892 resultados para Spatial Variation


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The Southern Granulite Terrain in India is a collage of crustal blocks ranging in age from Archean to Neoproterozoic. This study investigate the tectonic evolution of one of the northernmost block- the Biligiri Block (BRB) through a multidisciplinary approach involving field investigation, petrographic studies, LA-ICPMS zircon U-Pb geochronology, Hf isotopic analyses, metamorphic P-T phase diagram computations, and crustal thickness modeling. The garnet bearing quartzofeldspathic gneiss from the central BRB preserve Mesoarchean magmatic zircons with ages between 3207 and 2806 Ma and positive epsilon Hf value (+2.7) which possibly indicates vestiges of a Mesoarchean primitive continental crust. The occurrence of quartzite-iron formation intercalation as well as ultramafic lenses along the western boundary of the BRB is interpreted to indicate that the Kollegal structural lineament is a possible paleo-suture. Phase diagram computation of a metagabbro from the southwestern periphery of the Kollegal suture zone reveals high-pressure (similar to 18.5 kbar) and medium-temperature (similar to 840 degrees C) metamorphism, likely during eastward subduction of the Western Dharwar oceanic crust beneath the Mesoarchean BRB. In the model presented here, slab subduction, melting and underplating processes generated arc magmatism and subsequent charnockitization within the BRB between ca. 2650 Ma and ca. 2498 Ma. These results thus reveal Meso- to Neoarchean tectonic evolution of the BRB. The spatial variation of crustal thickness, derived from flexure inversion technique, provides additional constraints on the tectonic linkage of the BRB with its surrounding terrains. In conjunction with published data, the Moyar and the Kollegal suture zones are considered to mark the trace of ocean closure along which the Nilgiri and Biligiri Rangan Blocks accreted on to the Western Dharwar Craton. (C) 2016 Elsevier B.V. All rights reserved.

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The assumption of constant rock properties in pressure-transient analysis of stress-sensitive reservoirs can cause significant errors in the estimation of temporal and spatial variation of pressure. In this article, the pressure transient response of the fractal medium in stress-sensitive reservoirs was studied by using the self-similarity solution method and the regular perturbation method. The dependence of permeability on pore pressure makes the flow equation strongly nonlinear. The nonlinearities associated with the governing equation become weaker by using the logarithm transformation. The perturbation solutions for a constant pressure production and a constant rate production of a linear-source well were obtained by using the self-similarity solution method and the regular perturbation method in an infinitely large system, and inquire into the changing rule of pressure when the fractal and deformation parameters change. The plots of typical pressure curves were given in a few cases, and the results can be applied to well test analysis.

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The Pearson instability was suggested to discuss the onset of Marangoni convection in a liquid layer of large Prandtl number under an applied temperature difference perpendicular to the free surface in the microgravity environment. In this case, the temperature distribution on the curved free surface is nonuniform, and the thermocapillary convection is induced and coupled with the Marangoni convection. In the present paper the effect of volume ratio of the liquid layer on the critical Marangoni convection and the corresponding spatial variation of the convection structure in zero-gravity condition were numerically investigated by two-dimensional model. (C) 2008 Elsevier Ltd. All rights reserved.

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Executive Summary: Tropical marine ecosystems in the Caribbean region are inextricably linked through the movement of pollutants, nutrients, diseases, and other stressors, which threaten to further degrade coral reef communities. The magnitude of change that is occurring within the region is considerable, and solutions will require investigating pros and cons of networks of marine protected areas (MPAs), cooperation of neighboring countries, improved understanding of how external stressors degrade local marine resources, and ameliorating those stressors. Connectivity can be broadly defined as the exchange of materials (e.g., nutrients and pollutants), organisms, and genes and can be divided into: 1) genetic or evolutionary connectivity that concerns the exchange of organisms and genes, 2) demographic connectivity, which is the exchange of individuals among local groups, and 3) oceanographic connectivity, which includes flow of materials and circulation patterns and variability that underpin much of all these exchanges. Presently, we understand little about connectivity at specific locations beyond model outputs, and yet we must manage MPAs with connectivity in mind. A key to successful MPA management is how to most effectively work with scientists to acquire the information managers need. Oceanography connectivity is poorly understood, and even less is known about the shape of the dispersal curve for most species. Dispersal kernels differ for various systems, species, and life histories and are likely highly variable in space and time. Furthermore, the implications of different dispersal kernels on population dynamics and management of species is unknown. However, small dispersal kernels are the norm - not the exception. Linking patterns of dispersal to management options is difficult given the present state of knowledge. The behavioral component of larval dispersal has a major impact on where larvae settle. Individual larval behavior and life history details are required to produce meaningful simulations of population connectivity. Biological inputs are critical determinants of dispersal outcomes beyond what can be gleaned from models of passive dispersal. There is considerable temporal and spatial variation to connectivity patterns. New models are increasingly being developed, but these must be validated to understand upstream-downstream neighborhoods, dispersal corridors, stepping stones, and source/sink dynamics. At present, models are mainly useful for providing generalities and generating hypotheses. Low-technology approaches such as drifter vials and oceanographic drogues are useful, affordable options for understanding local connectivity. The “silver bullet” approach to MPA design may not be possible for several reasons. Genetic connectivity studies reveal divergent population genetic structures despite similar larval life histories. Historical stochasticity in reproduction and/or recruitment likely has important, longlasting consequences on present day genetic structure. (PDF has 200 pages.)

