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11 results for “Meadow steppe”
Рис. 8–13. ΔанΑшафты Южного УраΛа (8–11) и Русской равнины (12–13). 8 – разнотравная степь у поΑножия горы ВербΛюжка, местообитание Cionus rossicus; 9 – ксерофитные Λуга в пойме реки УраΛ вбΛизи горы ВербΛюжка, местообитание Cionus rossicus; 10 – южные степи в районе КзыΛаΑырского карстового поΛя, местообитание Cionus gebleri; 11 – степи низкогорий Южного УраΛа бΛиз с. КиΑрясово, местообитание Smicronyx albopictus; 12 – КаменноброΑские меΛовые горы на юго-запаΑе ПривоΛжской возвышенности, местообитание Mecinus janthiniformis, Smicronyx robustus и S. albopictus; 13 – меΛовой останец КобыΛья ГоΛова в прироΑном парке «Àонской», местообитание Mecinus janthiniformis. Figs 8–13. Landscapes of the Southern Urals (8–11) and the Russian Plain (12–13). 8 – forb steppe at the down of Verblyuzhka Mt., habitat of Cionus rossicus; 9 – xerophytic meadows in the floodplain of the Ural River near Verblyuzhka Mt., habitat of Cionus rossicus; 10 – southern steppes in the Kzyladyr karst area, habitat of Cionus gebleri; 11 – steppes of the low mountains of the Southern Urals near Kidryasovo village, habitat of Smicronyx albopictus; 12 – Kamennobrodsky chalk mountains in the southwest of the Volga Upland, habitat of Mecinus janthiniformis, Smicronyx robustus, and S. albopictus; 13 – Cretaceous outlier Kobyl'ya Golova in the Donskoy Nature Park, habitat of Mecinus janthiniformis. in Interesting records of weevils (Coleoptera: Curculionidae: Curculioninae) in the steppe zone of the European part of Russia and the Urals
Рис. 8–13. ΔанΑшафты Южного УраΛа (8–11) и Русской равнины (12–13). 8 – разнотравная степь у поΑножия горы ВербΛюжка, местообитание Cionus rossicus; 9 – ксерофитные Λуга в пойме реки УраΛ вбΛизи горы ВербΛюжка, местообитание Cionus rossicus; 10 – южные степи в районе КзыΛаΑырского карстового поΛя, местообитание Cionus gebleri; 11 – степи низкогорий Южного УраΛа бΛиз с. КиΑрясово, местообитание Smicronyx albopictus; 12 – КаменноброΑские меΛовые горы на юго-запаΑе ПривоΛжской возвышенности, местообитание Mecinus janthiniformis, Smicronyx robustus и S. albopictus; 13 – меΛовой останец КобыΛья ГоΛова в прироΑном парке «Àонской», местообитание Mecinus janthiniformis. Figs 8–13. Landscapes of the Southern Urals (8–11) and the Russian Plain (12–13). 8 – forb steppe at the down of Verblyuzhka Mt., habitat of Cionus rossicus; 9 – xerophytic meadows in the floodplain of the Ural River near Verblyuzhka Mt., habitat of Cionus rossicus; 10 – southern steppes in the Kzyladyr karst area, habitat of Cionus gebleri; 11 – steppes of the low mountains of the Southern Urals near Kidryasovo village, habitat of Smicronyx albopictus; 12 – Kamennobrodsky chalk mountains in the southwest of the Volga Upland, habitat of Mecinus janthiniformis, Smicronyx robustus, and S. albopictus; 13 – Cretaceous outlier Kobyl'ya Golova in the Donskoy Nature Park, habitat of Mecinus janthiniformis.
