Canonical corelation analysis to land-use structure and its driving forces——Taking Yulin Prefecture as an example

In this paper, one of the most classical statistical methods, Canonical Correlation Analysis (CCA) is applied to identify quantitatively the driving forces of landuse structure in Yulin Prefecture. The main analysis is carried out through the software SPSS with the data on the level of towns and townships in 1992. The results indicate that landuse structure is determined by comprehensive action of different factors. Landuse structure with rural characteristics is mainly determined by geographical factors such as the elevation, temperature and precipitation, while the landuse structure with urban characteristics is mainly determined by demographic and socioeconomic conditions. At the same time, tests were carried out through the canonical correlation coefficient and redundancy analysis.

拉林河浮游植物三种功能群分布特征及其与环境因子的关系

浮游植物是河流生态系统能量流动与信息传递的关键环节。浮游植物及其功能性状对于水体水文条件、理化特征及气候变化敏感,因此被广泛应用于水体环境监测。拉林河流域是我国北方重要稻米基地和商品粮基地,受农业面源污染严重。然而,拉林河流域浮游植物群落演替规律尚不明确,基于不同生态属性的功能群对拉林河环境的指示意义仍不清晰。于2021年春季和夏季在拉林河流域设置23个采样点对浮游植物群落进行定性定量分析。基于浮游植物功能群(functional group,FG)、生态功能群(morpho-functional group,MFG)和形态功能群(morphology-based functional group,MBFG)分析浮游植物群落演替特征。通过冗余分析(redundancy analysis,RDA)揭示驱动浮游植物群落演替的关键环境因子。结果显示,研究期间拉林河流域浮游植物群落演替明显,划分FG功能群25个,MFG功能群24个,MBFG功能群7个。FG、MFG和MBFG功能群的演替受多种环境因素共同影响,其中水温(water temperature,WT)和总氮(total nitrogen,TN)与功能群演替关系密切。经研究表明FG功能群能更好的响应拉林河流域水环境的时空异质性。相较于传统的林奈分类法,FG功能群提供了高效、简便且能反映生态信息的划分方式。在未来对于拉林河流域水生生物多样性保护及环境监测研究中,FG功能群是可靠的研究手段。

Modern pollen assemblages and their relationships with vegetation and climate on the northern slopes of the Tianshan Mountains, Xinjiang, China

The reconstruction of paleovegetation and paleoclimate requires an understanding of the relationships between surface pollen assemblages and modern vegetation and climate.Here,we analyzed the characteristics of surface pollen assemblages across different vegetation zones in the Tianshan Mountains.Using surface pollen analysis and vegetation sample surveys at 75 sites on the northern slopes of the Tianshan Mountains,we determined the correlation between the percentage of dominant pollen types and the corresponding vegetation cover.Redundancy analysis was used to investigate the relationships between surface pollen assemblages and environmental factors.Our results show that the Tianshan Mountains contain several distinct ecological regions,which can be divided into five main vegetation zones from low to high altitudes:mountain desert zone(Hutubi County(HTB):500-1300 m;Qitai County(QT):1000-1600 m),mountain steppe zone(HTB:1400-1600 m;QT:1650-1800 m),mountain forest zone(HTB:1650-2525 m;QT:1850-2450 m),subalpine meadow zone(HTB:2550-2600 m;QT:2500-2600 m),and alpine mat vegetation zone(HTB:2625-2700 m;QT:2625-2750 m).The surface pollen assemblages of different vegetation zones can accurately reflect the characteristics of the mountainous vegetation patterns on the northern slopes of the Tianshan Mountains when excluding the widespread occurrence of Chenopodiaceae,Artemisia,and Picea pollen.Both average annual precipitation(P_(ann))and annual average temperature(T_(ann))affect the distribution of surface pollen assemblages.Moreover,P_(ann) is the primary environmental factor affecting surface pollen assemblages in this region.A significant correlation exists between the pollen percentage and vegetation cover of Picea,Chenopodiaceae,Artemisia,and Asteraceae.Moreover,Picea,Chenopodiaceae,and Artemisia pollen are over-represented compared with their corresponding vegetation cover.The Asteraceae pollen percentage roughly reflects the distribution of a species within the local vegetation.These results have important implications for enhancing our understanding of the relationship between surface pollen assemblages and modern vegetation and climate.

