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76 results for “Quercus forest”

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dryad32/100

Data from: Forest plant community as a driver of soil biodiversity: experimental evidence from collembolan assemblages through large-scale and long-term removal of oak canopy trees Quercus petraea

Plant–soil interactions are increasingly recognized to play a major role in terrestrial ecosystems functioning. However, few studies to date have focused on slow dynamic ecosystems such as forests. As they are vertically stratified by multiple vegetation strata, canopy tree removal by thinning operations could alter forest plant community through tree canopy opening. Very little is known about cascading effects on soil biodiversity. We conducted a large-scale, multi-site assessment of collembolan assemblage response to long-term canopy tree removal in sessile oak Quercus petraea temperate forests. A total of 33 experimental plots were studied covering a large gradient of canopy tree basal area, stand age and local abiotic contexts. Collembolan abundance strongly declined with canopy tree removal in early forest successional stage and this was mediated by negative effect of understory plant community composition changes, i.e. shift from moss and forb to tree seedling, fern, shrub and grass species. Negative effect of this composition shift on collembolan species richness was largely offset by positive effect of the increase in understory plant species richness. This gives support to both the plant mass-ratio and functional diversity hypotheses. Collembolan functional groups had contrasting response patterns, which were mediated by different ecological factors. Epedaphic (r-strategist) abundance and species richness increased with canopy tree removal in relation with the increase in understory plant species richness. In contrast, euedaphic (K-strategist) abundance and species richness declined with canopy tree removal in early forest successional stage in relation with changes in understory plant community composition and species richness, as well as microclimatic conditions. Overall, our study provides experimental evidence that forest plant community can be a strong driver of collembolan assemblages. It also emphasizes the role of trees as foundation species of forest ecosystems that can shape soil biodiversity through their regulation of understory plant community and ecosystem abiotic conditions.

opencc-zeroDec 2015View details →
dryad32/100

Limited sink but large storage: biomass dynamics in naturally developing beech (Fagus sylvatica) and oak (Quercus robur, Quercus petraea) forests of northwestern Germany

<p>1. Currently, the dynamics underlying the storage and acquisition of biomass, and thus carbon, in naturally developing forests are under debate. A better understanding of the biomass dynamics of forests is needed to clarify the role played by naturally developing forests in the mitigation of climate change.</p> <p>2. Long-term monitoring data from unmanaged strict forest reserves (SFRs) in northwestern Germany were used to analyze the biomass dynamics of pure beech, mixed beech, and mixed oak forests. A complete balance of aboveground woody biomass (biomass) and growth, density-dependent and -independent mortality, as well as deadwood decay was derived. Density-independent mortality served as a proxy for disturbance severity.</p> <p>3. After a time of abandonment (TSA) of 50 years, the average biomass ranged between 334 t ha-1 in mixed oak and 478 t ha-1 in pure beech stands. The net change in biomass was positive in all forest types. Density-independent mortality and decay rates were much lower than the growth rates. Pure beech forests reached higher levels of biomass, a higher net change in biomass, and more growth than either of the mixed forest type. Biomass increased linearly with TSA in pure beech stands but followed an asymptotic course in the mixed forests. In the latter, the net change in biomass and growth were consistent with a unimodal development pattern. The development of biomass could not be explained by the aging of the tree communities.</p> <p>4. Synthesis: We hypothesized that the observed biomass dynamics is a result of the interaction between resource supply within a limited growing space and the resource-use efficiency of the tree stand in conjunction with disturbances. The still-linear increase in the biomass of pure beech forests was assumed to reflect the high resource-use efficiency of beech, especially its use of light. The aboveground capacity of naturally developing broadleaved forests to store and acquire biomass, and thus carbon, is substantial. Accordingly, allowing broadleaved forests to develop naturally can contribute substantially to carbon storage and sequestration. However. our study also suggests that the aboveground carbon sink decreases after several decades.</p>

opencc-zeroJul 2021View details →
zenodo32/100

Fig. 2 in The Influence of Environmental Temperature and Humidity on the Elevational and Temporal Distributions of Rove Beetles (Coleoptera: Staphylinidae) in a Quercus L. Forest in Jalisco, Mexico

Fig. 2. Range-abundance of the most abundant species of carrion-trapped staphylinids at four elevations in oak forest on Cerro de Garc´ıa, Jalisco, Mexico. Species names for abbreviations are in Table 1.

opennotspecifiedMar 2019View details →
zenodo32/100

Fig. 3 in The Influence of Environmental Temperature and Humidity on the Elevational and Temporal Distributions of Rove Beetles (Coleoptera: Staphylinidae) in a Quercus L. Forest in Jalisco, Mexico

Fig. 3. Coinertia analysis between environmental variables and number of carrion-trapped specimens of the most abundant staphylinid species at four altitudes in oak forest on Cerro de Garc´ıa, Jalisco, Mexico. a) Factorial plane of Coinertia of the four altitudes; the tip of the arrows represents the composition of the community of staphylinids at the indicated altitude and the diamond base represents the environmental variables, b) Projection of the vectors of the environmental variables, c) Diversity of carrion-trapped staphylinids in the factorial plane of Coinertia. Hmin = minimum humidity; H = average humidity; Hmax = maximum humidity; Tmin = minimum temperature; T = average temperature; Tmax = maximum temperature. Species names for abbreviations are in Table 1. Most species clustered around the center and are not shown. The species indicated are those that showed a significantly different tendency.

