Disturbance Frequency and Community Stability in Native Tallgrass Prairie

Ecological communities are spatially and temporally variable in response to a variety of biotic and abiotic forces. It is not always clear, however, if spatial and temporal variability leads to instability in communities. Instability may result from strong biotic interactions or from stochastic processes acting on small populations. I used 10-15 yr of annual data from the Konza Prairie Long-Term Ecological Research site to examine whether plant, breeding bird, grasshopper, and small mammal communities in tallgrass prairie exhibit stability or directional change in response to different experimentally induced fire frequencies. Based on ordination and ANOVA, plant and grasshopper communities on annually burned sites differed significantly from plant and grasshopper communities on less frequently burned sites. Breeding birds and small mammals differed among sites as well, but these differences were not clearly related to disturbance frequency. A modified time series analysis indicated that plant communities were undergoing directional change (unstable) on all watersheds, regardless of fire frequency. Contrary to expectations, directional change was greatest on the annually burned sites and lowest on the infrequently burned sites. Unlike the plant communities, breeding bird, grasshopper, and small mammal communities were temporally stable, despite high-compositional variability from 1 yr to the next. Stability among the consumer communities within these dynamic plant communities occurs because three-dimensional vegetation structure does not change over time, despite changes in plant species composition. Evidence suggests that instability in the plant community results from strong biotic interactions among temporally persistent core species and stochastic dynamics among infrequent satellite species. Overall, community stability cannot be assessed if the pattern of temporal dynamics is unknown. Long-term empirical studies of different taxa under different disturbance regimes are needed to determine over what time frames and spatial scales communities may be stable. Such studies are essential for the development of generalities regarding the relationship between disturbance frequency and community stability in terrestrial and aquatic systems.     

Changes in Soil Bacterial Community Structure with Increasing Disturbance Frequency

Little is known of the responsiveness of soil bacterial community structure to disturbance. In this study, we subjected a soil microcosm to physical disturbance, sterilizing 90 % of the soil volume each time, at a range of frequencies. We analysed the bacterial community structure using 454 pyrosequencing of the 16S rRNA gene. Bacterial diversity was found to decline with the increasing disturbance frequencies. Total bacterial abundance was, however, higher at intermediate and high disturbance frequencies, compared to low and no-disturbance treatments. Changing disturbance frequency also led to changes in community composition, with changes in overall species composition and some groups becoming abundant at the expense of others. Some phylogenetic groups were found to be relatively more disturbance-sensitive or tolerant than others. With increasing disturbance frequency, phylogenetic species variability (an index of community composition) itself became more variable from one sample to another, suggesting a greater role of chance in community composition. Compared to the tightly clustered community of the original undisturbed soil, in all the aged disturbed soils the lists of most abundant operational taxonomic units (OTUs) in each replicate were very different, suggesting a possible role of stochasticity in resource colonization and exploitation in the aged and disturbed soils. For example, colonization may be affected by whichever localized concentrations of bacterial populations happen to survive the last disturbance and be reincorporated in abundance into each pot. Overall, it appears that the soil bacterial community is very sensitive to physical disturbance, losing diversity, and that certain groups have identifiable ‘high disturbance’ vs. ‘low disturbance’ niches.     

风沙干扰在濒危植物沙生柽柳群落形成演变过程中的作用

风沙干扰影响沙生柽柳(Tamarix taklamakanensis M.T.Liu)群落形成、发展和衰亡的全过程。经8年的调查、试验和探索后认为,沙生柽柳群落形成于低湿风蚀洼地,发展于沙埋地,死亡于风蚀地和重度沙埋地。在群落形成初期,风蚀形成的洼地为沙生柽柳种子发芽生根创造了适宜的生境,但高矿化度水胁迫使得沙生柽柳幼苗保存率较低;在群落发展期,沙埋促使沙生柽柳灌丛茁壮生长;在群落衰落期,风蚀或沙埋导致沙生柽柳灌从消亡。即在沙生柽柳群落的形成发展过程中,风沙干扰具有促进作用;而在沙生柽柳群落的衰落过程中,风沙干扰则具有加速衰亡的作用。此外,结合沙生柽柳生境分析认为,在高干扰和高胁迫情况下,荒漠地区耐胁迫的沙丘先锋植物仍可以生存,这一结果是对CSR对策的补充。     

