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Neighbourhood Effects (neighbourhood + effects)
Selected AbstractsClose Neighbours Matter: Neighbourhood Effects on Early Performance at School,THE ECONOMIC JOURNAL, Issue 523 2007Dominique Goux Children's outcomes are strongly correlated with those of their neighbours. The extent to which this is causal is the subject of an extensive literature. There is an identification problem because people with similar characteristics are observed to live in close proximity. Another major difficulty is that neighbourhoods measured in available data are often considerably larger than those which matter for outcomes (i.e. close neighbours). Several institutional features of France enable us to address these problems. We find that an adolescent's outcomes at the end of junior high-school are strongly influenced by the performance of other adolescents in the neighbourhood. [source] Testing the intermediate disturbance hypothesis: when will there be two peaks of diversity?DIVERSITY AND DISTRIBUTIONS, Issue 1 2005Karin Johst ABSTRACT Succession after disturbances generates a mosaic of patches in different successional stages. The intermediate disturbance hypothesis predicts that intermediate disturbances lead to the highest diversity of these stages on a regional scale resulting in a hump-shaped diversity,disturbance curve. We tested this prediction using field data of forest succession and hypothetical succession scenarios in combination with analytical and simulation models. According to our study the main factors shaping the diversity,disturbance curve and the position of the diversity maximum were the transition times between the successional stages, the transition type, neighbourhood effects and the choice of diversity measure. Although many scenarios confirmed the intermediate disturbance hypothesis we found that deviations in the form of two diversity maximums were possible. Such bimodal diversity,disturbance curves occurred when early and late successional stages were separated by one or more long-lived (compared to the early stages) intermediate successional stages. Although the field data which met these conditions among all those tested were rare (one of six), the consequences of detecting two peaks are fundamental. The impact of disturbances on biodiversity can be complex and deviate from a hump-shaped curve. [source] Forecasting the Adoption of Genetically Modified Oilseed Rape Prognosen hinsichtlich der Einführung von gentechnisch verändertem Raps Prévisions sur l'adoption de colza transgéniqueEUROCHOICES, Issue 2 2009Gunnar Breustedt Summary Forecasting the Adoption of Genetically Modified Oilseed Rape We explore farmers' willingness to adopt genetically modified oilseed rape prior to its commercial release and estimate the ,demand' for the new technology. The analysis is based upon experiments with arable farmers in Germany who were asked to choose among conventional and GM rapeseed varieties with different characteristics. Our analysis has shown that ex ante GM adoption decisions are driven by profit expectations and personal as well as farm characteristics. Monetary and technological determinants such as the gross margin advantage of GM oilseed rape varieties, expected liability from cross pollination and restricted flexibility in returning to conventional oilseed rape growing affect the willingness to adopt GM rape in the expected directions. The results further indicate that neighbourhood effects and public attitudes matter a lot, such that individual farmers may not feel entirely free in their technology choice. Our demand simulations suggest that monopolistic seed prices would be set at between ,50 and ,100 per hectare, leaving farmers with a small share of the GM rent. This raises the question as to whether the farmers surveyed would actually benefit from the approval of GM rape varieties if the technology were to be provided by a single firm. Nous explorons le consentement des agriculteurs à utiliser du colza transgénique avant sa mise en marché et estimons la demande de cette nouvelle technologie. L'analyse se fonde sur des expériences menées auprès de cultivateurs allemands à qui l'on a demandé de choisir entre des variétés de colza conventionnelles et transgéniques aux caractéristiques différentes. Notre analyse a montré que les décisions a priori concernant l'adoption de variétés transgéniques sont fonction des profits attendus et des caractéristiques de l'agriculteur et de l'exploitation. Les facteurs financiers et technologiques comme les avantages des variétés de colza transgénique en termes de marge brute, ainsi que les risques possibles de fertilisation croisée et les contraintes relatives au retour vers des cultures de colza conventionnelles ont les effets attendus sur le consentement à adopter des variétés transgéniques. Les résultats montrent également que les effets de voisinage et l'attitude du public comptent beaucoup, de sorte que les agriculteurs individuels pourraient ne pas se sentir complètement libres de choisir leur technologie. Nos simulations sur la demande semblent indiquer