The role of water in the information exchange between the components of an ecosystem

Living organisms and ecosystems have been shown to be sensitive to very weak signals originating very far away. The dynamics governing these phenomena is discussed in the framework of Quantum Field Theory. This phenomenon gives an indication on the dynamics responsible for the exchange of information in ecosystems. The peculiar role of coherent water is stressed. It is shown that energy is able to travel in a coherent medium in form of solitons, without any losses.     

The dual nature of ecosystem dynamics

Mechanistic simulation modeling has not generally delivered on its promise to turn ecology into more of a “hard” science. Rather, it appears that deeper insights into ecosystem functioning may derive from a new set of metaphysical assumptions about how nature functions. Force laws from physics are fundamentally incompatible with the heterogeneity and uniqueness that characterizes ecosystems. Instead, coherence, selection and centripetality are imparted to ecological systems by concatenations of beneficial processes—a generalized form of autocatalysis. These structure-enhancing configurations of processes are opposed by the ineluctable tendency of structure to decay (as required by the second law of thermodynamics). The dual nature of this agonism can be quantified using information theory, which also can be used to measure the potential of the system for further evolution. The balance point for these countervailing tendencies seems to coincide with the state of maximal potential for the system to evolve. In an ostensible paradox, the same locus seems to attract stable, persistent system configurations.     

中国农田生态系统土壤碳库的饱和水平及其固碳潜力

在利用反硝化-分解(DNDC)模型估算中国分县农田土壤碳库及其变化量的基础上,分析中国分省农田土壤碳库的饱和水平,估算各省市自治区农田土壤的固碳潜力,比较旱田与水田固碳能力的差异。结果表明:笔者所得到的中国农田土壤碳库的饱和水平可代表在1990年的土地利用方式、耕作措施、施肥水平和气候条件不变的情况下农田土壤经过耕种后所能达到的碳含量的平衡值,为农田选择土地利用方式、耕作栽培措施和施肥方式以固定更多的碳素提供依据。在分布上,中国农田土壤碳库的饱和水平以华北地区较低,以华北地区为中心向外呈辐射状递增。在1990年的土地利用方式、耕作措施、施肥水平和气候条件不变的情况下,中国农田土壤的固碳潜力为-0.969 Pg。从单位面积的固碳潜力看,以西藏自治区最高,黑龙江省最低;从分布看,从南向北有逐渐递减的趋势。中国水田比旱田有更大的固碳能力。     

燕山典型流域两种造林树种生态系统碳储量及固碳潜力研究

选择燕山典型流域6个林龄序列的小叶杨（Populus simonii）和5个林龄序列的山杏（Prunus sibirica）主要造林树种为研究对象,利用时间替代空间样地测量法量化退牧还林后生物量碳储量、凋落物碳储量和土壤碳储量及生态系统碳储量的变化规律,同时以各组成碳库-林龄序列中的最大碳储量之和作为生态系统饱和碳储量,以未退牧的天然草地生态系统碳储量作为初始植被类型的碳储量,分析总结了退牧还林对生态系统碳储量和碳循环的影响。结果表明,退牧还林后生态系统的生物量碳储量、凋落物碳储量基本随退牧年限的增加而增加,土壤碳储量随退牧年限的增加呈现先减小后增加的趋势。在没有人为干扰的情况下,9、15、18、22及29 a生小叶杨林的生态系统碳储量分别为7147.45、7461.67、7509.895、8468.375及8247.85 g·m^-2,9、15、18、22及26 a生山杏林的生态系统碳储量分别为6695.44、6700.82、8011.86、8001.92及7981.92 g·m^-2;9、15、18、22、29及36 a生小叶杨林的生态系统固碳潜力分别为757.08、1071.3、1119.53、2078.01、1857.48及1312.21 g·m^-2,9、15、18、22及26 a生山杏林的生态系统固碳潜力分别为310.45、1621.49、1611.55、1591.55及757.08 g·m^-2。长期来看,研究区退牧还林对提高生态系统碳汇能力是可观的、积极的。研究结果对提高造林对碳汇影响的估测能力提供数据支持,也为政府参与国际全球气候变化的谈判提供一个很好的案例研究和科学根据。     