Effects of sediment dredging on water quality and zooplankton community structure in a shallow of eutrophic lake

Effects of suction dredging on water quality and zooplankton community structure in a shallow of eutrophic lake, were evaluated. The results showed that a decreasing trend for levels of phosphorus, organic matter, total suspended solids, Chlorophyll a and Secchi transparency in the water column was found, while levels of water depth, electrical conductivity, total dissolved solids and NO3^--N concentration increased markedly post-dredging. The effects of dredging on dissolved oxygen, pH value and temperature were almost negligible. The zooplankton community structure responded rapidly to the environmental changes caused mainly by dredging. As a result, the abundance of rotifers decreased, while the density of zooplanktonic crustaceans increased markedly. The representative taxa were Brachionus angularis, B. budapestinensis, B. diversicornis, Synchaeta spp. and Neodiaptomus schmackeri. A distinct relationship between zooplankton taxa composition and their environment, unraveled by a redundancy analysis, indicating that the measured environment contributed to the variations in the zooplankton community structure to some extent. The first four synthetic environmental variables explained 51.7% of the taxonomic structure. Therefore, with the reduction of internal nutrient load and a shift in dominance by less eutrophic species, it inferred that dredging might be one of effective measures for environmental improvements of such lakes.

Microbial community dynamics during composting of animal manures contaminated with arsenic,copper,and oxytetracycline

Effects of the heavy metal copper(Cu), the metalloid arsenic(As), and the antibiotic oxytetracycline(OTC) on bacterial community structure and diversity during cow and pig manure composting were investigated. Eight treatments were applied, four to each manure type, namely cow manure with:(1) no additives(control),(2) addition of heavy metal and metalloid,(3) addition of OTC and(4) addition of OTC with heavy metal and metalloid;and pig manure with:(5) no additives(control),(6) addition of heavy metal and metalloid,(7) addition of OTC and(8) addition of OTC with heavy metal and metalloid. After 35 days of composting, according to the alpha diversity indices, the combination treatment(OTC with heavy metal and metalloid) in pig manure was less harmful to microbial diversity than the control or heavy metal and metalloid treatments. In cow manure, the treatment with heavy metal and metalloid was the most harmful to the microbial community, followed by the combination and OTC treatments. The OTC and combination treatments had negative effects on the relative abundance of microbes in cow manure composts. The dominant phyla in both manure composts included Actinobacteria, Bacteroidetes, Firmicutes, and Proteobacteria. The microbial diversity relative abundance transformation was dependent on the composting time. Redundancy analysis(RDA) revealed that environmental parameters had the most influence on the bacterial communities. In conclusion, the composting process is the most sustainable technology for reducing heavy metal and metalloid impacts and antibiotic contamination in cow and pig manure. The physicochemical property variations in the manures had a significant effect on the microbial community during the composting process. This study provides an improved understanding of bacterial community composition and its changes during the composting process.

The key environmental factors driving the succession of phytoplankton functional groups in Hongfeng Reservoir, southwest China

Reservoirs are an important water source in many densely populated areas in southwest China.Phytoplankton play an essential role in maintaining the structure and function of reservoir ecosystems.Understanding the succession in phytoplankton communities and the factors driving it are essential for eff ective water quality management in drinking water reservoirs.In this study,water samples were collected monthly at the surface layers from March 2016 to December 2019 in Hongfeng Reservoir,southwest China.The relationship between functional group succession was analyzed based on nonmetric multidimensional scaling analysis(NMDS),redundancy analysis(RDA),succession rate,and other analysis methods.The results showed distinct shifts in the community structure of phytoplankton functional groups within study period.The Cyclotella sp.was dominant in 2016 and 2017,and Pseudanabaena limnetica was the dominant group in 2018 and 2019.It appears that the phytoplankton composition and biomass are closely related to the water temperature and nutrient status in this reservoir.The results clearly showed that the permanganate index(COD_(Mn))was the key factor of dramatic phytoplankton functional group succession,and the change in succession rates was closely caused by total nitrogen concentration(TN).Therefore,the succession pattern and key factors of Hongfeng Reservoir revealed in this study were important guidance for the management of drinking water reservoirs in southwest China.A reasonable limit on exogenous nutrient input should be a priority,especially in high water temperature period.

