993 resultados para Crop fields


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Sustainable agricultural landscapes by definition provide high magnitude and stability of ecosystem services, biodiversity and crop productivity. However, few studies have considered landscape effects on the stability of ecosystem services. We tested whether isolation from florally diverse natural and semi-natural areas reduces the spatial and temporal stability of flower-visitor richness and pollination services in crop fields. We synthesised data from 29 studies with contrasting biomes, crop species and pollinator communities. Stability of flower-visitor richness, visitation rate (all insects except honey bees) and fruit set all decreased with distance from natural areas. At 1 km from adjacent natural areas, spatial stability decreased by 25, 16 and 9% for richness, visitation and fruit set, respectively, while temporal stability decreased by 39% for richness and 13% for visitation. Mean richness, visitation and fruit set also decreased with isolation, by 34, 27 and 16% at 1 km respectively. In contrast, honey bee visitation did not change with isolation and represented > 25% of crop visits in 21 studies. Therefore, wild pollinators are relevant for crop productivity and stability even when honey bees are abundant. Policies to preserve and restore natural areas in agricultural landscapes should enhance levels and reliability of pollination services.

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The potential risk of agricultural pesticides to mammals typically depends on internal concentrations within individuals, and these are determined by the amount ingested and by absorption, distribution, metabolism, and excretion (ADME). Pesticide residues ingested depend, amongst other things, on individual spatial choices which determine how much and when feeding sites and areas of pesticide application overlap, and can be calculated using individual-based models (IBMs). Internal concentrations can be calculated using toxicokinetic (TK) models, which are quantitative representations of ADME processes. Here we provide a population model for the wood mouse (Apodemus sylvaticus) in which TK submodels were incorporated into an IBM representation of individuals making choices about where to feed. This allows us to estimate the contribution of individual spatial choice and TK processes to risk. We compared the risk predicted by four IBMs: (i) “AllExposed-NonTK”: assuming no spatial choice so all mice have 100% exposure, no TK, (ii) “AllExposed-TK”: identical to (i) except that the TK processes are included where individuals vary because they have different temporal patterns of ingestion in the IBM, (iii) “Spatial-NonTK”: individual spatial choice, no TK, and (iv) “Spatial-TK”: individual spatial choice and with TK. The TK parameters for hypothetical pesticides used in this study were selected such that a conventional risk assessment would fail. Exposures were standardised using risk quotients (RQ; exposure divided by LD50 or LC50). We found that for the exposed sub-population including either spatial choice or TK reduced the RQ by 37–85%, and for the total population the reduction was 37–94%. However spatial choice and TK together had little further effect in reducing RQ. The reasons for this are that when the proportion of time spent in treated crop (PT) approaches 1, TK processes dominate and spatial choice has very little effect, and conversely if PT is small spatial choice dominates and TK makes little contribution to exposure reduction. The latter situation means that a short time spent in the pesticide-treated field mimics exposure from a small gavage dose, but TK only makes a substantial difference when the dose was consumed over a longer period. We concluded that a combined TK-IBM is most likely to bring added value to the risk assessment process when the temporal pattern of feeding, time spent in exposed area and TK parameters are at an intermediate level; for instance wood mice in foliar spray scenarios spending more time in crop fields because of better plant cover.