Long-term forest-floor litter dynamics in Canada's boreal forest: Comparison of two model formulations

Litter decomposition is a key component in ecosystem material cycling that determines (i) forest soil carbon (C) and nutrient content, (ii) release of carbon dioxide to the atmosphere, and (iii) generation and mass transfer of dissolved organic carbon from terrestrial to aquatic ecosystems. In this study, we provide simulations of long term forest-floor litter dynamics generated with both (i) an existing forest nutrient cycling and biomass growth model (ForNBM) with a single-pool formulation of forest-floor litter decomposition (Zhu et al., 2003. Ecol. Model. 169, 347-360), and (ii) a revised version of the model produced by substituting the single-pool formulation with a three-pool version of the formulation tested against data from litterbag experiments (FLDM; Zhang et al., 2010. Ecol. Model. 221, 1944-1953). This is done to determine the importance of subdividing the litter mass into categories of rates of decay (i.e., fast, slow, and very slow) on model accuracy. Forest-forest litter dynamics simulated with the two models are subsequently compared against field measurements collected at several northern jack pine (Pinus banksiana) stands along a southwest-northeast oriented transect (climate gradient) associated with the Boreal Forest Transect Case Study in northwest Canada. Initial comparison shows that the single-pool formulation underpredicts residual litter mass when forests are <65 years old, largely due to the improper treatment of the very slow decomposing litter component. This underprediction is resolved when the three-pool formulation is used. From a ecosystems-response point of view, the revised ForNBM (with the three-pool formulation) demonstrates that (i) forest-floor litter initially increases with forest growth and reaches a plateau once the forest matures; (ii) the forest floor stores more litter and C at the southern and warmer sites than at the northern sites; and (iii) in a similar climate regime, the forest floor stores more litter and C at productive than at nutrient-poor sites.     

丛枝菌根在草原生态系统碳固持中的重要作用

草地生态系统在全球碳循环中作用重大,而丛枝菌根广泛存在于草原生态系统中,对碳固持有着重要作用.目前菌根碳固持研究的特点表现为研究对象进一步扩大、丛枝菌根真菌(Arbuscular mycorrhizal fungi,简称AMF)的功能逐渐定性量化、研究转变为植物-微生物-土壤三维立体等,向大背景、多理论和模型化方向发展.总结丛枝菌根在草原碳固持中的作用机制,主要包括以下五个方面:1)丛枝菌根是生态系统的一个重要组成部分;2)AMF淀积了植物光合产物一定数量的碳,是土壤中一个不容忽视的碳库;3)AMF能促进土壤团聚体的形成,改善土壤结构,增加土壤碳固持;4)AMF产生的球囊霉素相关土壤蛋白是土壤中一个重要碳库;5)AMF提高了草原生态系统的初级生产力和物种多样性,间接增加了生物碳固持,巩固了土壤碳库的碳储存.由于AMF对于调控碳循环具有不可替代的作用,因此全球气候变化下AMF的碳固持潜力研究、草地生态系统中不同AMF的量和菌丝在土壤结构中的功能及菌丝网在生态系统碳固持中的作用必将成为重点热点研究.     

A metapopulation approach of the dynamics of arthropods from Mediterranean-type ecosystems