Determinants of Land Degradation and Fragmentation in Semiarid Vegetation at Landscape Scale

The objective of this paper was to investigate the sensitivity to degradation of semiarid plant communities in terms of plant cover and fragmentation, quantifying relationships between landscape characteristic (physical, socio-economical and historical) and vegetation degradation. The degradation of vegetation was measured as the degree of coverage of the two dominant vegetation types (i.e. tall arid brush and tall grass steppe), while fragmentation was measured as patch size and isolation. Data were obtained using GIS tools, and analyzed by logistic regression and linear multivariate regression. Results showed denser coverage at more elevated, gradual slopes that were not sea-oriented. Historical elements of the landscape had a significant effect on current natural vegetation. According to the fragmentation patterns, the vegetation is in fairly good condition (medium coverage had the largest patches but dense coverage was less isolated) but attention must be given to preserve vegetation, due to the relationships between fragmentation and human activities. Moreover, the protection plan under way in the area appeared to favour denser vegetation cover, while human activities had a measurable effect on vegetation degradation.     

Analysis of Microbial Community during Biofilm Development in an Anaerobic Wastewater Treatment Reactor

The formation, structure, and biodiversity of a multispecies anaerobic biofilm inside an Upflow Anaerobic Sludge Bed (UASB) reactor fed with brewery wastewater was examined using complementary microbial ecology methods such us fluorescence in situ hybridization (FISH), denaturing gradient gel electrophoresis (DGGE), and cloning. The biofilm development can be roughly divided into three stages: an initial attachment phase (0-36 h) characterized by random adhesion of the cells to the surface; a consolidation phase (from 36 h to 2 weeks) defined by the appearance of microcolonies; and maturation phase (from 2 weeks to 2 months). During the consolidation period, proteobacteria with broad metabolic capabilities, mainly represented by members of alpha-Proteobacteria class (Oleomonas, Azospirillum), predominated. Beta-, gamma-, delta- (both syntrophobacteria and sulfate-reducing bacteria) and epsilon- (Arcobacter sp.) Proteobacteria were also noticeable. Archaea first appeared during the consolidation period. A Methanospirillum-like methanogen was detected after 36 h, and this was followed by the detection of Methanosarcina, after 4 days of biofilm development. The mature biofilm displayed a hill and valley topography with cells embedded in a matrix of exopolymers where the spatial distribution of the microorganisms became well-established. Compared to the earlier phases, the biodiversity had greatly increased. Although alpha-Proteobacteria remained as predominant, members of the phyla Firmicutes, Bacteroidete, and Thermotogae were also detected. Within the domain Archaea, the acetoclastic methanogen Methanosaeta concilii become dominant. This study provides insights on the trophic web and the shifts in population during biofilm development in an UASB reactor.     

Response of Estuarine Biofilm Microbial Community Development to Changes in Dissolved Oxygen and Nutrient Concentrations

