The relationship between the bioavailability of dissolved organic matter (DOM) and its bulk chemical composition was examined on three dates at 10 sites on the Ogeechee River, a blackwater river in Georgia, Samples of riverine DOM were concentrated from filtered river water using reverse osmosis. In addition, particulate organic matter (POM), in the form of leaf litter, algae, and macrophytes, was leached with synthetic rainwater to obtain fresh DOM. Elemental composition, carboxylic acid content, and bacterial growth were measured on all samples. The results of this study indicate that fresh DOM in POM leachates is generally more bioavailable than riverine DOM. The bioavailability of riverine DOM appears to be greater under low discharge conditions and decreases with distance downstream. The bioavailability of all DOM samples is very well predicted (r2 = 0.93, II = 20) by an empirical equation of the form: bioavailability = a,, + a,(H: C) + a,(0 : C) + al(N : C). When compositional data arc plotted on a van Krevelen diagram, it is evident that POM leachates and, to a lesser degree, DOM from headwatcr sites have compositions that differ little from simple mixtures of major components of biomass (lipids, sugars, proteins, and lignins). Father downstream, major diagenetic alteration of organic matter is evident from the compositions of DOM samples, whose H : C and 0 : C ratios are lower and higher, respectively, than for any possible mixture of biomass components. Bioavailability of DOM is closely related to the pcrccntage of aliphatic carbon in a sample, and downstream decreases in bioavailability arc mainly attributable to selective degradation of aliphatic carbon in riverine DOM.Dissolved organic matter (DOM) is an essential component of microbial food webs in natural waters because it is a growth substrate for bacteria that are then consumed by higher trophic levels (Pomeroy 1974). Only a fraction of the DOM present in natural waters supports bacterial growth, and the bioavailability of DOM varies from <1 to >75% for different molecular weight fractions and in different environments (Table I). Because of the significance of DOM in microbial food webs and the great variation in its availability to bacteria, researchers have sought simple physical or chemical indicators of the bioavailability of DOM in natural waters. One approach has been to quantify specific biochemical compounds such as sugars and amino acids, whose concentrations may reflect the bioavailability of DOM. This approach is neither simple nor predictive of bioavailability of the entire DOM pool. Separating riverine DOM by molecular size using ultrafiltration showed that bacteria use DOM fractions in the order small > large > moderate (Meyer et al. 1987); yet high molecular weight oceanic DOM is more available than low (Amon and Benner 1994). Hence one cannot use the size distribution of DOM to predict reliably its bioavailability. A third approach is based on a bioassay of bacterial growth after resins are used to separate Acknowledgments...

Root exudation stimulates microbial decomposition and enhances nutrient availability to plants. It remains difficult to measure and predict this carbon flux in natural conditions, especially for mature woody plants. Based on a known conceptual framework of root functional traits coordination, we proposed that root functional traits may predict root exudation. We measured root exudation and other seven root morphological/chemical/physiological traits for 18 coexisting woody species in a deciduous-evergreen mixed forest in subtropical China. Root exudation, respiration, diameter and nitrogen (N) concentration all exhibited significant phylogenetic signals. We found that root exudation positively correlated with competitive traits (root respiration, N concentration) and negatively with a conservative trait (root tissue density). Furthermore, these relationships were independent of phylogenetic signals. A principal component analysis showed that root exudation and morphological traits loaded on two perpendicular axes. Root exudation is a competitive trait in a multidimensional fine-root functional coordination. The metabolic dimension on which root exudation loaded was relatively independent of the morphological dimension, indicating that increasing nutrient availability by root exudation might be a complementary strategy for plant nutrient acquisition. The positive relationship between root exudation and root respiration and N concentration is a promising approach for the future prediction of root exudation.

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Plants allocate a considerable amount of carbon (C) to fine roots as respiration and exudation. Fine-root exudation could stimulate microbial activity, which further contributes to soil heterotrophic respiration. Although both root respiration and exudation are important components of belowground C cycling, how they relate to each other is less well known. In this study, we aimed to explore this relationship on mature trees growing in the field. The measurements were performed on two canopy species, Quercus serrata Thunb. and Quercus glauca, in a warm temperate forest. The respiration and exudation rates of the same fine-root segment were measured in parallel with a syringe-basis incubation and a closed static chamber, respectively. We also measured root traits and ectomycorrhizal colonization ratio because these indexes commonly relate to root respiration and reflect root physiology. The microbial activity enhanced by root exudation was investigated by comparing the dissolved organic carbon (DOC) and microbial biomass carbon (MBC) between rhizosphere soils and bulk soils. Mean DOC concentration and MBC were ca two times higher in the rhizosphere soils and positively related to exudation rates, indicating that exudation further relates to the C dynamics in the soils. Flux rates of exudation and respiration were positively correlated with each other. Both root exudation and respiration rates positively related to ectomycorrhizal colonization and root tissue nitrogen, and therefore the relationship between the two fluxes may be attributed to fine-root activity. The flux rates of root respiration were 8.7 and 10.5 times as much as those of exudation on a root-length basis and a root-weight basis, respectively. In spite of the fact that flux rates of respiration and exudation varied enormously among the fine-root segments of the two Quercus species, exudation was in proportion to respiration. This result gives new insight into the fine-root C-allocation strategy and the belowground C dynamics.

Deployment quality and cost are two conflicting aspects in wireless sensor networks. Random deployment, where the monitored field is covered by randomly and uniformly deployed sensor nodes, is an appropriate approach for large-scale network applications. However, their successful applications depend considerably on the deployment quality that uses the minimum number of sensors to achieve a desired coverage. Currently, the number of sensors required to meet the desired coverage is based on asymptotic analysis, which cannot meet deployment quality due to coverage overestimation in real applications. In this paper, we first investigate the coverage overestimation and address the challenge of designing coverage-guaranteed deployment strategies. To overcome this problem, we propose two deployment strategies, namely, the Expected-area Coverage Deployment (ECD) and BOundary Assistant Deployment (BOAD). The deployment quality of the two strategies is analyzed mathematically. Under the analysis, a lower bound on the number of deployed sensor nodes is given to satisfy the desired deployment quality. We justify the correctness of our analysis through rigorous proof, and validate the effectiveness of the two strategies through extensive simulation experiments. The simulation results show that both strategies alleviate the coverage overestimation significantly. In addition, we also evaluate two proposed strategies in the context of target detection application. The comparison results demonstrate that if the target appears at the boundary of monitored region in a given random deployment, the average intrusion distance of BOAD is considerably shorter than that of ECD with the same desired deployment quality. In contrast, ECD has better performance in terms of the average intrusion distance when the invasion of intruder is from the inside of monitored region.

Sensing coverage is a fundamental problem in sensors networks. Different from traditional isotropic sensors with sensing disk, directional sensors may have a limited angle of sensing range due to special applications. In this paper, we study the coverage problem in directional sensor networks (DSNs) with the rotatable orientation for each sensor. We propose the optimal coverage in directional sensor networks (OCDSN) problem to cover maximal area while activating as few sensors as possible. Then we prove the OCDSN to be NP-complete and propose the Voronoi-based centralized approximation (VCA) algorithm and the Voronoi-based distributed approximation (VDA) algorithm of the solution to the OCDSN problem. Finally, extensive simulation is executed to demonstrate the performance of the proposed algorithms.