In this paper we developed a general stage-structured, Leslie-type model, suitable to simulate dynamics of soil arthropods under typical Mediterranean conditions. In order to explore arthropods’ life-history strategies in relation to enhanced spatial heterogeneity of the Mediterranean ecosystems, metapopulation characteristics were considered and different habitat quality regimes, in terms of dominant microclimatic conditions, were taken into account. Environmental stochasticity in temperature and humidity was incorporated into the model, and an elasticity analysis was conducted to quantify contribution of different life-history traits to metapopulation growth rate. The application of the model revealed well-known life-cycle characteristics of Mediterranean arthropods, such as seasonally fluctuating population sizes and skewing phenologies, a fact that confirms models’ reliability. Furthermore, the model seems able to elucidate controversial points of the animals’ life-cycle development, such as the long-term maintenance of populations in the field and the underlying mechanisms related to the adjustment to the specific features of the Mediterranean ecosystem. Subpopulations inhabiting various microsites display different dynamics and the interaction between these subpopulations, via dispersion, seems to be able to ensure stochastic equilibrium for the system. Dispersal appears to play a decisive role, allowing arthropods to conform to spatial severities and habitats fragmentation, rescuing individuals and recolonizing previously extinct habitats.     

The role of intraguild predation in the population dynamics of small pelagic fish

In this paper, we argue that understanding marine ecosystem functioning requires a thorough appreciation of the role of intraguild predation to system dynamics. The theoretical predictions of intraguild predation models might explain some of the community features observed in marine ecosystems such as low diversity in upwelling and productive systems and species alternation in response to moderate external forcing. Finally, we argue that an ecosystem approach to fisheries requires that the size–structure of fish populations should be taken into account and that it is extremely important to account for the predators of early stages (eggs and larvae) to gain a thorough understanding of the key interactions between species.     

Mathematical model and computer simulation of the population dynamics of zooplankton in lake and estuary ecosystems

A mathematical model is developed for the population dynamics and survival probabilities of zooplankton in lake and estuarine. Basic digital computer simulation methodology is used for systematic application of the mathematical model for analysis of the population dynamics of zooplankton. In the analysis of this theoretical modelling, attention is focused on the production and destruction processes of the animal. Both processes are assumed stationary. The birth (production) rate is constant and life-span distribution is independent of time. It is also assumed that the different zooplankton species are independent and share a common aquatic ecosystem, and what happens to one of them does not influence the fate of any other in this system.     

全氟化合物的生物富集效应研究进展

研究污染物的生物富集效应,对于预测污染物在生物体内的含量、建立环境标准以及评估污染物的生态风险具有重要的意义。结合近年来国内外报道的有关全氟化合物（PFCs）的生物浓缩因子（BCF）、生物富集因子（BAF）、生物放大因子（BMF）和营养级放大因子（TMF）等参数,对PFCs的生物富集效应及其影响因素进行了综述。研究结果表明,氟代碳原子数高于7的PFCs一般在生物体或食物链（网）上具有生物富集效应,而氟代碳原子数低于7的PFCs的生物富集效应较低。PFCs的理化性质（碳链长度、碳链末端基团类型和是否含有支链等）、生物的种类及其生理生化参数（体长、体重和性别等）和环境条件（生态系统的组成、水温和污染物含量等）等都影响PFCs在生物体内或食物链（网）上的富集。综观当前研究成果,PFCs在食物链（网）上生物放大效应研究主要集中于极地地区海洋食物网,应加强其他区域（特别是典型污染区域）、各种类型食物网（如淡水食物网和陆生食物网）上PFCs的生物富集效应及其影响因素研究,为全面评估PFCs的生态风险提供基础数据。     

Effects of different mobilities of leaf and woody litters on litter carbon dynamics in arid ecosystems in Western Australia