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Data are presented on the spatial distribution and long-term temporal trends in the occurrence of neoplastic liver lesions of North Sea dab (Limanda limanda) in the period 1988 to 2001, obtained in the framework of the regular fish disease monitoring programme carried out by the German Federal Research Centre for Fishery. Highest prevalences consistently recorded in the first part of the period occurred in the German Bight, at the Dogger Bank and at sampling sites off Humber and Wash. In contrast, stations in the northern North Sea (e.g. in the Firth of Forth area) were always characterised by low prevalences. Particularly during the first years of observation, a clear and general decrease in prevalence could be observed, that was most pronounced in the hot spot areas German Bight and Dogger Bank compared to the Firth of Forth. Current data reveal that, due to the decrease, spatial differences between sampling sites are now much less obvious than at the beginning of the studies. Limited chemical data available suggest that the temporal decrease in prevalence of liver tumours and their precursor stages generally correspond with the decrease in organic contaminants in dab livers as well as in water and sediments. However, the spatial variation in prevalence recorded can not entirely be explained by contaminant levels. For instance, the prevalence was continuously low in the Firth of Forth area wheras the contaminant levels in dab were comparatively high. The opposite feature was observed at the Dogger Bank. Future studies will therefore address the role of other host- and site-specific factors potentially involved in the aetiology of the disease.

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A variação espacial das características bióticas e abióticas de um ambiente influencia na distribuição de médios mamíferos, sobre diferentes escalas. O Parque Estadual da Ilha Grande (PEIG) possui ambiente bastante heterogêneo e abriga uma mastofauna de médio porte ainda pouco estudada. O objetivo deste estudo é avaliar o efeito das variáveis físicas, do micro-habitat, da estrutura da vegetação e dos impactos antrópicos na comunidade e nas espécies de mamíferos de médio porte do PEIG. O registro das espécies foi por armadilhas fotográficas e as variáveis do ambiente mensuradas por diferentes métodos nas 49 estações de câmeras. Com os resultados desse estudo inferimos que a riqueza de nove espécies de mamíferos de médio porte nativos, corresponde a esperada para um ambiente insular. As espécies mais abundantes foram Dasyprocta leporina, Agouti paca, Dasypus novemcinctus e Didelphis aurita, a mais rara foi o Leopardus wiedii. A composição da mastofauna difere entre as vertentes norte e sul da Ilha Grande (ANOVA, p=0,01). O maior número de indivíduos foi registrado na vertente sul, onde há o efeito da variação da altitude, menor variação do micro-habitat e menor densidade da população humana. Contudo a estrutura da vegetação não difere entre as vertentes e não afeta as espécies mais abundantes. Essas espécies são sensíveis às variáveis físicas. Há impacto da densidade populacional nas vilas sobre a composição e abundância das espécies de médios mamíferos, apesar da caça não ter efeito nas áreas amostradas. Os mamíferos de médio porte são sensíveis às variáveis de maior escala e podem ter sua comunidade estruturada em função do impacto antrópico. A complexidade de habitat e o controle de habitantes no PEIG são importante para manter a comunidade de mamíferos de médio porte.

