Post-fire insect fauna explored by crown fermental traps in forests of the European Russia

被引:31
作者
Ruchin, A. B. [1 ]
Egorov, L., V [1 ,2 ]
MacGowan, I [3 ]
Makarkin, V. N. [4 ]
Antropov, A., V [5 ]
Gornostaev, N. G. [6 ]
Khapugin, A. A. [1 ,7 ]
Dvorak, L. [8 ]
Esin, M. N. [1 ]
机构
[1] Mordovia State Nat Reserve & Natl Pk Smolny, Saransk, Russia
[2] Prisursky State Nat Reserve, Cheboksary, Russia
[3] Natl Museums Scotland, Collect Ctr, Edinburgh, Midlothian, Scotland
[4] Russian Acad Sci, Fed Sci Ctr East Asia Terr Biodivers, Far Eastern Branch, Vladivostok, Russia
[5] Moscow MV Lomonosov State Univ, Zool Museum, Moscow 125009, Russia
[6] RAS, NK Koltsov Inst Dev Biol, Moscow, Russia
[7] Tyumen State Univ, Tyumen, Russia
[8] Tri Sekery, Marianske Lazne, Czech Republic
关键词
SOCIAL WASP HYMENOPTERA; STATE NATURE-RESERVE; BEETLES COLEOPTERA; SOIL INVERTEBRATES; SAPROXYLIC BEETLES; FIRE DISTURBANCE; PROTECTED AREAS; BOREAL FOREST; DIPTERA; RESPONSES;
D O I
10.1038/s41598-021-00816-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Wildfires considerably affect forest ecosystems. However, there is a lack of data on the post-fire status of insect communities in these ecosystems. This paper presents results of a study conducted in 2019 which considered the post-fire status of the insect fauna in a Protected Area, Mordovia State Nature Reserve (Republic of Mordovia, centre of European Russia), considered as regional hotspot of insect diversity in Mordovia. We sampled insects on intact (unburned, control) and fire-damaged (burnt in 2010) sites and compared the alpha-diversity between sites. In total, we sampled and analysed 16,861 specimens belonging to 11 insect orders, 51 families and 190 species. The largest orders represented in the samples were Coleoptera (95 species), Diptera (54 species), Hymenoptera (21 species), and Neuroptera (11 species). Other insect orders were represented by between one and four species. The largest four orders (Coleoptera, Lepidoptera, Diptera and Hymenoptera) represented 96.7% of all studied specimens. We found that in the ninth year after low intensity surface fire damage, the insect diversity had returned to a similar level to that of the control (unburned) sites. Sites damaged by crown wildfire differed considerably from other sites in terms of a negative impact on both species diversity and the number of specimens. This indicates the serious effect of the crown fires on the biodiversity and consequent long-term recovery of the damaged ecosystem.
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页数:13
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共 37 条
[31]   Off-peak NDVI correction to reconstruct Landsat time series for post-fire recovery in high-latitude forests [J].
Wang, Cuizhen ;
Wang, Aiai ;
Guo, Dianfan ;
Li, Haibo ;
Zang, Shuying .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 107
[32]   Differentiating effects of salvage logging and recovery patterns on post-fire boreal forests in Northeast China using a modified forest disturbance index [J].
Li, Kewei ;
Xu, Erqi .
GISCIENCE & REMOTE SENSING, 2023, 60 (01)
[33]   Fire Impact on Carbon Pools and Basic Properties of Retisols in Native Spruce Forests of the European North and Central Siberia of Russia [J].
Startsev, Viktor V. ;
Yakovleva, Evgenia, V ;
Kutyavin, Ivan N. ;
Dymov, Alexey A. .
FORESTS, 2022, 13 (07)
[34]   Early post-fire bird community in European boreal forest: Comparing salvage-logged with non-intervention areas [J].
Zmihorski, Michal ;
Hebda, Grzegorz ;
Eggers, Sonke ;
Mansson, Johan ;
Abrahamsson, Tommy ;
Czeszczewik, Dorota ;
Walankiewicz, Wieslaw ;
Mikusinski, Grzegorz .
GLOBAL ECOLOGY AND CONSERVATION, 2019, 18
[35]   Linking Post-fire Tree Density to Carbon Storage in High-Latitude Cajander Larch (Larix cajanderi) Forests of Far Northeastern Siberia [J].
Alexander, H. D. ;
Paulson, A. K. ;
Loranty, M. M. ;
Mack, M. C. ;
Natali, S. M. ;
Pena, H. ;
Davydov, S. ;
Spektor, V. ;
Zimov, N. .
ECOSYSTEMS, 2024, 27 (05) :655-672
[36]   Joint dynamics of Vaccinium vitis-idaea and V. myrtillus populations in the protected post-fire pine forests: Retrospective prediction with a Markov model [J].
Maslov, A. A. ;
Logofet, D. O. .
ZHURNAL OBSHCHEI BIOLOGII, 2022, 83 (05) :346-357
[37]   Assessing spatial and temporal variations in surface soil moisture in fire-disturbed black spruce forests in Interior Alaska using spaceborne synthetic aperture radar imagery - Implications for post-fire tree recruitment [J].
Kasischke, Eric S. ;
Bourgeau-Chavez, Laura L. ;
Johnstone, Jill F. .
REMOTE SENSING OF ENVIRONMENT, 2007, 108 (01) :42-58