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Keywords = Alnus acuminata

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17 pages, 3626 KiB  
Article
Synergistic and Antagonistic Effects of Mixed-Leaf Litter Decomposition on Nutrient Cycling
by Vestine Mukamparirwa, Salim M. S. Maliondo and Canisius Patrick Mugunga
Plants 2024, 13(22), 3204; https://doi.org/10.3390/plants13223204 - 15 Nov 2024
Viewed by 753
Abstract
Understanding decomposition patterns of mixed-leaf litter from agroforestry species is crucial, as leaf litter in ecosystems naturally occurs as mixtures rather than as separate individual species. We hypothesized that litter mixtures with larger trait divergence would lead to faster mass loss and more [...] Read more.
Understanding decomposition patterns of mixed-leaf litter from agroforestry species is crucial, as leaf litter in ecosystems naturally occurs as mixtures rather than as separate individual species. We hypothesized that litter mixtures with larger trait divergence would lead to faster mass loss and more balanced nutrient release compared to single-species litter. Specifically, we expected mixtures containing nutrient-rich species to exhibit synergistic effects, resulting in faster decay rates and sustained nutrient release, while mixtures with nutrient-poor species would demonstrate antagonistic effects, slowing decomposition. We conducted a mesocosm experiment using a custom wooden setup filled with soil, and the litterbag method was used to test various leaf litter mixtures. The study involved leaf litter from six agroforestry tree species: three species from humid highland regions and three from semi-arid regions. Treatments included three single-species leaf litter mixtures, three two-species mixtures, and one three-species mixture, based on the sampling region. Species included Calliandra calothyrsus (Ca), Croton megalocarpus (Cr), Grevillea robusta (G), Alnus acuminata (A), Markhamia lutea (M), and Eucalyptus globulus (E). Decay rate constants (k) were estimated using non-linear least-squares regression and observed mass loss was compared to predicted values for mixed-species litter treatments to assess synergistic and antagonistic effects. A two-way linear mixed-effects model was employed to explain variation in mass loss. Results indicate positive non-additive effects for leaf litter mixtures including nutrient-rich species and negative non-additive effects for mixtures including nutrient-poor species. The mixture of Ca + Cr + G had positive non-additive or synergistic effects as it decomposed faster than its corresponding single-species litter. Leaf litters with higher lignin content, such as A + M + E and Ca + Cr + G, exhibited less lignin release compared to what would be expected based on individual litter types, demonstrating antagonistic effects. These findings highlight that both litter nutrient constituents and litter diversity play an important role in decomposition processes and therefore in the restoration of the degraded and nutrient-depleted soils of Rwanda. Full article
(This article belongs to the Special Issue Soil Ecology and Nutrients' Cycling in Crops and Fruits)
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Graphical abstract

Graphical abstract
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<p>Comparison of observed vs. predicted mass loss for different litter mixtures: The plot compares the observed mass loss (%) to the predicted mass loss (PLML) (%) for study litter mixtures across treatments. The dashed line at the bottom represents the theoretical line of equality, indicating no points align, reinforcing the presence of enhanced decomposition rates in mixed-species litterbags.</p>
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<p>Boxplots (Q1, median, Q3) with the observed measures on mass loss based on tree species basing on their respective sampled areas and time taken to decompose.</p>
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<p>The mass loss model predicted estimates based on the interaction of input variables (tree species and time taken to decompose) based on the two sites where the litter is collected from, (<b>a</b>) Kayonza and (<b>b</b>) Musanze. The data were log transformed.</p>