Afforestation of arid land is a promising countermeasure against global warming. We had previously found, through modeling and mass balance analyses of an arid land afforestation experimental project in Western Australia, that a significant amount of litter could have been physically removed from the floors of natural forests. In order to analyze litter carbon dynamics in depth, we investigated the actual mobility of litter in several natural forests in Sturt Meadows in an arid region of Western Australia, and estimated the difference between the removal rate of leaf and woody (twigs and branches) litter on the forest floor. Then we redeveloped a litter carbon dynamics model by incorporating physical removal of litter to show the different mobilities of leaf and woody litters. We also analyzed carbon balances and the effect of differential litter mobility on litter carbon dynamics. Except for twigs in one plot in a high density forest, 29–100% of leaf litter and 10–100% of woody litter was removed annually, demonstrating the physical removal of litter in these natural forests. The main cause of litter removal was wind, not flooding. Decreases in leaf and woody litters could be approximated as first order decay functions in most plots; first order decay or disappearance rate constants were then determined. Estimated disappearance rate constants of leaf and woody litter ranged from 0.19 to 11 and 0.11–12 year⁻¹, respectively; most of the constants ranged from 0.19 to 2.0 and 0.11–0.74 year⁻¹, respectively. Based on the disappearance rate constant, the mobility of woody litter was estimated to be roughly 20% that of leaf litter, confirming that climatic factors move leaves more easily than twigs. The improved model, which took into account the different mobilities of leaf and woody litters, showed that annual physical removal of litter reached 70–82% of the annual litter fall in Acacia aneura forests, and that roughly 40–60% of the existing litter was removed annually from all sites. Incorporating into the model the difference in mobilities of leaf and woody litters showed that the ratio of annual litter removal to annual litter fall increased about 10% points compared with the assumption of that both litter types had equal mobility.     

Restoration of ecosystems for biodiversity and carbon sequestration: Simulating growth dynamics of brigalow vegetation communities in Australia

Restoration of abandoned and degraded ecosystems through enhanced management of mature remnant patches and naturally regenerating (regrowth) forests is currently being used in the recovery of ecosystems for biodiversity protection and carbon sequestration. Knowledge of long-term dynamics of these ecosystems is often very limited. Vegetation models that examine long-term forest growth and succession of uneven aged, mixed-species forest ecosystems are integral to the planning and assessment of the recovery process of biodiversity values and biomass accumulation. This paper examined the use of the Ecosystem Dynamics Simulator (EDS) in projecting growth dynamics of mature remnant brigalow forest communities and recovery process of regrowth brigalow thickets. We used data from 188 long-term monitored plots of remnant and regrowth forests measured between 1963 and 2010. In this study the model was parameterised for 34 tree and shrub species and tested with independent long-term measurements. The model closely approximated actual development trajectories of mature forests and regrowth thickets but some inaccuracies in estimating regeneration through asexual reproduction and mortality were noted as reflected in stem density projections of remnant plots that had a mean of absolute relative bias of 46.2 (±12.4)%. Changes in species composition in remnant forests were projected with a 10% error. Basal area values observed in all remnant plots ranged from 6 to 29 m² ha⁻¹ and EDS projections between 1966 and 2005 (39 years) were 68.2 (±10.9)% of the observed basal area. Projected live aboveground biomass of remnant plots had a mean of 93.5 (±5.9) t ha⁻¹ compared to a mean of 91.3 (±8.0) t ha⁻¹ observed in the plots. In regrowth thicket, the model produced satisfactory projections of tree density (91%), basal area (89%), height (87%) and aboveground biomass (84%) compared to the observed attributes. Basal area and biomass accumulation in 45-year-old regrowth plots was approximately similar to that in remnant forests but recovery of woody understorey was very slow. The model projected that it would take 95 years for the regrowth to thin down to similar densities observed in original or remnant brigalow forests. These results indicated that EDS can produce relatively accurate projections of growth dynamics of brigalow regrowth forests necessary for informing restoration planning and projecting biomass accumulation.     

Predicting non-carcinogenic hazard quotients of heavy metals in pepper (Capsicum annum L.) utilizing electromagnetic waves