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Paired-tow calibration studies provide information on changes in survey catchability that may occur because of some necessary change in protocols (e.g., change in vessel or vessel gear) in a fish stock survey. This information is important to ensure the continuity of annual time-series of survey indices of stock size that provide the basis for fish stock assessments. There are several statistical models used to analyze the paired-catch data from calibration studies. Our main contributions are results from simulation experiments designed to measure the accuracy of statistical inferences derived from some of these models. Our results show that a model commonly used to analyze calibration data can provide unreliable statistical results when there is between-tow spatial variation in the stock densities at each paired-tow site. However, a generalized linear mixed-effects model gave very reliable results over a wide range of spatial variations in densities and we recommend it for the analysis of paired-tow survey calibration data. This conclusion also applies if there is between-tow variation in catchability.

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We evaluated habitat quality for juvenile California halibut (Paralichthys californicus) in a Pacific Coast estuary lacking in strong salinity gradients by examining density, recent otolith growth rates, and gut fullness levels of wild-caught and caged juveniles for one year. Juveniles <200 mm standard length were caught consistently in the inner, central, and outer sections of the estuary. The density of juveniles was two times higher in the inner estuary during most of the year, consistent with active habitat selection by part of the population. A generalized linear model indicated temperature, sampling time, and the interaction between salinity and temperature were significantly related to density. However, the model explained only 21% of the variance. Gut fullness levels of wild-caught juveniles were highest during the summer, but recent otolith growth rates were not related to temperature. The proportion of individuals feeding successfully indicated that seasonal differences in food availability are more important than spatial variation in prey abundance in driving feeding success. Feeding success of caged fishes was limited, precluding the use of growth rates as indicators of local habitat quality. However, marginal increment widths were reliable indicators of somatic growth at low growth rates over two-week periods. The relatively high growth rates and abundance of small wild-caught juveniles found throughout the estuary indicates that the entire estuary system has the potential for serving as nursery habitat.

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We measured growth and movements of individually marked free-ranging juvenile white shrimp (Litopenaeus setiferus) in tidal creek subsystems of the Duplin River, Sapelo Island, Georgia. Over a period of two years, 15,974 juvenile shrimp (40−80 mm TL) were marked internally with uniquely coded microwire tags and released in the shallow upper reaches of four salt marsh tidal creeks. Subsequent samples were taken every 3−6 days from channel segments arranged at 200-m intervals along transects extending from the upper to lower reach of each tidal creek. These collections included 201,384 juvenile shrimp, of which 184 were marked recaptures. Recaptured shrimp were at large an average of 3−4 weeks (range: 2−99 days) and were recovered a mean distance of <0.4 km from where they were initially marked. Mean residence times in the creek subsystems ranged from 15.2 to 25.5 days and were estimated from exponential decay functions describing the proportions of marked individuals recaptured with increasing days at large. Residence time was not significantly correlated with creek length (Pearson=−0.316, P=0.684 ), but there was suggestive evidence of positive associations with either intertidal (Pearson r=0.867, P=0.133) or subtidal (Pearson r=0.946, P=0.054) drainage area. Daily mean specific growth rates averaged 0.009 to 0.013 among creeks; mean absolute growth rates ranged from 0.56−0.84 mm/d, and were lower than those previously reported for juvenile penaeids in estuaries of the southeastern United States. Mean individual growth rates were not significantly different between years (t-test, P>0.30) but varied significantly during the season, tending to be greater in July than November. Growth rates were size-dependent, and temporal changes in size distributions rather than temporal variation in physical environmental factors may have accounted for seasonal differences in growth. Growth rates differed between creeks in 1999 (t-test, P<0.015), but not in 1998 (t-test, P>0.5). We suggest that spatial variation in landscape structure associated with access to intertidal resources may have accounted for this apparent interannual difference in growth response.