Soil Microbial Community Composition During Natural Recovery in the Loess Plateau, China

This study aimed to determine the characteristics of soil microbial community composition and its relationship with soil chemical properties during natural recovery in the Loess Plateau.The soil microbial community composition was analyzed by comparing the soil microbial phospholipid fatty acids（PLFAs） of eight croplands abandoned for 1,3,5,10,13,15,20,and 30 yr in the Dunshan watershed,northern Loess Plateau,China.The results showed that soil organic carbon,total nitrogen,soil microbial biomass carbon,and soil microbial biomass nitrogen significantly increased with the abandonment duration,whereas the metabolic quotient significantly decreased.The Shannon richness and Shannon evenness of PLFAs significantly increased after 10 yr of abandonment.Gram-negative,Gram-positive,bacterial,fungal,and total PLFAs linearly increased with increased abandonment duration.Redundancy analysis showed that the abandonment duration was the most important environmental factor in determining the PLFA microbial community composition.The soil microbial PLFAs changed from anteiso-to iso-,unsaturated to saturated,and short-to long-chain during natural recovery.Therefore,in the Loess Plateau,cropland abandonment for natural recovery resulted in the increase of the soil microbial PLFA biomass and microbial PLFA species and changed the microbial from chemolithotrophic to a more heterotrophic community.

Precipitation and soil particle size co-determine spatial distribution of biological soil crusts in the Gurbantunggut Desert, China

Biological soil crusts （BSCs） are bio-sedimentary associations that play crucial ecological roles in arid and semi-arid regions. In the Gurbantunggut Desert of China, more than 27% of the land surface is characterized by a predominant cover of lichen-dominated BSCs that contribute to the stability of the desert. However, little is known about the major factors that limit the spatial distribution of BSCs at a macro scale. In this study, the cover of BSCs was investigated along a precipitation gradient from the margins to the center of the Gurbantunggut Desert. Environmental variables including precipitation, soil particle size, soil pH, electrical conductivity, soil organic carbon, total salt, total nitrogen, total phosphorus and total potassium were analyzed at a macro scale to determine their association with differing assemblages of BSCs （cyanobacteria crusts, lichen crusts and moss crusts） using constrained linear ordination redundancy analysis （RDA）. A model of BSCs distribution correlated with environmental variables that dominated the first two axes of the RDA was constructed to clearly demonstrate the succession stages of BSCs. The study determined that soil particle size （represented by coarse sand content） and precipitation are the most significant drivers influencing the spatial distribution of BSCs at a macro scale in the Gurbantunggut Desert. The cover of lichen and moss crusts increased with increasing precipitation, while the cover of cyanobacteria crusts decreased with increasing precipitation. The cover of lichen and moss crusts was negatively associated with coarse sand content, whereas the cover of cyanobacteria crusts was positively correlated with coarse sand content. These findings highlight the need for both the availability of soil moisture and a relatively stable of soil matrix, not only for the growth of BSCs but more importantly, for the regeneration and rehabilitation of disturbed BSC communities in arid and semi-arid lands. Thereby, this study will provide a theory basis to effectively increase soil stability in desert regions.

Fish-mediated changes in bacterioplankton community composition: an in situ mesocosm experiment

We characterized variations in bacterioplankton community composition(BCC) in mesocosms subject to three different treatments. Two groups contained fish(group one: Cyprinus carpio; group two: Hypophthalmichthys molitrix); and group three, the untreated mesocosm, was the control. Samples were taken seven times over a 49-d period, and BCC was analyzed by PCR-denaturing gradient gel electrophoresis(DGGE) and real-time quantitative PCR(q PCR). Results revealed that introduction of C. carpio and H. molitrix had a remarkable impact on the composition of bacterioplankton communities, and the BCC was significantly diff erent between each treatment. Sequencing of DGGE bands revealed that the bacterioplankton community in the different treatment groups was consistent at a taxonomic level, but differed in its abundance. H. molitrix promoted the richness of Alphaproteobacteria and Actinobacteria, while more bands affiliated to Cyanobacteria were detected in C. carpio mesocosms. The redundancy analysis(RDA) result demonstrated that the BCC was closely related to the bottom-up(total phosphorus, chlorophyll a, phytoplankton biomass) and top-down forces(biomass of copepods and cladocera) in C. carpio and control mesocosms, respectively. We found no evidence for top-down regulation of BCC by zooplankton in H. molitrix mesocosms, while grazing by protozoa(heterotrophic nanoflagellates, ciliates) became the major way to regulate BCC. Total bacterioplankton abundances were significantly higher in C. carpio mesocosms because of high nutrient concentration and suspended solids. Our study provided insights into the relationship between fish and bacterioplankton at species level, leading to a deep understanding of the function of the microbial loop and the aquatic ecosystem.

