Forest products and timber harvesting businesses were severely affected by the COVID-19 pandemic. This article describes how forest products companies used Paycheck Protection Program (PPP) loans to ...keep over 487,000 workers in the forest industry on payroll through the pandemic. This article also summarizes the Pandemic Assistance for Timber Harvesters and Haulers (PATHH) program, payments provided to timber harvesting and hauling businesses that experienced losses in revenue in 2020. Timber harvesting and hauling companies that received a PATHH payment reported US$1.27 trillion in total revenue lost between 2019 and 2020 because of the COVID-19 pandemic.
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BF, CEKLJ, IZUM, KILJ, NUK, PILJ, SAZU, UL, UM, UPUK
Abstract
Forestry data are complex—they are collected across long time periods, at different resolutions, and include multiple types and sources. Forestry professionals are increasingly relying on ...new technologies to make informed decisions using these data. This article describes nine practices that forestry professionals and their organizations can take to improve their everyday forest data analysis. By integrating these practices into their work, forestry professionals can sharpen their data management and analytical skills and contribute to more effective decisions made by their organizations.
Study Implications
Forestry professionals contribute to the collection and analysis of data, but less training is provided to them in managing, organizing, and communicating data. A considerable amount of time is spent organizing and restructuring data in forestry, but these actions do not lead to immediate results that can inform decisions. Creating a workplace culture where data are high-quality and trustworthy can assist forestry professionals in using their analytical skills to address problems in areas such as forestland acquisition, carbon sequestration, and ecosystem services. If data are going to continue to drive forest management and policy decisions at the stand, landscape, or national scale, then data analysis skills need to be valued by foresters and the organizations for which they work.
Abstract
White-tailed deer (Odocoileus virginianus Zimmerman) present numerous challenges for maintaining the health of forests in the US Lake States. Although many sources of data exist that provide ...coarse estimates of deer-browse impacts on plant survival and abundance (e.g., national forest inventories) or examine areas where deer are excluded (e.g., exclosures), few studies exist that use detailed tree seedling measurements across diverse stand conditions and forest types. This study evaluated four years of citizen science data collected in the Assessing Vegetation Impacts from Deer (AVID) program in Minnesota, USA. Results showed that average annual height growth of seedlings for nine browse-palatable species was 1.9 cm. For four of these tree species, annual height growth was not significantly different from zero. These results point to the challenges for the growth and survival of browse-palatable tree species in Minnesota under current deer population levels. Engaging the public through a citizen science project such as AVID showcases the importance of evaluating browse impacts on trees from white-tailed deer while simultaneously providing information to managers and decision makers about this important conservation concern.
Study Implications: Citizen scientists can collect data on important conservation issues with ecological implications. This study showcases data provided by volunteers in Minnesota’s Assessing Vegetation Impacts from Deer (AVID) program. These results showed that the growth of nine browse-palatable species grew minimally over a four-year span. Citizen science data like these can be used by state wildlife agencies to better understand forest-wildlife interactions and establish wildlife population harvest goals. Measurements of deer browse can also assist researchers by reducing the costs of data collection and providing a geographically diverse data set with detailed measurements of deer impacts to forest vegetation.
Mitochondrial disease is a family of genetic disorders characterized by defects in the generation and regulation of energy. Epilepsy is a common symptom of mitochondrial disease, and in the vast ...majority of cases, refractory to commonly used antiepileptic drugs. Ferroptosis is a recently-described form of iron- and lipid-dependent regulated cell death associated with glutathione depletion and production of lipid peroxides by lipoxygenase enzymes. Activation of the ferroptosis pathway has been implicated in a growing number of disorders, including epilepsy. Given that ferroptosis is regulated by balancing the activities of glutathione peroxidase-4 (GPX4) and 15-lipoxygenase (15-LO), targeting these enzymes may provide a rational therapeutic strategy to modulate seizure. The clinical-stage therapeutic vatiquinone (EPI-743, α-tocotrienol quinone) was reported to reduce seizure frequency and associated morbidity in children with the mitochondrial disorder pontocerebellar hypoplasia type 6. We sought to elucidate the molecular mechanism of EPI-743 and explore the potential of targeting 15-LO to treat additional mitochondrial disease-associated epilepsies.
Primary fibroblasts and B-lymphocytes derived from patients with mitochondrial disease-associated epilepsy were cultured under standardized conditions. Ferroptosis was induced by treatment with the irreversible GPX4 inhibitor RSL3 or a combination of pharmacological glutathione depletion and excess iron. EPI-743 was co-administered and endpoints, including cell viability and 15-LO-dependent lipid oxidation, were measured.
