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5 pages, 507 KiB  
Data Descriptor
Long-Term Outdoor Cultivation of Nannochloropsis in California, Hawaii, and New Mexico
by Alina A. Corcoran, Marcela Saracco Alvarez, Taryn Cornell, Isidora Echenique-Subiabre, Julia Gerber, Stephanie Getto, Ahlem Jebali, Heather Martinez, Jakob O. Nalley, Charles J. O’Kelly, Aidan Ryan, Jonathan B. Shurin and Shawn R. Starkenburg
Data 2024, 9(11), 126; https://doi.org/10.3390/data9110126 - 29 Oct 2024
Viewed by 511
Abstract
The project “Optimizing Selection Pressures and Pest Management to Maximize Cultivation Yield” (OSPREY, award #DE-EE08902) was undertaken to enhance the annual productivity, stability, and quality of algal production strains for biofuels and bioproducts. The foundation of this project was the year-round cultivation of [...] Read more.
The project “Optimizing Selection Pressures and Pest Management to Maximize Cultivation Yield” (OSPREY, award #DE-EE08902) was undertaken to enhance the annual productivity, stability, and quality of algal production strains for biofuels and bioproducts. The foundation of this project was the year-round cultivation of a Nannochloropsis strain across three outdoor systems in California, Hawaii, and New Mexico. We aimed to leverage environmental selection pressures to drive strain improvement and use metagenomic techniques to inform pest management tools. The resulting dataset includes environmental and biological parameters from these cultivation campaigns, captured in a single CSV file. This dataset aims to serve a wide range of end users, from biologists to algal farmers, addressing the scarcity of publicly available data on algae cultivation. Further data releases will include 16S rRNA amplicon sequencing and shotgun sequencing datasets. Full article
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<p>Outdoor cultivation ponds at Cyanotech (<b>a</b>), NMSU (<b>b</b>), and UCSD (<b>c</b>).</p>
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23 pages, 877 KiB  
Article
Comprehensive Analysis of Teran Red Wine Aroma and Sensory Profiles: Impacts of Maceration Duration, Pre-Fermentation Heating Treatment, and Barrel Aging
by Sara Rossi, Ena Bestulić, Fumica Orbanić, Ivana Horvat, Igor Lukić, Anita Silvana Ilak Peršurić, Marijan Bubola, Tomislav Plavša and Sanja Radeka
Appl. Sci. 2024, 14(19), 8729; https://doi.org/10.3390/app14198729 - 27 Sep 2024
Viewed by 688
Abstract
This study investigates the effect of prolonged maceration, pre-fermentation heating, and barrel aging on the volatile aroma profile and sensory characteristics of Teran wine. The vinification processes included a control treatment (7-day maceration, TM7-Y; Y—young wine), 10-day maceration (TM10-Y), 21-day post-fermentation maceration (TM21-Y), [...] Read more.
This study investigates the effect of prolonged maceration, pre-fermentation heating, and barrel aging on the volatile aroma profile and sensory characteristics of Teran wine. The vinification processes included a control treatment (7-day maceration, TM7-Y; Y—young wine), 10-day maceration (TM10-Y), 21-day post-fermentation maceration (TM21-Y), and 48-h pre-fermentation heating at 45 °C followed by 8-day maceration (TPHT-Y). All wines were then aged in oak barrels for six months, resulting in TM7-A, TM10-A, TM21-A, and TPHT-A wines (A—aged wine). Volatile compounds were extracted using headspace solid-phase microextraction (HS-SPME) and analyzed by gas chromatography/mass spectrometry (GC/MS), while sensory profiles were evaluated using quantitative descriptive analysis (QDA). TPHT-Y and TM21-Y treatments reduced several groups of free volatile compounds while enhancing sensory properties, with TM21-Y wines notably exhibiting pronounced dried fruit notes, likely due to high β-damascenone concentrations. Conversely, TM10-Y and TM7-Y treatments resulted in significantly higher concentrations of the most volatile aroma compounds. Aging in oak barrels significantly increased the levels of particular free volatile compounds like C13-norisoprenoids, volatile phenols, furans, and lactones. It also enhanced sensory quality, with fruity aromas prominent across all treatments, and TM21-A and TPHT-A wines showing strong dried fruit, jam, and liqueur notes. This study offers valuable insights into tailoring wine aromas and sensory attributes through specific vinification techniques, contributing to a more refined approach to optimizing wine production. In conclusion, the findings highlight the importance of maceration and aging techniques in developing complex and desirable wine profiles, offering practical guidance for improving Teran wine quality. Full article
(This article belongs to the Special Issue Wine Technology and Sensory Analysis)
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<p>Perception of aroma group intensities obtained by the QDA of Teran young wines produced by different vinification treatments: QDA—quantitative descriptive analysis; TM7—a control treatment with 7 days of maceration; TM10—prolonged 10-day maceration; TM21—extended 21-day post-fermentation maceration; TPHT—48-h pre-fermentation maceration heating at 45 °C followed by 8 days of maceration.</p>
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<p>Perception of aroma group intensities obtained by the QDA of Teran aged wines produced by different vinification treatments: QDA—quantitative descriptive analysis; TM7—a control treatment with 7 days of maceration; TM10—prolonged 10-day maceration; TM21—extended 21-day post-fermentation maceration; TPHT—48-h pre-fermentation maceration heating at 45 °C followed by 8 days of maceration.</p>
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33 pages, 3669 KiB  
Article
Smoke Emissions and Buoyant Plumes above Prescribed Burns in the Pinelands National Reserve, New Jersey
by Kenneth L. Clark, Michael R. Gallagher, Nicholas Skowronski, Warren E. Heilman, Joseph Charney, Matthew Patterson, Jason Cole, Eric Mueller and Rory Hadden
Fire 2024, 7(9), 330; https://doi.org/10.3390/fire7090330 - 21 Sep 2024
Viewed by 641
Abstract
Prescribed burning is a cost-effective method for reducing hazardous fuels in pine- and oak-dominated forests, but smoke emissions contribute to atmospheric pollutant loads, and the potential exists for exceeding federal air quality standards designed to protect human health. Fire behavior during prescribed burns [...] Read more.
