Spatial autocorrelation of assemblages of benthic invertebrates and its relationship to environmental factors in two upland rivers in southeastern Australia

The nature of spatial autocorrelation of biota may reveal much about underlying ecological and biological factors responsible for producing those patterns, especially dispersal processes (drift, adult flight, etc.). We report here on assemblage‐level autocorrelation in the benthic‐invertebrate assemblages (retained in sieves of 300 µm mesh) of riffles in two adjacent, relatively pristine rivers in southeastern Victoria, Australia (40‐km reaches of the Wellington and Wonnangatta Rivers). These are related to patterns of autocorrelation in physical and catchment conditions (‘environmental variables’) in the vicinity of the sampling points. Both the invertebrate assemblages and environmental variables were autocorrelated at small scales (= 8 km) in the Wellington River in one of the sampling years (1996). Dissimilarities of invertebrate assemblages were correlated with dissimilarities of environmental variables in both sampling years (1996 and 1997) in that river. Environmental variables were autocorrelated in the Wonnangatta River, but this was not expressed as autocorrelation in the assemblages of invertebrates, which were not autocorrelated at any scale studied. Individual environmental variables showed different spatial patterns between the two rivers. These results suggest that individual rivers have their own idiosyncratic patterns and one cannot assume that even similar, geographically adjacent rivers will have the same patterns, which is a difficulty for ecological assessment and restoration.     

Fauna habitat modelling and mapping: A review and case study in the Lower Hunter Central Coast region of NSW

Abstract Habitat models are now broadly used in conservation planning on public lands. If implemented correctly, habitat modelling is a transparent and repeatable technique for describing and mapping biodiversity values, and its application in peri‐urban and agricultural landscape planning is likely to expand rapidly. Conservation planning in such landscapes must be robust to the scrutiny that arises when biodiversity constraints are placed on developers and private landholders. A standardized modelling and model evaluation method based on widely accepted techniques will improve the robustness of conservation plans. We review current habitat modelling and model evaluation methods and provide a habitat modelling case study in the New South Wales central coast region that we hope will serve as a methodological template for conservation planners. We make recommendations on modelling methods that are appropriate when presence‐absence and presence‐only survey data are available and provide methodological details and a website with data and training material for modellers. Our aim is to provide practical guidelines that preserve methodological rigour and result in defendable habitat models and maps. The case study was undertaken in a rapidly developing area with substantial biodiversity values under urbanization pressure. Habitat maps for seven priority fauna species were developed using logistic regression models of species‐habitat relationships and a bootstrapping methodology was used to evaluate model predictions. The modelled species were the koala, tiger quoll, squirrel glider, yellow‐bellied glider, masked owl, powerful owl and sooty owl. Models ranked sites adequately in terms of habitat suitability and provided predictions of sufficient reliability for the purpose of identifying preliminary conservation priority areas. However, they are subject to multiple uncertainties and should not be viewed as a completely accurate representation of the distribution of species habitat. We recommend the use of model prediction in an adaptive framework whereby models are iteratively updated and refined as new data become available.     

Wasp community responses to habitat complexity in Sydney sandstone forests

Abstract Habitat structure and complexity affect the diversity and composition of fauna in a number of systems. We investigated patterns in wasp species richness, abundance and composition and also their associations with habitat complexity in Sydney sandstone forests, Australia. Pitfall and flight‐intercept traps collected dissimilar wasp assemblages. High complexity habitats supported greater abundance and species richness and a dissimilar composition of pitfall‐trapped wasps to low complexity habitats. Soil moisture, tree canopy cover, ground herb cover and shrub canopy cover all had significant positive associations with the species richness of pitfall‐trapped wasps. Although the five most abundant families of wasps we trapped are endoparasitoids of other arthropods, they showed a variety of preferences for habitat variables. The mechanisms driving associations between habitat complexity and patterns in wasp communities may also provide a basis for understanding factors influencing the regulation of arthropod assemblages by wasps in agricultural and natural landscapes.     

Quantitative floral phenology at the landscape scale: Is a comparative spatio-temporal description of ‘‘flowering landscapes’’ possible?

Entomophilous flowers form the food resources for insect pollinators. Many pollinator species forage at the landscape scale and depend on floral resources that are highly variable in space and time. We present a general model approach in which the floral resources of plant communities are estimated by the floral phenology and the cover of entomophilous plant species. We applied this landscape model in a case study for three landscape sections (1.5–2.2 km²) with strongly differing land-use patterns. The comparison between a conservation area and two agricultural landscapes shows extreme differences in the quantities and in the course of floral resources.

In a stepwise simplification of the landscape model we tested the effects of input data with lower spatio-temporal resolution. Even if input data for floral phenology and vegetation have a low resolution, the landscape model allows a ranking of landscape-specific floral resource potentials. The results of the case study encourage the use of landscape models to estimate floral resource potentials. The assessment of floral resource potentials may help to define this essential landscape quality for evaluation in practical nature conservation.     