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The growth of red sea urchins (Strongylocentrotus franciscanus) was modeled by using tag-recapture data from northern California. Red sea urchins (n=211) ranging in test diameter from 7 to 131 mm were examined for changes in size over one year. We used the function Jt+1 = Jt + f(Jt) to model growth, in which Jt is the jaw size (mm) at tagging, and Jt+1 is the jaw size one year later. The function f(Jt), represents one of six deterministic models: logistic dose response, Gaussian, Tanaka, Ricker, Richards, and von Bertalanffy with 3, 3, 3, 2, 3, and 2 minimization parameters, respectively. We found that three measures of goodness of fi t ranked the models similarly, in the order given. The results from these six models indicate that red sea urchins are slow growing animals (mean of 7.2 ±1.3 years to enter the fishery). We show that poor model selection or data from a limited range of urchin sizes (or both) produces erroneous growth parameter estimates and years-to-fishery estimates. Individual variation in growth dominated spatial variation at shallow and deep sites (F=0.246, n=199, P=0.62). We summarize the six models using a composite growth curve of jaw size, J, as a function of time, t: J = A(B – e–Ct) + Dt, in which each model is distinguished by the constants A, B, C, and D. We suggest that this composite model has the flexibility of the other six models and could be broadly applied. Given the robustness of our results regarding the number of years to enter the fishery, this information could be incorporated into future fishery management plans for red sea urchins in northern California.

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Bycatch studies have largely ignored population level effects on fish species of little commercial interest. Here we analyze bycatch of the lined seahorse (Hippocampus erectus) in the bait-shrimp trawl fishery in Hernando Beach, Florida, providing the first fisheries data for this species. Based on catch per unit of effort (CPUE), size, sex, and reproductive status of trawled H. erectus, 1) approximately 72,000 seahorses were caught annually by this fleet, from a population of unknown size, 2) trawling affected population cohorts differentially because of temporal and spatial variation in CPUE and population size, and 3) a greater proportion of females than males was removed in trawling. Our findings suggest that trawling may affect seahorse populations through direct mortality, social disruption, and habitat damage. However, the lack of specific abundance or catchability estimates for H. erectus means that the precise impact of trawling on this fish remains uncertain. This paper focuses attention on the need for research and monitoring of small fishes that are caught incidentally in nonselective gear.

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The stomachs of 819 Atlantic bluefin tuna (Thunnus thynnus) sampled from 1988 to 1992 were analyzed to compare dietary differences among five feeding grounds on the New England continental shelf (Jeffreys Ledge, Stellwagen Bank, Cape Cod Bay, Great South Channel, and South of Martha’s Vineyard) where a majority of the U.S. Atlantic commercial catch occurs. Spatial variation in prey was expected to be a primary influence on bluefin tuna distribution during seasonal feeding migrations. Sand lance (Ammodytes spp.), Atlantic herring (Clupea harengus), Atlantic mackerel (Scomber scombrus), squid (Cephalopoda), and bluefish (Pomatomus saltatrix) were the top prey in terms of frequency of occurrence and percent prey weight for all areas combined. Prey composition was uncorrelated between study areas, with the exception of a significant association between Stellwagen Bank and Great South Channel, where sand lance and Atlantic herring occurred most frequently. Mean stomach-contents biomass varied significantly for all study areas, except for Great South Channel and Cape Cod Bay. Jeffreys Ledge had the highest mean stomach-contents biomass (2.0 kg) among the four Gulf of Maine areas and Cape Cod Bay had the lowest (0.4 kg). Diet at four of the five areas was dominated by one or two small pelagic prey and several other pelagic prey made minor contributions. In contrast, half of the prey species found in the Cape Cod Bay diet were demersal species, including the frequent occurrence of the sessile fig sponge (Suberites ficus). Prey size selection was consistent over a wide range of bluefin length. Age 2–4 sand lance and Atlantic herring and age 0–1 squid and Atlantic mackerel were common prey for all sizes of bluefin tuna. This is the first study to compare diet composition of western Atlantic bluefin tuna among discrete feeding grounds during their seasonal migration to the New England continental shelf and to evaluate predator-prey size relationships. Previous studies have not found a common occurrence of demersal species or a pre-dominance of Atlantic herring in the diet of bluefin tuna.

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Light traps and channel nets are fixed-position devices that involve active and passive sampling, respectively, in the collection of settlement-stage larvae of coral-reef fishes. We compared the abundance, taxonomic composition, and size of such larvae caught by each device deployed simultaneously near two sites that differed substantially in current velocity. Light traps were more selective taxonomically, and the two sampling devices differed significantly in the abundance but not size of taxa caught. Most importantly, light traps and channel nets differed greatly in their catch efficiency between sites: light traps were ineffective in collecting larvae at the relatively high-current site, and channel nets were less efficient in collecting larvae at the low-current site. Use of only one of these sampling methods would clearly result in biased and inaccurate estimates of the spatial variation in larval abundance among locations that differ in current velocity. When selecting a larval sampling device, one must consider not only how well a particular taxon may be represented, but also the environmental conditions under which the device will be deployed.