Prescribed burning is a cost-effective method for reducing hazardous fuels in pine- and oak-dominated forests, but smoke emissions contribute to atmospheric pollutant loads, and the potential exists for exceeding federal air quality standards designed to protect human health. Fire behavior during prescribed burns influences above-canopy sensible heat flux and turbulent kinetic energy (TKE) in buoyant plumes, affecting the lofting and dispersion of smoke. A more comprehensive understanding of how enhanced energy fluxes and turbulence are related during the passage of flame fronts could improve efforts to mitigate the impacts of smoke emissions. Pre- and post-fire fuel loading measurements taken during 48 operational prescribed burns were used to estimate the combustion completeness factors (CC) and emissions of fine particulates (PM2.5), carbon dioxide (CO2), and carbon monoxide (CO) in pine- and oak-dominated stands in the Pinelands National Reserve of southern New Jersey. During 11 of the prescribed burns, sensible heat flux and turbulence statistics were measured by tower networks above the forest canopy. Fire behavior when fire fronts passed the towers ranged from low-intensity backing fires to high-intensity head fires with some crown torching. Consumption of forest-floor and understory vegetation was a near-linear function of pre-burn loading, and combustion of fine litter on the forest floor was the predominant source of emissions, even during head fires with some crowning activity. Tower measurements indicated that above-canopy sensible heat flux and TKE calculated at 1 min intervals during the passage of fire fronts were strongly influenced by fire behavior. Low-intensity backing fires, regardless of forest type, had weaker enhancement of above-canopy air temperature, vertical and horizontal wind velocities, sensible heat fluxes, and TKE compared to higher-intensity head and flanking fires. Sensible heat flux and TKE in buoyant plumes were unrelated during low-intensity burns but more tightly coupled during higher-intensity burns. The weak coupling during low-intensity backing fires resulted in reduced rates of smoke transport and dispersion, and likely in more prolonged periods of elevated surface concentrations. This research facilitates more accurate estimates of PM2.5, CO, and CO2 emissions from prescribed burns in the Pinelands, and it provides a better understanding of the relationships among fire behavior, sensible heat fluxes and turbulence, and smoke dispersion in pine- and oak-dominated forests. Full article
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<p>Pre- and post-burn fuel loading by forest type for prescribed burns: (<b>a</b>) 48 prescribed burns conducted in the Pinelands from 2004 to 2020, and (<b>b</b>) the 11 instrumented prescribed burns. Data are tons ha<sup>−1</sup> ± 1 standard error for understory vegetation, 1 h + 10 h woody fuels, and fine litter.</p>
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<p>Pre-burn fuel loading and estimated consumption of (<b>a</b>) understory vegetation, (<b>b</b>) 1 h + 10 h woody fuels on the forest floor, and (<b>c</b>) fine litter and woody fuels on the forest floor during prescribed burns conducted in the Pinelands from 2004 to 2020. All values are tons ha<sup>−1</sup>.</p>
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<p>Estimated emissions of (<b>a</b>) PM<sub>2.5</sub>, (<b>b</b>) CO<sub>2</sub>, and (<b>c</b>) CO during low- and high-intensity instrumented prescribed burns. Values are means ± 1 standard error calculated using field measurements of pre- and post-burn fuel loading (M) or by using pre-burn fuel loading and the appropriate combustion completeness factors (CC) in <a href="#fire-07-00330-t004" class="html-table">Table 4</a>.</p>
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<p>Time series of above-canopy (<b>a</b>) air temperature measured at 10 Hz, (<b>b</b>) vertical wind velocity measured at 10 Hz, and (<b>c</b>) horizontal wind velocity measured at 10 Hz during a low-intensity backing fire in a pitch pine–scrub oak stand at Cedar Bridge in 2008 (blue line) and a high-intensity head fire in a pitch pine–scrub oak stand near Warren Grove in 2013 (yellow line).</p>
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<p>Maximum (<b>a</b>) Δ air temperature (°C), (<b>b</b>) Δ vertical wind velocity (m s<sup>−1</sup>), and (<b>c</b>) Δ horizontal wind velocity (m s<sup>−1</sup>) measured at 10 Hz, at 1 s and 1 min intervals, measured above the canopy during low- and high-intensity prescribed burns. Values are means ± 1 standard error.</p>
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<p>Relationships between above-canopy air temperature and vertical wind velocity measured at 10 Hz during low- and high-intensity prescribed burns in pine–oak and pine–scrub oak stands. Shown are (<b>a</b>) a backing fire at JBMDL in 2006 and (<b>b</b>) a flanking fire in Brendan Byrne SF in 2011, (<b>c</b>) a backing fire at Cedar Bridge in 2013 and (<b>d</b>) a head fire near Warren Grove in 2013, and (<b>e</b>) a mixed-behavior fire at Cedar Bridge in 2020 and (<b>f</b>) a head fire near Warren Grove in 2014. Blue dots indicate low-intensity burns and yellow dots indicate high-intensity burns.</p>
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<p>Time series of above-canopy (<b>a</b>) sensible heat flux calculated at 1 min intervals and (<b>b</b>) turbulent kinetic energy (TKE) at 1 min intervals measured during a low-intensity backing fire in a pitch pine–scrub oak stand at Cedar Bridge in 2008 (blue symbols) and a high-intensity head fire in a pitch pine–scrub oak stand near Warren Grove in 2013 (yellow symbols).</p>
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<p>Examples of the relationship between 1 min values of sensible heat flux (kW m<sup>−2</sup> min<sup>−1</sup>) and TKE (m<sup>−2</sup> s<sup>−2</sup>) at the top of the canopy during fire front passage during low- and high-intensity prescribed burns in the same pine–oak and pitch pine–scrub oak stands shown in <a href="#fire-07-00330-f006" class="html-fig">Figure 6</a>. Panels represent (<b>a</b>) a low-intensity backing fire at Fort Dix in 2006 and (<b>b</b>) a high-intensity flanking fire in Brendan Byrne State Forest in 2011, (<b>c</b>) a backing fire at Cedar Bridge in 2013 and a (<b>d</b>) head fire at Warren Grove in 2013, and (<b>e</b>) a mixed-behavior fire at Cedar Bridge in 2020 and (<b>f</b>) a head fire near Warren Grove in 2014. Slopes and intercepts of the linear relationship between H and TKE are shown, along with values of Spearman’s rank correlation coefficients and significance levels.</p>
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<p>Mean and maximum 1 min Δ values of sensible heat flux (kW m<sup>−2</sup>) and turbulent kinetic energy (m<sup>2</sup> s<sup>−2</sup>) measured at the top of the canopy during fire front passage. Values are (<b>a</b>) mean and (<b>b</b>) maximum 1 min Δ sensible heat flux, and (<b>c</b>) mean and (<b>d</b>) maximum 1 min Δ turbulent kinetic energy. Colored squares and error bars are average Δ values ± 1 standard error, and colored circles are Δ values from individual towers in burn areas.</p>
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<p>Relationships between Δ 1 min sensible heat flux (kW m<sup>−2</sup>) and Δ 1 min turbulent kinetic energy (m<sup>2</sup> s<sup>−2</sup>) measured above the canopy during fire front passage for all burn area towers. Values are (<b>a</b>) mean 1 min values of ΔH and ΔTKE, and (<b>b</b>) maximum 1 min values of ΔH and ΔTKE.</p>
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<p>The relationship between pre-burn loading and calculated combustion completeness factor (CC<sub>x</sub>) for (<b>a</b>) understory vegetation, (<b>b</b>) 1 h + 10 h woody fuels, (<b>c</b>) fine litter, and (<b>d</b>) total forest floor material. Pre-burn fuel loading is in g m<sup>−2</sup>, and mean ± 1 SD values for each coefficient are shown to the left of each scatterplot.</p>
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18 pages, 2726 KiB  
Article
Wood Quality of Pendulate Oak on Post-Agricultural Land: A Case Study Based on Physico-Mechanical and Anatomical Properties
by Karol Tomczak, Przemysław Mania, Jan Cukor, Zdeněk Vacek, Magdalena Komorowicz and Arkadiusz Tomczak
Forests 2024, 15(8), 1394; https://doi.org/10.3390/f15081394 - 9 Aug 2024
Viewed by 827
Abstract
Oak is one of the most economically important hardwood tree species in Europe, and its prevalence will increase due to progressing global climate change, according to predictive models. With the increasing demand for timber and with the need for a balance between carbon [...] Read more.