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One of the challenges in epidemiology is to account for the complex morphological structure of hosts such as plant roots, crop fields, farms, cells, animal habitats and social networks, when the transmission of infection occurs between contiguous hosts. Morphological complexity brings an inherent heterogeneity in populations and affects the dynamics of pathogen spread in such systems. We have analysed the influence of realistically complex host morphology on the threshold for invasion and epidemic outbreak in an SIR (susceptible-infected-recovered) epidemiological model. We show that disorder expressed in the host morphology and anisotropy reduces the probability of epidemic outbreak and thus makes the system more resistant to epidemic outbreaks. We obtain general analytical estimates for minimally safe bounds for an invasion threshold and then illustrate their validity by considering an example of host data for branching hosts (salamander retinal ganglion cells). Several spatial arrangements of hosts with different degrees of heterogeneity have been considered in order to separately analyse the role of shape complexity and anisotropy in the host population. The estimates for invasion threshold are linked to morphological characteristics of the hosts that can be used for determining the threshold for invasion in practical applications.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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We studied the diet of the Barn Owl (Tyto alba) in an agricultural area of southern Brazil (29degrees36'S, 52degrees11'W), based on analysis of regurgitated remains. The results clearly showed that the diet of the Barn Owl reflects the human impact on its habitat. The cosmopolitan house mouse (Mus musculus) was the most preyed upon small mammal (81.9%) and the most important in terms of the Barn Owl ingested biomass (69%). This rodent, due to its small size, is also responsible for the relatively low me-an weight off small mammal prey in the owl diet (19.6 g). In southern Brazilian agroecosystems, the Barn Owl probably feeds mainly on mice due to their great abundance in crop fields and grain storage areas of the region.

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This paper proposes a fuzzy classification system for the risk of infestation by weeds in agricultural zones considering the variability of weeds. The inputs of the system are features of the infestation extracted from estimated maps by kriging for the weed seed production and weed coverage, and from the competitiveness, inferred from narrow and broad-leaved weeds. Furthermore, a Bayesian network classifier is used to extract rules from data which are compared to the fuzzy rule set obtained on the base of specialist knowledge. Results for the risk inference in a maize crop field are presented and evaluated by the estimated yield loss. © 2009 IEEE.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Agronomia (Produção Vegetal) - FCAV

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The objective of this work was to evaluate the total and thermotolerant coliform densities in the oyster culture water of Cananeia, SP, Brazil, correlating these densities with environmental variables and tidal variations. Superficial water samples were collected in two tide conditions (spring and neap) from three areas of Cananéia municipality (Mandira, Itapitangui and Cooperostra). The three studied areas showed good conditions for the culture regarding coliform densities. The two tidal conditions differed significantly as to total coliform concentration; however, the same procedure was not performed for thermotolerant coliforms. No correlation was observed between water temperature, pH, and concentrations of total and thermotolerant coliforms. Coliform density was positively correlated with rainfall and negatively correlated with salinity. Spring and neap tides differed significantly as to coliform number. Simple diagnosis of environmental conditions of the crop fields is insufficient to assess water quality of shellfish cultivation. A continuous monitoring program of planted areas is necessary both for the assessment of water quality potential for marine culture and for ensuring safe consumption of seafood, besides constituting an important tool to understand the relationships between contamination and the involved environmental variables.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Control operations at 6-month intervals, continued for four years in crop fields, reduced the rodent population to 5.08 percent losses to agricultural production. After eight crop seasons, a significant reduction in rodent density was observed in treated areas when compared with that of the control areas (P < 0.01). Correlation between pre-treatment population index (y) and number of seasons (log of x) was found to be 0.91 (P < 0.01). A relationship was established between y and x : y = 0.804.0-0.9621 log x. From this equation, it can be inferred that rodent population will reach zero level after treating crop fields continuously for6.85 or say 7.0 (seven) seasons. After control, the numbers of predominant rodents, Tatera indica, Meriones hurrianae and Rattus meltada. were significantly reduced and the residual population was composed of Mus booduga. Gerbillus spp., Rattus gleadowi. Golunda ellioti and Funambulus pennanti.

