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Regional Environmental Change - Managing multiple ecosystem services (ES) in agricultural landscapes is a challenging task, especially in regions with complex topographical and agro-ecological...  相似文献   
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A dietary shift towards reduced meat consumption is an efficient strategy for countering biodiversity loss and climate change in regions (developed and transition countries) where consumption is already at a very high level or is rapidly expanding (such as China). Biodiversity is being degraded and lost to a considerable extent, with 70 % of the world’s deforestation a result of stripping in order to grow animal feed. Furthermore, about 14.5 % of the world’s anthropogenic greenhouse gas emissions (GHG) are calculated to be the result of (mainly industrial) livestock farming. The research reviewed here focuses on the feasibility of reducing meat consumption in developed and transition countries, as this would—among other positive effects—reduce the global loss of biodiversity, the need for unsustainable agricultural practices and GHG emissions. This article reviews the barriers, opportunities and steps that need to be taken in order to encourage the consumption of less meat, based on an interdisciplinary and multifactor approach. The evidence is gathered from a systematic meta-analysis of factors (including personal, sociocultural and external factors) that influence individual meat-eating behaviour. The most relevant factors that influence behaviour appear to be emotions and cognitive dissonance (between knowledge, conflicting values and actual behaviour) and sociocultural factors (e.g. social norms or social identity). For different factors and groups of people, different strategies are appropriate. For example, for men and older people deploying the health argument or arguing for flexitarianism (reduced meat consumption) may prove the most promising approaches, while providing emotional messages or promoting new social norms is recommended in order to address barriers such as cognitive dissonance.

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Biomonitoring programmes provide relevant information, which may supplement ambient air pollution monitoring or modelling around emission sources. As a prerequisite, assessment scales for biomonitoring data have to be derived based on an objective evaluation of available data, as well as on a scheme of presentation, which is suggestive and easily understandable even for laymen. Based on an evaluation of numerous monitoring programmes, assessment scales for biomonitoring results are derived for plant biomonitoring, which also serve as a basis for the graphical presentation of monitoring results. This study is focussed on bioindicator plants like mosses (passive biomonitoring) and exposed lichens (active biomonitoring), in which 14 metal elements are investigated. As an example, data from a local biomonitoring network around a cement plant were used to demonstrate the use of the assessment scales derived and the presentation scheme developed. Data sets from about 15 moss and 24 lichen biomonitoring programmes, comprising more than 1000 specimens, were sorted by their pollutant characteristics in order to form the database. Data on the metal contents of species demonstrating similar values with respect to growth characteristics and habit, and representing background or low pollution levels, are aggregated and their statistical distributions are evaluated. Spacing of the assessment scales and their colour designations are derived from the 50-, 75-, 90- and 95-percentile values. Graphical presentation allows a comparison of the absolute values of metal contents and a relative association of measured values. Exemplary results from moss and lichen monitoring around a cement plant are generally below or slightly above the median values at background and low-pollution sites. Metal contents are higher in lichens compared to mosses for 7 elements (Cd, Cu, Hg, Pb, Sb, Sn, Zn), and are lower in lichens only for thallium. The assessment scheme presented is mainly aimed at the practitioner in the field of biomonitoring in order to provide a reliable and sound scale of assessment by comparison on an absolute scale rather than presenting the basis of ecological risk assessment. Differences in metal content of co-located samples of various moss species and possible correction procedures are briefly discussed- as well as the consequences of pooling monitoring data across various moss species for the quality of assessment scales. Further evaluations shall focus on species-specific rather than on pooled databases and will investigate the consequences of the use of correction factors when extrapolating metal data from one monitoring species to another.  相似文献   
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Single-species tests allow the assessment of chronical effects of endocrine disruptors on organisms under laboratory conditions. In the current study, three-generation tests with Ceriodaphnia reticulata and Sida crystallina were carried out to examine the influence of the synthetic hormone 17alpha-ethinylestradiol (EE) on the reproduction of these cladoceran species. For each species, six different concentrations (10-500 microg/l EE) and two controls were tested with eight replicates for a duration of 4 weeks. The test was initiated by transferring one neonate individual into a test vessel which was incubated under standardized conditions. Every 2 days, the medium was renewed and life history parameters such as survivorship of the adults and juveniles, clutch size, first appearance and number of produced offspring were investigated. Acute toxicity tests showed that C. reticulata (EC50 (24 h) 1814 microg/l) was more sensitive towards the substance compared to S. crystallina (EC50 (24 h) >4100 microg/l). The juvenile phase of S. crystallina was significantly shorter at concentrations above 100 microg/l EE. For C. reticulata, 17alpha-ethinylestradiol caused a higher mortality of the newly hatched juveniles at EE concentrations above 200 microg/l. No effects were found for mortality of adult animals, birth rate, number of juveniles per female and net reproduction rate of S. crystallina and C. reticulata. Thus, sublethal effects on parental generation exposed to EE lead to disturbances in reproduction and to affection of their offspring. Negative consequences for the population dynamic cannot be excluded, e.g. the decrease of a population.  相似文献   