que les prix des semences en situation de monopole seraient fixés entre 50 et 100 , par hectare, ce qui laisserait aux agriculteurs une faible part de la rente transgénique. Cela soulève la question de savoir si les agriculteurs de l'enquête tireraient vraiment avantage de l'approbation de variétés de colza transgéniques si la technologie n'était fournie que par une seule compagnie. Wir untersuchen die Bereitschaft von Landwirten, gentechnisch veränderten Raps einzuführen, bevor dieser auf den Markt gebracht wird, und schätzen die ,Nachfrage' nach dieser neuen Technologie ein. Unsere Analyse stützt sich auf Versuche mit Ackerbauern in Deutschland, bei denen sich die Landwirte zwischen herkömmlichen und gentechnisch veränderten Rapssorten mit verschiedenen Eigenschaften entscheiden mussten. Unsere Analyse zeigt, dass ex ante die Entscheidungen über die Einführung von gentechnisch verändertem Raps aufgrund von Gewinnerwartungen sowie von persönlichen und betrieblichen Charakteristika getroffen werden. Monetäre und technologische Bestimmungsgrößen wie z.B. der Vorsprung des gentechnisch veränderten Raps beim Deckungsbeitrag, die erwartete Haftbarkeit bei Fremdbestäubung sowie die nur eingeschränkte Flexibilität, zum herkömmlichen Rapsanbau zurückkehren zu können, beeinflussen erwartungsgemäß die Bereitschaft, gentechnisch veränderten Raps anzubauen. Desweiteren zeigen die Ergebnisse, dass Nachbarschaftseffekte und öffentliche Meinungen eine große Rolle spielen, so dass sich einige Landwirte womöglich bei der Wahl der Technologie in ihrer Entscheidungsfreiheit eingeschränkt fühlen. Unsere Nachfragesimulationen deuten darauf hin, dass sich monopolistische Saatgutpreise zwischen EUR 50 und EUR 100 pro Hektar bewegen würden, so dass den Landwirten ein kleiner Teil der ökonomischen Rente der GV-Technologie verbliebe. Dies wirft die Frage auf, ob die betrachteten Landwirte überhaupt von der Zulassung der gentechnisch veränderten Rapssorten profitieren würden, wenn die Technologie nur von einem einzigen Unternehmen angeboten würde. [source] Predicting the distribution of four species of raptors (Aves: Accipitridae) in southern Spain: statistical models work better than existing mapsJOURNAL OF BIOGEOGRAPHY, Issue 2 2004Javier Bustamante Abstract Aim, To test the effectiveness of statistical models based on explanatory environmental variables vs. existing distribution information (maps and breeding atlas), for predicting the distribution of four species of raptors (family Accipitridae): common buzzard Buteo buteo (Linnaeus, 1758), short-toed eagle Circaetus gallicus (Gmelin, 1788), booted eagle Hieraaetus pennatus (Gmelin, 1788) and black kite Milvus migrans (Boddaert, 1783). Location, Andalusia, southern Spain. Methods, Generalized linear models of 10 × 10 km squares surveyed for the presence/absence of the species by road census. Statistical models use as predictors variables derived from topography, vegetation and land-use, and the geographical coordinates (to take account of possible spatial trends). Predictions from the models are compared with current distribution maps from the national breeding atlas and leading reference works. Results, The maps derived from statistical models for all four species were more predictive than the previously published range maps and the recent national breeding atlas. The best models incorporated both topographic and vegetation and land-use variables. Further, in three of the four species the inclusion of spatial coordinates to account for neighbourhood effects improved these models. Models for the common buzzard and black kite were highly predictive and easy to interpret from an ecological point of view, while models for short-toed eagle and, particularly, booted eagle were not so easy to interpret, but still predicted better than previous distribution information. Main conclusions, It is possible to build accurate predictive models for raptor distribution with a limited field survey using as predictors environmental variables derived from digital maps. These models integrated in a geographical information system produced distribution maps that were more accurate than previously published ones for the study species in the study area. Our study is an example of a methodology that could be used for many taxa and areas to improve unreliable distribution information. [source] Fine-scale environmental variation and structure of understorey plant communities in two old-growth pine forestsJOURNAL OF ECOLOGY, Issue 2 2003Lee E. Frelich Summary 1Although it is well established that nitrogen and light play major roles in structuring plant communities across the landscape, it is not as clear how they structure communities within forest stands. Virtually nothing is known about within-stand structure of understorey communities of herbs and small shrubs in near-boreal forests. 2We tested the hypothesis that fine-scale (5,20 m) variability in N and light structure forest-floor plant communities in two old-growth mixed Pinus resinosa and Pinus strobus forests in north-eastern Minnesota, USA. 3In each forest, all trees > 1.4 m tall were mapped on a 0.75,1.0 ha area. A grid of subplots 5,10 m apart was established (total n = 147), and N mineralization (µg g,1 soil day,1), soil depth (cm), light (% canopy openness), and percentage cover of all herbs and small shrubs were measured on each subplot. 