Effects of Tillage Practices and Straw Management on Physical Properties of Mollisols,Root Architecture and Maize Yield in Northeast China

Tillage practices and organic amendment are strategies used worldwide to preserve the properties and fertility of soils.This study aimed to elucidate effects of 3-year field treatments of tillage practice and straw management on physical properties of Mollisols,root architecture and maize yield in northeast China.The experiment was conducted from 2015 to 2018 following a splitplot design of a randomized complete block with tillage practices[rotary tillage(R)and deep tillage(D)]as main plots and straw managements[straw returning(S),straw returning and organic fertilizer(M),straw removal(T)]as subplots.Soil samples at 0-15,15-30,30-50 cm depths and root samples at the seedling stage were collected.The results showed that DM treatment significantly improved soil moisture content at 10-50 cm soil depth and decreased soil compaction(P<0.05),which led to a better root architecture.Rotary tillage had a slower thermal conductivity but better thermal insulation performance,while deep tillage showed a higher daily temperature difference.Bulk density of topsoil was significantly lower in DS(1.16 g·cm^(-3))than in other treatments,but the soil permeability in DS(1.40 mm·min^(-1)in 0-15 soil depth and 1.45 mm·min-1in 15-30 cm soil depth)was the highest.At the maize seedling stage,DM had the highest root dry weight,root-shoot ratio and root length,while RM had the highest root volume,root furcation number and root tip number.The maize yield of three years in DM was 6.19%,5.21%and 15.72%higher than that in DS,DT and RM(P<0.01),respectively.Relative to RT and DT,a slight decrease(2.72%and 0.93%,respectively)in maize yield under RS and DS was observed,which could be alleviated by the addition of organic fertilizer.The correlation matrix indicated that kernel per ear number and 100-kernel weight were the dominant factors that affected maize yield.Redundancy analysis suggested that straw managements and tillage practices were significantly positively correlated with root-shoot ratio,root dry weight,maximum root length,the total root length and maize yield,but significantly negatively correlated with soil compaction,bulk density,soil moisture content and soil temperature.Among all the treatments,deep tillage with straw returning and the addition of organic fertilizer was recommended as a promising strategy in restoring soil productivity,promoting maize growth and increasing maize yield in Mollisols of northeast China and similar regions around the world.

Effect of gastrointestinal heat retention syndrome on gut microbiota in children with upper respiratory tract infection and lung-heat syndrome

Objective:Gastrointestinal heat retention syndrome(GHRS)is associated with lung-heat syndrome and is related to recurrent respiratory infection.Upper respiratory tract infection(URTI)lung heat syndrome is common in children.The study will explore the effect of GHRS on the structure and function of gut microbiota in children with URTI lung-heat syndrome.Methods:Participants were divided into both groups using the self-developed URTI scale and the“GHRS Diagnostic Scale$Pediatric Part”:GHRS-positive children(LS group)and GHRS-negative children(L group).General information,clinical symptoms,and stool were collected.We used 16S rRNA amplicon sequencing technology to determine the gene sequence of the V3eV4 region in feces and measure the gut microbiota of the both groups at the genus level.Results:A total of 23 children were included in the both groups.There were 12 cases in the LS group and 11 cases in the L group.There was no statistical difference between the both groups in age,gender,height,weight,and body mass index.The effective sequences shared by the both groups accounted for 85.66%of the total.In the gut microbiota,there was no difference in the a diversity and the b diversity between the both groups.Compared with the L group,the LS group had a significant increase in the relative abundance of the Ruminococcus gnavus group,Prevotella-9,Staphylococcus,and Actinomyces(P<.05).The functions of the both groups of microbiota primarily concentrate on metabolism,genetic information processing,and environmental information processing.The relative abundance of signaling molecules and interactions in the LS group were higher than that in the L group(P<.05).The redundancy analysis(RDA)showed that the URTI score had the greatest impact on the distribution of microbiota.Conclusion:GHRS may affect the development of URTI lung-heat syndrome by changing the relative abundances of gut microbiota.

