Temporal changes in mixing effects on litter decay and nitrogen release in a boreal riparian forest in northeastern China

In riparian forests,litter decay provides essential energy and nutrients for both terrestrial and fluvial ecosystems.Litter mixing effects(LMEs)are crucial in regulating litter decay and nutrient dynamics,yet how LMEs change over time is unclear in riparian forests.In this study,leaf litter of three common species(Alnus sibirica Fisch.ex Turcz,Betula platyphylla Sukaczev,and Betula fruticosa Pall.)were mixed in an equal mass ratio and LMEs were measured for mass and nitrogen(N)remaining in whole litter mixtures over a 3-year period in a boreal riparian forest,northeastern China.LMEs were also assessed for component litter mass and N remaining by separating litter mixtures by species.During the decay of litter mixtures,antagonistic effects on mass and N remaining were dominant after one and two years of decay,whereas only additive effects were observed after three years.LMEs correlated negatively with functional diversity after the first and two years of decay but disappeared after three years.When sorting litter mixtures by species,non-additive LMEs on mass and N remaining decreased over incubation time.Moreover,non-additive LMEs were more frequent for litter of both B.platyphylla and B.fruticosa with lower N concentration than for A.sibirica litter with higher N concentration.These results indicate that incubation time is a key determinant of litter mixing effects during decay and highlight that late-stage litter mixture decay may be predicted from single litter decay dynamics in boreal riparian forests.

Bacterial communities and enzyme activities during litter decomposition of Elymus nutans leaf on the Qinghai-Tibet Plateau

The dominant plant litter plays a crucial role in carbon(C)and nutrients cycling as well as ecosystem functions maintenance on the Qinghai-Tibet Plateau(QTP).The impact of litter decomposition of dominant plants on edaphic parameters and grassland productivity has been extensively studied,while its decomposition processes and relevant mechanisms in this area remain poorly understood.We conducted a three-year litter decomposition experiment in the Gansu Gannan Grassland Ecosystem National Observation and Research Station,an alpine meadow ecosystem on the QTP,to investigate changes in litter enzyme activities and bacterial and fungal communities,and clarify how these critical factors regulated the decomposition of dominant plant Elymus nutans(E.nutans)litter.The results showed that cellulose and hemicellulose,which accounted for 95%of the initial lignocellulose content,were the main components in E.nutans litter decomposition.The litter enzyme activities ofβ-1,4-glucosidase(BG),β-1,4-xylosidase(BX),andβ-D-cellobiosidase(CBH)decreased with decomposition while acid phosphatase,leucine aminopeptidase,and phenol oxidase increased with decomposition.We found that both litter bacterial and fungal communities changed significantly with decomposition.Furthermore,bacterial communities shifted from copiotrophic-dominated to oligotrophic-dominated in the late stage of litter decomposition.Partial least squares path model revealed that the decomposition of E.nutans litter was mainly driven by bacterial communities and their secreted enzymes.Bacteroidota and Proteobacteria were important producers of enzymes BG,BX,and CBH,and their relative abundances were tightly positively related to the content of cellulose and hemicellulose,indicating that Bacteroidota and Proteobacteria are the main bacterial taxa of the decomposition of E.nutans litter.In conclusion,this study demonstrates that bacterial communities are the main driving forces behind the decomposition of E.nutans litter,highlighting the vital roles of bacterial communities in affecting the ecosystem functions of the QTP by regulating dominant plant litter decomposition.

Subtropical forest macro-decomposers rapidly transfer litter carbon and nitrogen into soil mineral-associated organic matter

