Ectomycorrhizal fungi are more sensitive to high soil nitrogen levels in forests exposed to nitrogen deposition.

Ectomycorrhizal fungi are essential for nitrogen (N) cycling in many temperate forests and responsive to anthropogenic N addition, which generally decreases host carbon (C) allocation to the fungi. In the boreal region, however, ectomycorrhizal fungal biomass has been found to correlate positively with soil N availability. Still, responses to anthropogenic N input, for instance through atmospheric deposition, are commonly negative. To elucidate whether variation in N supply affects ectomycorrhizal fungi differently depending on geographical context, we investigated ectomycorrhizal fungal communities along fertility gradients located in two nemo-boreal forest regions with similar ranges in soil N : C ratios and inorganic N availability but contrasting rates of N deposition. Ectomycorrhizal biomass and community composition remained relatively stable across the N gradient with low atmospheric N deposition, but biomass decreased and the community changed more drastically with increasing N availability in the gradient subjected to higher rates of N deposition. Moreover, potential activities of enzymes involved in ectomycorrhizal mobilisation of organic N decreased as N availability increased. In forests with low external input, we propose that stabilising feedbacks in tree-fungal interactions maintain ectomycorrhizal fungal biomass and communities even in N-rich soils. By contrast, anthropogenic N input seems to impair ectomycorrhizal functions.

Contrasting coordination of non-structural carbohydrates with leaf and root economic strategies of alpine coniferous forests.

Non-structural carbohydrates (NSCs), as the labile fraction and dominant carbon currency, are essential mediators of plant adaptation to environments. However, whether and how NSC coordinates with plant economic strategy frameworks, particularly the well-recognized leaf economics spectrums (LES) and root economics space (RES), remains unclear. We examined the relationships between NSC and key plant economics traits in leaves and fine roots across 90 alpine coniferous populations on the Tibetan Plateau, China. We observed contrasting coordination of NSC with economics traits in leaves and roots. Leaf total NSC and soluble sugar aligned with the leaf economic spectrum, conveying a trade-off between growth and storage in leaves. However, NSC in roots was independent of the root economic spectrum, but highly coordinated with root foraging, with more starch and less sugar in forage-efficient, thinner roots. Further, NSC-trait coordination in leaves and roots was, respectively, driven by local temperature and precipitation. These findings highlight distinct roles of NSC in shaping the above- and belowground multidimensional economics trait space, and NSC-based carbon economics provides a mechanistic understanding of how plants adapt to heterogeneous habitats and respond to environmental changes.

Plant economic strategies in two contrasting forests.

BACKGROUND: Predicting relationships between plant functional traits and environmental effects in their habitats is a central issue in terms of classic ecological theories. Yet, only weak correlation with functional trait composition of local plant communities may occur, implying that some essential information might be ignored. In this study, to address this uncertainty, the objective of the study is to test whether and how the consistency of trait relationships occurs by analyzing broad variation in eight traits related to leaf morphological structure, nutrition status and physiological activity, within a large number of plant species in two distinctive but comparable harsh habitats (high-cold alpine fir forest vs. north-cold boreal coniferous forest). RESULTS: The contrasting and/or consistent relationships between leaf functional traits in the two distinctive climate regions were observed. Higher specific leaf area, photosynthetic rate, and photosynthetic nitrogen use efficiency (PNUE) with lower N concentration occurred in north-cold boreal forest rather than in high-cold alpine forest, indicating the acquisitive vs. conservative resource utilizing strategies in both habitats. The principal component analysis illuminated the divergent distributions of herb and xylophyta groups at both sites. Herbs tend to have a resource acquisition strategy, particularly in boreal forest. The structural equation modeling revealed that leaf density had an indirect effect on PNUE, primarily mediated by leaf structure and photosynthesis. Most of the traits were strongly correlated with each other, highlighting the coordination and/or trade-offs. CONCLUSIONS: We can conclude that the variations in leaf functional traits in north-cold boreal forest were largely distributed in the resource-acquisitive strategy spectrum, a quick investment-return behavior; while those in the high-cold alpine forest tended to be mainly placed at the resource-conservative strategy end. The habitat specificity for the relationships between key functional traits could be a critical determinant of local plant communities. Therefore, elucidating plant economic spectrum derived from variation in major functional traits can provide a fundamental insight into how plants cope with ecological adaptation and evolutionary strategies under environmental changes, particularly in these specific habitats.