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<p>Fixed effects standardized estimates of the two-way linear mixed-effects model explaining variation in mass loss of selected agroforestry tree species from the sampling areas of (<b>a</b>) Kayonza and (<b>b</b>) Musanze and their associated 95% confidence intervals. Asterisks indicate the significance level of the corresponding <span class="html-italic">p</span>-values (*** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05). The effects Treatment and Time are in relation to their baseline levels, <span class="html-italic">C. calothyrsus</span> (<b>a</b>) and <span class="html-italic">A. acuminata</span> (<b>b</b>).</p>
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<p>Observed nutrient release across the study. N, P, K, C, and lignin were the measured nutrients to predict the quality of selected species.</p>
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<p>Plots showing the change in nutrient release (%) (<b>A</b>–<b>J</b>) on the predicted estimates based on the interaction of input variables (single tree species or mixtures and time) across the treatments of litters collected from the Kayonza and Musanze sites. The released nutrients are nitrogen (N), phosphorus (P), potassium (K), carbon (C), and lignin (L.) after a 120-day interval of incubation.</p>
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<p>Map of the study area.</p>
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<p>The experimental layout used to study the mass loss and nutrient release from seven treatments made by single-species litters and litter mixtures from six agroforestry species.</p>
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20 pages, 12135 KiB  
Article
Southern South American Long-Distance Pollen Dispersal and Its Relationship with Atmospheric Circulation
by Claudio F. Pérez, Ana G. Ulke and María I. Gassmann
Aerobiology 2024, 2(4), 85-104; https://doi.org/10.3390/aerobiology2040007 - 12 Oct 2024
Viewed by 935
Abstract
This paper addresses the study of synoptic-scale meteorological conditions that favor long-range pollen transport in southern South America combining airborne pollen counts, modeled three-dimensional backward trajectories, and synoptic and surface meteorological data. Alnus pollen transport trajectories indicate origins predominantly in montane forests of [...] Read more.
This paper addresses the study of synoptic-scale meteorological conditions that favor long-range pollen transport in southern South America combining airborne pollen counts, modeled three-dimensional backward trajectories, and synoptic and surface meteorological data. Alnus pollen transport trajectories indicate origins predominantly in montane forests of the Yungas between 1500 and 2800 m altitude. The South American Low-Level Jet is the main meteorological feature that explains 64% of the detected pollen arrival at the target site. Podocarpus and Nothofagus pollen instead are linked primarily to the widespread Subantartic forests in southern Patagonia. Their transport patterns are consistent with previous studies, which show an association with synoptic patterns related to cold front passages carrying pollen in the free atmosphere (27% for Nothofagus and 25% for Podocarpus). These results show the significance of understanding long-distance pollen transport for disciplines such as climate change reconstruction and agriculture, emphasizing the need for further research to refine atmospheric circulation models and refine interpretations of past vegetation and climate dynamics. Full article
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Graphical abstract

Graphical abstract
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<p>(<b>a</b>) Even-hour <span class="html-italic">Alnus</span> trajectories arriving at 1500 m a.s.l. from 14 UTC of 31 August–12 UTC of 1 September 2013 and (<b>b</b>) 14 UTC of 1 September–12 UTC of 2nd September 2013. The Yungas Forest is shaded in green.</p>
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<p>Mean geopotential height at 1000 hPa (black solid lines) and 500/1000 hPa thickness fields (gray dashed lines) for the <span class="html-italic">Alnus</span> case study (31 August–1 September 2013). The shaded area shows the highest heights of the Andes (above 1500 m a.s.l.).</p>
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<p>Images of 850 hPa winds (vectors, m s<sup>−1</sup>) and areas satisfying the modified Bonner’s criteria for (<b>a</b>) 06 UTC 31 August and (<b>b</b>) 06 UTC 1 September showing the position of the cold front. Shading indicates wind speeds at 850 hPa greater than 12, 16, and 20 m s<sup>−1</sup>. White contours indicate a 700/850 hPa wind difference greater than 6, 8, and 10 m s<sup>−1</sup>. Dashed line masks altitudes above 1500 m.</p>