Background:Forest soils in tropical and subtropical areas store a significant amount of carbon.Recent framework to assess soil organic matter(SOM)dynamics under evolving global conditions suggest that dividing bulk SOM into particulate and mineral-associated organic matter(POM vs.MAOM)is a promising method for identifying how SOM contributes to reducing global warming.Soil macrofauna,earthworms,and millipedes have been found to play an important role in facilitating SOM processes.However,how these two co-existing macrofaunae impac the litter decomposition process and directly impact the formation of POM and MAOM remains unclear.Methods:Here,we set up a microcosm experiment,which consisted of 20 microcosms with four treatments earthworm and litter addition(E),millipedes and litter addition(M),earthworm,millipedes,and litter addition(E+M),and control(only litter addition)in five replicates.The soil and litter were sterilized prior to beginning the incubation experiment to remove any existing microbes.After incubating the samples for 42 days,the litte properties(mass,C,and N contents),soil physicochemical properties,as well as the C and N contents,and POM and MAOM^(13)C abundance in the 0–5 and 5–10 cm soil layers were measured.Finally,the relative influences o soil physicochemical and microbial properties on the distribution of C and N in the soil fractions were analyzed Results:The litter mass,C,and N associated with all four treatments significantly decreased after incubation especially under treatment E+M(litter mass:-58.8%,litter C:-57.0%,litter N:-75.1%,respectively),while earthworm biomass significantly decreased under treatment E.Earthworm or millipede addition alone showed no significant effects on the organic carbon(OC)and total nitrogen(TN)content in the POM fraction,but join addition of both significantly increased OC and TN regardless of soil depth.Importantly,all three macrofauna treatments increased the OC and TN content and decreased the^(13)C abundance in the MAOM fraction.More than65%of the total variations in the distribution of OC and TN throughout the two fractions can be explained by a combination of soil physicochemical and microbial properties.Changes in the OC distribution in the 0–5 cm soi layer are likely due to a decrease in soil pH and an increase in arbuscular mycorrhizal fungi(AMF),while those in the 5–10 cm layer are probably caused by increases in soil exchangeable Ca and Mg,in addition to fungi and gram-negative(GN)bacteria.The observed TN distribution changes in the 0–5 cm soil likely resulted from a decrease in soil pH and increases in AMF,GN,and gram-negative(GP)bacteria,while TN distribution changes in the 5–10 cm soil could be explained by increases in exchangeable Mg and GN bacteria.Conclusions:The results indicate that the coexistence of earthworms and millipedes can accelerate the litte decomposition process and store more C in the MAOM fractions.This novel finding helps to unlock the processe by which complex SOM systems serve as C sinks in tropical forests and addresses the importance of soil mac rofauna in maintaining C-neutral atmospheric conditions under global climate change.

Determinants of COVID-19 Face Mask Litter in Coastal Urban Parking Lots: Implications for Source Modelling of Potential Microplastic Pollution

Despite cities being recognized as being potential sources of microplastic pollution to the wider environment, most surveys of COVID-19 plastic-based litter have been undertaken through linear transects of marine beaches. For the far fewer number of studies conducted on inland and urban locations, the site-specific focus has primarily been surveys along the length of streets. The present study is the first to specifically assess the standing stock (i.e., moment-in-time) of littered face masks for the entire surface area of urban parking lots. The density of face masks in 50 parking lots in a Canadian coastal town (0.00054 m2 ± 0.00051 m2) was found to be significantly greater than the background level of littering of town streets. Face mask density was significantly related to visitation “usage” of parking lots as gauged by the areal size of the lots and of their onsite buildings, as well as the number of vehicles present. Neither parking lot typology nor estimates of inferred export (various measures of wind exposure) and entrapment (various metrics of obstruction) of face masks had a significant influence on the extent of whole-lot littering. In consequence, modelling of the potential input of mask-derived microplastics to the marine environment from coastal communities can use the areal density of face masks found here in association with the total surface area of lots for individual municipalities as determined through GIS analysis.

Ghost-YOLO v8:An Attention-Guided Enhanced Small Target Detection Algorithm for Floating Litter on Water Surfaces

Addressing the challenges in detecting surface floating litter in artificial lakes,including complex environments,uneven illumination,and susceptibility to noise andweather,this paper proposes an efficient and lightweight Ghost-YOLO(You Only Look Once)v8 algorithm.The algorithmintegrates advanced attention mechanisms and a smalltarget detection head to significantly enhance detection performance and efficiency.Firstly,an SE(Squeeze-and-Excitation)mechanism is incorporated into the backbone network to fortify the extraction of resilient features and precise target localization.This mechanism models feature channel dependencies,enabling adaptive adjustment of channel importance,thereby improving recognition of floating litter targets.Secondly,a 160×160 small-target detection layer is designed in the feature fusion neck to mitigate semantic information loss due to varying target scales.This design enhances the fusion of deep and shallow semantic information,improving small target feature representation and enabling better capture and identification of tiny floating litter.Thirdly,to balance performance and efficiency,the GhostConv module replaces part of the conventional convolutions in the feature fusion neck.Additionally,a novel C2fGhost(CSPDarknet53 to 2-Stage Feature Pyramid Networks Ghost)module is introduced to further reduce network parameters.Lastly,to address the challenge of occlusion,a newloss function,WIoU(Wise Intersection over Union)v3 incorporating a flexible and non-monotonic concentration approach,is adopted to improve detection rates for surface floating litter.The outcomes of the experiments demonstrate that the Ghost-YOLO v8 model proposed in this paper performs well in the dataset Marine,significantly enhances precision and recall by 3.3 and 7.6 percentage points,respectively,in contrast with the base model,mAP@0.5 and mAP 0.5:0.95 improve by 5.3 and 4.4 percentage points and reduces the computational volume by 1.88MB,the FPS value hardly decreases,and the efficient real-time identification of floating debris on the water’s surface can be achieved costeffectively.