• There was significant absorption of heavy metals by the pepper in contaminated soils. • The target hazard quotient (THQ) indices followed the order of Pb>Zn>>Cd » Ni. • Relationships exist between contaminated plants and electromagnetic wave. • PCA and random search can select the main spectra and predict THQ for each element. Given the tendency of heavy metals to accumulate in soil and plants, the purpose of this study was to determine the contamination levels of Cd, Ni, Pb, and Zn on peppers (leaves and fruit) grown in contaminated soils in industrial centers. For this purpose, we measured the uptake of the four heavy metals by peppers grown in the heavy metal contaminated soils throughout the four growth stages: two-leaf, growth, flowering, and fruiting, and calculated various vegetation indices to evaluate the heavy metal contamination potentials. Electromagnetic waves were also applied for analyzing the responses of the target plants to various heavy metals. Based on the relevant spectral bands identified by principal component analysis (PCA) and random search methods, a regression method was then employed to determine the most optimal spectral bands for estimating the target hazard quotient (THQ). The THQ was found to be the highest in the plants contaminated by Pb (THQ= 62) and Zn (THQ= 5.07). The results of PCA and random search indicated that the spectra at the bands of b₅₇₀, b₆₅₀, and b₇₆₀ for Pb, b₄₀₀ and b₁₀₃₀ for Ni, b₄₀₀ and b₈₈₀ for Cd, and b₅₆₀, b₉₁₀, and b₁₀₅₀ for Zn were the most optimal spectra for assessing THQ. Therefore, in future studies, instead of examining the amount of heavy metals in plants by chemical analysis in the laboratory, the responses of the plants to the electromagnetic waves in the identified bands can be readily investigated in the field based on the established correlations.     

Modelling carbon and nitrogen dynamics in forest ecosystems of Central Russia under different climate change scenarios and forest management regimes

The individual-based stand-level model EFIMOD was used for large-scale simulations using standard data on forest inventories as model inputs. The model was verified for the case-study of field observations, and possible sources of uncertainties were analysed. The approach developed kept the ability for fine-tuning to account for spatial discontinuity in the simulated area. Several forest management regimes were simulated as well as forest wildfires and climate changes. The greatest carbon and nitrogen accumulations were observed for the regime without cuttings. It was shown that cuttings and wildfires strongly influence the processes of carbon and nitrogen accumulations in both soil and forest vegetation. Modelling also showed that the increase in annual average temperatures resulted in the partial relocation of carbon and nitrogen stocks from soil to plant biomass. However, forest management, particularly harvesting, has a greater effect on the dynamics of forest ecosystems than the prescribed climate change.     

Which forcing factors fit? Using ecosystem models to investigate the relative influence of fishing and changes in primary productivity on the dynamics of marine ecosystems

Fishing mortality and primary production (or proxy for) were used to drive the dynamics of fish assemblages in 9 trophodynamic models of contrasting marine ecosystems. Historical trends in abundance were reconstructed by fitting model predictions to observations from stock assessments and fisheries independent survey data. The model fitting exercise derives values for otherwise unknown parameters that specify the relative strength of trophic interactions and, in some instances, a time series anomaly for changes in primary production. We measured how much better or worse were model predictions when bottom-up forcing by primary production were added to top-down forcing by fishing. Searching for cross system patterns, the relative contribution of fishing and changes in primary production, mediated through trophic interactions, are evaluated for the ecosystems as a whole and for selected similar species in different ecosystems. The analysis provides a simple qualitative way to explain which forcing factors have most influence on modeled dynamics. Both fishing and primary production forcing were required to obtain the best model fits to data. Fishing effects more strongly influenced 6 of 9 of the ecosystems, but primary production was more often found to be the main factor influencing the selected pelagic and demersal fish stock trends. Examination of sensitivity to ecological and model parameters suggests that the results are the product of complex food-web interactions rather than simple deterministic responses of the models.     

The role of cysts on population dynamics of Scrippsiella spp. (Dinophyceae) in Onagawa Bay,northeast Japan

The seasonal behavior of both vegetative cells and cysts of dinophytes Scrippsiella spp., mostly S. trochoidea, which is the dominant group among dinoflagellate populations in Onagawa Bay on the northeastern coast of Honshu, Japan, was investigated between 1990 and 1992. The germination of the cysts after 8 d incubation under favorable laboratory conditions was examined using the extinction dilution method. Incessant germination occurred throughout the year, but the germination ratio (no. of germinable cysts/total cysts) varied seasonally with a marked fluctuation during summer when vegetative cells in the water column were abundant. Although such fluctuation largely reflects the variable flux of newly deposited immature cysts produced by the vegetative cells, the regulation of germination caused by a lowered saturation of dissolved oxygen (DO) under thermally stratified conditions was also suggested. During winter, while the cysts germinated in the laboratory, vegetative cells were not found in the water column. These facts suggest that germination in situ is regulated by low temperature in winter and possibly by lowered DO and by cyst age as well in summer. Such regulation prevents simultaneous germination of all the cysts, which is disadvantageous for the population because it would be more difficult to survive adverse conditions such as successive nutrient depletion and higher grazing risk.     