Grazing-N addition interactions drive soil carbon priming and balance via bacterial assimilation in a meadow steppe
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Data from: Labile carbon input alleviates nitrogen-induced community instability in a meadow steppe
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Soil properties and plant functional traits have different importance in shaping rhizosphere soil bacterial and fungal communities in a meadow steppe
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Nitrogen addition drives local extinction of legumes in meadow steppe
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Herbivore assemblage as an important factor modulating grazing effects on ecosystem carbon fluxes in a meadow steppe in northeast China
<p>A better understanding of how grazing by large herbivores, as the major land use worldwide, affects grassland carbon fluxes is critical for predicting future uptake of CO<span>2</span> in terrestrial ecosystem. Previous studies have focused on individual herbivore species; it remains poorly understood as to if and how herbivore assemblage (single- vs. mixed-species) would alter the impact of grazers on grassland carbon fluxes. Here we examined the effects of moderate grazing by different herbivore assemblages on net ecosystem CO<span>2</span> exchange (NEE), gross ecosystem productivity (GEP) and ecosystem respiration (ER) over the growing season in two types of grassland communities in a meadow steppe. We found that herbivore assemblages significantly affected NEE, and the effects varied in the two types of grassland communities. Compared to un-grazed grassland, mixed grazing of sheep and cattle increased NEE (i.e., increased CO<span>2</span> uptake) over the growing season regardless of community type, while sheep- or cattle-only grazing increased NEE in the low diversity community and decreased it in the high diversity community. Herbivore assemblages altered the NEE primarily via changing GEP. The different effects of herbivore assemblages on GEP may be attributed mainly to grazing-induced changes in soil water availability and canopy light availability. Our study indicates that mixed grazing of sheep and cattle might be an important grazing management practice to improve plant aboveground productivity and help mitigate CO<span>2</span> emissions during the growing season. It should be particularly used in diverse plant communities, where it might increase grassland carbon sequestration.</p>
Functional structure mediates the responses of productivity to addition of three nitrogen compounds in a meadow steppe
<p><span>Atmospheric nitrogen (N) deposition is altering grassland productivity and community structure worldwide. Deposited N comes in different forms, which can have different consequences for productivity due to differences in their fertilization and acidification effects. We hypothesize that these effects may be mediated by changes in plant functional traits. We investigated the responses of </span><span>aboveground primary productivity</span><span> and community functional composition to addition of three nitrogen compounds (NH4NO3, [NH4]2SO4, and CO[NH2]2) at the rates of 0, 5, 10, 20 g N m-2 yr-1. We used structural equation modeling (SEM) to evaluate how functional structure influences the responses of productivity to the three N compounds. Nitrogen addition increased community-level leaf chlorophyll content but decreased leaf dry matter content and phosphorus concentration. These changes were mainly due to intra-specific variation. Functional dispersion of traits was reduced by N addition through changes in species composition. SEM revealed that fertilization effects were more important than soil acidification for the responses of productivity to CO(NH2)2 addition, which enhanced productivity by decreasing functional trait dispersion. In contrast, the effects of (NH4)2SO4 and NH4NO3 were primarily due to soil acidification, influencing productivity via community-weighted means of functional traits. Our results suggest that N forms with different fertilizing and acidifying effects influence productivity via different functional traits pathways. Our study also emphasizes the need for in situ experiments with the relevant N compounds to accurately understand and predict the ecological effects of atmospheric N deposition on ecosystems.</span></p>
Contrasting response of the water use efficiency to precipitation changes between the alpine meadow and alpine steppe over the Tibetan Plateau
<p>The file of AlpineGrassland_GrowingSeason_WUE is dataset of the growing season water use efficiency of alpine grassland over the tibetan plateau during 1982-2014.</p>
Functional structure mediates the responses of productivity to addition of three nitrogen compounds in a meadow steppe
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Herbivore assemblage as an important factor modulating grazing effects on ecosystem carbon fluxes in a meadow steppe in northeast China
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Microhabitat selection of meadow and steppe vipers enlightened by digital photography and image processing to describe grassland vegetation structure
<p>Dataset</p> <ol> <li> <p>Understanding animals’ selection of microhabitats is important in both ecology and biodiversity conservation. However, there is no generally accepted methodology for the characterisation of microhabitats, especially for vegetation structure.</p> </li> <li> <p>We studied microhabitat selection of <em>Vipera</em> snakes by comparing grassland vegetation structure between viper occurrence points and random points in three grassland ecosystems: <em>V. graeca</em> in mountain meadows of Albania, <em>V. renardi</em> in loess steppes of Ukraine, and <em>V. ursinii</em> in sand grasslands in Hungary. We quantified vegetation structure in an objective manner by automated processing of images taken of the vegetation against a vegetation profile board under standardised conditions. We developed an R script for automatic calculation of four vegetation structure variables derived from raster data obtained in the images: leaf area (LA), height of closed vegetation (HCV), maximum height of vegetation (MHC), and foliage height diversity (FHD).</p> </li> <li> <p>Generalized linear mixed models revealed that snake occurrence was positively related to HCV in <em>V. graeca</em>, to LA in <em>V. renardi</em> and to LA and MHC in <em>V. ursinii</em>, and negatively to to HCV in <em>V. ursinii</em>.</p> </li> <li> <p>Our results demonstrate that vegetation structure variables derived from automated image processing significantly influence viper microhabitat selection. Our method minimises the risk of subjectivity in measuring vegetation structure, allows upscaling if neighbouring pixels are combined, and is suitable for comparison of or extrapolation across different grasslands, vegetation types or ecosystems.</p> </li> </ol>
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