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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Exploring the Relationship Between Grape Quality and the Microclimate in Madeira, Portugal

Correia, Justin 15 May 2012 (has links)
Landscape characteristics affect vineyard microclimates and influence the quality of grapes produced. There is currently a lack of research examining the microclimatological conditions of vineyards and how they affect grape quality. This study utilizes qualitative methods to explore the relationship between vineyard microclimates and grape quality in Madeira, Portugal. Semi-structured interviews have been conducted with local participants involved in the production of wine grapes and are used to reveal the factors affecting grape quality. Interviews accompany a physical inventory of landscape characteristics in the vineyards, and are guided by where interviewees observe changes in grape quality. The findings suggest there is a strong relationship between microclimates and grape quality. These results are utilized to make recommendations for methods of site selection and the microclimatic design of vineyards.
2

Assessing Linkages Among Landscape Characteristics, Stream Habitat, and Macroinvertebrate Communities in the Idaho Batholith Ecoregion

Hill, Andrew C. 01 December 2010 (has links)
Understanding the composition of lotic communities and the landscape processes and habitat characteristics that shape them is one of the main challenges confronting stream ecologists. In order to better understand the linkages among landscape processes, stream habitat, and biological communities and to understand how accurately our measurements represent important factors influencing biological communities, it is important to test explicit hypotheses regarding these linkages. Increasing our understanding of aquatic communities in a hierarchical context and recognizing how well our measurements represent factors structuring aquatic communities will help managers better evaluate the influence of land management practices on aquatic ecosystems, direct conservation strategies, and lead to better assessments of ecological condition. In Chapter 2, we used spatial data, field-based habitat measurements, and macroinvertebrate community data to 1) examine the influence of landscape processes on two factors of stream habitat; maximum stream temperatures and fine sediment, and to 2) examine how well these landscape and habitat characteristics represent factors influencing gradients in macroinvertebrate community structure. The results of this study showed that spatially derived measurements may be effectively used to test hypotheses regarding landscape influences on stream habitat and that spatial data, used in conjunction with field measurements can provide important information regarding factors influencing gradients in biological communities. In addition, spatially derived measurements may provide the same or additional information regarding influences on community structure as field-based measurements, which suggests that further research should be done to assess how well our field measurements represent factors that are important in shaping stream communities. The objective of Chapter 3 was to compare how well single field measurements and a combination of indicator variables hypothesized to be components of a single ecological processes or concept, known as a latent variable, represent thermal stress and fine sediment influences on macroinvertebrate communities. Results from this study showed that both single and latent variables explained relatively the same amount of variation in macroinvertebrate community structure. This suggests that while latent variables may have a potential to better refine how we represent ecological factors, a better basis for defining a priori hypotheses is needed before these variables can provide any additional information compared to single habitat measurements.

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