The Transport and Persistence of Escherichia coli in Leachate from Poultry Litter Amended Soils

Fecal coliform bacteria such as Escherichia coli (E. coli) are one of the main sources of groundwater pollution. An assessment of the transport and Persistence of E. coli in poultry litter amended Decatur silty Clay soil and Hartsells Sandy soil was conducted using soil columns and simulated groundwater leaching. Enumeration of initial E. coli was determined to range from 2.851 × 103 to 3.044 × 103 CFU per gram of soil. These results have been used in a batch study to determine the persistence rate of E. coli in Decatur silty Clay soil and Hartsells Sandy soil. Results prove that E. coli survival growth rate increases for clay soil later than and at a higher rate than sandy soil. The column study has determined that E. coli was transported at a rate of 3.7 × 106 CFU for Decatur silty loam and 6.3 × 106 CFU for Hartsells sandy per gram of soil. Further, linear regression analysis predictions show higher porosity and soil moisture content affect transport, and Hartsells sandy soil has higher transport of E. coli due to its higher porosity and lower volumetric water content.

Litter Productivity and Nutrient Return Characteristics of Three Typical Forest Stands in Golden Mountain

Objective: The paper aims to analyze the dynamic characteristics of litter production and nutrient return of the forest ecosystems in subtropical areas, and provide a theoretical basis for the nutrient cycling study in southwest Hubei Province and carbon sink function of the whole forest ecosystem. Methods: Three typical forest stands (Chinese fir plantation, Cryptomeria fortunei plantation and evergreen and deciduous broad-leaved mixed forest) in Golden Mountain Forest Farm in southwest Hubei Province were investigated and monitored continuously for the litter types and productivity and nutrient return. Results: The annual litter productivity of the three forest stands ranged from 161.77 to 396.26 kg·hm-2;Litters of branches, leaves and reproductive organs accounted for 14.14% - 20.85%, 33.26% - 78.33%, 7.52% - 42.18% of the total, respectively;The litter productivity and total litter productivity of each composition in the three forest stands show unimodal or bimodal changes over months, and the total litter productivity reached the highest value in January, April and October respectively. For different nutrient contents of the three forest stands, the common feature is C > N. The order of nutrient return amount from greatest to least is evergreen and deciduous broad-leaved mixed forest, Cryptomeria fortunei plantation and Chinese fir plantation. For different nutrient return amounts, the common feature is C > N, and the nutrient return amounts are 76.51-180.69 kg·hm-2 and 2.3 - 5.71 kg·hm-2 respectively. Conclusion: The annual litter productivity and nutrient return amount of the evergreen and deciduous broad-leaved mixed forest are the highest among the three forest stands. Therefore, protecting the evergreen and deciduous broad-leaved mixed forest and studying the litter changes of Chinese fir plantation and Cryptomeria fortunei plantation are of far-reaching significance for the development of sustainable forest management in this region and the further improvement of the carbon sequestration function of the whole forest ecosystem.