Effects of Long-term Application of Bag-controlled Slow-release Fertilizer on the Form and Availability of Phosphorus in Red Soil of Southern China

The insufficient supply of phosphorus is the main problem facing agriculture and forestry production in red soil region of southern China.To investigate whether applying bag-controlled slow-release fertilizer can improve the phosphorus availability and available phosphorus component content,with Gaofeng State-owned Eucalyptus Plantations Forest Farm in Guangxi red soil region as the research object,comparative test of different fertilizer types and fertilizer amount of bag-controlled slow-release fertilizer with conventional fertilization(G1),bag-controlled slow-release fertilizer with reducing fertilization(G2),traditional compound fertilizer(G3),basal fertilizer(G4),and no fertilization(G5)was designed.Soil phosphorus classification method was used to determine the content of phosphorus components in the soil,and redundancy analysis was used to study the effects of components on tree growth.The results showed that:compared with traditional fertilization,bag-controlled slow-release fertilizer significantly increased the contents of AP,Pi,Fe-P and other components in soil;the phosphorus activation coefficients of G2 and G1 were significantly higher than those of the other three treatments,and the order was G2>G1>G4>G5>G3;redundancy analysis showed that PAC and Fe-P had the most significant effect on plant growth among all phosphorus components.The application of bag-controlled slow-release fertilizer in red soil of eucalyptus plantation in southern China could promote the accumulation of phosphorus and increase the phosphorus activity.The mechanism of higher phosphorus use efficiency in bag-controlled slow-release fertilizer was mainly through the sustained phosphorus input and reducing phosphorus immobilization in soil by obstructing the contact of phosphorus with acid soil,to guarantee the phosphorus supply in tree growth process.

Nitrogen application and intercropping change microbial community diversity and physicochemical characteristics in mulberry and alfalfa rhizosphere soil

Intercropping of mulberry(Morus alba L.)and alfalfa(Medicago sativa L.)is a new forestry-grass compound model in China,which can provide high forage yields with high protein.Nitrogen application is one of the important factors determining the production and quality of this system.To elucidate the advantages of intercropping and nitrogen application,we analyzed the changes of physicochemical properties,enzyme activities,and microbial communities in the rhizosphere soil.We used principal components analysis(PCA)and redundancy discriminators analysis to clarify the relationships among treatments and between treatments and environmental factors,respectively.The results showed that nitrogen application significantly increased pH value,available nitrogen content,soil water content(SWC),and urea(URE)activity in rhizosphere soil of monoculture mulberry.In contrast,intercropping and intercropping+N significantly decreased pH and SWC in mulberry treatments.Nitrogen,intercropping and intercropping+N sharply reduced soil organic matter content and SWC in alfalfa treatments.Nitrogen,intercropping,and intercropping+N increased the values of McIntosh diversity(U),Simpson diversity(D),and Shannon-Weaver diversity(H’)in mulberry treatments.However,PC A scatter plots showed clustering of monoculture mulberry with nitrogen(MNE)and intercropping mulberry without nitrogen(M0).Intercropping reduced both H’and D but nitrogen application showed no effect on diversity of microbial communities in alfalfa.There were obvious differences in using the six types of carbon sources between mulberry and alfalfa treatments.Nitrogen and intercropping increased the numbers of sole carbon substrate in mulberry treatments where the relative use rate exceeded 4%.While the numbers declined in alfalfa with nitrogen and intercropping.RDA indicated that URE was positive when intercropping mulberry was treated with nitrogen,but was negative in monoculture alfalfa treated with nitrogen.Soil pH and SWC were positive with mulberry treatments but were negative with alfalfa treatments.Intercropping with alfalfa benefited mulberry in the absence of nitrogen application.Intercropping with alfalfa and nitrogen application could improve the microbial community function and diversity in rhizosphere soil of mulberry.The microbial community in rhizosphere soil of mulberry and alfalfa is strategically complementary in terms of using carbon sources.

COMPLEX NUMBER MODE APPROACH FOR REDUCING VIBRATION OF STRUCTURAL FLEXIBLE REDUNDANT ROBOT MANIPULATORS

A complex number mode analysis approach is proposed for vibration reducing of structural flexible redundant manipulators by utilizing self motion. In the proposed approach, the self motion is evaluated to nullify the modal exciting force of flexural motion, and the approach can be freely used when the degree of freedom of flexural motion is much greater than the available degree of reundancy. The availability and effectiveness of the proposed approach are demonstrated through numerical simulation with a four link spatial robotic manipulator possessing an end flexible link.