Oak is one of the most economically important hardwood tree species in Europe, and its prevalence will increase due to progressing global climate change, according to predictive models. With the increasing demand for timber and with the need for a balance between carbon emissions and sequestration, it is essential to address the afforestation of agricultural land. Therefore, this research aimed to investigate the physico-mechanical properties and anatomical structure of pendulate oak (Quercus robur L.) wood—specifically focusing on the trunk’s cross-section—in post-agricultural areas compared with the forest land in the western part of Poland. Wood density, bending strength, modulus of elasticity, and other parameters were analyzed from 1626 wood samples. The analysis of physico-mechanical properties reveals that, historically, agricultural land use has an almost negligible impact on wood quality. Despite significant differences in small vessel diameter and fiber length favoring trees from post-agricultural land, the physico-mechanical properties remain consistent. Large vessel measurements show comparable diameter and length in both land types. These findings suggest that post-agricultural land can serve as an effective alternative for high-quality pendulate oak wood production for industrial purposes. However, wood from post-agricultural land may exhibit a decrease in modulus of rupture by over 30% and potentially lower density above the trunk’s halfway point. This observation hints at the fact that oak trees in post-agricultural areas could be cultivated in shorter rotation periods compared to forest land. Full article
(This article belongs to the Section Wood Science and Forest Products)
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<p>Wood samples processing: (<b>A</b>–<b>C</b>) cutting and grinding boards from the core board; (<b>D</b>,<b>E</b>) selection and marking of wood samples.</p>
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<p>(<b>A</b>) Radial variability in wood density on former agricultural (in blue) and forest (in green) lands; (<b>B</b>) Descriptive density statistics for wood collected from both types of land. Whiskers correspond to minimum and maximum values, boxes represent the 1st and 3rd quartile values, midlines indicate the median, and the black dot represents the mean.</p>
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<p>(<b>A</b>) Radial variability in bending strength on former agricultural (in blue) and forest (in green) lands; (<b>B</b>) Descriptive statistics for bending strength of wood collected from both types of land. Whiskers correspond to minimum and maximum values, boxes represent the 1st and 3rd quartile values, midlines indicate the median, and the black dot represents the mean.</p>
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<p>(<b>A</b>) Radial variability in modulus of elasticity on former agricultural (in blue) and forest (in green) lands; (<b>B</b>) Descriptive statistics for modulus of elasticity of wood collected from both types of land. Whiskers correspond to minimum and maximum values, boxes represent the 1st and 3rd quartile values, midlines indicate the median, and the black dot represents the mean.</p>
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<p>Correlation between (<b>A</b>) density [g/cm<sup>3</sup>] and bending strength [MPa], and (<b>B</b>) modulus of elasticity [MPa] and bending strength [MPa].</p>
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<p>Radial variation in average annual ring width [mm] on former agricultural (in blue) and forest (in green) lands. Whiskers correspond to minimum and maximum values, boxes represent the 1st and 3rd quartile values, midlines indicate the median, and the black dot represents the mean.</p>
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<p>Radial variation in (<b>A</b>) diameter of large vessels and (<b>B</b>) length of large vessels on former agricultural (in blue) and forest (in green) lands. Whiskers correspond to minimum and maximum values, boxes represent the 1st and 3rd quartile values, midlines indicate the median, and the black dot represents the mean.</p>
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<p>Radial variation in (<b>A</b>) diameter of small vessels and (<b>B</b>) length of small vessels on former agricultural (in blue) and forest (in green) lands. Whiskers correspond to minimum and maximum values, boxes represent the 1st and 3rd quartile values, midlines indicate the median, and the black dot represents the mean.</p>
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<p>Radial variation in fiber length on former agricultural (in blue) and forest (in green) lands. Whiskers correspond to minimum and maximum values, boxes represent the 1st and 3rd quartile values, midlines indicate the median, and the black dot represents the mean.</p>
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19 pages, 51994 KiB  
Article
Assessing the Impact of Clearing and Grazing on Fuel Management in a Mediterranean Oak Forest through Unmanned Aerial Vehicle Multispectral Data
by Luís Pádua, João P. Castro, José Castro, Joaquim J. Sousa and Marina Castro
Drones 2024, 8(8), 364; https://doi.org/10.3390/drones8080364 - 31 Jul 2024
Viewed by 1012
Abstract
Climate change has intensified the need for robust fire prevention strategies. Sustainable forest fuel management is crucial in mitigating the occurrence and rapid spread of forest fires. This study assessed the impact of vegetation clearing and/or grazing over a three-year period in the [...] Read more.
Climate change has intensified the need for robust fire prevention strategies. Sustainable forest fuel management is crucial in mitigating the occurrence and rapid spread of forest fires. This study assessed the impact of vegetation clearing and/or grazing over a three-year period in the herbaceous and shrub parts of a Mediterranean oak forest. Using high-resolution multispectral data from an unmanned aerial vehicle (UAV), four flight surveys were conducted from 2019 (pre- and post-clearing) to 2021. These data were used to evaluate different scenarios: combined vegetation clearing and grazing, the individual application of each method, and a control scenario that was neither cleared nor purposely grazed. The UAV data allowed for the detailed monitoring of vegetation dynamics, enabling the classification into arboreal, shrubs, herbaceous, and soil categories. Grazing pressure was estimated through GPS collars on the sheep flock. Additionally, a good correlation (r = 0.91) was observed between UAV-derived vegetation volume estimates and field measurements. These practices proved to be efficient in fuel management, with cleared and grazed areas showing a lower vegetation regrowth, followed by areas only subjected to vegetation clearing. On the other hand, areas not subjected to any of these treatments presented rapid vegetation growth. Full article
(This article belongs to the Section Drones in Agriculture and Forestry)
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<p>Location of the study site within Portugal’s mainland and its NUTS (Nomenclature of Territorial Units for Statistics) II regions (<b>a</b>). Monthly mean temperature and accumulated precipitation in the study area between January 2019 and July 2021 (<b>b</b>,<b>c</b>) the climatological normal of Mirandela (data from the Portuguese Institute for Sea and Atmosphere, IPMA, Lisbon, Portugal).</p>
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<p>Study area overview: (<b>a</b>) spatial arrangement of the treatment plots, transects and fenced area after vegetation clearing operations; (<b>b</b>) vegetation volume determination using the intercepting line method (as of May 2021); and (<b>c</b>) cleared and not grazed plot, fenced after vegetation clearing. C: Cleared; G: Grazed; NC: Not cleared; NG: Not grazed.</p>
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<p>Overview of the studied site at the different periods surveyed from orthophotos of true (<b>a</b>) and false color compositions (<b>b</b>). Near-infrared, green, and red bands were used to create the false-color compositions.</p>
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<p>Normalized difference vegetation index (<b>a</b>) computed from the multispectral data in each surveyed period and the canopy height models (<b>b</b>) computed from the photogrammetric processing of the RGB imagery.</p>
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<p>Land cover distribution over the surveyed periods (<b>a</b>) and the overall percentage of each class within the fenced area (<b>b</b>).</p>
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<p>Overview of the different analyzed treatment plots (white polygons) in the different surveyed periods (February 2019 and July 2019, 2020, and 2021).</p>
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<p>Overall percentage of land cover over the surveyed periods, excluding arboreal vegetation.</p>
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<p>Mean NDVI value per treatment plot over time (<b>a</b>) and the NDVI difference post-clearing compared with pre-clearing (<b>b</b>). The clearing time is marked with the red line.</p>
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<p>Volume for each treatment plot estimated for different periods (<b>a</b>), its variation percentage when compared to the previous flight campaign (<b>b</b>), and the comparison between field measurements and UAV-based data (<b>c</b>). The clearing time is marked with the red line.</p>
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<p>Grazing pressure density maps based on the point density of the GPS collars, with data computed from the five months prior to the flight campaigns in 2020 and 2021.</p>
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16 pages, 7677 KiB  
Article
A Comparison of Unpiloted Aerial System Hardware and Software for Surveying Fine-Scale Oak Health in Oak–Pine Forests
by Benjamin T. Fraser, Larissa Robinov, William Davidson, Shea O’Connor and Russell G. Congalton
Forests 2024, 15(4), 706; https://doi.org/10.3390/f15040706 - 17 Apr 2024
Viewed by 1138
Abstract
Spongy moth (Lymantria dispar dispar) has caused considerable damage to oak trees across eastern deciduous forests. Forest management, post-outbreak, is resource intensive and typically focused on ecosystem restoration or resource loss mitigation. Some local forest managers and government partners are exploring [...] Read more.