Effect of Forest Litter on the Regeneration of Larix sibirica: Insight from Aqueous Extract and Litter Coverage

The effect of litter on forest regeneration depends on the characteristics of regional climate and also shows community specificity. The influences of plant litter on seed germination and seedling growth of Larch Siberian forest in the Altai Mountains were investigated through two simulated experiments including litter coverage and litter aqueous extracts. In the litter coverage experiment, three litter coverage methods including above (D), below (S) and in the middle (Z) of litter were set with the litter coverage thickness of 0, 1, 2, and 4 cm, while two aqueous extract obtained methods using the air-dried litter and litter ash after fir were used with the concentration of 10%, 40%, 80% and 100% in the present study. Results showed that: the aqueous extracts obtained using the air-dried litter restrained the seed germination, while the aqueous extracts obtained using litter ash improved the seed germination. Compared with other litter concentration, the influences of 100% concentration reach highest. The seed germination rate, seed germination potential and vital index under the treatment of seeds above the litter coverage were highest, which were significantly higher than other treatments. The above-ground biomass was significantly higher and the inhibition index of below-ground bio-mass was significantly lower under the treatment of seed above the litter with thin litter cover-age (S1) compared to other litter coverage treatments. These results indicated that the litter aqueous extract and the litter coverage had a combined effect on the seed germination and seedling growth of Siberian larch forest. Fire disturbance could promote seed germination by modifying the adverse effects of litter aqueous extracts and litter coverage, and thus plays an important role in the regeneration of Siberian larch in the Altai Mountains.

Ecological stoichiometric comparison of plant-litter-soil system in mixed-species and monoculture plantations of Robinia pseudoacacia,Amygdalus davidiana,and Armeniaca sibirica in the Loess Hilly Region of China

We examined how afforestation patterns impact carbon(C),nitrogen(N),and phosphorus(P)stoichiometry in the plant-litter-soil system.Plant leaf,branch,stem,and root,litter,and soil samples were collected from mixedspecies plantations of Robinia pseudoacacia with Amygdalus davidiana(RPAD),R.pseudoacacia with Armeniaca sibirica(RPAS),and monocultures of R.pseudoacacia(RP),A.davidiana(AD),and A.sibirica(AS)in the Loess Hilly Region.The results showed that in mixed-species plantations,R.pseudoacacia had lower leaf N and P concentrations than in monocultures,while both A.davidiana and A.sibirica had higher leaf N and P concentrations.Soil P limited tree growth in both afforestation models.Mixing R.pseudoacacia with A.davidiana or A.sibirica reduced N-limitation during litter decomposition.Average soil total N and P concentrations were higher in RPAS than in RPAD,and both were higher than the corresponding monocultures.The average soil C:N ratio was the smallest in RPAS,while the average soil C:P ratio was larger in RPAS than in RP.A positive correlation between N and P concentrations,and between C:N and C:P ratios,was found in litter and all plant organs of mono-and mixedstands.Alternatively,for N concentration and C:N ratio,the correlations between plant(i.e.,leaf,branch,root)and litter and between plant and soil were inverse between plantation types.RPAD has an increased litter decomposition rate to release N and P,while RPAS has a faster rate of soil N mineralization.RPAD was the best plantation(mixed)to improve biogeochemical cycling,as soil nutrient restrictions,particularly for P-limitation,on trees growth were alleviated.This study thus provides insights into suitable tree selection and management by revealing C:N:P stoichiometry in the plant-litter-soil system under different afforestation patterns.

Lightweight Surface Litter Detection Algorithm Based on Improved YOLOv5s

In response to the problem of the high cost and low efficiency of traditional water surface litter cleanup through manpower,a lightweight water surface litter detection algorithm based on improved YOLOv5s is proposed to provide core technical support for real-time water surface litter detection by water surface litter cleanup vessels.The method reduces network parameters by introducing the deep separable convolution GhostConv in the lightweight network GhostNet to substitute the ordinary convolution in the original YOLOv5s feature extraction and fusion network;introducing the C3Ghost module to substitute the C3 module in the original backbone and neck networks to further reduce computational effort.Using a Convolutional Block Attention Mechanism(CBAM)module in the backbone network to strengthen the network’s ability to extract significant target features from images.Finally,the loss function is optimized using the Focal-EIoU loss func-tion to improve the convergence speed and model accuracy.The experimental results illustrate that the improved algorithm outperforms the original Yolov5s in all aspects of the homemade water surface litter dataset and has certain advantages over some current mainstream algorithms in terms of model size,detection accuracy,and speed,which can deal with the problems of real-time detection of water surface litter in real life.