The information content and responsiveness of microbial biofilm community structure, as an integrative indicator of water quality, was assessed against short-term changes in oxygen and nutrient loading in an open-water estuarine setting. Biofilms were grown for 7-day periods on artificial substrates in the Pensacola Bay estuary, Florida, in the vicinity of a wastewater treatment plant (WWTP) outfall and a nearby reference site. Substrates were deployed floating at the surface and near the benthos in 5.4 m of water. Three sampling events covered a 1-month period coincident with declining seasonal WWTP flow and increasing dissolved oxygen (DO) levels in the bottom waters. Biomass accumulation in benthic biofilms appeared to be controlled by oxygen rather than nutrients. The overriding effect of DO was also seen in DNA fingerprints of community structure by terminal restriction fragment length polymorphism (T-RFLP) of amplified 16S rRNA genes. Ribotype diversity in benthic biofilms at both sites dramatically increased during the transition from hypoxic to normoxic. Terminal restriction fragment length polymorphism patterns showed pronounced differences between benthic and surface biofilm communities from the same site in terms of signal type, strength, and diversity, but minor differences between sites. Sequencing of 16S rRNA gene clone libraries from benthic biofilms at the WWTP site suggested that low DO levels favored sulfate-reducing prokaryotes (SRP), which decreased with rising oxygen levels and increasing overall diversity. A 91-bp ribotype in the CfoI-restricted 16S rRNA gene T-RFLP profiles, indicative of SRP, tracked the decrease in relative SRP abundance over time.     

Stability and Change in Estuarine Biofilm Bacterial Community Diversity

Biofouling communities contribute significantly to aquatic ecosystem productivity and biogeochemical cycling. Our knowledge of the distribution, composition, and activities of these microbially dominated communities is limited compared to other components of estuarine ecosystems. This study investigated the temporal stability and change of the dominant phylogenetic groups of the domain Bacteria in estuarine biofilm communities. Glass slides were deployed monthly over 1 year for 7-day incubations during peak tidal periods in East Sabine Bay, Fla. Community profiling was achieved by using 16S rRNA genes and terminal restriction fragment length polymorphism (T-RFLP) of 16S rRNA genes in combination with ribotyping, cloning, and sequencing to evaluate diversity and to identify dominant microorganisms. Bacterial community profiles from biofilms grown near the benthos showed distinct periods of constancy within winter and summer sampling periods. Similar periods of stability were also seen in T-RFLP patterns from floating biofilms. Alternating dominance of phylogenetic groups between seasons appeared to be associated with seasonal changes in temperature, nutrient availability, and light. The community structure appeared to be stable during these periods despite changes in salinity and in dissolved oxygen.     

Three Stages of a Biofilm Community Developing at the Liquid-Liquid Interface between Polychlorinated Biphenyls and Water

Soil contaminated with polychlorinated biphenyls (PCB) was used as an inoculum to grow a complex biofilm community on PCB oil (Aroclor 1242) on a substratum (Permanox). The biofilm was monitored for 31 days by confocal laser scanning microscopy, community fingerprinting using single-strand conformational polymorphism (SSCP), amplicons of the 16S rRNA genes, and chemical analyses of the PCB congeners. SSCP analysis of the young biofilm revealed a rather diverse microbial community with species of the genera Herbaspirillum and Bradyrhizobium as dominant members. The biofilm developing on the PCB droplets displayed pronounced stages of PCB degradation and biofilm development not described before from pure-culture experiments. The first step was the colonization of the substratum while the PCB oil was hardly populated. When a certain density of bacteria was reached on the Permanox, the PCB was colonized, but soon the degradation of the congeners was markedly reduced and many cells were damaged, as seen by LIVE/DEAD staining. Finally, the biofilm formed aggregates and invaded the PCB oil, showing lower numbers of damaged cells than before and a dramatic increase in PCB degradation. This sequence of biofilm formation is understood as a maturation process prior to PCB oil colonization. This is followed by a thin biofilm on the PCB droplet, an aggregation process forming pockets in the PCB, and finally an invasion of the biofilm into the PCB oil. Only the mature biofilm showed degradation of pentachlorinated PCB congeners, which may be reductively dechlorinated and the resulting trichlorobiphenyls then aerobically metabolized.     

Electrical Energy Changes Conductivity and Determines Optimal Electrotransformation Frequency in Gram-Negative Bacteria

In many bacterial electrotransformation protocols, pulse time is related to the time constant for a capacitor discharging across a sample of fixed resistance. Using an electroporator which controls pulse time independently of the capacitor time constant, we found that the resistance of bacterial suspensions fluctuates widely during capacitor discharge. With three gram-negative species of bacteria, electrotransformation frequency and survival could be more simply related to the electrical energy delivered in each pulse than to component parameters, such as initial field strength, capacitance, and pulse time. In each case, the number of transformants per survivor increased exponentially and leveled off when more than 0.5 to 1.0 J of electrical energy was delivered. An inverse log-linear relationship between survival and energy delivered was also observed for all three species.     