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Zusammenfassung  Durch ein Moosbiomonitoring sollte die H?he und die Verteilung der atmosph?rischen Deposition von 37 Elementen in der Euroregion Nei?e (ERN) nach den politischen und wirtschaftlichen Ver?nderungen erfasst und mit anderen Regionen verglichen werden. Weiterhin sollten die Akkumulationseigenschaften vonPleurozium schreberi undPolytrichum formosum, den in dieser Studie verwendeten Moosarten, miteinander verglichen werden. Bis Anfang der 90er Jahre war diese Region Teil des “Schwarzen Dreiecks”, das sich durch eine extrem hohe atmosph?rische Staubbelastung auszeichnete. Durch die Schlie?ung zahlreicher Betriebe, der Ausrüstung der Kraftwerke mit Filteranlagen, der abnehmenden Bedeutung der Braunkohle als h?uslicher Energietr?ger ver?nderte sich die Situation drastisch. Die Elementkonzentrationen in den Moosen der ERN lassen sich heute mit denen der alten Bundesl?nder vergleichen. Lediglich für Fe und Ti konnten deutlich h?here Gehalte ermittelt werden. Dies ist auf den h?heren Anteil der Braunkohle als Energietr?ger zurückzuführen. In der Region um Katowice in Oberschlesien konnten für einige Elemente mehr als 10 fach h?here Gehalte in den Moosen als in der ERN ermittelt werden. Das Oberschlesische Industrierevier weist eine derart hobe atmosph?rische Belastungen auf, dass hier ein dringender Handlungsbedarf besteht. Online-First: 21. Juni 2000  相似文献   
6.
Atlantic mollies (Poecilia mexicana) inhabit a variety of surface habitats, but they also occur in a sulfur cave in southern Mexico. We examined male mate choice relative to female body size in the cave population and in the most closely related surface-dwelling population from a nearby river. Males from both populations were either light- or dark-reared and could choose between two differently sized females either on the basis of visual cues in light or on the basis of solely nonvisual cues in darkness. Sexual preferences were estimated from the degree of association. Cave molly males always showed a preference for the larger female, both in light and in darkness. Among the surface males, only light-reared males showed a preference in the visual cues test, but not in darkness. In a control experiment, we demonstrated that male association preferences directly translate into actual mating preferences. Apparently, using visual cues for mate choice is the ancestral state in this system, and using nonvisual cues has evolved as a novel trait in the cave population. We discuss the evolution of nonvisual male mate choice in the context of changed environmental conditions, namely the absence of light, hypoxia, and toxic hydrogen sulfide in the cave.  相似文献   
7.
We analysed growth strategies (biomass allocation, nutrient sequestration and allocation) of heather (Calluna vulgaris) and purple moor-grass (Molinia caerulea) seedlings in monocultures and mixtures in relation to N, P, and N + P fertilisation in a greenhouse experiment in order to simulate a heath’s pioneer phase under high airborne nitrogen (N) loads. N fertilisation increased the total biomass of both species in monocultures. In mixtures, M. caerulea sequestered about 65% of the N applied, while C. vulgaris suffered from N shortage (halving of the total biomass). Thus, in mixtures only M. caerulea will benefit from airborne N loads, and competition will become increasingly asymmetric with increasing N availability. Our results demonstrate that the heath’s pioneer phase is the crucial tipping point at which the competitive vigour of M. caerulea (high belowground allocation, efficient use of belowground resources, shortened reproductive cycles) induces a shift to dominance of grasses under increased N availability.  相似文献   
8.
Individual-based models (IBMs) have been improved in quality and reliability in recent years with an approach called pattern-oriented modelling (POM). POM proposes guidelines to develop models reproducing multiple patterns observed on the field and to test systematically how well the IBMs reproduce them. POM studies used generally traditional methods of goodness of fit such as the sum of squares evaluation or ad hoc comparisons of fitting errors and variations. Model selection, however, can be a rigorous statistical approach based on information theory and information criteria such as the Akaike's information criterion (AIC) or the deviance information criterion (DIC). So far, it has not been tried to link POM to these rigorous techniques. The main problems to achieve that are: (a) the difficulty to have likelihood functions for IBMs’ parameters and (b) the possibility to obtain posterior distributions of IBMs’ parameters given the patterns to reproduce. In a first part, this paper answers problem (a) by proposing and explaining how to calculate a deviance measure (POMDEV) for models developed in a context of POM. And while answering the second problem, a second part of the paper proposes an information criterion for model selection in a POM context (the pattern-oriented modelling information criterion: POMIC). This criterion does not yet have the same theoretical foundation as, e.g., AIC, but uses formal analogies to the DIC. In a third part POMIC is tested with a modelling exercise. This exercise shows the potential of POMIC to use multiple patterns for selecting among multiple potential submodels and eventually select the most parsimonious and well fitting model version. We conclude that POMIC, although being a heuristically derived approach, can greatly improve the POM framework.  相似文献   
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