Improved Cardiac Contractility of Human Recombinant Growth Hormone on the Congestive Heart Failure of Pig

1Introduction Congestiveheartfailureisamultipleaetiology,high prevalence,cardiovasculardisorderwithpoorprognosis. Medicaltreatmentofdilatedcardiomyopathyisaimedat alleviatingthesymptomsofheartfailure.Diuretics,ACE inhibitorsandbeta blockershavefavourableeffectson symptoms,exercisecapacityandmortality[1-3].Growth hormone(GH)andinsulin likegrowthfactor(IGF) 1 areinvolvedinseveralphysiologicalprocessessuchas thecontrolofmusclemassandfunction,bodycomposi tionandtheregulationofnutrientmetaboli…     

Comparison of adult mosquito community structure on various habitats

The community structure of adult mosquitoes was compared from New Jersey light trap collections in six different types of habitats in Citrus County, Florida, USA. From October 1998 to December 2000, mosquitoes were collected three times a week from the following habitats (swamps, swamps and freshwater marshes, pine fiat-woods, pine fiat-woods and scrub, salt marshes, and salt marshes and mangroves). Mosquito density was highest in the swamps and freshwater marshes habitat, with an average of 95.65 specimens per trap.Density was lowest in the flatwoods and scrub habitat, with an average of 14.38 specimens per trap. Species dominance differed among habitats. Salt marshes produced the greatest aggregation index, while pine flatwoods produced the lowest. Conversely, diversity analysis showed that pine flatwoods had the greatest diversity, while salt marshes the lowest diversity. Similarity indices indicated that the adult mosquito communities from pine flatwoods and pine flatwoods and scrub were very similar (0.8583). The adult mosquito community of salt marshes was different from that of swamps and freshwater marshes (the similar index was 0.0217).     

外来植物紫茎泽兰18个种群的茎叶形态结构比较研究

利用石蜡切片法结合光学显微镜观察了紫茎泽兰18个种群的茎叶形态结构。结果表明：各种群间茎和叶的形态结构均表现出一定的变化,其中茎的维管束束数、叶表皮的部分特征变化较明显。应用SPSS统计软件对叶表皮的特征分析后,发现种群间的气孔器密度、气孔器指数、气孔器长度、气孔器宽度、上下表皮细胞数目均随地理条件的变化而表现出明显差异。相关分析表明气孔器密度、气孔器指数与海拔高度呈正相关。但紫茎泽兰各种群间的叶表皮细胞形状无明显变化,均为无规则型,垂周壁式样均为浅波状深波状;气孔器类型均为无规则型。     

Habitat loss, resource specialization, and extinction on coral reefs

Coral reefs worldwide are being degraded because of global warming (coral bleaching) and coastal development (sedimentation and eutrophication). Predicting the risk of species extinctions from this type of habitat degradation is one of the most challenging and urgent tasks facing ecologists. Habitat specialists are thought to be more prone to extinction than generalists; however, specialists may be more susceptible to extinction because (1) they are specialists per se, (2) they are less abundant than generalists, or (3) both. Here, I show that declines in coral abundance lead to corresponding declines in the abundance of coral‐dwelling fishes, but with proportionally greater losses to specialists than generalists. In addition, specialists have smaller initial population sizes than generalists. Consequently, specialists face a dual risk of extinction because their already small populations decline more rapidly than those of generalists. Corresponding with this increased extinction risk, I describe the local extinction of one specialist species and the near‐global extinction of another species. I conclude that habitat specialists will be the first species lost from coral reefs because their small populations suffer the most from human‐induced disturbances.     

Resource Abundance and Invasiveness: A Simple Model

The 'invasiveness' of an alien species depends partly on its ability to become abundant and widespread in its new environment. While competitiveness may be an important component of this ability, so too is the abundance of resource or habitat. First, the local carrying capacity will depend on the local favourability of the habitat, hence the global density will depend on how widespread the habitat is. Second, and more subtly, the local density will also be affected by the global extent of favourable habitat, because of losses occasioned by dispersal when the population redistributes; these losses should be fewer the greater the contiguous area of favourable habitat or the more patches of such habitat across the landscape. Here we describe a model which demonstrates how habitat availability affects an invading speciesèquilibrium abundance, hence its invasiveness. The model shows that local density is likely to be an increasing function of global habitat abundance, and global density to be a non-linear, concave-up function of global habitat abundance. Examples are given to support the model's predictions, taken largely from alien species in New Zealand.     

Genetic diversity,differentiation and conservation in <Emphasis Type="Italic">Araucaria bidwillii</Emphasis>(Araucariaceae), Australia's Bunya pine

Habitat fragmentation has resulted in many species becoming geographically restricted, as dispersal among subsequent isolates becomes compromised. This study investigated the effects of historical fragmentation on the genetic diversity and differentiation of Australia's Bunya Pine (Araucaria bidwillii) using random amplified DNA (RAPD) markers. High diversity characterises all Bunya populations sampled, regardless of population size or degree of isolation, which may be either due to similar effective population size among populations, or the lagging effects of the detection of contemporary genetic signal in long-lived conifer species. Large genetic differentiation characterises the northern and southern populations, although all sampled populations are significantly differentiated from each other. The northern population, at Mt Lewis, is responsible for the majority of variation detected among populations, and as such represents a significant genetic reservoir. The conservation of the genotypes of the Mt Lewis population may be imperative for the future of the species, given predicted models of accelerated climate change over the coming decades.