Early-life environment and the risk of eczema at 2 years-Meta-analyses of six Finnish birth cohorts.

BACKGROUND: Urban-related nature exposures are suggested to contribute to the rising prevalence of allergic diseases despite little supporting evidence. Our aim was to evaluate the impact of 12 land cover classes and two greenness indices around homes at birth on the development of doctor-diagnosed eczema by the age of 2 years, and the influence of birth season. METHODS: Data from 5085 children were obtained from six Finnish birth cohorts. Exposures were provided by the Coordination of Information on the Environment in three predefined grid sizes. Adjusted logistic regression was run in each cohort, and pooled effects across cohorts were estimated using fixed or random effect meta-analyses. RESULTS: In meta-analyses, neither greenness indices (NDVI or VCDI, 250 m × 250 m grid size) nor residential or industrial/commercial areas were associated with eczema by age of 2 years. Coniferous forest (adjusted odds ratio 1.19; 95% confidence interval 1.01-1.39 for the middle and 1.16; 0.98-1.28 for the highest vs. lowest tertile) and mixed forest (1.21; 1.02-1.42 middle vs. lowest tertile) were associated with elevated eczema risk. Higher coverage with agricultural areas tended to associate with elevated eczema risk (1.20; 0.98-1.48 vs. none). In contrast, transport infrastructure was inversely associated with eczema (0.77; 0.65-0.91 highest vs. lowest tertile). CONCLUSION: Greenness around the home during early childhood does not seem to protect from eczema. In contrast, nearby coniferous and mixed forests may increase eczema risk, as well as being born in spring close to forest or high-green areas.

Environmental drivers of ground-floor bryophytes diversity in temperate forests.

Bryophytes play important role in forest ecosystem functioning and their distribution and diversity are driven by numerous environmental factors. The aim of the present study was to bring new insights in deeper understanding of terrestrial bryophytes diversity in temperate forests, as well as to determine the environmental factors which have predominant influence on ground-floor bryophytes. The survey was conducted in Fruska Gora Mountain (Serbia) across seven forest sites where ground-bryophytes were sampled. Soil moisture, temperature, and pH were measured as soil characteristics, while herbaceous cover, litter cover, stream distance, number of trees and shrubs were used as characteristics of stand structure. Species richness, Shannon diversity index, and evenness index were used as diversity measures. Generalised linear model and canonical correspondence analysis (CCA) were used to test the influence of environmental variables on bryophyte diversity. Litter cover was the most important explanatory variable, followed by soil moisture, stream distance and tree number, respectively. Overall, the stand structure was found to have a greater impact on ground-floor bryophyte diversity compared to soil characteristics. Identification of the most significant ecological factors affecting the diversity and distribution of bryophytes in forest ecosystems is of great importance in forest ecology with the aim of defining adequate management methods to preserve the biodiversity of forests, with particular emphasis on endangered and rare bryophyte species.

Mycorrhiza-feeding soil invertebrates in two coniferous forests traced with 13C labelling.

Mycorrhizal fungi represent a potentially abundant carbon resource for soil animals, but their role in soil food webs remains poorly understood. To detect taxa that are trophically linked to the extraradical mycelium of mycorrhizal fungi, we used stable isotope (13C) labelling of whole trees in combination with the in-growth mesh bag technique in two coniferous forests. This allowed us to detect the flux of carbon in the mycelium of mycorrhizal fungi, and consequently in the tissues of soil invertebrates. The mycorrhizal fungal genera constituted 93.5% of reads in mycelium samples from the in-growth mesh bags. All mycelium from in-growth mesh bags and about 32% of the invertebrates sampled (in total 11 taxa) received the 13C label after 45 days of exposure. The extent of feeding of soil invertebrates on the mycelium of mycorrhizal fungi depended on the taxonomic affinity of the animals. The strongest trophic link to the mycorrhiza-derived carbon was detected in Isotomidae (Collembola) and Oppiidae (Oribatida). The label was also observed in the generalist predators, indicating the propagation of mycorrhiza-derived carbon into the higher trophic levels of the soil food web. Higher 13C labelling in the tissues of euedaphic Collembola and Oribatida compared to atmobiotic and hemiedaphic families indicates the importance of mycorrhizal fungi as a food resource for invertebrates in deeper soil horizons.