The amelioration of degraded larch(Larix olgensis)soil depends on the proportion of Aralia elata litter in larch-A.elata agroforestry systems

Research has indicated that introducing Aralia elata into larch plantations forms an agroforestry system which could provide economic benefi ts for local farmers and improve degraded soils.However,the impact of litter mixtures on soil chemical and microbial properties in this agroforestry system are unclear,which limits effi cient management of the agroforestry system.A 365-d incubation experiment examined the eff ect of litter mixtures of diff erent proportions of larch(L)and A.elata(A)on soil chemical and microbial properties.The results show that levels of mineral N,available P,microbial biomass carbon and nitrogen,cumulative C mineralization,and activities of hydrolases and oxidases increased with an increase of A.elata in the litter mixtures.Concentration of total soil carbon,nitrogen,and phosphorous did not change(except for total nitrogen).Compared with larch litter alone,levels of mineral N,available P,microbial biomass carbon and nitrogen,cumulative C mineralization,and the activities of hydrolases and oxidases increased by 7.6–433.5%.Most chemical and microbial properties were positively correlated with mixed litter proportions and the initial levels of N,P,K,Ca,Mg,Mn,Zn and Cu in the litter,while negatively correlated with the initial concentrations of C,Fe and lignin,C/N and lignin/N ratios.The results indicate that A.elata litter can improve degraded larch soil and the degree depends on the proportion of A.elata litter in the litter mixtures.

Effectiveness of Combined Biochar and Lignite with Poultry Litter on Soil Carbon Sequestration and Soil Health

Healthy soils are important to ensure satisfactory crop growth and yield. Poultry litter (PL), as an organic fertilizer, has proven to supply the soil with essential macro and micronutrients, enhance soil fertility, and improve crop productivity. Integrating this treatment has the potential to improve soil physical and biological properties by increasing soil carbon, C. However, rapid decomposition and mineralization of PL, particularly in the hot and humid southeastern U.S., resulted in losing C and reduced its effect on soil health. Biochar and lignite have been proposed to stabilize and mitigate C loss through application of fresh manure. However, their combined effects with PL on C sequestration and soil health components are limited. A field experiment was conducted on Leeper silty clay loam soil from 2017 to 2020 to evaluate the combined effect on soil properties when applying biochar and lignite with PL to cotton (Gossypium hirsutum L.). The experimental design was a randomized complete block involving nine treatments replicated three times. Treatments included PL and inorganic nitrogen, N, fertilizer with or without biochar and lignite, and an unfertilized control. Application rates were 6.7 Mgkg⋅ha−1 for PL, 6.7 Mgkg⋅ha−1 for biochar and lignite and 134 kg⋅ha−1 for inorganic N fertilizer. Integration of PL and inorganic fertilizer with biochar and lignite, resulted in greater soil infiltration, aggregate stability, plant available water, reduced bulk density and penetration resistance as compared to the sole applications of PL and inorganic fertilizer.

How do international agreement constraints affect marine litter management strategies?A research based on differential game

Based on differential game theory,the decision-making problem of two homogeneous countries facing transboundary marine litter governance is studied.On the basis of assuming that the input of marine litter is an exogenous variable,the focus is on reducing the accumulation of marine litter through cleanup and transfer processing by both parties.Considering the constant and increasing input of marine litter,in the framework of international agreement constraints,the analysis of the game behavior of the players in the marine litter governance under the open-loop strategy(in the case of agreement constraints)and the Markov strategy(in the case of no agreement constraints)was compared and analyzed.The research results show that when the direct pollution cost of marine litter is high enough,both sides of the game adopt an open-loop strategy that complies with the constraints of the agreement,which can reduce the accumulation of marine litter and improve the environmental quality.However,when there is a high initial accumulation of marine litter,the Markov strategy without protocol constraints will be better than the open-loop strategy.In the case that marine litter does not need to be transferred,there will be no difference between the two sides of the game adopting the Markov strategy and adopting the open-loop strategy on the equilibrium growth path.