Comparing Neutral and Trade-off Community Models in Shaping the Community Biomass-Diversity Relationship Under Different Disturbance Levels

Among numerous mechanisms shaping the unimodal relationship between diversity and community biomass, the trade-off model of “CRS” theory is the most famous one. However, recent researches indicate that this relationship may also emerge under the neutral model where all species are identical with each other. By using an individual-based spatially-explicit model, we evaluated the underlying mechanisms shaping this curve for both models under different disturbance levels. We found unimodal relationships emerged for both models at low and medium disturbance levels; the richness for the trade-off community was lower than the neutral community for most of the environment severity levels, especially at the benign environment due to the strong competitive exclusions among species. Whereas under high disturbance level, the positive relationships emerged for both models; both communities had similar richness with their curves nearly overlapped with each other, that is, because the high disturbance intensity strongly decreased the competitive exclusions within the trade-off community. Our results indicate that although the underlying mechanisms are totally different, both models will produce the similar relationship between diversity and community biomass under different disturbance levels.     

Influence of an Oyster Reef on Development of the Microbial Heterotrophic Community of an Estuarine Biofilm

We characterized microbial biofilm communities developed over two very closely located but distinct benthic habitats in the Pensacola Bay estuary using two complementary cultivation-independent molecular techniques. Biofilms were grown for 7 days on glass slides held in racks 10 to 15 cm over an oyster reef and an adjacent muddy sand bottom. Total biomass and optical densities of dried biofilms showed dramatic differences for oyster reef versus non-oyster reef biofilms. This study assessed whether the observed spatial variation was reflected in the heterotrophic prokaryotic species composition. Genomic biofilm DNA from both locations was isolated and served as a template to amplify 16S rRNA genes with universal eubacterial primers. Fluorescently labeled PCR products were analyzed by terminal restriction fragment length polymorphism, creating a genetic fingerprint of the composition of the microbial communities. Unlabeled PCR products were cloned in order to construct a clone library of 16S rRNA genes. Amplified ribosomal DNA restriction analysis was used to screen and define ribotypes. Partial sequences from unique ribotypes were compared with existing database entries to identify species and to construct phylogenetic trees representative of community structures. A pronounced difference in species richness and evenness was observed at the two sites. The biofilm community structure from the oyster reef setting had greater evenness and species richness than the one from the muddy sand bottom. The vast majority of the bacteria in the oyster reef biofilm were related to members of the γ- and δ-subdivisions of Proteobacteria, the Cytophaga-Flavobacterium -Bacteroides cluster, and the phyla Planctomyces and Holophaga-Acidobacterium. The same groups were also present in the biofilm harvested at the muddy sand bottom, with the difference that nearly half of the community consisted of representatives of the Planctomyces phylum. Total species richness was estimated to be 417 for the oyster reef and 60 for the muddy sand bottom, with 10.5% of the total unique species identified being shared between habitats. The results suggest dramatic differences in habitat-specific microbial diversity that have implications for overall microbial diversity within estuaries.     

Contagious Disturbance, Ecological Memory, and the Emergence of Landscape Pattern

Landscapes are strongly shaped by the degree of interaction between pattern and process. This paper examines how ecological memory, the degree to which an ecological process is shaped by its past modifications of a landscape, influences landscape dynamics. I use a simulation model to examine how ecological memory shapes the landscape dynamics produced by the interaction of vegetative regrowth and fire. The model illustrated that increased ecological memory increased the strength and spatial extent of landscape pattern. The extent of these changes depended upon the relative rates of vegetative recovery and fire initiation. When ecological memory is strong, landscape pattern is persistent; pattern tends to be maintained rather than destroyed by fire. The generality of the simulation model suggests that these results may also apply to disturbance processes other than fire. The existence of ecological memory in ecosystems may allow processes to produce ecological pattern that can entrain other ecosystem variables. The methods presented in this paper to analyze pattern in model ecosystems could be used to detect such pattern in actual ecosystems. Received 14 November 2000; accepted 21 September 2001.     