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<p>Images of the 800–750 hPa layer mean flow for 06 UTC 31 August (<b>a</b>) and 06 UTC 1 September showing the position of the cold front (<b>b</b>). The dashed line marks the 1500 m altitude, while the shaded area masks altitudes higher than 3250 m. The color scale shows the horizontal wind intensity (m s<sup>−1</sup>).</p>
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<p>Vertical cross sections (30.97° S) showing the horizontal wind (vectors, m s<sup>−1</sup>) and omega (lines, Pa s<sup>−1</sup>) by the end of the SALLJ event. The star shows the position of Sunchales. Panels show the situation every 6 h from 30 August to 1 September 2013. The shaded area shows the Andes and Córdoba ranges. The star indicates the position of Sunchales.</p>
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<p>Vertical cross sections (19° S) showing the horizontal wind (vectors, m s<sup>−1</sup>) and omega (lines, Pa s<sup>−1</sup>) at the latitude where the SALLJ passes over the Yungas. Panels show the situation every 6 h from 29 August to 31 August 2013 when the event started. The shaded area shows the Andes and Brazilian ranges.</p>
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<p>Even-hour <span class="html-italic">Nothofagus</span> (<b>a</b>) and <span class="html-italic">Podocarpus</span> (<b>b</b>) trajectories arriving at 750 m a.s.l. on 14 UTC of 24 November–12 UTC of 25 November 2012, and 14 UTC 24 October–12 UTC 25 October 2013, respectively. Light-colored lines show trajectories not passing over the pollen source area (see text). Straight lines represent the construction cuts of the Hovmöller diagrams in <a href="#aerobiology-02-00007-f008" class="html-fig">Figure 8</a> and <a href="#aerobiology-02-00007-f009" class="html-fig">Figure 9</a>. The shaded area shows the geographic distribution of the Subantarctic forests.</p>
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<p>Hovmöller diagram for <span class="html-italic">Nothofagus</span> case study from 15 November to 1 December 2012. The space cut corresponds to the straight line in <a href="#aerobiology-02-00007-f007" class="html-fig">Figure 7</a>a. Lines show the 700 hPa geopotential height (gpm) and the shaded areas show 700 hPa omega (Pa s<sup>−1</sup>). The lower panel shows the associated topography and the vertical line represents the geographical location of Sunchales.</p>
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<p>Hovmöller diagram for <span class="html-italic">Podocarpus</span> case study from 15 October to 1 November 2013. The space cut corresponds to the straight line in <a href="#aerobiology-02-00007-f007" class="html-fig">Figure 7</a>b. Lines show the 700 hPa geopotential height (gpm), and shaded areas show 700 hPa omega (Pa s<sup>−1</sup>). The lower panel shows the associated topography and the vertical line represents the geographical location of Sunchales.</p>
Full article ">Figure A1
<p>Cartoons describing the transient synoptic patterns (see <a href="#aerobiology-02-00007-t001" class="html-table">Table 1</a>, <a href="#aerobiology-02-00007-t002" class="html-table">Table 2</a> and <a href="#aerobiology-02-00007-t003" class="html-table">Table 3</a>) recognized for <span class="html-italic">Alnus</span>, <span class="html-italic">Nothofagus</span>, and <span class="html-italic">Podocarpus</span> pollen arrival at Sunchales. The red star shows the city’s location. (<b>a</b>) leading-edge trough, (<b>b</b>) trough–eastern high, (<b>c</b>) low–eastern high, (<b>d</b>) weak high, (<b>e</b>) eastern high, (<b>f</b>) weak low, (<b>g</b>) ridge, (<b>h</b>) trough, (<b>i</b>) post-frontal, (<b>j</b>) low, (<b>k</b>) high.</p>
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17 pages, 5563 KiB  
Article
Evaluation of the Fungitoxic Effect of Extracts from the Bark of Quercus laeta Liebm, the Cob of Zea mays and the Leaves of Agave tequilana Weber Blue Variety against Trametes versicolor L. Ex Fr
by Alberto Gálvez-Martínez, Rosa María Jiménez-Amezcua, José Anzaldo-Hernández, María Guadalupe Lomelí-Ramírez, José Antonio Silva-Guzmán, José Guillermo Torres-Rendón and Salvador García-Enriquez
Forests 2024, 15(7), 1204; https://doi.org/10.3390/f15071204 - 11 Jul 2024
Viewed by 1081
Abstract
Wood products used in outdoor applications can be degraded by xylophage organisms. For this reason, such products require treatments based on biocides in order to delay their service life. This brings troubles of its own due to the inherent toxicity of these treatments [...] Read more.