opennotspecifiedMar 2019View details →
zenodo32/100

Fig. 4 in The Influence of Environmental Temperature and Humidity on the Elevational and Temporal Distributions of Rove Beetles (Coleoptera: Staphylinidae) in a Quercus L. Forest in Jalisco, Mexico

Fig. 4. Coinertia analysis among environmental variables and number of individuals per species at four altitudes on Cerro de Garc´ıa, Jalisco, Mexico: A) 2,100 m, B) 2,300 m, C) 2,500 m, D) 2,700 m. For each altitude: a) Factorial plan of Coinertia of the months; the tip of the arrows represents the composition of the community of staphylinids at the indicated altitude and the round dot base represents the environmental variables; b) Projection of the vectors of the environmental variables; c) Diversity of carrion-trapped staphylinids in the factorial plan of Coinertia. Hum = humidity, Tem = temperature. Species names for abbreviations are in Table 1. Most species clustered around the center and are not shown. The species indicated are those that showed a significantly different tendency.

opennotspecifiedMar 2019View details →
zenodo32/100

Fig. 1. Study site. A in The Influence of Environmental Temperature and Humidity on the Elevational and Temporal Distributions of Rove Beetles (Coleoptera: Staphylinidae) in a Quercus L. Forest in Jalisco, Mexico

Fig. 1. Study site. A) Location of carrion traps on Cerro de Garc´ıa, B) Carrion trap, C) Quercus forest.

opennotspecifiedMar 2019View details →
dryad32/100

Small‐scale genetic structure and mating patterns in an extensive sessile oak forest (Quercus petraea (Matt.) Liebl.)

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publicJun 2021View details →
dryad32/100

Data from: Fire increases drought vulnerability of Quercus alba juveniles by altering forest microclimate and nitrogen availability

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publicAug 2018View details →
dryad32/100

Data from: Wind pollination over 70 years reduces the negative genetic effects of severe forest fragmentation in the tropical oak Quercus bambusifolia

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publicJul 2019View details →
dryad32/100

Data from: Quercus suber dieback alters soil respiration and nutrient availability in Mediterranean forests

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publicJun 2016View details →
dryad32/100

Limited sink but large storage: biomass dynamics in naturally developing beech (Fagus sylvatica) and oak (Quercus robur, Quercus petraea) forests of northwestern Germany

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publicJul 2021View details →
dryad32/100

Data from: Forest plant community as a driver of soil biodiversity: experimental evidence from collembolan assemblages through large-scale and long-term removal of oak canopy trees Quercus petraea

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publicSep 2016View details →
dryad32/100

Data from: Insect herbivory in novel Quercus ilex L. forests: the role of landscape attributes, forest composition and host traits

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publicFeb 2020View details →
zenodo28/100

FIGURE 2 in The Lichen Flora on Quercus in the Tamentout Forest of Algeria

FIGURE 2: Number of lichen species on the different phorophytes in the Tamentout Forest.

opennotspecifiedSep 2022View details →
zenodo28/100

FIGURE 3 in The Lichen Flora on Quercus in the Tamentout Forest of Algeria

FIGURE 3. Number of species recorded for each family and genus at the Tamentout Forest.

opennotspecifiedSep 2022View details →
zenodo28/100

FIGURE 5 in The Lichen Flora on Quercus in the Tamentout Forest of Algeria

FIGURE 5. Growth forms of lichens in the Tamentout Forest.

opennotspecifiedSep 2022View details →
zenodo28/100

FIGURE 1 in The Lichen Flora on Quercus in the Tamentout Forest of Algeria

FIGURE 1. Sample stations in the Tamentout Forest of the Ain Sebt Region.

opennotspecifiedSep 2022View details →
zenodo28/100

Figure 5 from: Herrera M, Bandala VM, Montoya L (2018) Cantharellus violaceovinosus, a new species from tropical Quercus forests in eastern Mexico. MycoKeys 32: 91-109. https://doi.org/10.3897/mycokeys.32.22838

Figure 5 Cantharellus violaceovinosus: a basidiospores b basidia (Gutiérrez 23) c pileipellis (Herrera 61). Scale bars: 5 µm (a); 10 µm (b); 25 µm (c).

opencc-by-4.0Apr 2018View details →
zenodo28/100

Figure 4 from: Herrera M, Bandala VM, Montoya L (2018) Cantharellus violaceovinosus, a new species from tropical Quercus forests in eastern Mexico. MycoKeys 32: 91-109. https://doi.org/10.3897/mycokeys.32.22838

Figure 4 Cantharellus violaceovinosus (Corona 648, holotype): a basidiospores b terminal elements of the pileipellis c basidia d pileipellis. Scale bars: 5 µm (a); 10 µm (b, c); 25 µm (d).

opencc-by-4.0Apr 2018View details →
zenodo28/100

Figure 3 from: Herrera M, Bandala VM, Montoya L (2018) Cantharellus violaceovinosus, a new species from tropical Quercus forests in eastern Mexico. MycoKeys 32: 91-109. https://doi.org/10.3897/mycokeys.32.22838

Figure 3 Basidiomes of Cantharellus violaceovinosus: a Corona 648 (holotype) b Bandala 4550 c Del Moral 427 d Bandala 4490. Scale bars: 20 mm.

opencc-by-4.0Apr 2018View details →

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