滇中地区主要森林凋落物有效截留量及其影响因素

[目的]研究滇中地区主要森林类型凋落物有效截留量差异及其影响因素,为该地未来植被恢复和森林管理提供科学支撑。[方法]利用样方调查法、烘干法和浸泡法分析了昆明市双河—磨南德水源林自然保护区内的地带性次生常绿阔叶林(SF)、针阔混交林(TF)、旱冬瓜林(ACF)、华山松林(PA)、成熟云南松林(OPY)、幼龄云南松林(YPY)、银荆林(AD)7种主要森林类型凋落物未分解层(OL)和半分解层(OF)的有效截留量及其影响因素。[结果](1) 7种森林类型凋落物厚度为2.06~7.57 cm,其中OL层1.10~4.30 cm, OF层0.83~3.93 cm,凋落物层厚度排序为TF>ACF>PA>OPY>SF>AD>YPY,凋落物蓄积量为4.75~17.45 t/hm^(2),其中OL层占比为32.02%~62.48%,OF层占比为37.52%~67.98%,凋落物层蓄积量排序为TF>PA>SF>OPY>ACF>AD>YPY。(2)凋落物最大持水率为115.3%~170.7%,初始吸水速率为3.65~5.62 g/(g·h),凋落物持水率和浸水时间的关系可用对数函数y=aln(x)+b表示,吸水速率与浸水时间可用幂函数y=kt~n表示。(3)凋落物最大持水量为7.05~32.19 t/hm^(2),排序为PA>TF>SF>OPY>ACF>AD>YPY,有效截留量为5.45~25.34 t/hm^(2),以TF最高(25.34t/hm^(2)),PA(24.99 t/hm^(2))和SF(24.62 t/hm^(2))次之,YPY最低(5.45t/hm^(2)),影响有效截留量的场地特征主要为蓄积量、自然含水率、分解强度以及厚度,影响有效截留量的水动力过程主要是最大失水量、前6.0 h平均吸水速率和前2.0 h平均吸水速率。[结论]滇中地区未来植树造林应以针阔混交林为主,注重对地带性次生常绿阔叶林的保育,采取辅助自然更新的措施促进人工纯林向混交林演化,同时减少踩踏、收集凋落物等人类活动的干扰,从而增加森林生态系统凋落物的水源涵养能力。

去除凋落物和草毡层对寒温带典型森林土壤活性有机碳的短期影响

[目的]探究去除凋落物和草毡层对寒温带森林土壤活性有机碳的影响,为我国寒温带森林土壤碳循环的研究提供科学参考。[方法]以大兴安岭北部3种典型森林(白桦林、樟子松林和兴安落叶松林)为研究对象,在3种林型中设置对照、去除凋落物、去除草毡层以及去除凋落物和草毡层4种处理,于2021年9月对各处理不同土层(0—10 cm和10—20 cm)土壤进行取样,研究其土壤活性有机碳组分及其影响因子。[结果]在0—10 cm土层,与对照相比,去除凋落物后土壤可溶性有机碳和易氧化有机碳含量在白桦林和樟子松林中无显著变化,而在兴安落叶松林中显著降低了25.49%和39.40%;土壤微生物量碳含量在白桦林和兴安落叶松林中显著降低了19.26%和18.86%,而在樟子松林中无显著变化。去除草毡层后土壤可溶性有机碳和易氧化有机碳含量在白桦林和樟子松林中显著降低了16.08%,60.69%和17.38%,17.33%,而在兴安落叶松林中的变化不显著;土壤微生物量碳含量在3种林型中显著降低了19.47%~42.02%。同时去除凋落物和草毡层后3种林型土壤微生物量碳和易氧化有机碳含量极显著降低了22.03%~27.01%和52.22%~57.01%;土壤可溶性有机碳含量降低了11.25%~22.18%,其中白桦林和樟子松林达显著水平;在10—20 cm土层,不同去除处理对3种林型土壤可溶性有机碳和微生物量碳含量均无显著影响,白桦林和樟子松林土壤易氧化有机碳含量分别在去除草毡层以及同时去除凋落物和草毡层后显著降低,而兴安落叶松林土壤易氧化有机碳含量无明显变化。3种林型土壤活性有机碳各组分与土壤总有机碳、全氮、含水量呈显著正相关,与土壤pH则呈显著负相关。[结论]去除凋落物和草毡层降低了土壤活性有机碳含量,凋落物和草毡层的存在有利于土壤活性有机碳的形成与累积。