Spongy moth (Lymantria dispar dispar) has caused considerable damage to oak trees across eastern deciduous forests. Forest management, post-outbreak, is resource intensive and typically focused on ecosystem restoration or resource loss mitigation. Some local forest managers and government partners are exploring developing technologies such as Unpiloted Aerial Systems (UASs, UAVs, or drones) to enhance their ability to gather reliable fine-scale information. However, with limited resources and the complexity of investing in hardware, software, and technical expertise, the decision to adopt UAS technologies has raised questions on their effectiveness. The objective of this study was to evaluate the abilities of two UAS surveying approaches for classifying the health of individual oak trees following a spongy moth outbreak. Combinations of two UAS multispectral sensors and two Structure from Motion (SfM)-based software are compared. The results indicate that the overall classification accuracy differed by as much as 3.8% between the hardware and software configurations. Additionally, the class-specific accuracy for ’Declining Oaks‘ differed by 5–10% (producer’s and user’s accuracies). The processing experience between open-source and commercial SfM software was also documented and demonstrated a 25-to-75-fold increase in processing duration. These results point out major considerations of time and software accessibility when selecting between hardware and software options for fine-scale forest mapping. Based on these findings, future stakeholders can decide between cost, practicality, technical complexity, and effectiveness. Full article
(This article belongs to the Section Forest Inventory, Modeling and Remote Sensing)
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<p>From left to right, (<b>A</b>) Pine Hill Community Forest study site, located in northern New Hampshire (USA); (<b>B</b>) outline of the 50-hectare (ha) area mapped using both Unpiloted Aerial Systems (UASs); and (<b>C</b>) small portion of the orthoimagery created using the Mavic 3 Multispectral (M3M) sensor, demonstrating the oak–pine forest composition.</p>
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<p>Flowchart detailing the UAS hardware and software combinations used for this study as well as the major processing and analysis stages used to generate the final results.</p>
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<p>False color composite and natural color orthoimagery for individual samples of each of the four classes: (<b>A</b>) Healthy Oak, (<b>B</b>) Declining Oak, (<b>C</b>) Dead Oak, and (<b>D</b>) Healthy Conifer.</p>
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13 pages, 8036 KiB  
Article
Sustainable Composites Containing Post-Production Wood Waste as a Key Element of the Circular Economy: Processing and Physicochemical Properties
by Dorota Czarnecka-Komorowska, Damian Wachowiak, Krzysztof Gizelski, Wiktoria Kanciak, Darina Ondrušová and Mariana Pajtášová
Sustainability 2024, 16(4), 1370; https://doi.org/10.3390/su16041370 - 6 Feb 2024
Viewed by 1208
Abstract
This paper develops a technology for manufacturing a biocomposite using post-production wood waste as filler, but also as an alternative material that can substitute traditional composites. Three types of post-production wood waste, i.e., ash wood chips, oak chips and medium-density wood fiberboard (MDF), [...] Read more.
This paper develops a technology for manufacturing a biocomposite using post-production wood waste as filler, but also as an alternative material that can substitute traditional composites. Three types of post-production wood waste, i.e., ash wood chips, oak chips and medium-density wood fiberboard (MDF), were used in this study. Three different biocomposites were produced for each of these materials, differing in the content of waste to polymer. The biodegradable and compostable bioplastic Mater-Bi (CF05S) was obtained using the pioneering proprietary technologies of Novamont company using starches, cellulose, vegetable oils and their combinations. Mater-Bi was used as the matrix of the composite, which, due to its chemical composition, allows the production of fully biodegradable composites. The physicochemical properties, such as static tensile, impact, water absorption and hardness, were investigated. The results provide the basis for a detailed analysis of the properties of the biocomposites and made it possible to accurately determine their properties. The results show that the optimal solution is the Mater-Bi biocomposite with 20 wt.% oak filler content, which shows the most favorable adhesion strength and water absorption. The research conducted here is in the context of issues related to sustainability and a circular economy, through waste management, as well as through the production of biodegradable construction products. Full article
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<p>Examples of biocomposite applications in (<b>a</b>) the automotive industry and (<b>b</b>) the construction industry.</p>
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<p>Distribution curve of cumulative fraction (Q) and percentage fraction (P) of fillers used in the study: (<b>a</b>) ash wood, (<b>b</b>) oak and (<b>c</b>) MDF.</p>
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<p>Post-production wood waste (<b>a</b>); Mater-Bi with filler blend (<b>b</b>).</p>
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<p>Process parameters of Mater-Bi biocomposites extrusion.</p>
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<p>Components of the regranulate production line: a twin-screw extruder (<b>a</b>), extrudate in the form of a rode (<b>b</b>), air cooling system (<b>c</b>) and granulator (<b>d</b>).</p>
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<p>Equipment used to determine mechanical properties: Shore hardness tester (<b>a</b>), Charpy hammer (<b>b</b>) and universal testing strength machine (<b>c</b>).</p>
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<p>Mechanical properties of biomaterials: (<b>a</b>) hardness and (<b>b</b>) impact strength. Color indication: blue—pure Mater-Bi, orange—biocomposites containing 5 wt.% filler; gray—biocomposites containing 10 wt.% filler; yellow—biocomposites containing 20 wt.% filler.</p>
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<p>Mechanical properties of biomaterials: (<b>a</b>) tensile modulus, (<b>b</b>) tensile strength, (<b>c</b>) tensile at break and (<b>d</b>) elongation at break. Color indication: blue—pure Mater-Bi, orange—biocomposites containing 5 wt.% filler; gray—biocomposites containing 10 wt.% filler; yellow—biocomposites containing 20 wt.% filler.</p>
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<p>Mechanical properties of biomaterials: (<b>a</b>) tensile modulus, (<b>b</b>) tensile strength, (<b>c</b>) tensile at break and (<b>d</b>) elongation at break. Color indication: blue—pure Mater-Bi, orange—biocomposites containing 5 wt.% filler; gray—biocomposites containing 10 wt.% filler; yellow—biocomposites containing 20 wt.% filler.</p>
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<p>Microscopic images of biocomposites: (<b>a</b>) MB1/5, (<b>b</b>) MB1/10, (<b>c</b>) MB1/20, (<b>d</b>) MB2/5, (<b>e</b>) MB2/10, (<b>f</b>) MB2/20, (<b>g</b>) MB3/5, (<b>h</b>) MB3/10 and (<b>i</b>) MB3/20.</p>
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13 pages, 2086 KiB  
Technical Note
Development of a Culinary Medicine Toolkit to Improve Implementation of Virtual Cooking Classes for Low-Income Adults with Type 2 Diabetes
by David Ai, Natalia I. Heredia, Vanessa Cruz, Diana C. Guevara, Shreela V. Sharma, Dolores Woods, Melisa Danho and John Wesley McWhorter
Healthcare 2024, 12(3), 343; https://doi.org/10.3390/healthcare12030343 - 30 Jan 2024
Cited by 1 | Viewed by 1485
Abstract
Culinary medicine (CM) addresses diseases through nutrition and culinary education. To promote access to educational material for people with diabetes and engagement in virtual classes, we created a virtual culinary medicine toolkit (VCMT) sensitive to literacy levels and language preferences. The VCMT was [...] Read more.