Genome-resolved metagenomic analysis reveals different functional potentials of multiple Candidatus Brocadia species in a full-scale swine wastewater treatment system

● Four Ca. Brocadia species were observed during the spontaneously enrichment. ● Novel anammox species SW510 and SW773 dominated the full-scale ecosystem. ● Urease and cyanase genes were detected in the new anammox genomes. ● Functional differentiation potentially facilitated co-occurrence of anammox species. The increasing application of anammox processes suggests their enormous potential for nitrogen removal in wastewater treatment facilities. However, the functional potentials and ecological differentiation of cooccurring anammox species in complex ecosystems have not been well elucidated. Herein, by utilizing functional reconstruction and comparative genome analysis, we deciphered the cooccurring mechanisms of four Candidatus Brocadia species that were spontaneously enriched in a full-scale swine wastewater treatment system. Phylogenetic analysis indicated that species SW172 and SW745 were closely related to Ca. Brocadia caroliniensis and Ca. Brocadia sapporoensis, respectively, whereas the dominant species SW510 and SW773, with a total average abundance of 34.1%, were classified as novel species of the genus Ca. Brocadia. Functional reconstruction revealed that the novel species SW510 can encode both cytochrome cd₁-type nitrite reductase and hydroxylamine oxidase for nitrite reduction. In contrast, the detected respiratory pentaheme cytochrome c nitrite reductase and acetate kinase genes suggested that SW773 likely reduced nitrite to ammonium with acetate as a carbon source. Intriguingly, the presence of genes encoding urease and cyanase indicated that both novel species can use diverse organic nitrogen compounds in addition to ammonia and nitrite as substrates. Taken together, the recovery and comparative analysis of these anammox genomes expand our understanding of the functional differentiation and cooccurrence of the genus Ca. Brocadia in wastewater treatment systems.     

The application of artificial neural networks to flow and phosphorus dynamics in small streams on the Boreal Plain,with emphasis on the role of wetlands

Historically, management strategies in Canada's boreal forest have focused on forest polygons and terrestrial biodiversity to address ecological considerations in forest management. The Forest Watershed and Riparian Disturbance (FORWARD) project examines the problem from a watershed perspective rather than a forest polygon viewpoint. The main objective of this study was to devise an artificial neural network (ANN) modeling tool that can predict flow and total phosphorus (TP) concentration for ungauged watersheds (where daily flow is not monitored). This dictates that all inputs should be easily accessed via a public domain database, like the Environment Canada weather database, without the need to install flow gauges in each modeled watershed. Daily flow and TP concentration for two of the project watersheds were modeled using ANNs. The two watersheds (1A Creek, 5.1 km² and Willow Creek, 15.6 km²) were chosen to reflect variations in wetland area and composition in the study area. Flow was modeled with a feed-forward multilayer perceptron ANN trained with the error back-propagation algorithm. Simulated values for flow were then used, as inputs, to model TP concentration using the same neural networks algorithm. One hidden layer with three slabs; each operating with a different activation function was utilized to simulate the conceptual differences between base flow, snowmelt, and storm events. Time domain analysis was conducted to identify possible model time-lagged inputs reflecting the time dependency of the modeled variables. Spectral analysis was used to address data hystereses. Our results highlight the capabilities of ANN in modeling complex ecosystems and highly correlated variables. Results also indicated that more research towards the phosphorus dynamics in wetlands is required to better represent the impact of wetland area and composition on the water-phase phosphorus in ANN modeling.