | 0 | 154 | 480 | 360 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 128 | 0 | 0 | 0 | 0 |
k | 0 | 0 | 0 | 72 | 288 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0 | 0 | 0 | 0 | 0 | 68 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
l | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
m | 24 | 0 | 144 | 0 | 24 | 0 | 32 | 0 | 0 | 144 | 0 | 1424 | 0 | 32 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 208 | 0 | 0 | 0 | 0 | 8 | 32 | 104 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
n | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
o | 0 | 0 | 1984 | 0 | 0 | 0 | 48 | 0 | 0 | 144 | 0 | 1664 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 214 | 48 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 24 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
p | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
r | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
s | 0 | 0 | 48 | 0 | 0 | 0 | 48 | 32 | 0 | 112 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 640 | 0 | 8 | 16 | 5 | 0 | 0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 0 | 0 |
t | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
u | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
v | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
z | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
w | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
x | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
y | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
xx | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
xy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
The SIMPER group similarity analysis (Table
Results of the SIMPER analysis based on mayfly assemblages from sites of different hydromorphological (HYMO) alternation levels.
Species | Average abundance per site (ind/m2) | Similarity contribution within group (%) |
---|---|---|
Group 1 good and high EQR based on RFI (EQR > 0.6) | ||
Average similarity: 18.68 | ||
Baetis sp. juv. | 2.54 | 33.12 |
Cloeon dipterum | 1.38 | 16.42 |
Serratella ignita | 2.07 | 12.01 |
Baetis fuscatus | 1.73 | 10.82 |
Caenis luctuosa | 1.63 | 10.32 |
Baetis vernus | 1.33 | 6.58 |
Baetis buceratus | 1.16 | 3.59 |
Group 2 moderate EQR based on RFI (0.4 < EQR < 0.6) | ||
Average similarity: 31.33 | ||
Baetis sp. juv. | 4.00 | 58.12 |
Baetis vernus | 2.09 | 21.63 |
Cloeon dipterum | 1.23 | 12.51 |
Group 3 poor and bad EQR based on RFI (EQR < 0.4) | ||
Average similarity: 31.54 | ||
Baetis sp. juv. | 3.51 | 39.10 |
Cloeon dipterum | 2.63 | 28.10 |
Baetis buceratus | 2.21 | 16.08 |
Baetis fuscatus | 1.45 | 5.57 |
Caenis sp. juv. | 1.14 | 3.27 |
Generally, a high share of lower reaches and lentic elements (potamic and littoral elements) was recorded: it was dominant (> 50 %) at 13 study sites, eight sites had an equal share of lower reaches/lentic and upper reaches elements (crenal and rhithral) (50:50 %), while16 study sites were dominated by upper reaches elements (> 50 %) (Fig.
The results of the ordination of species and environmental data of the CCA are presented on the F1 × F2 ordination plot (Fig.
F1×F2 plane of the Canonical correspondence analysis (CCA) based on 21 mayfly taxa and 14 environmental variables. For the abbreviations of the taxa codes (blue triangle symbols) see Table
Mayfly species richness, abundance and consequently also local diversity, were found to significantly decrease with increased ratios of intensive agriculture areas in the catchment area (Fig.
Abundances of Alainites muticus (R = -0.303; p=0.041), Baetis lutheri Müller-Liebenau, 1967 (R = -0.303; p = 0.041), Baetis rhodani (Pictet, 1843) (R = -0.318; p = 0.031), Oligoneuriella rhenana (R = -0.303; p = 0.041) and juvenile instars of Ecdyonurus sp. (R = -0.303; p = 0.041) were found to significantly decrease with increased ratios of intensive agriculture area in the catchment area. Only taxa with statistically significant correlations are presented.
Our results indicate that a relatively high number of mayfly species can be found in anthropogenically impacted freshwater habitats. Nevertheless, at a large part of the study sites (i.e., 72 %) taxa richness was low, i.e., between zero and four taxa, corroborating previous studies (
The Zelina stream in Božjakovina (site 22) and Toplica River upstream from Daruvar town (site 36) showed somewhat higher species richness, yet their assemblages mainly consisted of species inhabiting a wide range of habitats, such as Baetis rhodani, Centroptilum luteolum, Serratella ignita and Caenis luctuosa (
Stream channelling is a widely used engineering practice designed for flood control and wetland draining, which affects the majority of hydrogeomorphological characteristics and processes at the channelled habitat. Due to these changes, the biota is also severely affected (
Previous researches showed that mayflies are highly dependent on specific environmental cues, and many species rapidly disappear when faced with anthropogenic disturbances in their habitat (
This study contributes to our knowledge of mayfly relationship with environmental conditions in heavily modified and anthropogenic habitats. Various anthropogenic pressures resulted in changes in mayfly assemblage composition and structure, whereas species richness decreased. For instance, the assemblages consisted mainly of a relatively low number of widespread generalists and species characteristic for lower reaches and lentic habitats. This indicates that hydromorphological alterations could have resulted in assemblage’s “potamisation”. Moreover, highly polluted sites, with high temperatures and low oxygen content, were inhabited almost exclusively with the euryvalent Cloeon dipterum, or were completely unsuitable for any mayfly species, confirming the high sensitivity of mayflies to disturbances in their habitats. Our results can enable planning of management and conservation activities of lowland rivers and their biota according to the requirements of the European Water Framework Directive.
We would like to thank our colleagues from University of Zagreb (Faculty of Science, Department of Biology, Division of Zoology) for their indispensable assistance during the field investigations and for help with sorting the collected material. Miran Katar is thanked for helping us with the artwork. We thank Maja Kerovec for assisting with GIS analysis and Croatian Waters for providing hydromorphological, land use and water physico-chemical data. Finally, the reviewers are thanked for their useful comments and suggestions.