Spatial Analysis of Anthropogenic Landscape Disturbance and Buruli Ulcer Disease in Benin

Background

Land use and land cover (LULC) change is one anthropogenic disturbance linked to infectious disease emergence. Current research has focused largely on wildlife and vector-borne zoonotic diseases, neglecting to investigate landscape disturbance and environmental bacterial infections. One example is Buruli ulcer (BU) disease, a necrotizing skin disease caused by the environmental pathogen Mycobacterium ulcerans (MU). Empirical and anecdotal observations have linked BU incidence to landscape disturbance, but potential relationships have not been quantified as they relate to land cover configurations.

Methodology/Principal Findings

A landscape ecological approach utilizing Bayesian hierarchical models with spatial random effects was used to test study hypotheses that land cover configurations indicative of anthropogenic disturbance were related to Buruli ulcer (BU) disease in southern Benin, and that a spatial structure existed for drivers of BU case distribution in the region. A final objective was to generate a continuous, risk map across the study region. Results suggested that villages surrounded by naturally shaped, or undisturbed rather than disturbed, wetland patches at a distance within 1200m were at a higher risk for BU, and study outcomes supported the hypothesis that a spatial structure exists for the drivers behind BU risk in the region. The risk surface corresponded to known BU endemicity in Benin and identified moderate risk areas within the boundary of Togo.

Conclusions/Significance

This study was a first attempt to link land cover configurations representative of anthropogenic disturbances to BU prevalence. Study results identified several significant variables, including the presence of natural wetland areas, warranting future investigations into these factors at additional spatial and temporal scales. A major contribution of this study included the incorporation of a spatial modeling component that predicted BU rates to new locations without strong knowledge of environmental factors contributing to disease distribution.     

Receding Water Line and Interspecific Competition Determines Plant Community Composition and Diversity in Wetlands in Beijing

Climate and human-induced wetland degradation has accelerated in recent years, not only resulting in reduced ecosystem services but also greatly affecting the composition and diversity of wetland plant communities. To date, the knowledge of the differences in community parameters and their successional trends in degraded wetlands remains scarce. Here based on remote sensing images, geographic information system technology, and statistical methods, we produced a successional gradient map of the Yeyahu Wetland Nature Reserve in Beijing, which has experienced a steady decline in water level in recent decades. In addition, we analyzed community composition and diversity along with each identified gradient. The results showed that community diversity decreases while dominance increases with the progress of succession, with the highest diversity occurring during the early stage of succession. Moreover, the community demonstrates greater similarity among subareas during later successional stages, and the similarity coefficients calculated from the important value (IV) of each species are more accurate. Correlation analysis showed that the impact of soil factors on diversity was not significant at a subarea scale, although these nutrients showed an increasing trend with the community succession. Furthermore, the IVs of the dominant species had a particularly significant impact on diversity, showing a significantly negative correlation with diversity indices and a significantly positive correlation with dominance indices. Further analysis showed that the retreat of water level resulted from sustained drought and local human activities was a major extrinsic driving force resulting in observed differences in the community successional stages, which resulted in differences in community composition and diversity. On the other hand, interspecific competition was the main intrinsic mechanism, which significantly influenced the IVs of the dominant species and community diversity. The results of this study could aid in improving the understanding of community composition, diversity, and its successional trends in degraded wetlands.     