Ecological drivers of soil carbon in Kashmir Himalayan forests: Application of machine learning combined with structural equation modelling.

Soil carbon (SC) heterogeneity in mountain ecosystems is ascertained by a complex interdependency of topography, climate, edaphic features, and biotic elements, which may incite uncertainties in regional SC estimation. However, quantitative evaluations of the interplay between SC and these determinants as well as underlying possible link networks, are uncommon. Using the data set of SC along with soil properties at 0-10 and 10-20 cm depths from 135 plots under three coniferous forests, we aimed to ascertain SC heterogeneity and to elucidate how these interactions affect the SC storage, operating data-driven models (Least Absolute Shrinkage and Selection Operator [LASSO] regression and structural equation modeling [SEM]) to identify the dominant explanatory factors affecting the distribution of SC in Kashmir Himalayan forests. Average SC stocks at 0-10 cm and 10-20 cm depth intervals range from 32.41 Mg ha-1 in sub-alpine (SA) forest to 48.50 Mg ha-1 in mixed conifer (MC) forest. The findings show that SC declines significantly from 0 - 10 cm to 10-20 cm strata, consistent with other soil physico-chemical determinants other than bulk density. SEM renders better model fit (0-10 cm: R2 = 0.61; 10-20cm: R2 = 0.46) with lesser uncertainties compared to LASSO (0-10 cm: R2 = 0.55; 10-20cm: R2 = 0.37). Soil properties and topography play a key role in modulating SC stocks, with total nitrogen (TN), soil moisture (SM), and elevation being principal drivers with contrasting effects on SC storage, while climate and vegetation parameters are of lesser influence. The relative effect of majority of explanatory drivers reduces with depth while that of temperature increases. Our analyses indicate that shifts in floristic composition could have long-lasting implications on soil structure and C storage, providing valuable data for C sink management.

Seasonal Variation in Plant Polyphenols and Related Bioactivities across Three Years in Ten Tree Species as Visualized by Mass Spectrometric Fingerprint Mapping.

The currently changing climates and environments place plants under many types of stresses that affect both their survival and levels of chemical defenses. The gradual induction of defenses in stressed plant populations could be monitored on a yearly basis unless a seasonal and yearly variation in natural defense levels obscures such monitoring schemes. Here, we studied the stability of the species-specific polyphenol composition and content of 10 tree species over three growing seasons using five replicate trees per species. We specifically measured hydrolyzable tannins (galloyl and hexahydroxydiphenoyl derivatives), proanthocyanidins (procyanidins and prodelphinidins), flavonols (kaempferol, quercetin and kaempferol derivatives) and quinic acid derivatives with the group-specific UHPLC-DAD-MS/MS tool, together with two bioactivities, the protein precipitation capacity and oxidative activity. With the help of a fingerprint mapping tool, we found out that species differed a lot in their seasonal and between-year variation in polyphenols and that the variation was also partially specific to compound groups. Especially ellagitannins tended to have declining seasonal patterns while the opposite was true for proanthocyanidins. Some of the species showed minimal variation in all measured variables, while others showed even induced levels of certain polyphenol groups during the 3-year study. For every species, we found either species-specific baseline levels in qualitative and quantitative polyphenol chemistry or the compound groups with the most plasticity in their production. The used tools could thus form a good combination for future studies attempting to monitor the overall changes in polyphenol chemistry due to various biotic or abiotic stress factors in plant populations or in more controlled environments.

Strategy of Coniferous Needle Biorefinery into Value-Added Products to Implement Circular Bioeconomy Concepts in Forestry Side Stream Utilization.

Sustainable development goals require a reduction in the existing heavy reliance on fossil resources. Forestry can be considered a key resource for the bioeconomy, providing timber, energy, chemicals (including fine chemicals), and various other products. Besides the main product, timber, forestry generates significant amounts of different biomass side streams. Considering the unique and highly complex chemical composition of coniferous needle/greenery biomass, biorefinery strategies can be considered as prospective possibilities to address top segments of the bio-based value pyramid, addressing coniferous biomass side streams as a source of diverse chemical substances with applications as the replacement of fossil material-based chemicals, building blocks, food, and feed and applications as fine chemicals. This study reviews biorefinery methods for coniferous tree forestry biomass side streams, exploring the production of value-added products. Additionally, it discusses the potential for developing further biorefinery strategies to obtain products with enhanced value.