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Stickstoffmonoxid (NO) ist als reaktives Spurengas eine wichtige Komponente atmosphärenchemischer Prozesse und hat somit einen bedeutenden Einfluss auf die Zusammensetzung der Atmosphäre. Eine Hauptquelle des Spurengases stellen bodenmikrobiologische Prozesse dar, deren regionaler und globaler Anteil weiterhin mit größeren Unsicherheiten geschätzt wird. Ursache für die schwere Abschätzbarkeit der NO-Freisetzung aus Böden ist die hohe räumliche Variabilität der steuernden Faktoren. Als einer der wichtigsten Faktoren, die die Freisetzung von NO aus Böden regeln, gilt der Bodenwassergehalt. Ziel der vorliegenden Arbeit ist es, den Zusammenhang zwischen NO-Freisetzung, Bodenwassergehalt, den Bodeneigenschaften und den Standortbedingungen zu untersuchen und diesen möglichst zu quantifizieren. Dazu sind Bodenproben unterschiedlicher Landnutzungen in einem kleineren Wassereinzugsgebiet im Rheingau im Labor, unter kontrollierten Bedingungen, untersucht. Der charakteristische Zusammenhang zwischen Bodenfeuchte und NO-Freisetzung, die sogenannte Bodenfeuchtekurve, kann demnach weitestgehend auf die gemessenen Bodenmerkmale der untersuchten Proben zurückgeführt werden. Anhand der Bodenmerkmale kann die Bodenfeuchtekurve zufriedenstellend vorhergesagt werden. Dabei zeigt vor allem der Humusgehalt der Böden einen dominierenden Einfluss. Er ist die Variable, die die Unterschiede der Böden beim Zusammenhang zwischen Bodenfeuchte und NO-Freisetzung am besten und hinreichend erklären kann. Zur Konstruktion der Bodenfeuchtekurve müssen die optimale Bodenfeuchte und die dabei herrschende Freisetzung, sowie die obere Bodenfeuchte, bei der keine NO-Freisetzung mehr stattfindet, bekannt sein. Diese charakteristischen Punkte lassen sich durch lineare Regressionsmodelle gut aus den Bodeneigenschaften ableiten. Auf räumlicher Ebene werden die Bodeneigenschaften durch die standörtlichen Bedingungen geprägt, die wiederum Ausdruck der landschaftlichen Ausstattung sind. In der Kulturlandschaft kann der Mensch aufgrund seiner Landnutzungsansprüche als der dominierende Faktor angesehen werden. Die Landnutzung orientiert sich an den landschaftlichen Bedingungen und bestimmt in hohem Maße wichtige Bodeneigenschaften, die zu den erklärenden Merkmalen bei der Beziehung zwischen Bodenwassergehalt und NO-Freisetzung gehören. Die in erster Linie wirtschaftlich orientierten Kartenwerke Bodenschätzung, Weinbergsbodenkartierung und forstliche Standortkartierung sind dementsprechend geeignete Grundlagen, um eine Regionalisierung der Landschaft in - bezüglich der NO-Freisetzung - weitgehend homogene Flächen durchführen zu können. Eine hierauf beruhende Regionalisierung ist dazu geeignet, die räumliche Variabilität der NO-Freisetzung in räumlich sinnvoller Auflösung besser abschätzen zu können.

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Organic management is one of the most popular strategies to reduce negative environmental impacts of intensive agriculture. However, little is known about benefits for biodiversity and potential worsening of yield under organic grasslands management across different grassland types, i.e. meadow, pasture and mown pasture. Therefore, we studied the diversity of vascular plants and foliage-living arthropods (Coleoptera, Araneae, Heteroptera, Auchenorrhyncha), yield, fodder quality, soil phosphorus concentrations and land-use intensity of organic and conventional grasslands across three study regions in Germany. Furthermore, all variables were related to the time since conversion to organic management in order to assess temporal developments reaching up to 18 years. Arthropod diversity was significantly higher under organic than conventional management, although this was not the case for Araneae, Heteroptera and Auchenorrhyncha when analyzed separately. On the contrary, arthropod abundance, vascular plant diversity and also yield and fodder quality did not considerably differ between organic and conventional grasslands. Analyses did not reveal differences in the effect of organic management among grassland types. None of the recorded abiotic and biotic parameters showed a significant trend with time since transition to organic management, except soil organic phosphorus concentrations which decreased with time. This implies that permanent grasslands respond slower and probably weaker to organic management than crop fields do. However, as land-use intensity and inorganic soil phosphorus concentrations were significantly lower in organic grasslands, overcoming seed and dispersal limitation by re-introducing plant species might be needed to exploit the full ecological potential of organic grassland management. We conclude that although organic management did not automatically increase the diversity of all studied taxa, it is a reasonable and useful way to support agro-biodiversity.