Interaction of Nutrient Limitation and Protozoan Grazing Determines the Phenotypic Structure of a Bacterial Community

We examined the impact of nutrient conditions (carbon and phosphorus limitation) and grazing by protozoans on the phenotypic community structure of freshwater bacteria in continuous culture systems. Lakewater bacteria were grown on mineral medium, which was supplemented with glucose and amino acids and adjusted by different phosphorus concentrations to achieve either carbon or phosphorus limitation. Each nutrient treatment was inoculated with the same bacterial community and consisted of a nongrazing and a grazing treatment, to which the heterotrophic nanoflagellates Spumella sp. and Ochromonas sp. were added. We found that nutrient conditions alone resulted in differences in the phenotypic structure of the bacterial community: small and motile bacteria dominated under C limitation while large, elongated, and capsulated bacteria were characteristic for P limitation. The genotypic community composition as measured by T-RFLP (terminal restriction fragment length polymorphism) was not severely influenced by the two nutrient treatments. In the presence of flagellate predators, grazing-resistant bacteria developed under both nutrient conditions, but with different survival mechanisms: highly motile bacteria prevailed under C limitation, whereas the P-limited grazing treatment was dominated by filamentous forms. T-RFLP analysis revealed only moderate changes in bacterial community composition due to grazing, which were most pronounced under P limitation. Analysis by video microscopy revealed that high swimming speed is an efficient nonmorphological survival mechanism for bacteria to reduce the capture success of the flagellate predator. The rejection of optimal-sized, nonmotile bacteria under P limitation suggests the importance of other nonmorphological, surface-located cell properties. Our results illustrate that the realized mechanisms of grazing resistance are linked to the actual limitation conditions, and that the combined effects of nutrient limitation and grazing are major determinants of bacterial community structure.     

Characterization of the Microbial Community in a Partial Nitrifying Sequencing Batch Biofilm Reactor

A lab-scale partial nitrifying sequencing batch biofilm reactor was a successful start-up. Denaturing gradient gel electrophoresis (DGGE) was used to investigate the bacterial community dynamics in three periods together with inocula sludge at ambient temperature. The DGGE profiles of bacteria and Shannon–Wiener index (H′) results showed that high free ammonia (FA) concentration referred to lower diversity in the bioreactor system. Cluster analysis indicated that microorganism in period III was similar with inocula sludge and was different from that in periods I and II. Similar results also appeared in ammonia-oxidizing bacteria (AOB) community structure and nitrite-oxidizing bacteria (NOB) community structure, and at least four AOB species and two NOB species were present in period III, respectively. Phylogenetic analysis of amoA gene sequences showed that Nitrosomonas eutropha cluster was predominant in all the three periods. With lower ammonium loads, three new operational taxonomic units formed and consisted Nitrosomonas sp. Cluster. This article demonstrated that microbial community, AOB, and NOB diversity were related with FA concentration closely at ambient temperature.     

Comparing the Ecological Impacts of Wind and Oil & Gas Development: A Landscape Scale Assessment

Energy production in the United States is in transition as the demand for clean and domestic power increases. Wind energy offers the benefit of reduced emissions, yet, like oil and natural gas, it also contributes to energy sprawl. We used a diverse set of indicators to quantify the ecological impacts of oil, natural gas, and wind energy development in Colorado and Wyoming. Aerial imagery was supplemented with empirical data to estimate habitat loss, fragmentation, potential for wildlife mortality, susceptibility to invasion, biomass carbon lost, and water resources. To quantify these impacts we digitized the land-use footprint within 375 plots, stratified by energy type. We quantified the change in impacts per unit area and per unit energy produced, compared wind energy to oil and gas, and compared landscapes with and without energy development. We found substantial differences in impacts between energy types for most indicators, although the magnitude and direction of the differences varied. Oil and gas generally resulted in greater impacts per unit area but fewer impacts per unit energy compared with wind. Biologically important and policy-relevant outcomes of this study include: 1) regardless of energy type, underlying land-use matters and development in already disturbed areas resulted in fewer total impacts; 2) the number and source of potential mortality varied between energy types, however, the lack of robust mortality data limits our ability to use this information to estimate and mitigate impacts; and 3) per unit energy produced, oil and gas extraction was less impactful on an annual basis but is likely to have a much larger cumulative footprint than wind energy over time. This rapid evaluation of landscape-scale energy development impacts could be replicated in other regions, and our specific findings can help meet the challenge of balancing land conservation with society’s demand for energy.     