Culinary medicine (CM) addresses diseases through nutrition and culinary education. To promote access to educational material for people with diabetes and engagement in virtual classes, we created a virtual culinary medicine toolkit (VCMT) sensitive to literacy levels and language preferences. The VCMT was developed to accompany existing virtual CM programs and help improve participant interaction and retention, offering educational materials for providers and participants. The provider VCMT offers level-setting education to reduce mixed nutrition messaging, including educational resources discussing inclusive nutrition and mindful eating topics. Each handout has a QR code and link to engaging, animated videos that provide further explanation. The participant VCMT offers a range of fundamental cooking skill videos and infographics, including knife skills and preparing whole grains and healthy beverages. Participant handouts and animated videos, which are played during the virtual CM class, allow participants to learn more about diabetes management and food literacy topics, including interpreting nutrition labels, and are employed during a CM to facilitate discussion and reflection. The animated videos replace a traditional slide-based lecture, allowing space for patient-centered facilitated discussions during virtual cooking sessions. The VCMT could guide the development of virtual CM interventions to shift learning from lecture-based to patient-centered discussions via a visual and inclusive medium. Full article
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<p>An excerpt from the Spanish version of the patient VCMT.</p>
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<p>The English version of <a href="#healthcare-12-00343-f001" class="html-fig">Figure 1</a> for reference.</p>
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<p>The provider VCMT outlines tips to facilitate communication with patients on many topics, including culturally sensitive nutrition, encouraging exercise, and delivering patient-centered care.</p>
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<p>The provider VCMT serves to encourage providers to consider external factors that may affect patients’ dietary patterns. Please note that superscripts 1–4 in the image correspond citations [<a href="#B24-healthcare-12-00343" class="html-bibr">24</a>,<a href="#B25-healthcare-12-00343" class="html-bibr">25</a>,<a href="#B26-healthcare-12-00343" class="html-bibr">26</a>,<a href="#B27-healthcare-12-00343" class="html-bibr">27</a>].</p>
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18 pages, 1891 KiB  
Article
The Effects of Fire Severity on Vegetation Structural Complexity Assessed Using SAR Data Are Modulated by Plant Community Types in Mediterranean Fire-Prone Ecosystems
by Laura Jimeno-Llorente, Elena Marcos and José Manuel Fernández-Guisuraga
Fire 2023, 6(12), 450; https://doi.org/10.3390/fire6120450 - 24 Nov 2023
Viewed by 2157
Abstract
Vegetation structural complexity (VSC) plays an essential role in the functioning and the stability of fire-prone Mediterranean ecosystems. However, we currently lack knowledge about the effects of increasing fire severity on the VSC spatial variability, as modulated by the plant community type in [...] Read more.
Vegetation structural complexity (VSC) plays an essential role in the functioning and the stability of fire-prone Mediterranean ecosystems. However, we currently lack knowledge about the effects of increasing fire severity on the VSC spatial variability, as modulated by the plant community type in complex post-fire landscapes. Accordingly, this study explored, for the first time, the effect of fire severity on the VSC of different Mediterranean plant communities one year after fire by leveraging field inventory and Sentinel-1 C-band synthetic aperture radar (SAR) data. The field-evaluated VSC retrieved in post-fire scenarios from Sentinel-1 γ0 VV and VH backscatter data featured high fit (R2 = 0.878) and low predictive error (RMSE = 0.112). Wall-to-wall VSC estimates showed that plant community types strongly modulated the VSC response to increasing fire severity, with this response strongly linked to the regenerative strategies of the dominant species in the community. Moderate and high fire severities had a strong impact, one year after fire, on the VSC of broom shrublands and Scots pine forests, dominated by facultative and obligate seeder species, respectively. In contrast, the fire-induced impacts on VSC were not significantly different between low and moderate fire-severity scenarios in communities dominated by resprouter species, i.e., heathlands and Pyrenean oak forests. Full article
(This article belongs to the Special Issue The Use of Remote Sensing Technology for Forest Fire)
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<p>Location of the Sierra the Cabrera wildfire in the western Mediterranean Basin, fire severity classification layer according to the difference of the Normalized Burn Ratio (dNBR) thresholds, and location of the Composite Burn Index (CBI) and vertical structural complexity (VSC) field plots. The background image corresponds to a hillshade product computed from a digital elevation model (DEM) acquired from the Spanish National Plan for Aerial Orthophotography (PNOA).</p>
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<p>Linear relationship between the difference of the Normalized Burn Ratio index (dNBR) computed from Sentinel-2 MSI pre- and post-fire imagery and the Composite Burn Index (CBI) measured in the field.</p>
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<p>Relationships between Sentinel-1 γ<sup>0</sup> VV and VH backscatter data and field-measured vertical structural complexity (VSC), as well as between the observed and predicted VSC. The dotted black line represents the 1:1 line.</p>
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<p>Wall-to-wall estimates of vertical structural complexity (VSC) within the study site computed from Sentinel-1 γ<sup>0</sup> VV and VH backscatter data.</p>
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<p>Boxplot depicting the relationship between fire severity and vertical structural complexity (VSC) within the study site. We also show linear mixed model (LMM) results. Lowercase letters in the boxplot denote significant differences at the 0.05 level between fire severity scenarios in Tukey’s HSD test.</p>
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<p>Boxplot depicting the relationship among fire severity, plant community, and vertical structural complexity (VSC) within the study site. We also show linear model results corresponding to those shown in <a href="#fire-06-00450-t002" class="html-table">Table 2</a>. Lowercase letters in the boxplot denote significant differences at the 0.05 level between fire severity scenarios in the Tukey’s HSD test within each plant community. Significance levels are represented by *** (<span class="html-italic">p</span>-value &lt; 0.001), ** (<span class="html-italic">p</span>-value &lt; 0.01), * (<span class="html-italic">p</span>-value &lt; 0.05), and “none” (<span class="html-italic">p</span>-value &gt; 0.05).</p>
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13 pages, 4116 KiB  
Article
Terrestrial vs. UAV-Based Remote Measurements in Log Volume Estimation
by Andreja Đuka, Ivica Papa, Mihael Lovrinčević, Zoran Bumber, Tomislav Poršinsky and Kristijan Tomljanović
Remote Sens. 2023, 15(21), 5143; https://doi.org/10.3390/rs15215143 - 27 Oct 2023
Cited by 1 | Viewed by 1162
Abstract
This study compared oak butt-log volume estimations gained through terrestrial measurements in the forest stand with a remote approach using an unmanned aerial system (UAS) and photogrammetric post-processing. Terrestrial measurements were conducted in the lowland part of Croatia after a completed motor–manual final [...] Read more.
