Criação de conhecimento em propriedades rurais no Rio Grande do Sul, Brasil e em Queensland, Austrália

A realidade de mudanças no agronegócios requer novas ferramentas gerenciais dos proprietários rurais e o conhecimento ganha importância como fator gerador de diferencial competitivo. O objetivo desta tese é desenvolver um método dinâmico de análise da criação de conhecimento para o elo da produção no agronegócios no Brasil e na Austrália com base no modelo de Nonaka e Takeuchi (1997). A presente pesquisa caracteriza-se por um estudo descritivo de caráter qualitativo, complementada por dados quantitativos. É realizado um estudo de dois casos, utilizando-se de documentação e observação in loco, questionário, entrevista e focus group. As realidades estudadas localizam-se no Rio Grande do Sul, Brasil, e em Queensland, na Austrália. Os dados da pesquisa possibilitaram o desenvolvimento de uma figura representativa do modo como ocorre a criação de conhecimento nas duas realidades. Da figura foi feito um desdobramento e desenvolveu-se um método dinâmico de análise da criação de conhecimento para o elo da produção no agronegócios. Os resultados demonstraram haver significativas similaridades e diferenças entre as realidades, sendo, no Brasil, os produtores rurais inseridos num contexto cooperativo (Cooperativa Tritícola Mista Alto Jacuí – Cotrijal) e, na Austrália, os negócios conduzidos individualmente. Para a ocorrência da criação de conhecimento é necessária a existência de grupos de relacionamento e de certa liderança em nível de propriedade, de comunidades de prática (CoPs) ou da cooperativa. O aspecto cultural e o estilo das relações pareceram exercer forte influência para que as trocas ocorram e para a maior ampliação da atuação das CoPs, as quais podem ser suporte para a criação de conhecimentos.As CoPs não se constituem num processo tecnológico e, sim, num processo social e cognitivo; assim, sua formação nas CoPs não parece depender somente de tecnologia, mas do estabelecimento de relações informais, nas quais as pessoas podem utilizar esses ambientes para definir suas verdades quanto às suas posturas frente aos processos de mudança. A forma de conduzir os negócios pode afetar o modo como se dá a criação de conhecimento, pois, numa propriedade onde as pessoas buscam socializar, questionar e inovar constantemente, evidencia-se haver maior espaço para transformar conhecimento tácito em explícito; assim, pessoas mais abertas ao novo e ao questionamento de suas práticas demonstram apresentar maiores possibilidades para criar um campo de interação para que o conhecimento seja criado. O estudo mostrou que há um grande percurso entre o produtor rural ter conhecimento e a capacidade de torná-lo uma atitude que possibilite trazer bons resultados nos negócios.

HEALTH RISKS TO HUMANS AND DOMESTIC LIVESTOCK POSED BY FERAL PIGS (Sus scrofa) IN NORTH QUEENSLAND

A sample of 608 adult pigs from Cape York and adjacent islands was examined for parasites and their serum tested for livestock diseases associated with the Queensland tropics. Feral pigs from North Queensland pose a significant health threat to humans with the incidence of Spargana (the plerocercoid of Spirometra erinacei) through the consumption of undercooked pork. Meliodosis (Pseudomonas pseudomalleO. Leptospirosis (L. yar. pomona). and Brucellosis (Brucella suis) are capable of infecting humans directly during unhygienic butchering of infected carcasses. In North Queensland, the widespread intermingled distribution of feral pigs and cattle increases the potential for the transmission of Actinobacillus, Leptospirosis, and Brucellosis from feral pigs to cattle. Both Europeans and Aborigines on Cape York also raise wild-caught feral pigs for meat. It is important to realize that parasites and diseases are present in young pigs and that poor husbandry practices increase the risk of infection from several parasites, i.e., Lungworm (Metastrongylus sp.) Stomach worm (Physocephalus sexalatus. Hvostrongvlus rubidus). Thorny headed worm (Macracanthorrhynchus hirudinaceus) and Kidney worm (Stephanurus dentatus). Heavy infection of these parasites reduce growth rates and cause unthriftiness in infected ani¬mals.

Scrupocellaria (Bryozoa: Cheilostomata) from the Queensland coast, with the description of three new species

Among the Scrupocellaria species previously reported from Queensland, three are here redescribed - S. cervicornis, S. curvata and S. diadema; two other species, S. frondis and S. sinuosa, are recorded from the area for the first time; three new species, S. hamata n. sp., S. prolata n. sp. and S. peltata n. sp., are also described, and the remainder are discussed. The need for the re-examination of specimens assigned to this genus is highlighted. The geographic range of some Scrupocellaria species is far more limited than once thought.