Assessment of Soil Arsenic,Chromium, Mercury,and Lead at an Agricultural Landscape Scale

Knowledge of arsenic and heavy metal concentrations and distributions is essential in the design of environmental regulatory strategies. The present study was undertaken as a preliminary survey on soil contamination in a representative agricultural area of southwestern China. The objectives were: (1) to characterize the variability of As, Cr, Hg, and Pb; (2) to assess the effect of land use (vegetable land and paddy fields) on these elements; and (3) to identify their natural or artificial origins. Samples from 119 sites were collected and analyzed in 2006. Land use map units were delineated at a scale of 1:2000 from field survey. Analysis of variance, correlation analysis, factor analysis, and a geographic information system were adopted to investigate the spatial distributions and sources of the elements. The average concentrations of the elements were 6.26 mg As kg^?1, 52.90 mg Cr kg^?1, 0.066 mg Hg kg^?1, and 33.13 mg Pb kg^?1. Mean contents of Hg and Pb were markedly higher than their background levels indicating the risk of mercury and lead pollution (p < 0.05). Mean concentration of Pb was significantly higher in paddy fields than vegetable land (p < 0.05). The variability of Cr was associated with topography, while Hg was controlled by human activities and atmospheric deposition. The high heterogeneities of As and Pb were mainly ascribed to land use and the consequent agricultural management practices. The results of the study will assist planners and policymakers in developing effective policies to protect soils from long-term arsenic and heavy metal accumulation.     

Spatial/Temporal Variations and Source Apportionment of VOCs Monitored at Community Scale in an Urban Area

This study aimed to characterize spatial/temporal variations of ambient volatile organic compounds (VOCs) using a community-scale monitoring approach and identify the main sources of concern in Paterson, NJ, an urban area with mixed sources of VOCs. VOC samples were simultaneously collected from three local source-dominated (i.e., commercial, industrial, and mobile) sites in Paterson and one background site in Chester, NJ (located ∼58 km southwest of Paterson). Samples were collected using the EPA TO-15 method from midnight to midnight, one in every sixth day over one year. Among the 60 analyzed VOCs, ten VOCs (acetylene, benzene, dichloromethane, ethylbenzene, methyl ethyl ketone, styrene, toluene, m,p-xylene, o-xylene, and p-dichlorobenzene) were selected to examine their spatial/temporal variations. All of the 10 VOCs in Paterson were significantly higher than the background site (p<0.01). Ethylbenzene, m,p-xylene, o-xylene, and p-dichlorobenzene measured at the commercial site were significantly higher than the industrial/mobile sites (p<0.01). Seven VOCs (acetylene, benzene, dichloromethane, methyl ethyl ketone, styrene, toluene, and p-dichlorobenzene) were significantly different by season (p<0.05), that is, higher in cold seasons than in warm seasons. In addition, dichloromethane, methyl ethyl ketone, and toluene were significantly higher on weekdays than weekend days (p<0.05). These results are consistent with literature data, indicating the impact of anthropogenic VOC sources on air pollution in Paterson. Positive Matrix Factorization (PMF) analysis was applied for 24-hour integrated VOC measurements in Paterson over one year and identified six contributing factors, including motor vehicle exhausts (20%), solvents uses (19%), industrial emissions (16%), mobile+stationery sources (12%), small shop emissions (11%), and others (22%). Additional locational analysis confirmed the identified sources were well matched with point sources located upwind in Paterson. The study demonstrated the community-scale monitoring approach can capture spatial variation of VOCs in an urban community with mixed VOC sources. It also provided robust data to identify major sources of concern in the community.