4Cluster analysis showed that the dominant understorey species fall into three groups. Group 1 is unrelated to N and light, and is negatively associated with a midstorey of the small tree Acer rubrum and the most abundant tall shrub Corylus cornuta. Group 2 reaches maximum abundance in places (mostly gaps) with relatively high light, but is unrelated to within-stand variation in N availability. Group 3 consists of a single species, Aster macrophyllus, and reaches maximum abundance in areas with low N availability and low abundance of Corylus, but higher than average abundance of P. strobus and Betula papyrifera overstorey trees. 5N and light have a moderate influence on understorey plant community structure. The plant species do arrange themselves along N and light gradients, but the gradients are likely to be too narrow to allow the degree of differentiation seen at the landscape level. Spatial patterning of the species groups is probably influenced by other factors, including disturbance history, chance and neighbourhood effects such as clonal reproduction. [source] The complexity of school and neighbourhood effects and movements of pupils on school differences in models of educational achievementJOURNAL OF THE ROYAL STATISTICAL SOCIETY: SERIES A (STATISTICS IN SOCIETY), Issue 3 2009George Leckie Summary., Traditional studies of school differences in educational achievement use multilevel modelling techniques to take into account the nesting of pupils within schools. However, educational data are known to have more complex non-hierarchical structures. The potential importance of such structures is apparent when considering the effect of pupil mobility during secondary schooling on educational achievement. Movements of pupils between schools suggest that we should model pupils as belonging to the series of schools that are attended and not just their final school. Since these school moves are strongly linked to residential moves, it is important to explore additionally whether achievement is also affected by the history of neighbourhoods that are lived in. Using the national pupil database, this paper combines multiple membership and cross-classified multilevel models to explore simultaneously the relationships between secondary school, primary school, neighbourhood and educational achievement. The results show a negative relationship between pupil mobility and achievement, the strength of which depends greatly on the nature and timing of these moves. Accounting for pupil mobility also reveals that schools and neighbourhoods are more important than shown by previous analysis. A strong primary school effect appears to last long after a child has left that phase of schooling. The additional effect of neighbourhoods, in contrast, is small. Crucially, the rank order of school effects across all types of pupil is sensitive to whether we account for the complexity of the multilevel data structure. [source] Environmental and neighbourhood effects on tree fern distributions in a neotropical lowland rain forestJOURNAL OF VEGETATION SCIENCE, Issue 1 2007Mirkka M. Jones Abstract Questions: To what extent are the distributions of tropical rain forest tree ferns (Cyatheaceae) related to environmental variation, and is habitat specialization likely to play a role in their local coexistence? Location: Lowland rain forest at La Selva Biological Station, Costa Rica. Methods: Generalized linear (GLM) and generalized additive (GAM) logistic regression were used to model the incidence of four tree fern species in relation to environmental and neighbourhood variables in 1154 inventory plots regularly distributed across 6 km2 of old-growth forest. Small and large size classes of the two most abundant species were modelled separately to see whether habitat associations change with ontogeny. Results: GLM and GAM model results were similar. All species had significant distributional biases with respect to micro-habitat. Environmental variables describing soil variation were included in the models most often, followed by topographic and forest structural variables. The distributions of small individuals were more strongly related to environmental variation than those of larger individuals. Significant neighbourhood effects (spatial autocorrelation in intraspecific distributions and non-random overlaps in the distributions of certain species pairs) were also identified. Overlaps between congeners did not differ from random, but there was a highly significant overlap in the distributions of the two most common species. Conclusions: Our results support the view that habitat specialization is an important determinant of where on the rain forest landscape tree ferns grow, especially for juvenile plants. However, other factors, such as dispersal limitation, may also contribute to their local coexistence. [source] | |||||||||||||