Analysis of Softwood Lignans by Comprehensive Two-Dimensional Liquid Chromatography.

Lignans constitute a large group of phenolic plant secondary metabolites possessing high bioactivity. Their accurate determination in plant extracts with a complex chemical composition is challenging and requires advanced separation techniques. In the present study, a new approach to the determination of lignans in coniferous knotwood extracts as the promising industrial-scale source of such compounds based on comprehensive two-dimensional liquid chromatography separation and UV spectrophotometric detection is proposed. First and second-dimension column screening showed that the best results can be obtained using a combination of non-polar and polar hydroxy group embedded octadecyl stationary phases with moderate (~40%) "orthogonality". The optimization of LC × LC separation conditions allowed for the development of a new method for the quantification of the five lignans (secoisolariciresinol, matairesinol, pinoresinol, 7-hydroxymatairesinol, and nortrachelogenin) in knotwood extracts with limits of quantification in the range of 0.27-0.95 mg L-1 and a linear concentration range covering at least two orders of magnitude. Testing the developed method on coniferous (larch, fir, spruce, and pine) knotwood extracts demonstrated the high selectivity of the analysis and the advantages of LC × LC in the separation and accurate quantification of the compounds co-eluting in one-dimensional HPLC.

Non-native and native tree species plantations and seasonality could have substantial impacts on the diversity of indigenous soil fauna in a semi-arid forest ecosystem.

The temporal and spatial dynamics of soil fauna in many terrestrial ecosystems are still not fully understood, while soil fauna is one of the most critical characteristics in assessing soil quality. Therefore, the effects of native [Quercus brantii (QP) and Amygdalus scoparia (AMP)] and non-native [Cupressus arizonica (CUP) and Pinus eldarica (PIN)] plantations and natural trees [Quercus brantii coppice trees (QNC), standard (QNS), and Amygdalus scoparia (AMN)] on diversity and abundance of macro- and mesofauna were done in the semi-arid forest of Zagros, Iran. Samples were collected beneath the canopy of woody species and the outer edge of the canopy in spring and summer seasons. For this purpose, soil samples [(7 samples per woody species + control) × 2 seasons × 3 replicates] were taken from 0 to 20 cm depths. Each soil sample was a mix of three soil cores. For the macrofauna, 15 species belonging to four families (in spring) and 17 species in nine families (in summer) were collected and identified. For the soil mesofauna, 14 species belonging to 14 families (in spring) and 13 species in 13 different families (in summer) were identified, respectively. The fauna diversity indices under the canopy of studied species were higher in summer season than in spring. The result showed that the macrofauna diversity was affected by tree species, while mesofauna was affected by seasonal changes. Macrofauna biodiversity was higher under the canopy of PIN and CUP than other trees. Principle component analysis showed that the diversity of the macrofauna was higher under the canopy of PIN and CUP, and influenced by soil characteristic properties, soil properties did not influence them. Yet the diversity of the mesofauna was affected by soil characteristics and was higher in areas with higher organic carbon, nitrogen, substrate-induced respiration, basal respiration, microbial carbon biomass, and alkaline phosphatase. In addition, mesofauna biodiversity had a significant positive correlation with the soil quality index (SQI). SQI was higher under the canopy of natural stands, especially the QNS. Conservation of native species (QNS, QNC, and AMN) and plantation with native deciduous species (QP and AMP) seem to moderate environmental conditions and increase soil macro- and mesofauna diversity and SQI.

Variations in Essential Oils from South Siberian Conifers of the Pinaceae Family: New Data towards Identification and Quality Control.