云南乌蒙山国家级自然保护区珙桐林生态化学计量特征

【目的】探究国家Ⅰ级珍稀濒危植物珙桐生态化学计量特征,揭示珙桐林生态系统养分元素状况和生长限制因子。【方法】在云南乌蒙山国家级自然保护区不同海拔段设置4个样地,编号分别为Ⅰ、Ⅱ、Ⅲ、Ⅳ,利用单因素方差分析及多重比较等方法研究珙桐林叶片-凋落物-土壤3种组分C、N、P含量及其比值的差异性、相关性,用冗余分析方法探究土壤化学计量特征的响应因子。【结果】珙桐叶片C、N、P平均含量分别为520.97、22.73、1.43 g/kg,凋落物C、N、P平均含量分别为459.87、10.96、1.35 g/kg,土壤C、N、P平均含量分别为74.81、7.94、0.79 g/kg,叶片、凋落物、土壤C、N、P平均含量表现为叶片>凋落物>土壤。不同样地同一组分间土壤C、N、P含量差异显著,表现为Ⅳ>Ⅲ>Ⅱ>Ⅰ(Ⅰ:58.47±1.88、5.73±0.41、0.06±0.02 g/kg;Ⅱ:64.45±2.29、6.82±0.19、0.61±0.08 g/kg;Ⅲ:75.94±1.32、7.88±0.16、1.11±0.06 g/kg;Ⅳ:100.39±1.24、11.32±0.25、1.36±0.10 g/kg),叶片、凋落物差异不显著;同一样地不同组分间C含量差异显著,表现为叶片>凋落物>土壤,N、P含量差异不显著;不同样地同一组分、同一样地不同组分间C∶N、C∶P、N∶P存在显著差异。叶片、凋落物、土壤C、N、P含量及比值间相关性显著;海拔、非毛管孔隙度和坡度、毛管孔隙度、粉砂粒含量是影响土壤养分含量的关键环境因子。【结论】云南乌蒙山国家级自然保护区珙桐林不同海拔样地间土壤C、N、P含量及其比值存在显著差异,叶片、凋落物差异不明显,根据生态化学计量特征表明样地Ⅳ珙桐生长受P元素限制,海拔、非毛管孔隙度、坡度、毛管孔隙度、粉砂粒含量是影响珙桐林土壤养分循环的关键环境因子。

基于转录组测序分析猪子宫内膜妊娠中的关键非编码RNA及其调控通路

【目的】探究调控具有不同产仔数的川乡黑猪和藏猪的猪子宫内膜妊娠过程的相关miRNA、lncRNA及靶基因,进一步揭示影响不同品种猪子宫内膜妊娠相关非编码RNA富集的信号通路。【方法】对平均产仔数为11.35和6.70的川乡黑猪和藏猪第2、5胎次的子宫内膜进行分离,提取RNA,质检合格后进行转录组测序,测序数据经过拼接、比对到miRNA和lncRNA并预测其靶基因,进行GO和KEGG富集分析筛选到调控川乡黑猪和藏猪不同产仔数的候选基因以及信号富集通路。【结果】不同胎次的川乡黑猪和藏猪之间存在多个miRNA、lncRNA及靶基因的差异表达,其中第2胎次具有1571个miRNA和2042个lncRNA差异表达,第5胎次具有1042个miRNA和2096个lncRNA差异表达。进一步根据靶基因的GO和KEGG富集分析发现川乡黑猪在促性腺激素释放激素(GnRH)分泌、ECM受体互作以及Wnt信号通路等的富集程度高于藏猪。同时发现川乡黑猪相比藏猪有醛固酮调节钠重吸收、谷胱甘肽代谢、果糖和甘露糖代谢等过程的富集。此外,已鉴定的关键候选调控基因包括FSHR(Follicle stimulating hormone receptor)、DBX1(Developing brain homeobox 1)、ARID2(AT-rich interaction domain 2)、TNC(Tenascin C)、NT5C2(Neuropilin 2)、LAMC3(Laminin subunit gamma 3)、MADD(MAP kinase activating death domain)等。【结论】高产仔数的川乡黑猪相比低产仔数的藏猪在子宫内膜妊娠过程中有更高的促性腺激素释放激素(GnRH)分泌、ECM受体互作以及Wnt信号通路富集(GO分析结果),同时也有代谢途径的参与(KEGG分析结果)。涉及到的关键调控基因主要有FSHR、DBX1等。本研究为探究非编码RNA在猪子宫内膜妊娠过程中的功能及其分子调控机制提供了新的思路。