Wood products used in outdoor applications can be degraded by xylophage organisms. For this reason, such products require treatments based on biocides in order to delay their service life. This brings troubles of its own due to the inherent toxicity of these treatments towards humans and the environment. Therefore, it is imperative to find less-toxic natural preservatives. In this context, this work deals with the evaluation of the fungitoxic effect of raw extracts obtained from three types of agroindustrial waste materials: bark of Quercus laeta spp., the cob of Zea mays, and the leaves of Agave tequilana Weber Blue variety. Extracts were incorporated into the test wood Alnus acuminata (Aile wood) via a full-cell process. Bark extracts provided excellent protection against the attack of Trametes versicolor (L. ex. Fr.) Pilát, improving the decay resistance of Aile wood from being nonresistant to resistant. Also, bark extracts from Q. laeta showed less leaching than the other extracts. Full article
(This article belongs to the Special Issue Wood Durability and Protection)
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Figure 1
<p>Diagram of the methodology.</p>
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<p>(<b>a</b>) Representation of the impregnation equipment. (<b>b</b>) Vacuum–pressure cycle used in the impregnation process.</p>
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<p>Extracts from (<b>a</b>) agave leaves, (<b>b</b>) corn cob, and (<b>c</b>) oak bark.</p>
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<p>Absorption of different concentrations of biocide solutions used to impregnate Aile wood samples.</p>
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<p>Extract retention as a function of the concentration of biocide solution. Every colored shape represents a single evaluated sample.</p>
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<p>(<b>a</b>) Inoculation in culture bottles; (<b>b</b>) fungal growth in the feeding block; (<b>c</b>) cubes exposition to the fungus; (<b>d</b>) culture bottles at 6 weeks and (<b>e</b>) at test completion.</p>
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<p>Weight loss as a function of the quantity of retained biocide substance. Every colored shape represents a single evaluated sample.</p>
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<p>Average leaching percentage as a function of the average retention of biocide substances (14th day).</p>
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18 pages, 1845 KiB  
Article
Biomass Identification from Proximate Analysis: Characterization of Residual Vegetable Materials in Andean Areas
by Borja Velázquez Martí, Juan Gaibor-Chávez, John Eloy Franco Rodríguez and Isabel López Cortés
Agronomy 2023, 13(9), 2347; https://doi.org/10.3390/agronomy13092347 - 9 Sep 2023
Cited by 6 | Viewed by 1993
Abstract
This work was aimed at the characterization of residual generated biomass from pruned tree species present in the Andean areas of Ecuador as a source of energy, both in plantations and in urban areas, as a response to the change in the energy [...] Read more.
This work was aimed at the characterization of residual generated biomass from pruned tree species present in the Andean areas of Ecuador as a source of energy, both in plantations and in urban areas, as a response to the change in the energy matrix proposed by the Ecuadorian government. From the proximate analysis (volatiles, ashes, and fixed carbon content), elemental analysis (C, H, N, S, O, and Cl), structural analysis (cellulose, lignin, and hemicellulose content), and higher heating value, the studied species were pine (Pinus radiata), cypress (Cupressus macrocarpa), eucalyptus (Eucalyptus globulus), poplar (Populus sp.), arupo (Chionanthus pubescens), alder (Alnus Acuminata), caper spurge (Euphorbia laurifolia), and lime (Sambucus nigra L.) trees. We evaluated the influence of the presence of leaves in the biomass. From this characterization, we developed a method based on obtaining the main components for the identification of the biomass’s species. If the origin of the biomass was unknown, this method enabled us to identify the species, with all its characteristics. If the origin of the biomass was unknown, this innovative method enabled the identification of the species from the lignocellulosic biomass, with all of its characteristics. Finally, we developed regression models that relate the higher heating value to the elemental, proximate, and structural composition. Full article
(This article belongs to the Special Issue Agricultural Biomass Waste Conversion into Value-Added Products)
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Figure 1
<p>LSD intervals of the analysis of variance on the HHV at the 95% confidence level.</p>
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<p>Two-phase diagram for variable influence analysis.</p>
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<p>Biphasic diagrams of the principal components: (<b>a</b>) for 8 species (<b>b</b>) for 6 species.</p>
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<p>Biphasic diagrams of the principal components: (<b>a</b>) for 8 species (<b>b</b>) for 6 species.</p>
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<p>Decision areas for species identification: (<b>a</b>) 8 species and (<b>b</b>) 6 species based on proximate analysis and calculation of principal components.</p>
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<p>Variation in ash content with the percentage of leaves in the sample.</p>
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<p>Variation in higher heating value with the percentage of leaves in the sample.</p>
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12 pages, 2911 KiB  
Article
Effects of Pesticides on the Survival of Shredder Nectopsyche sp. (Trichoptera) and Leaf Decomposition Rates in Tropical Andes: A Microcosm Approach
by Christian Villamarín, Miguel Cañedo-Argüelles, Constanza Carvajal-Rebolledo and Blanca Ríos-Touma
Toxics 2022, 10(12), 720; https://doi.org/10.3390/toxics10120720 - 24 Nov 2022
Cited by 2 | Viewed by 2081
Abstract
Andean streams are becoming increasingly impacted by agricultural activities. However, the potential effects of pesticides on their aquatic biodiversity remain unassessed. In order to address this knowledge gap, we conducted an experiment over 37 days in microcosms to assess the effect of two [...] Read more.