Conifer essential oils have been used for centuries in traditional medicine, and nowadays they are of special interest for official medicine, aromatherapy and perfumery. In the present work, comprehensive information is given on the composition of essential oils prepared from the twigs of the conifer trees of the pine family (Pinaceae): Abies sibirica Ledeb., Larix sibirica Ledeb., Picea obovata Ledeb., Pinus sibirica Du Tour, Pinus sylvestris L. A total of 50 samples of essential oils have been studied. The samples were prepared during vegetation stage in the time period 1998-2012 from the growing wild trees in the South part of the Western Siberia (Russian Federation) and neighboring territories of Republic of Kazakhstan within the area with geographical coordinates LAT 49.180012-57.908583 and LON 83.213217-91.258717 at elevation of 82-2070 m above sea level. All the essential oil samples were obtained from freshly collected plant raw material by steam distillation at atmospheric pressure in stainless steel apparatus, which had been specially designed for field research. All the chromatographic profiles were prepared from authentic samples whose voucher specimens are deposited at the Central Siberian Botanical Garden of the Siberian Branch of the Russian Academy of Sciences (NS). The following information for each sample is provided: (1) date and location of the plant raw material collecting, indicating administrative areas and the exact geographic coordinates; (2) yield of essential oil, (3) chemical composition of the essential oil sample based on GC/MS experiments using full mass-spectra (EI, 70 eV) and linear retention indices of the components, (4) results of GC-FID quantification based on internal standards and response factors, (5) enantiomeric composition of the main components based on GC×GC experiments using the 2nd column with cyclodextrin-based chiral selector, (6) GC profile of the high-boiling fractions indicating the characteristic sesquiterpenoids. Therefore, this study provides reliable information about the variability and true composition of the Siberian conifer oils, and the experimental data given can serve as reference chromatographic profiles of volatile substances to solve the problems of quality, authenticity and safety.

The complexity of biological disturbance agents, fuels heterogeneity, and fire in coniferous forests of the western United States.

Forest biological disturbance agents (BDAs) are insects, pathogens, and parasitic plants that affect tree decline, mortality, and forest ecosystems processes. BDAs are commonly thought to increase the likelihood and severity of fire by converting live standing trees to more flammable, dead and downed fuel. However, recent research indicates that BDAs do not necessarily increase, and can reduce, the likelihood or severity of fire. This has led to confusion regarding the role of BDAs in influencing fuels and fire in fire-prone western United States forests. Here, we review the existing literature on BDAs and their effects on fuels and fire in the western US and develop a conceptual framework to better understand the complex relationships between BDAs, fuels and fire. We ask: 1) What are the major BDA groups in western US forests that affect fuels? and 2) How do BDA-affected fuels influence fire risk and outcomes? The conceptual framework is rooted in the spatiotemporal aspects of BDA life histories, which drive forest impacts, fuel characteristics and if ignited, fire outcomes. Life histories vary among BDAs from episodic, landscape-scale outbreaks (bark beetles, defoliators), to chronic, localized disturbance effects (dwarf mistletoes, root rots). Generally, BDAs convert aboveground live biomass to dead biomass, decreasing canopy fuels and increasing surface fuels. However, the rate of conversion varies with time-since-event and among BDAs and forest types, resulting in a wide range of effects on the amount of dead fuels at any given time and place, which interacts with the structure and composition of the stand before and subsequent to BDA events. A major influence on fuels may be that BDAs have emerged as dominant agents of forest heterogeneity creation. Because BDAs play complex roles in fuels and fire heterogeneity across the western US which are further complicated by interactions with climate change, drought, and forest management (fire suppression), their impacts on fuels, fire and ecological consequences cannot be categorized simply as positive or negative but need to be evaluated within the context of BDA life histories and ecosystem dynamics.

Chemical Characterization, Antioxidant and Antimicrobial Properties of Different Types of Tissue of Cedrus brevifolia Henry Extracts.

This study aimed to determine the chemical composition of different types of tissue of Cedrus brevifolia Henry (Pinaceae) methanolic extracts, namely needles, twigs, branches, and bark. Cedrus brevifolia is a narrow endemic coniferous tree species of Cyprus, growing in a sole population in the mountainous area of Paphos Forest. Chemical analysis of the extracts was performed using liquid chromatography combined with time-of-flight high-resolution mass spectrometry (LC/Q-TOF/HRMS). The majority of the 36 compounds tentatively identified belonged to the flavonoids family. The extract of needles was the richest extract in terms of secondary metabolites. The extracts were studied for their antioxidant activity using the DPPH free radical scavenging assay. Additionally, the antibacterial activity was evaluated by determining both the minimum inhibitory concentration and the minimum bactericidal concentration against Staphylococcus aureus and Escherichia coli. All extracts demonstrated antioxidant property, while bark gave the highest antioxidant capacity (IC50 value of 0.011 mg/mL) compared to the other tissues. Antibacterial activity was observed against both types of bacteria, with the extract of branches presenting the strongest activity against S. aureus (MIC, 0.097 mg/mL and MBC, 0.195 mg/mL). This is the first time that extracts of needles, twigs, branches, and bark of C. brevifolia are compared regarding their chemical composition as well as their antimicrobial and antioxidant properties.