This study compared oak butt-log volume estimations gained through terrestrial measurements in the forest stand with a remote approach using an unmanned aerial system (UAS) and photogrammetric post-processing. Terrestrial measurements were conducted in the lowland part of Croatia after a completed motor–manual final felling of a 140-year-old even-aged oak stand. Butt-logs’ volumes were estimated with four methods: the sectioning method and Huber’s, Smailan’s and Riecke–Newton’s methods. Measuring diameters and lengths and estimating volumes remotely were based on orthophotos using four different software: ArcGIS, QGIS, AutoCAD and Pix4D. Riecke–Newton’s method for volume estimation had the smallest relative bias of +1.74%, while for Huber’s method it was −8.07% and with Smailan’s method it was +21.23%. Log volume estimations gained remotely via ArcGIS and QGIS were, in the case of Huber’s method, at +3.63% relative bias, and in the case of Riecke–Newton’s method at +1.39% relative bias. Volume estimation using the sectioning method resulted in a total of 51.334 m3 for the whole sample, while the sectioning method performed with the help of AutoCAD resulted in 55.151 m3, i.e., +7.43% relative bias. Volume estimation of thirty oak butt-logs given by Pix4D software (version 4.8.4) resulted in +9.34% relative bias (56.134 m3). Comparing terrestrial measurements and the volume estimations based on them to those gained remotely showed a very high correlation in all cases. This study showed that using a UAS for log volume estimation surveys has the potential for broader use, especially after final felling in even-aged forests where the remaining trees in the stand would not block photogrammetric analysis. Full article
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<p>Chosen thirty pedunculate butt-logs (<b>left</b>) and butt-log no.10 (<b>right</b>).</p>
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<p>Log volume estimation sectioning method vs. common volume formulas.</p>
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<p>Positioning of measurements SED, MED, LED and lengths on logs using (<b>A</b>) three-band raster and (<b>B</b>) single-band raster.</p>
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<p>Data fit of logs’ dimensions measured in the stand and with ArcGIS.</p>
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<p>RMSE of measured dimensions and volume estimations.</p>
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<p>AutoCAD analysis on (<b>A</b>) a three-band raster and (<b>B</b>) a single-band raster.</p>
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<p>Detail of the inner and outer diameter of the section in AutoCAD analysis.</p>
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<p>Correlation between section diameters and logs’ lengths measured in the stand and with AutoCAD.</p>
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<p>Correlation between butt-log volume estimated via the sectioning method terrestrially and remotely.</p>
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<p>Pix4D volume calculation.</p>
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12 pages, 5388 KiB  
Article
Burn Severity Effect on the Short-Term Functional Response of Quercus ilex after Fire
by Antonio Parra and M. Belén Hinojosa
Fire 2023, 6(8), 286; https://doi.org/10.3390/fire6080286 - 28 Jul 2023
Viewed by 1198
Abstract
Understanding how fire severity affects resprouting plants during post-fire regeneration is key to anticipating Mediterranean vegetation vulnerability in a context of increasingly large fires with high intensity and severity due to climate change. Here, we monitored the water status, leaf gas exchange, and [...] Read more.
Understanding how fire severity affects resprouting plants during post-fire regeneration is key to anticipating Mediterranean vegetation vulnerability in a context of increasingly large fires with high intensity and severity due to climate change. Here, we monitored the water status, leaf gas exchange, and plant growth in holm oaks (Quercus ilex) of central Spain burned with different fire severity throughout the first post-fire year. The Q. ilex burned with high severity (HB+) showed higher water potential and shoot growth than those burned with low severity (LB+) or unburned (B−), especially during spring and summer. In summer, resprouting HB+ and LB+ plants exhibited higher carbon assimilation than unburned ones. Moreover, we also found that plants with higher water availability and growth, i.e., HB+ individuals, had higher specific leaf area and lower water use efficiency. Overall, our study shows that holm oak forests exhibit high plasticity to fire and that Q. ilex burned with high severity have a faster short-term regeneration than those burned with low severity. However, this rapid regeneration is based on a less conservative water-use strategy, which could jeopardize their populations in case of extreme drought events increasingly common in the current context of climate change. Full article
(This article belongs to the Special Issue Mediterranean Fires)
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<p>(<b>a</b>) Overview of the study area during (picture modified from [<a href="#B38-fire-06-00286" class="html-bibr">38</a>]) and after the fire. (<b>b</b>) Detail of an unburned <span class="html-italic">Q. ilex</span> (B−), and resprouts of <span class="html-italic">Q. ilex</span> burned with low (LB+) and high (HB+) severity.</p>
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<p>Mean maximum (dotted line), medium (solid line), and minimum (dashed line) temperature and accumulated rainfall (bars) seasonally recorded during the study period.</p>
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<p>(<b>a</b>) Soil moisture (SM) and (<b>b</b>) predawn shoot water potential (Ψ<sub>pd</sub>) seasonally recorded (mean ± s.e.) for <span class="html-italic">Q. ilex</span> unburned (B−), and burned with low (LB+) and high (HB+) severity. The asterisks (*) show statistically significant differences among treatments within each season (<span class="html-italic">p</span> ≤ 0.05). Lowercase letters denote statistically homogeneous subsets from <span class="html-italic">post hoc</span> pairwise comparisons for the entire study period.</p>
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<p>(<b>a</b>) Net carbon assimilation (A) and (<b>b</b>) intrinsic water use efficiency (WUE<sub>i</sub>) seasonally recorded (mean ± s.e.) for <span class="html-italic">Q. ilex</span> unburned (B−), and burned with low (LB+) and high (HB+) severity. The asterisks (*) show statistically significant differences among treatments within each season (<span class="html-italic">p</span> ≤ 0.05). Lowercase letters denote statistically homogeneous subsets from <span class="html-italic">post hoc</span> pairwise comparisons for the entire study period.</p>
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<p>(<b>a</b>) Shoot growth (SG) and (<b>b</b>) specific leaf area (SLA) seasonally recorded (mean ± s.e.) for <span class="html-italic">Q. ilex</span> unburned (B−), and burned with low (LB+) and high (HB+) severity. The asterisks (*) show statistically significant differences among treatments within each season (<span class="html-italic">p</span> ≤ 0.05). Lowercase letters denote statistically homogeneous subsets from <span class="html-italic">post hoc</span> pairwise comparisons for the entire study period.</p>
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18 pages, 4345 KiB  
Article
Long-Term Persistence of Three Microbial Wildfire Biomarkers in Forest Soils
by Antonio J. Fernández-González, Ana V. Lasa, José F. Cobo-Díaz, Pablo J. Villadas, Antonio J. Pérez-Luque, Fernando M. García-Rodríguez, Susannah G. Tringe and Manuel Fernández-López
Forests 2023, 14(7), 1383; https://doi.org/10.3390/f14071383 - 6 Jul 2023
Cited by 3 | Viewed by 2864
Abstract
Long-term monitoring of microbial communities in the rhizosphere of post-fire forests is currently one of the key knowledge gaps. Knowing the time scale of the effects is indispensable to aiding post-fire recovery in vulnerable woodlands, including holm oak forests, that are subjected to [...] Read more.