EPI-743 potently prevented ferroptosis in patient cells representing five distinct pediatric disease syndromes with associated epilepsy. Cytoprotection was preceded by a dose-dependent decrease in general lipid oxidation and the specific 15-LO product 15-hydroxyeicosatetraenoic acid (15-HETE).
These findings support the continued clinical evaluation of EPI-743 as a therapeutic agent for PCH6 and other mitochondrial diseases with associated epilepsy.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Forest ecosystems contribute substantially to carbon (C) storage. The dynamics of litter decomposition, translocation and stabilization into soil layers are essential processes in the functioning of ...forest ecosystems, as these processes control the cycling of soil organic matter and the accumulation and release of C to the atmosphere. Therefore, the spatial distribution of litter and soil C stocks are important in greenhouse gas estimation and reporting and inform land management decisions, policy, and climate change mitigation strategies. Here we explored the effects of spatial aggregation of climatic, biotic, topographic and soil variables on national estimates of litter and soil C stocks and characterized the spatial distribution of litter and soil C stocks in the conterminous United States (CONUS). Litter and soil variables were measured on permanent sample plots (n = 3303) from the National Forest Inventory (NFI) within the United States from 2000 to 2011. These data were used with vegetation phenology data estimated from LANDSAT imagery (30 m) and raster data describing environmental variables for the entire CONUS to predict litter and soil C stocks. The total estimated litter C stock was 2.07 ± 0.97 Pg with an average density of 10.45 ± 2.38 Mg ha−1, and the soil C stock at 0–20 cm depth was 14.68 ± 3.50 Pg with an average density of 62.68 ± 8.98 Mg ha−1. This study extends NFI data from points to pixels providing spatially explicit and continuous predictions of litter and soil C stocks on forest land in the CONUS. The approaches described illustrate the utility of harmonizing field measurements with remotely sensed data to facilitate modeling and prediction across spatial scales in support of inventory, monitoring, and reporting activities, particularly in countries with ready access to remotely sensed data but with limited observations of litter and soil variables.
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•Spatial patterns found in the estimated litter and soil carbon stocks in forests•Including Normalized Difference Vegetation Index facilitated the model predictions.•Forest disturbances caused statistically significant differences in litter carbon.•Estimates of litter and soil carbon stocks were 2.07 Pg and 14.68 Pg, respectively.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
•We synthesize the measurement and dynamics of dead wood carbon and decomposition.•Many protocols exist for inventorying standing dead trees and downed woody debris.•Research needs are presented to ...promote the accurate quantification of dead wood.•Issues presented here are hindered by unknowns of future global change scenarios.
The amount and dynamics of forest dead wood (both standing and downed) has been quantified by a variety of approaches throughout the forest science and ecology literature. Differences in the sampling and quantification of dead wood can lead to differences in our understanding of forests and their role in the sequestration and emissions of CO2, as well as in developing appropriate strategies for achieving dead wood-related objectives, including biodiversity protection, and procurement of forest bioenergy feedstocks. A thorough understanding of the various methods available for quantifying dead wood stores and decomposition is critical for comparing studies and drawing valid conclusions. General assessments of forest dead wood are conducted by numerous countries as a part of their national forest inventories, while detailed experiments that employ field-based and modeling methods to understand woody debris patterns and processes have greatly advanced our understanding of dead wood dynamics. We review methods for quantifying dead wood in forest ecosystems, with an emphasis on biomass and carbon attributes. These methods encompass various sampling protocols for inventorying standing dead trees and downed woody debris, and an assortment of approaches for forecasting wood decomposition through time. Recent research has provided insight on dead wood attributes related to biomass and carbon content, through the use of structural reduction factors and robust modeling approaches, both of which have improved our understanding of dead wood dynamics. Our review, while emphasizing temperate forests, identifies key research needs and knowledge which at present impede our ability to accurately characterize dead wood populations. In sum, we synthesize the current literature on the measurement and dynamics of forest dead wood carbon stores and decomposition as a baseline for researchers and natural resource managers concerned about forest dead wood patterns and processes.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
In the United States (US), forest ecosystems are the largest terrestrial carbon sink, offsetting the equivalent of >12 % of economy-wide greenhouse gas (GHG) emissions annually. In the Western US, ...wildfires have shaped much of the landscape by changing forest structure and composition, increasing tree mortality, impacting forest regeneration, and influencing forest carbon storage and sequestration capacity. Here, we used remeasurements of >25,000 plots from the US Department of Agriculture, Forest Service Forest Inventory and Analysis (FIA) program and auxiliary information (e.g., Monitoring Trends in Burn Severity) to characterize the role of fire along with other natural and anthropogenic drivers on estimates of carbon stocks, stock changes, and sequestration capacity on forest land in the Western US. Several biotic (e.g., tree size, species, and forest structure) and abiotic factors (e.g., warm climate, severe drought, compound disturbances, and anthropogenic interventions) influenced post-fire tree mortality and regeneration and had concomitant impacts on carbon stocks and sequestration capacity. Forest ecosystems in a high severity and low frequency wildfire regime had greater reductions in aboveground biomass carbon stocks and sequestration capacity compared to forests in a low severity and high frequency fire regime. Results from this study can improve our understanding of the role of wildfire along with other biotic and abiotic drivers on carbon dynamics in forest ecosystems in the Western US.