Andean streams are becoming increasingly impacted by agricultural activities. However, the potential effects of pesticides on their aquatic biodiversity remain unassessed. In order to address this knowledge gap, we conducted an experiment over 37 days in microcosms to assess the effect of two pesticides commonly used in Ecuador (Engeo and Chlorpyrifos) on the aquatic insect Nectopsyche sp. (Trichoptera: Leptoceridae) at 0, 0.10, 5 and 10 μg L−1 concentrations. The highest concentration corresponds to the maximum concentration allowed by the Equatorian legislation. We assessed insect mortality every 24 h, with leaf litter decomposition rates of organic matter determined by deploying Andean alder (Alnus acuminata) dry leaf packs in the microcosms. We found significant mortality of Nectopsyche sp. at high concentrations of Chlorpyrifos, whereas leaf litter was not significantly affected by any of the treatments. We conclude that the environmental legislation of Ecuador might not be fully protecting aquatic biodiversity from pesticide pollution. Further studies are needed, especially when considering that the maximum permitted concentration is very likely exceeded in many areas of the country. We also suggest that the maximum permissible values should be reviewed, considering each pesticide individually. Full article
(This article belongs to the Special Issue Effect of Pesticides on Insects and Other Arthropods)
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Figure 1
<p>(<b>A</b>) Microcosm design. (<b>B</b>) Distribution of the microcosm in the experimental room under controlled light and temperature conditions.</p>
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<p>Survival analysis of <span class="html-italic">Nectopsyche</span> sp. related by different concentrations of Chlorpyrifos (C_ L: Low, C_M: Middle; C_H: High) and Engeo (E_L: Low, E_M: Middle; E_H: High). C corresponds to the experimental control. The letters on the box plots correspond to significant differences in the Tukey test between treatments and the control, no shared letters show significant differences.</p>
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<p>Survival analysis of <span class="html-italic">Nectopsyche sp.</span> related by experiment time with Chlorpyrifos (<b>A</b>) and Engeo (<b>B</b>). C corresponds to experimental control, C_ corresponds to Chlorpyrifos low (L), middle (M) and high (H) concentrations and E_ corresponds to Engeo low (L) middle (M) and high (H) concentrations.</p>
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<p>Decomposition rate in experiments with Chlorpyrifos (<b>A</b>) and Engeo (<b>B</b>). The letter Bin the figure legend corresponds to the experimental control without <span class="html-italic">Nectopsyche</span> sp. and BH corresponds to experimental control with <span class="html-italic">Nectopsyche</span> sp. C corresponds to Chlorpyrifos low (CL), middle (CM), and high (CH) concentrations. E corresponds to Engeo low (EL), middle (EM), and high (EH) concentrations.</p>
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<p>Variable importance explaining changes in mortality according to Random Forests.</p>
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<p>Variation in pH along time between treatments.</p>
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<p>Variable importance explaining changes in leaf decomposition according to Random Forests.</p>
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