Long-term monitoring of microbial communities in the rhizosphere of post-fire forests is currently one of the key knowledge gaps. Knowing the time scale of the effects is indispensable to aiding post-fire recovery in vulnerable woodlands, including holm oak forests, that are subjected to a Mediterranean climate, as is the case with forests that are found in protected areas such as the Sierra Nevada National and Natural Park in southeastern Spain. We took rhizosphere soil samples from burned and unburned holm oak trees approximately 3, 6, and 9 years after the 2005 fire that devastated almost 3500 ha in southeastern Spain. We observed that the prokaryotic communities are recovering but have not yet reached the conditions observed in the unburned forest. A common denominator between this fire and other fires is the long-term persistence of three ecosystem recovery biomarkers—specifically, higher proportions of the genera Arthrobacter, Blastococcus, and Massilia in soil microbial communities after a forest fire. These pyrophilous microbes possess remarkable resilience against adverse conditions, exhibiting traits such as xerotolerance, nitrogen mineralization, degradation of aromatic compounds, and copiotrophy in favorable conditions. Furthermore, these biomarkers thrive in alkaline environments, which persist over the long term following forest fires. The relative abundance of these biomarkers showed a decreasing trend over time, but they were still far from the values of the control condition. In conclusion, a decade does not seem to be enough for the complete recovery of the prokaryotic communities in this Mediterranean ecosystem. Full article
(This article belongs to the Section Forest Soil)
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<p>Alpha (<b>a</b>) and beta (<b>b</b>) diversity of prokaryotic communities. In panel a, <span class="html-italic">t</span>-test pairwise comparisons are shown as a double asterisk when <span class="html-italic">p</span> &lt; 0.01; as a single asterisk when <span class="html-italic">p</span> &lt; 0.05; and as a dot when <span class="html-italic">p</span> &lt; 0.1.</p>
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<p>Taxonomical profiles at phylum (<b>a</b>) and genus (<b>b</b>) levels. Phyla lower than 1% in average relative abundance are merged as “minor Phyla”. Genera lower than 1% in average relative abundance are not shown. Taxa with statistically significant higher abundance in unburned (UOF) and burned (BOF) holm oak forest rhizosphere soils are underlined and highlighted in bold green and bold black, respectively.</p>
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<p>Mean relative abundances of the eight genera present in both conditions, with statistically significant differences and a decreasing or increasing trend over time in any condition. UOF = unburned holm oak forest, BOF = burned holm oak forest. The numerals 3, 6, and 9 denote sampling times in years after fire.</p>
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<p>Constrained analysis of principal coordinates (CAP) of the rhizosphere soils of unburned holm oak forest (UOF) and burned holm oak forest (BOF). Only 3 and 9 yaf physicochemical data were available for this analysis. Vectors show only the parameters with a statistically significant effect on the prokaryotic communities.</p>
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<p>Prokaryotic and actinobacterial (<b>a</b>) biomass and their ratio (<b>b</b>) measured as <span class="html-italic">16S rRNA</span> gene copies per gram of soil. Data are shown in linear scale. Each point represents the average value of nine trees. Error bars represent the standard error.</p>
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<p>Location map of the Lanjarón fire. (<b>a</b>) Infrared ortophography with 0.25 m resolution generated from the digital photogrammetric flight of 06/10/2005 (source: Regional Government of Andalusia). (<b>b</b>) Fire severity map using the delta normalized burn ratio (dNBR), classified using the European Forest Fire Information Service (EFFIS) thresholds. Sampling points are shown.</p>
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<p>Temporal evolution of the annual NDVI for the sampling points. Vertical lines indicate the fire event (red line in September 2005) and the three sampling time points (2008, 2011, and 2014).</p>
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<p>Cumulative rainfall in the 120 days prior to the sampling dates for each year.</p>
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15 pages, 790 KiB  
Review
The Potential of Microalgae–Bacteria Consortia to Restore Degraded Soils
by Lina M. Gonzalez-Gonzalez and Luz E. de-Bashan
Biology 2023, 12(5), 693; https://doi.org/10.3390/biology12050693 - 9 May 2023
Cited by 8 | Viewed by 3663
Abstract
Soil restoration is one of the biggest challenges of this century. Besides the negative impacts of climate change, the current increase in food demands has put severe pressure on soil resources, resulting in a significant area of degraded land worldwide. However, beneficial microorganisms, [...] Read more.
Soil restoration is one of the biggest challenges of this century. Besides the negative impacts of climate change, the current increase in food demands has put severe pressure on soil resources, resulting in a significant area of degraded land worldwide. However, beneficial microorganisms, such as microalgae and plant growth-promoting bacteria, have an outstanding ability to restore soil health and fertility. In this mini-review, we summarize state-of-the-art knowledge on these microorganisms as amendments that are used to restore degraded and contaminated soils. Furthermore, the potential of microbial consortia to maximize beneficial effects on soil health and boost the production of plant-growth-promoting compounds within a mutualistic interaction is discussed. Full article
(This article belongs to the Topic Advances in Environmental Biotechnology (AEB))
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<p>Schematic diagram of the biostimulant activity of a microalgae–bacteria consortium to restore degraded soil.</p>
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21 pages, 2948 KiB  
Article
Modification of Epoxy Compositions by the Application of Various Fillers of Natural Origin
by Anna Sienkiewicz and Piotr Czub
Materials 2023, 16(8), 3149; https://doi.org/10.3390/ma16083149 - 17 Apr 2023
Cited by 6 | Viewed by 2067
Abstract
A series of composites based on epoxy resin filled with additives of natural origin were prepared to investigate the influence of such fillers on the properties of the epoxy compositions. For this purpose, the composites containing 5 and 10 wt.% of additive of [...] Read more.