Amino acid geochronology of foraminifera test from north Queensland margin

In this study, we demonstrate the utility of amino acid geochronology based on single-foraminiferal tests in Quaternary sediment cores from the Queensland margin, Australia. The large planktonic foraminifer Pulleniatina obliquiloculata is ubiquitous in shelf, slope, and basin sediments of north Queensland as well as pantropical oceans. Fossil tests are resistant to dissolution, and retain substantial concentrations of amino acids (2-4 nmol/mg of shell) over hundreds of thousands of years. Amino acid D and L isomers of aspartic acid (Asp) and glutamic acid (Glu) were separated using reverse phase chromatography, which is sensitive enough to analyze individual foraminifera tests. In all, 462 Pulleniatina tests from 80 horizons in 11 cores exhibit a systematic increase in D/L ratios down core. D/L ratios were determined in 32 samples whose ages are known from AMS 14C analyses. In all cases, the Asp and Glu D/L ratios are concordant with 14C age. D/L ratios of equal-age samples are slightly lower for cores taken from deeper water sites, reflecting the sensitivity of the rate of racemization to bottom water temperature. Beyond the range of 14C dating, previously identified marine oxygen-isotope stage boundaries provide approximate ages of the sediments up to about 500,000 years. For this longer time frame, D/L ratios also vary systematically with isotope-correlated ages. The rate of racemization for Glu and Asp was modeled using power functions. These equations can be used to estimate ages of samples from the Queensland margin extending back at least 500,000 years. This analytical approach provides new opportunities for geochronological control necessary to understand fundamental sedimentary processes affecting a wide range of marine environments.

Time-series of seagrass and land cover maps from 1972 to 2010, in South East Queensland, Australia, with links to GeoTIFFs

Long term global archives of high-moderate spatial resolution, multi-spectral satellite imagery are now readily accessible, but are not being fully utilised by management agencies due to the lack of appropriate methods to consistently produce accurate and timely management ready information. This work developed an object-based remote sensing approach to map land cover and seagrass distribution in an Australian coastal environment for a 38 year Landsat image time-series archive (1972-2010). Landsat Multi-Spectral Scanner (MSS), Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM+) imagery were used without in situ field data input (but still using field knowledge) to produce land and seagrass cover maps every year data were available, resulting in over 60 map products over the 38 year archive. Land cover was mapped annually using vegetation, bare ground, urban and agricultural classes. Seagrass distribution was also mapped annually, and in some years monthly, via horizontal projected foliage cover classes, sand and deep water. Land cover products were validated using aerial photography and seagrass maps were validated with field survey data, producing several measures of accuracy. An average overall accuracy of 65% and 80% was reported for seagrass and land cover products respectively, which is consistent with other studies in the area. This study is the first to show moderate spatial resolution, long term annual changes in land cover and seagrass in an Australian environment, created without the use of in situ data; and only one of a few similar studies globally. The land cover products identify several long term trends; such as significant increases in South East Queensland's urban density and extent, vegetation clearing in rural and rural-residential areas, and inter-annual variation in dry vegetation types in western South East Queensland. The seagrass cover products show that there has been a minimal overall change in seagrass extent, but that seagrass cover level distribution is extremely dynamic; evidenced by large scale migrations of higher seagrass cover levels and several sudden and significant changes in cover level. These mapping products will allow management agencies to build a baseline assessment of their resources, understand past changes and help inform implementation and planning of management policy to address potential future changes.

Composite of coastal seagrass meadows in Queensland, Australia - November 1984 to June 2010

Approximately 18,400 km**2 of seagrass habitat has been mapped within the coastal waters (<15 m) of Queensland (Australia) between November 1984 and June 2010. The total seagrass meadow distribution was calculated by merging maps from 115 separate mapping surveys (varying locations and dates). Due to tropical seagrass dynamism, meadow distribution can change seasonally and between years, and as a consequence, the composite represents the maximum area of seabed where seagrass has been observed/recorded. Mapping survey methodologies followed standardised global seagrass research methods (McKenzie et al. 2001) where the presence of seagrass was determined from in situ visual assessment of the seabed by either divers or drop cameras at GPS marked positions. Seagrass meadow boundaries were determined based on the positions of survey sites and the presence of seagrass, coupled with depth contours and remote sensing (e.g. aerial photography) where available. The merged meadow boundary accuracy was dependent on the original survey maps and varied from 10-100 m. The resulting composite seagrass distribution was saved as an ArcMap polygon shapefile, and projected to Geocentric Datum of Australia GDA94.