Changes in soil fungal community composition depend on functional group and forest disturbance type.

Disturbances have altered community dynamics in boreal forests with unknown consequences for belowground ecological processes. Soil fungi are particularly sensitive to such disturbances; however, the individual response of fungal guilds to different disturbance types is poorly understood. Here, we profiled soil fungal communities in lodgepole pine forests following a bark beetle outbreak, wildfire, clear-cut logging, and salvage-logging. Using Illumina MiSeq to sequence ITS1 and SSU rDNA, we characterized communities of ectomycorrhizal, arbuscular mycorrhizal, saprotrophic, and pathogenic fungi in sites representing each disturbance type paired with intact forests. We also quantified soil fungal biomass by measuring ergosterol. Abiotic disturbances changed the community composition of ectomycorrhizal fungi and shifted the dominance from ectomycorrhizal to saprotrophic fungi compared to intact forests. The disruption of the soil organic layer with disturbances correlated with the decline of ectomycorrhizal and the increase of arbuscular mycorrhizal fungi. Wildfire changed the community composition of pathogenic fungi but did not affect their proportion and diversity. Fungal biomass declined with disturbances that disrupted the forest floor. Our results suggest that the disruption of the forest floor with disturbances, and the changes in C and nutrient dynamics it may promote, structure the fungal community with implications for fungal biomass-C.

Low-intensity frequent fires in coniferous forests transform soil organic matter in ways that may offset ecosystem carbon losses.

The impact of shifting disturbance regimes on soil carbon (C) storage is a key uncertainty in global change research. Wildfires in coniferous forests are becoming more frequent in many regions, potentially causing large C emissions. Repeated low-intensity prescribed fires can mitigate wildfire severity, but repeated combustion may decrease soil C unless compensatory responses stabilize soil organic matter. Here, we tested how 30 years of decadal prescribed burning affected C and nitrogen (N) in plants, detritus, and soils in coniferous forests in the Sierra Nevada mountains, USA. Tree basal area and litter stocks were resilient to fire, but fire reduced forest floor C by 77% (-36.4 Mg C/ha). In mineral soils, fire reduced C that was free from minerals by 41% (-4.4 Mg C/ha) but not C associated with minerals, and only in depths ≤ 5 cm. Fire also transformed the properties of remaining mineral soil organic matter by increasing the proportion of C in a pyrogenic form (from 3.2% to 7.5%) and associated with minerals (from 46% to 58%), suggesting the remaining soil C is more resistant to decomposition. Laboratory assays illustrated that fire reduced microbial CO2 respiration rates by 55% and the activity of eight extracellular enzymes that degrade cellulosic and aromatic compounds by 40-66%. Lower decomposition was correlated with lower inorganic N (-49%), especially ammonium, suggesting N availability is coupled with decomposition. The relative increase in forms of soil organic matter that are resistant to decay or stabilized onto mineral surfaces, and the associated decline in decomposition suggest that low-intensity fires may promote mineral soil C storage in pools with long mean residence times in coniferous forests.

Comparison of the responses of radial growth to climate change for two dominant coniferous tree species in the eastern Qilian Mountains, northwestern China.

The temperature in northwestern China has increased significantly since the 1990s. However, the responses of mountainous forests to warming have not been extensively examined. We collected tree rings of two dominant coniferous species of Qinghai spruce (Picea crassifolia) and Chinese pine (Pinus tabulaeformis) in the eastern part of the Qilian Mountains, and analyzed the differences in the response dynamic of the radial growth of two species to climate change. The results showed that (1) the annual radial growth of Qinghai spruce was mainly restricted by the minimum temperature in July and October, and the growth of Chinese pine was mainly restricted by the mean temperature in September of the previous year, January, and July and the maximum temperature in March, May, and July. In particular, Qinghai spruce increased its sensitivity to total precipitation in the growing seasons in March, May, and July after the temperature abruptly increased. (2) In comparison to Qinghai spruce, Chinese pine showed a consistent response to the main climatic factors and was more severely affected by drought stress. Qinghai spruce had divergent responses to mean temperatures in March and May and minimum temperatures in April and June. (3) The growth of Qinghai spruce increased with a significant fluctuation at the end of the twentieth century, while the growth of Chinese pine first showed an increase and then a significant decreasing trend. At present, the increase in temperature has adversely affected the growth of Chinese pine in the eastern Qilian Mountains and promoted the growth of Qinghai spruce. However, a continuous temperature increase could negatively affect the growth of Qinghai spruce because of the increasing probability of drought stress. Therefore, we should pay more attention to the growth dynamics of Qinghai spruce, especially with the different water supply and demand, and to the effects of drought on Chinese pine in forest ecosystems in arid and semiarid areas.