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•We use multiple data sources to estimate forest carbon following disturbances.•Fire effects had a greater reduction in forest carbon density than non-fire areas.•Biotic factors significantly impacted post-fire aboveground carbon stock change.•Fire plus other disturbances led to higher aboveground carbon loss and tree death.•Estimates consistent from actual to perturbed NFI plots at large spatial scales.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Biotic disturbance agents are important factors influencing forest dynamics; incorporating them into management planning requires a detailed understanding of their distribution, prevalence, and ...effects on stand dynamics. However, this information can be difficult to collect in remote forest systems, such as lowland black spruce ( Picea mariana (Mill.) B.S.P.) forests affected by eastern spruce dwarf mistletoe ( Arceuthobium pusillum Peck, hereafter ESDM). In such cases, predictive modeling is often needed to inform management decisions and address forest health questions. Here, we used two publicly available datasets to predict areas where black spruce is more likely to be infested with ESDM in northeastern Minnesota, USA. Using random forest modeling and logistic regression, we found location, stand age, basal area, site index, average diameter, and metrics of species composition to be among the most important predictors of ESDM occurrence. Predictions showed two regions of greater likelihood of infestation with distinct ecological characteristics and ownership patterns. By understanding how stand structural characteristics relate to ESDM infestations, managers can improve monitoring and management of ESDM at the stand and landscape scales. Additionally, our approach of using multiple datasets and modeling methods can serve as a framework for decision-making on other forest health concerns.
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BF, DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Abstract The role of macropore size (>100 μm) and geometry in synthetic scaffolds for bone regeneration has been studied extensively, but successful translation to the clinic has been slow. ...Significantly less attention has been given to porosity at the microscale (0.5–10 μm). While some have shown that microporosity in calcium phosphate (CaP)-based scaffolds can improve rate and extent of bone formation in macropores , none has explored microporosity as an additional and important space for bone ingrowth. Here we show osteointegration of biphasic calcium phosphate (BCP) scaffolds at both the macro and micro length scales. Bone, osteoid, and osteogenic cells fill micropores in scaffold rods and osteocytes are embedded in mineralized matrix in micropores, without the addition of growth factors. This work further highlights the importance of considering design parameters at the microscale and demonstrates the possibility for a bone–scaffold composite with no “dead space.” Embedded osteocytes distributed throughout microporous rods may form a mechanosensory network, which would not be possible in scaffolds without microporosity. Multiscale osteointegration has the potential to greatly improve overall performance of these scaffolds through an improvement of mechanical properties, load transfer, and stability in the long and short term, and represents a new paradigm for scaffold design.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Forest disturbances play a critical role in ecosystem dynamics. However, the methods for quantifying these disturbances at broad scales may underestimate disturbances that affect individual trees. ...Utilizing individual tree variables may provide early disturbance detection that directly affects tree demographics and forest dynamics. The goals of this study were to (1) describe different methods for quantifying disturbances at individual tree and condition-level scales, (2) compare the differences between disturbance variables, and (3) provide a methodology for selecting an appropriate disturbance variable from national forest inventories for diverse applications depending on user needs. To achieve these goals, we used all the remeasurements available from the USDA Forest Inventory and Analysis (FIA) database since the start of the annual inventory for the lower 48 US states. Variables used included disturbance code, treatment code, agent of mortality, and damage code. Chi-square tests of independence were used to verify how the choice of the variable that represents disturbance affects its magnitude. Disturbed plots, as classified by each disturbance variable, were mapped to observe their spatial distribution. We found that the Chi-square tests were significant when using all the states and comparing each state individually, indicating that different results exist depending on which variable is used to represent disturbance. Our results will be a useful tool to help researchers measure the magnitude and scale of disturbance since the manner in which disturbances are categorized will impact forest management plans, national and international reports of forest carbon stocks, and sequestration potential under future global change scenarios.
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CEKLJ, EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
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