A series of composites based on epoxy resin filled with additives of natural origin were prepared to investigate the influence of such fillers on the properties of the epoxy compositions. For this purpose, the composites containing 5 and 10 wt.% of additive of natural origin were obtained using the dispersion of oak wood waste and peanut shells in bisphenol A epoxy resin cured with isophorone-diamine. The oak waste filler had been obtained during the assembly of the raw wooden floor. The performed studies include testing of samples prepared using unmodified and chemically modified additives. Chemical modification via mercerization and silanization was performed to increase the poor compatibility between the highly hydrophilic fillers of natural origin and the hydrophobic polymer matrix. Additionally, the introduction of NH2 groups to the structure of modified filler via 3-aminopropyltriethoxysilane, potentially takes a part in co-crosslinking with the epoxy resin. Fourier Transformed Infrared Spectroscopy (FT–IR), as well as Scanning Electron Microscopy (SEM), were carried out, to study the influence of performed chemical modification on the chemical structure and morphology of wood and peanut shell flour. SEM analyses showed significant changes in the morphology of compositions with chemically modified fillers, indicating improved adhesion of the resin to lignocellulosic waste particles. Moreover, a series of mechanical (hardness, tensile strength, flexural strength, compressive strength, and impact strength) tests were carried out, to assess the influence of the application of fillers of natural origin on the properties of epoxy compositions. All composites with lignocellulosic filler were characterized by higher compressive strength (64.2 MPa—5%U-OF, 66.4%—SilOF, 63.2—5%U-PSF, and 63.8—5%SilPSF, respectively), compared to the values recorded for the reference epoxy composition without lignocellulosic filler (59.0 MPa—REF). The highest compressive strength, among all tested samples, was recorded for the composite filled with 10 wt.% of unmodified oak flour (69.1 MPa—10%U-OF). Additionally, higher values of flexural and impact strength, concerning pure BPA-based epoxy resin, were recorded for the composites with oak filler (respectively, flexural strength: 73.8 MPa—5%U-OF and 71.5 MPa—REF; impact strength: 15.82 kJ/m2—5%U-OF, 9.15 kJ/m2—REF). Epoxy composites with such mechanical properties might be considered as broadly understood construction materials. Moreover, samples containing wood flour as a filler exhibit better mechanical properties compared to those with peanut shell flour (tensile strength for samples containing post-mercerization filler: 48.04 MPa and 40.54 MPa; while post-silanization 53.53 MPa and 42.74 MPa for compositions containing 5 wt.% of wood and peanut shell flour, respectively). At the same time, it was found that increasing the weight share of flour of natural origin in both cases resulted in the deterioration of mechanical properties. Full article
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<p>Block diagram of the chemical modification process of lignocellulosic waste.</p>
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<p>Lignocellulosic filler for the application in epoxy composites: (<b>A</b>) unmodified waste oak flour; (<b>B</b>) mercerized oak flour; (<b>C</b>) silanized oak flour; (<b>D</b>) unmodified peanut shells flour; (<b>E</b>) mercerized peanut shells; and (<b>F</b>) silanized peanut shells flour.</p>
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<p>Silanization of lignocellulosic waste using 3-aminopropyltriethoxysilane. (<b>A</b>) the hydrolysis of silane molecules; (<b>B</b>) self-condensation of silanol molecules; (<b>C</b>) the adsorption of silanol molecules on the surface of the lignocellulosic filler; (<b>D</b>) the grafting of silanol molecules.</p>
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<p>FT–IR spectrum of unmodified and chemically modified fillers in a form of (<b>A</b>) waste oak flour (U-OF—unmodified oak flour; SilOF—silanized oak flour) and (<b>B</b>) peanut shell flour (U-PSF—unmodified peanut shell flour; SilPSF—silanized peanut shell flour).</p>
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<p>Mechanical properties of compositions based on Epidian 6 filled with wood or peanut shell flour: tensile strength and elongation at break (<b>A</b>), flexural strength and deflection of compositions (<b>B</b>), and compressive strength and compression set (<b>C</b>).</p>
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<p>SEM micrographs of the impact fracture surface of the epoxy composites of EP_5%U-OF composition filled with 5 wt.% of unmodified wood flour (<b>A</b>), and EP_5%SilOF composition filled with 5 wt.% of silanized wood flour (<b>B</b>).</p>
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<p>SEM micrographs of the impact fracture surface of the epoxy composites of EP_5%U-PSF composition filled with 5 wt.% of unmodified peanut shell flour (<b>A</b>), and EP_5%SilPSF composition filled with 5 wt.% of silanized peanut shell flour (<b>B</b>).</p>
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12 pages, 1074 KiB  
Article
Impact of Native Quercus robur and Non-Native Quercus rubra on Soil Properties during Post-Fire Ecosystem Regeneration
by Bartłomiej Woś, Agnieszka Józefowska, Tomasz Wanic and Marcin Pietrzykowski
Diversity 2023, 15(4), 559; https://doi.org/10.3390/d15040559 - 15 Apr 2023
Cited by 2 | Viewed by 1817
Abstract
Following disturbances, ecosystems are more susceptible to invasion by non-native species. Furthermore, it is important to determine the impact of alien tree species on soil regeneration processes during secondary succession. In this study, we analyzed the effect of native and late successional common [...] Read more.
Following disturbances, ecosystems are more susceptible to invasion by non-native species. Furthermore, it is important to determine the impact of alien tree species on soil regeneration processes during secondary succession. In this study, we analyzed the effect of native and late successional common oak (Quercus robur) and non-native red oak (Q. rubra) on soil physicochemical (pH, carbon, and nutrient content) and microbial properties (microbial biomass [Cmic] and respiration [RESP]) nearly 30 years after severe fire disturbance. Post-fire soils under Q. rubra had organic horizons with a greater mass, lower pH values, and depleted nutrient (N, Ca, K, Mg, and P) contents than soils under Q. robur. The impact of Q. robur as a late successional species on soil properties 30 years after a disturbance was similar to that of pioneer species (Scots pine, European larch, common birch, and black alder), as is indicated in previous studies. Most of the studied physicochemical (bulk density, soil organic carbon, N, Ca, K, and P content) and microbial (RESP and Cmic) soil parameters under Q. robur were within the ranges found for post-fire soils under pioneer tree species. Only the pH and Mg and Na contents in organic horizons were higher under Q. robur than under pioneer species. Our results indicate that Q. robur could be a valuable addition to reforestation sites after fire disturbance, especially in more fertile microhabitats. Due to the depletion of soil nutrients, care should be taken when introducing Q. rubra during the reforestation of post-fire sites, especially in larger groups. Full article
(This article belongs to the Special Issue Soil Ecosystem Restoration after Disturbances)
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<p>SOC content in litter Oi + Oe (<b>A</b>,<b>B</b>) and 0–5 cm mineral (<b>C</b>,<b>D</b>) horizons under common and red oak stands on studied post-fire site; means followed by the same lowercase (a) are not significantly different at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Nt content in litter Oi + Oe (<b>A</b>,<b>B</b>) and 0–5 cm mineral (<b>C</b>,<b>D</b>) horizons under two oak species on reforested post-fire site; means followed by different lowercase (a, b) are significantly different at <span class="html-italic">p</span> &lt; 0.05.</p>
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