Studying beta diversity: ecological variation partitioning by multiple regression and canonical analysis

Aims Beta diversity is the variation in species composition among sites in a geographic region.Beta diversity is a key concept for understanding the functioning of ecosystems,for the conservation of biodiversity and for ecosystem management.The present report describes how to analyse beta diversity from community composition and associated environmental and spatial data tables.Methods Beta diversity can be studied by computing diversity indices for each site and testing hypotheses about the factors that may explain the variation among sites.Alternatively,one can carry out a direct analysis of the community composition data table over the study sites,as a function of sets of environmental and spatial variables.These analyses are carried out by the statistical method of partitioning the variation of the diversity indices or the community composition data table with respect to environmental and spatial variables.Variation partitioning is briefly described herein.Important findings Variation partitioning is a method of choice for the interpretation of beta diversity using tables of environmental and spatial variables.Beta diversity is an interesting‘currency’for ecologists to compare either different sampling areas or different ecological communities cooccurring in an area.Partitioning must be based upon unbiased estimates of the variation of the community composition data table that is explained by the various tables of explanatory variables.The adjusted coefficient of determination provides such an unbiased estimate in both multiple regression and canonical redundancy analysis.After partitioning,one can test the significance of the fractions of interest and plot maps of the fitted values corresponding to these fractions.

A multiscale analysis of herbaceous species richness in a Mediterranean ecosystem

Aims studies of species distribution patterns traditionally have been conducted at a single scale,often overlooking species-environment relationships operating at finer or coarser scales.Testing diversity-related hypotheses at multiple scales requires a robust sampling design that is nested across scales.our chief motivation in this study was to quantify the contributions of different predictors of herbaceous species richness at a range of local scales.Methods Here,we develop a hierarchically nested sampling design that is balanced across scales,in order to study the role of several envi-ronmental factors in determining herbaceous species distribution at various scales simultaneously.We focus on the impact of woody vegetation,a relatively unexplored factor,as well as that of soil and topography.light detection and ranging(liDAR)imaging enabled precise characterization of the 3D structure of the woody vegetation,while acoustic spectrophotometry allowed a particularly high-resolution mapping of soil CaCo3 and organic matter contents.Important Findings We found that woody vegetation was the dominant explanatory variable at all three scales(10,100 and 1000 m2),accounting for more than 60%of the total explained variance.in addition,we found that the species richness-environment relationship was scale dependent.many studies that explicitly address the issue of scale do so by comparing local and regional scales.our results show that efforts to conserve plant communities should take into account scale dependence when analyzing species richness-environment relationships,even at much finer resolutions than local vs.regional.in addition,conserving heterogeneity in woody vegetation structure at multiple scales is a key to conserving diverse herbaceous communities.

Regional ecosystem services relationships and their potential driving factors in the Yellow River Basin,China

The Yellow River Basin(YRB)occupies an important position in China’s socioeconomic development and ecological conservation efforts.Understanding the spatiotemporal characteristics of the relationships among multiple ecosystem services(ESs)and their drivers is crucial for regional sustainable development and human-earth system coordination.This study simulated food production(FP),water yield(WY),net primary production(NPP),soil conservation(SC),and habitat quality(HQ)in the YRB from 2000 to 2020,and evaluated the spatial evolution and the relationship of ESs at the raster scale.Redundancy analysis was used to identify the impact of natural,socioeconomic,and landscape patterns on the relationship between ESs.The results demonstrated that the average HQ per unit area decreased by 18.10%,while SC,NPP,WY,and FP increased by 42.68%,47.63%,30.82%,and 67.10%,respectively,from 2000 to 2020.The relationship between ESs in the YRB was dominated by weak trade-offs and weak synergies at a temporal scale,with the trade-offs strengthened in the Upper Yellow River Basin(UYRB)and the Middle Yellow River Basin(MYRB),and synergies strengthened in the Lower Yellow River Basin(LYRB).At the spatial scale,the relationships between HQ and WY,HQ and SC,HQ and NPP,FP and SC,and FP and HQ were all dominated by trade-offs,while other ES pairs were mostly based on synergistic relationships.In the YRB,the relationships among ESs were mainly influenced by human disturbance,precipitation,and land-use and exploitation intensity.Specifically,the trade-offs among ESs in the UYRB were primarily affected by precipitation,and those in the MYRB and LYRB by human disturbance.The heterogeneity of the landscape could also effectively promote synergies among ESs.This study could provide insights into trade-offs and synergies among ESs and their driving forces and lay a foundation for ecological restoration and sustainable development of ESs in the YRB.