东北槭属植物凋落叶对东北槭生长的影响及其化感作用初探

为解决东北槭小苗生长缓慢成材周期长,寻求促进其生长的途径,采用温室培养的方法,以一年生东北槭小苗为受体,通过高生长量、叶长、叶宽、冠幅、地上鲜重、地下鲜重及叶绿素含量、POD活性的测定,研究茶条槭、元宝槭凋落叶及假色槭和东北槭混合凋落叶粉碎物对东北槭小苗生长的影响。结果表明,茶条槭凋落叶对东北槭表现出了“低促高抑”的化感作用,当添加量最大120g/10kg时,小苗受到抑制。元宝槭凋落叶添加量最大时各指标促进作用显著,东北槭高生长量增加了1倍。混合凋落叶对东北槭生长无明显作用。

凋落物处理对华山松人工林土壤呼吸的影响

【目的】通过探讨凋落物添加和去除处理对土壤呼吸速率的影响,为人工林土壤碳库管理提供理论依据。【方法】以神农架林区华山松人工林为研究对象,2021年4月—2022年3月通过设置对照(CK)、凋落物去除(LR)和凋落物添加(LA)3种处理,采用Li-8100A土壤碳通量测量系统测定土壤呼吸速率和土壤温湿度,研究土壤呼吸速率对凋落物处理的响应规律。【结果】1)3种处理间的土壤温度和土壤含水量均无显著差异(P>0.05),土壤呼吸速率与土壤温度的变化趋势一致,最大值均出现在7月,最小值均出现在2月;2)3种处理下土壤呼吸速率的年平均值为LA(2.17μmol·m^(-2)·S^(-1))>CK(1.69μmol·m^(-2)·S^(-1))>LR(1.25μmol·m^(-2)·S^(-1)),与对照相比,凋落物去除使土壤呼吸速率年均降低了26.02%,凋落物添加使土壤呼吸速率年均提高了29.48%;3)不同凋落物处理的土壤呼吸速率与土壤温度均呈极显著正相关(P<0.01),土壤温度分别解释了3种处理下土壤呼吸速率97.31%、99.18%和95.37%的变异。而土壤呼吸速率与土壤含水量相关性不显著(P>0.05),华山松人工林土壤呼吸速率的主要影响因子是土壤温度;4)土壤呼吸温度敏感性指数(Q10)为CK(2.98)>LR(2.91)>LA(2.88),凋落物去除和添加处理均降低了土壤呼吸温度敏感性。【结论】凋落物输入量的改变对土壤呼吸速率具有重要影响,且不同处理方式对土壤呼吸影响程度不一致。

云南澳洲坚果凋落物、修枝和果实收获的养分累积特征研究

针对云南澳洲坚果生产中钙(Ca)、镁(Mg)、锌(Zn)、硼(B)元素养分缺乏的现状,通过解析树体凋落物、修枝和果实的Ca、Mg、Zn、B元素养分累积特征,为优化澳洲坚果钙、镁、锌、硼养分管理、助力澳洲坚果提质增效生产提供理论依据。2021-2022年连续2 a以澳洲坚果品种A16的丰产树为试材,研究凋落物、修枝和果实收获中干物质量及Ca、Mg、Zn、B元素养分含量和累积分配量,结果表明:澳洲坚果凋落物、修枝、果实收获干物质量平均为35.77 kg/株,其中,凋落物、修枝、果实收获分别占总干物质量的19%、32%、49%。不同组织间Ca、Mg、Zn、B元素养分含量均存在显著差异,整体表现为:Ca>Mg>B>Zn。年平均Ca、Mg、Zn、B元素养分累积总量分别为126.13、23.39、0.25、0.89 g/株;凋落物、修枝、果实收获的Ca元素养分累积分配分别为45%、48%、7%;Mg元素养分累积分配分别为26%、33%、41%;Zn元素养分累积分配分别为25%、28%、47%;B元素养分累积分配分别为44%、36%、20%。其中,叶(落叶和修枝叶)为Ca、B元素养分主要累积分配部位,而修枝叶和果仁为Mg、Zn元素主要累积分配部位。表观养分平衡估算指出,Ca、Mg、Zn、B元素带走的总养分分别为45.41、8.42、0.09、0.32 kg/hm^(2),除去凋落物归还的部分养分,在没有外源Ca、Mg元素养分投入,Zn和B元素养分投入0.08 kg/hm^(2)的情况下,澳洲坚果园Ca、Mg和B元素养分处于亏缺状态。该研究结果可为澳洲坚果养分优化管理提供依据。