Comparison among three methods for obtaining chloroplast genome sequences from the conifer Pinus massoniana.

The chloroplast genome (CPG) is a powerful tool for phylogenetic studies. Many CPGs have been determined using NGS. However, the large nuclear-genome and difficult CPG-DNA separation in conifers limit their application in related research. In this study, three methods (PCR + Sanger, PCR + HiSeq, cpDNA+HiSeq) for obtaining the CPGs of Pinus massoniana were compared for sequence accuracy, time and cost. PCR + Sanger obtained the most accurate CPGs with advantages in cost (3.08$/kb) and time (2-3 days); PCR + HiSeq generated some DNA fragments with low depth, and the SNPs false-positive-rate (0.44) and sequencing error-rate (0.0265) of this method were higher than those of the cpDNA+HiSeq. Moreover, the cost (~6.17$/kb) and time (4-5 weeks) would significantly increase when HiSeq sequencing were outsourced to sequencing service company. Thus, for the study of intraspecific and interspecies variation in CPGs, CPG sequences can be obtained by comprehensive methods to bridge the method shortcomings. Scuh as sequence accuracy, cost and time.

Soil carbon pool and dynamics of different fractions in subalpine temperate coniferous forests of Western Himalaya, India.

Natural forests have the ability to sequester atmospheric carbon for a long time and fix it into the soil through a variety of processes such as decomposition and root respiration. The changing environment of alpine forests alters the characteristics of soil carbon, causing it to be divided into several components. The current study looked at soil carbon fractions and how they changed over time, both annually and seasonally, at different depths and along an altitudinal gradient. Seasonal sampling was carried out at three depths, with standard procedures employed to estimate the results of soil carbon fractions. The results showed that the surface layer (10 cm) had the highest value of all soil qualities such as SOC, Fraction I, Fraction II, Fraction III, SOM and active pool of carbon than the subsurface (20 cm and 30 cm) layers with autumn dominating the seasons. Site 1 had the highest value and Site 4 lowest, indicating that altitudinal variance had a direct relationship with distinct soil fractions. On an annual basis, the corresponding soil carbon fraction variation was examined, revealing the maximum retention capability at 30 cm of depth. According to the findings, the soils of the Western Himalayas have a high potential for carbon sequestration and conversion into various fractions, with significant annual and seasonal change due to changing environmental conditions.

Transcriptome analysis of heat stressed seedlings with or without pre-heat treatment in Cryptomeria japonica.

With global warming as a major environment concern over the coming years, heat tolerance is an important trait for forest tree survival during the predicted future warmer weather conditions. Cryptomeria japonica is a coniferous species widely distributed throughout Japan, and thus, can adapt to a wide range of air temperatures. To elucidate genes involved in heat response in Cryptomeria japonica, transcriptome analysis was conducted for seedlings under heat shock conditions. To test whether heat acclimation affects levels of gene expression, half of the seedlings were pretreated with moderately high temperatures prior to heat shock. De novo assembly of the transcriptome generated 107,924 unigenes and the analysis of differentially expressed genes was conducted using these unigenes. A total of 5217 differentially expressed genes were identified. Most genes upregulated by heat shock, regardless of pre-heat treatment, were conserved to heat response genes of angiosperm species, such as heat shock factors (Hsf) and heat shock proteins (Hsp). Pre-heating of seedlings affected expression levels of several Hsfs and their induction was lower in pre-heated seedlings than in seedlings without pre-heat treatment. This suggests a conserved role of Hsfs in heat response and heat acclimation in seed plants. On the other hand, many unknown genes were upregulated in only seedlings without pre-heat treatment after heat exposure. Notably, expression of gypsy/Ty3 type retrotransposons was dramatically induced. These findings provide valuable information to develop a better understanding of the molecular mechanisms of heat response and acclimation in C. japonica.