spatial and environmental determinants of plant species diversity in a temperate desert

Aims Deserts are one of the ecosystems most sensitive to global climate change.However,there are few studies examining how changing abiotic and biotic factors under climate change will affect plant species diversity in the temperate deserts of Asia.This study aimed to:(i)characterize species distributions and diversity patterns in an Asian temperate desert;and(ii)to quantify the effects of spatial and environment variables on plant species diversity.Methods We surveyed 61 sites to examine the relationship between plant species diversity and several spatial/environmental variables in the Gurbantunggut Desert.Spatial and environmental variables were used to predict plant species diversity in separate multiple regression and ordination models.Variation in species responses to spatial and environmental conditions was partitioned by combining these variables in a redundancy analysis(RDA)and by creating multivariate regression trees(MRT).Important Findings We found 92 plant species across the 61 sites.Elevation and geographic location were the dominant environmental factors underlying variation in site species richness.A RDA indicated that 93%of the variance in the species–environment relationships was explained by altitude,latitude,longitude,precipitation and slope position.Precipitation and topographic heterogeneity,through their effects on water availability,were more important than soil chemistry in determining the distribution of species.MRT analyses categorized communities into four groups based on latitude,soil pH and elevation,explaining 42.3%of the standardized species variance.Soil pH strongly influenced community composition within homogeneous geographic areas.Our findings suggest that precipitation and topographic heterogeneity,rather than edaphic heterogeneity,are more closely correlated to the number of species and their distributions in the temperate desert.

Methanogenic community dynamics in anaerobic co-digestion of fruit and vegetable waste and food waste

A lab-scale continuously-stirred tank reactor （CSTR）, used for anaerobic co-digestion of fruit and vegetable waste （FVW） and food waste （FW） at different mixture ratios, was operated for 178 days at the organic loading rate of 3 kg VS （volatile solids）/（m3.day）. The dynamics of the Archaeal community and the correlations between environmental variables and methanogenic community structure were analyzed by polymerase chain reactions - denaturing gradient gel electrophoresis （PCR-DGGE） and redundancy analysis （RDA）, respectively. PCR-DGGE results demonstrated that the mixture ratio of FVW to FW altered the community composition of Archaea. As the FVW]FW ratio increased, Methanoculleus, Methanosaeta and Methanosarcina became the predominant methanogens in the community. Redundancy analysis results indicated that the shift of the methanogenic community was significantly correlated with the composition of acidogenic products and methane production yield. Different mixture ratios of substrates led to different compositions of intermediate metabolites, which may affect the methanogenic community. These results suggested that the analysis of microbial communities could be used to diagnose anaerobic processes.

Temporal variation of heavy metal pollution in urban stormwater runoff

Stormwater runoff from three types of urban surfaces, a parking lot, a street, and a building roof, was monitored during four rainfall events that occurred in the one-year period from June 2009 to June 2010. The event mean concentrations （EMC） of dissolved copper （Cu）, lead （Pb）, zinc （Zn）, manganese （Mn）, and iron （Fe） exceeded China＇s National Water Quality Standards for Surface Water. The degree of heavy metal contamination was related to the type of underlying surfaces. Additionally, the concentration of dissolved heavy metals peaked shortly after the runoff began and then declined sharply as a result of adequate flushing. First flush effects of varying degrees were also observed during all of the monitored rainfall events based on the first flush ratio （FF25）. Redundancy analysis revealed that four environmental variables （rain- fall depth, intensity, antecedent dry weather period and type of underlying surface） had significant effects on the strengths of the first flush effects, accounting for 72.9% of the variation in the FF25. Dissolved metals presented varying first flush effects on different underlying surfaces that occurred in the following relative order： parking lot 〉 roof〉 road for low intensity and high runoff volume rainfall events; parking lot 〉 road 〉 roof for high intensity and low runoff volume events. The relative strength of the first flush for dissolved heavy metals was Fe, Mn 〉 Cu, Zn 〉 Pb.