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本文对松嫩平原羊草地的群落结构及空间格局进行了分析,主要内容包含以下三个方面: 1、本文第一部分是对碱化草地植物群落分布的空间、环境因子分离。决定碱化草地植物物种在空间分布的因素可以大致分解成4个部分:(1)通过物种的生态位起作用的环境因子;(2)决定物种、群落间竞争激烈程度的空间距离因子;(3)环境和空间因子的交叉或耦合作用;(4)其它未知因子(如生物和随机因子)。本研究在1996年野外实地采样的基础上,运用DCA消势对应分析(Detrended Correspondence Analysis)对群落主要变化趋势及其与土壤环境因子之间的关系进行了分析。运用DCCA消势典范对应分析(Detrended Canonical Correspondence Analysis)对影响松嫩平原碱化草地群落结构季节动态的空间和环境因素进行了定量的分解。结果表明: 在影响群落分布的各因子中,环境因子独立约占40%,而环境一空间耦合因子占35%,空间因子独立约占3%,其它因子约占20%。在诸多因子中,土壤的盐渍化程度在整个生长季起着决定性作用,但土壤水分和氮素的作用因季节而变化。在干旱季节,植物生长的主要制约因子表现为土壤碱化度和土壤水份,而土壤氮素的作用处于次要地位。但在降雨较多、土壤湿润度较大的季节,土壤氮素的影响明显增强,成为仅次于土经度的决定性因素。 2、第二部分对东北松嫩平原碱化草地植物群落空间格局的分形性质进行了分析,分别用边长-面积指数和Korcak指数估计了斑块边界复杂性和斑块面积分布的分形维数。结果表明: 随放牧强度增加,占优势的羊草斑块的相对斑块化加剧,而斑块的边界在中度放牧时最不规则: 在水淹地,占优势的羊草斑块和次优势的碱茅斑块、獐茅斑块的斑块边界复杂性和斑块化程度比未水淹地都低,说明水降低了群落复合体内的异质性: 水淹地优势植物斑块的边长-面积指数和Korcak指数均低于次优势种,但在重度放牧地结果好相反,说明两种样地处于不同的演替阶段; 斑块边界复杂性符合同一尺度规律,在现有的面积范围以内没有尺度转换,而斑块面积分布则存在尺度转换点。对重牧地和水淹地的尺度分析表明,较小尺度上, 群落空间格局的相对斑块化程度较低,说明较小尺度上的空间格局要相对稳定一些,而较大尺度上则相反。可能原因是放牧干扰对大尺度的斑块影响更大。 3、对1989年开始围栏封育的样地10年来的空间格局变化进行时间序列分析,研究恢复演替过程中各个主要斑块类型的分布特征及动态,以及整个样地总体格局在演替系列中的变化。得出如下结果: 羊草是该区植被的优势种,其格局动态为:1989-1993年,羊草斑块总面积增加,斑块数目减少,相对斑块化指数降低,1994年后羊草的空间格局基本稳定。 羊草的斑块面积分布曲线在20平方米左右发生转折,即空间格局在此尺度发生尺度转换。不同尺度上斑块的相对斑块化指数及其在恢复演替中的变化趋势不同:小斑块的相对斑块化指数低,在1989-1993年期间增加,而后降低;大斑块的情况正好相反。说明羊草空间格局的主要变化之一是中等大小斑块的合并和数目减少,羊草斑块生长对格局的影响比斑块合并的影响要小。 獐茅斑块的格局动态为:1989-1994,斑块总面积、斑块数目、最大斑块面积增大,1995年开始降低。相对斑块化程度则先降后增。碱蓬斑块在1989-1993年间的格局动态与羊草正好相反:总面积减少,斑块数目增加,斑块面积大小的变化范围变窄,说明1993年之前,控制碱蓬斑块的主要生态学过程是其他物种的侵入,隔离原来较大的斑块,同时占据某些小斑块。1994年之后,碱蓬斑块的变化比较随机,其格局变化受到其他物种如杂草对策种虎尾草等的影响很大。 样地总体格局的变化为:1991年前,斑块种类和总斑块数目增加,斑块化程度随着增大;1993年后,斑块种类基本稳定下来;1991-1995,斑块化指数降低。在此期间,斑块数目增加,所以斑块化程度降低意味着斑块大小频率分布趋于均匀,大斑块被分裂,小斑块在长大,群落总体空间格局逐渐稳定。总体格局在三个尺度上有不同的自相似规律,这三个尺度分别为:La(a)<=1; 15.5。小尺度上相对斑块化程度低,但年际间变化较中尺度剧烈;中尺度相对斑块化程度变化较为缓,大尺度上,斑块分布一直趋于减少最大的斑块数目。总的变化趋势为,随恢复演替的深入,最大和最小的斑块数目都减少,处于中间尺度的斑块最多。

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  土壤呼吸是全球碳循环中的一个重要环节,其对全球碳平衡的影响是近年来人们关注的焦点之一。探讨碳素的失汇(missing sink)问题,对陆地生态系统土壤呼吸的研究是必不可少的。环境因子与土壤呼吸之间的关系可以用于将土壤呼吸从“chamber”水平的测量放大到整个生态系统或更大尺度。而温度、水分和植被状况都是对土壤呼吸有重要影响的因子,随着全球气候的变化,这些因子也会发生相应的改变,在这种情况下,它们极有可能与土壤CO2排放之间形成正反馈。温带草原是主要的陆地生态系统类型之一,目前非常缺乏有关土壤呼吸的研究资料。因此,在2001年生长季,我们在内蒙古锡林河流域南部集水区设定了一条东西长约160km、南北宽约30km的样带,从中选择了11个不同的植物群落,采用碱液吸收法周期性地对这些群落的土壤呼吸速率进行同步测定,并对土壤呼吸的时空动态及其与温度、土壤水分和植被状况之间的关系进行了研究。现将主要研究结果概述如下:   ①锡林河流域南部集水区的土壤呼吸表现出明显的季节变化和空间变异。温度是影响土壤呼吸季节变化的主要因子之一,指数模型能够较好地揭示各群落土壤呼吸对温度变化的响应,但低温时模型的拟合效果更好。各群落土壤呼吸的季节动态与温度变化不完全同步,表明温度并不是影响土壤呼吸的唯一因子 。   ②土壤呼吸的温度敏感性在各群落之间存在着一定的差异。春小麦群落的Q10值高于草原群落,说明不同的土地利用方式会影响到土壤呼吸对温度变化的敏感程度。水分对土壤呼吸的温度敏感性有重要影响,秩相关分析的结果表明,土壤水分与Q10值之间存在着显著的正相关关系。此外,依据不同土壤层次的温度得出的Q10值各不相同,基于变化幅度大的浅层土壤温度和气温得出的Q10值较小,而根据变化幅度小的深层土壤温度得出的Q10值较大。   ③水分对各群落的土壤呼吸也有较大影响,但其影响程度有一定的季节差异,生长旺季水分对土壤呼吸的影响显著高于其它季节。从各群落的具体情况来看,水分对土壤呼吸的影响明显受制于群落的水分供应状况。水分供应状况比较好的和水分变化幅度小的群落中,土壤呼吸与水分之间没有显著的函数关系,而水分相对欠缺的群落则存有显著的线性关系。消除温度的影响后,这种线性关系显著增强。土壤水分含量较低的芨芨草群落中,土壤呼吸与表层水分之间的关系也不明显,这与芨芨草根系分布较深,能够利用土壤中较深层次的水分有关。   ④土壤呼吸季节变化与植被之间的关系与各群落内水分状况以及植被对水分的利用机制有关。所有群落土壤呼吸速率随着绿色活体生物量的增长有上升趋势,且在水分供应充足的群落和植被较为耐旱或能够利用深层土壤水的群落中,这二者之间呈显著或极显著的指数关系,其它群落中相关关系不够显著。由于植被立枯量大小反映了水热的综合状况,所以群落的土壤呼吸速率随立枯量的增长呈下降趋势,二者之间的关系也可以用指数方程来表示。   ⑤土壤呼吸在锡林河流域南部的空间变异主要受水分和植被状况的影响。总体来看,土壤水分含量高、地上生物量(包括绿色活体生物量)大或地上净第一性生产力高的草地群落,其土壤呼吸速率也较高。基础呼吸速率对于改进土壤呼吸模型在时间和空间上的预测精度有重要意义。我们的研究结果表明,在平均温度低、水分状况好、地上和地下生物量大、地上净第一性生产力高的地方,基础土壤呼吸速率也相应较高。