Using remote sensing to quantify fishing effort and predict shorebird conflicts in an intertidal fishery.

Accurate estimates of fishing effort are necessary in order to assess interactions with the wider ecosystem and for defining and implementing appropriate management. In intertidal and inshore fisheries in which vessel monitoring systems (VMS) or logbook programmes may not be implemented, quantifying the distribution and intensity of fishing can be difficult. The most obvious effects of bottom-contact fishing are often physical changes to the habitat, such as scarring of the sediment following dredging or trawling. We explored the potential of applying remote sensing techniques to aerial imagery collected by an unmanned aerial vehicle, or drone, in an area of intertidal mud flat (0.52 km2) in Poole Harbour, UK, where shellfish dredging is widely carried out and conflicts between commercial fishing interests and the conservation of internationally important shorebird populations are a concern. Image classification and image texture analysis were performed on imagery collected during the open dredge season in November 2015, in order to calculate measures of fishing intensity across three areas of the harbour subject to different management measures. We found a significant correlation between results of the image texture analysis and official sightings records collected during the dredging season, indicating that this method most accurately quantified dredging disturbance. The relationship between shorebird densities and food intake rates and the results of this analysis method were then investigated to assess the potential for using remotely sensed measures of fishing effort to assess responses of overwintering shorebird populations to intertidal shellfish dredging. Our work highlights the application of such methods, providing a low-cost tool for quantifying fishing effort and predicting wildlife conflicts

Modeling the impact of revegetation on regional water quality: a collective approach to manage the cumulative impacts of mining in the Bowen Basin, Australia

In this paper we quantify the additional water quality benefits that can be achieved through coordinated cumulative impact management. To do this we simulate coordinated and un-coordinated revegetation investments and compare their impact on achieving regional water quality goals. Our results show that coordination between multiple mining companies achieves additional benefits since prioritization is enabled across a broader range of investment opportunities. Additionally, when coordinated investment is permitted beyond the boundaries of coal mining leases, results show that additional benefits are greatly enhanced since these regions provide more rewarding investment opportunities. Results illustrate (a) how regional coordination may influence reputational benefits of investments, and (b) that coordination is beneficial when investment opportunities are unevenly distributed across the landscape. When additional benefits are achievable, we suggest that mining companies should develop collective investment projects with an understanding of how coordination influences project costs. Similarly, investment projects should be developed with an understanding of investment tradeoffs and how these may adversely impact on regional stakeholders and hence industry reputation. The mining industry has significant potential to contribute to regional wellbeing; however, land management policies must be flexible and promote incentives to enable companies to invest beyond compliance

On the bayesianity of pereira-stern tests

Bayesian Inference, Decision Theory, hypothesis test, loss functions, 62C10, 62A15, 62F15, 62F03,

Environmental quality evaluation of lakes in the Rio Grande do Sul coastal plain

The purpose of the present work was to evaluate the environmental quality of Marcelino, Pinguela, Peixoto, Palmital, Malvas and Do Passo lakes, interconnected by canals and located in the district of Osório, RS. In this context, 29 physical and chemical variables were analyzed with sampling carried out in January, May, July and October 1997 to verify the environmental quality of the system and the existence of a gradient of quality. Canonical Analysis was applied to the data of all environmental variables measured, and showed that the lakes had different characteristics as a consequence of the organic pollution received. Marcelino lake received continuous input of organic matter from the sewage treatment works in the town of Osório, whereas Peixoto, Pinguela, Palmital, Malvas and Do Passo lakes resembled other water bodies described in the region, not showing, so far, signs of degradation caused by the input of effluents. Principal Component Analysis selected environmental element were directly linked to organic pollution, that reflected sequential non-recent effects of contamination.<br>O propósito do presente estudo foi avaliar a qualidade ambiental das lagoas Marcelino, Pinguela, Peixoto, Palmital, Malvas e Lagoa do Passo, ecossistemas interligados nesta seqüência por canais e localizados próximos a cidade de Osório, Rio Grande do Sul. Foram analisadas vinte e nove variáveis ambientais físicas e químicas no período de janeiro, maio, julho e outubro de 1997. Constatou-se, através de uma análise de discriminantes canônicos utilizando-se as variáveis ambientais, que as lagoas apresentaram características limnológicas diferenciadas em função do aporte dos efluentes urbanos: a lagoa Marcelino mostrou contaminação orgânica e foi separada das demais lagoas evidenciando um gradiente de qualidade ambiental. Posteriormente, uma análise de componentes principais diferenciou as estações amostrais selecionando descritores ambientais ligados diretamente com a contaminação orgânica e outros que refletem os efeitos seqüenciais e não recentes desta contaminação

Detecção do vírus da cinomose canina por RT-PCR utilizando-se oligonucleotídeos para os genes da fosfoproteína, hemaglutinina e neuraminidase Detection of canine distemper virus by RT-PCR using oligonucleotides targeted to the phosphoprotein, hemagglutinin and neuraminidase genes

Empregou-se a técnica de reação em cadeia pela polimerase precedida de transcrição reversa para detecção do vírus da cinomose canina (CC). Para a padronização da técnica foram selecionados quatro pares de oligonucleotídeos (P1, P2, N1, H1), baseados em seqüências dos genes da fosfoproteína, neuraminidase e hemaglutinina, sendo utilizadas três cepas vacinais de vírus da CC como controles positivos. Foram analisadas três amostras isoladas de cães com cinomose e quatro amostras provenientes de cães com suspeita clínica de cinomose. Não houve amplificação nas amostras com suspeita clínica da doença. Os resultados obtidos com os oligonucleotídeos P1 e N1 foram superiores aos de H1. Os oligonucleotídeos P2 foram considerados inapropriados para a detecção do vírus da CC. Os amplicons obtidos com os oligonucleotídeos P1, N1 e H1 foram clivados com endonucleases de restrição, sendo os perfis das amostras virais comparados aos da amostra vacinal Lederle, utilizada como referência. Um padrão similar de restrição foi observado em todas as amostras analisadas.<br>The reverse transcription-polymerase chain reaction was used to detect canine distemper virus (CDV). Four oligonucleotide pairs were selected (P1, P2, N1, H1), based on the sequences of the phosphoprotein, hemagglutinin and nuraminidase genes for assay standardization, and three CDV vaccine strains were used as positive controls. Three viral isolates from dogs with canine distemper and four samples from animals clinically suspected of distemper were analysed. No amplification was detected in suspected samples. Results obtained by using P1 and N1 oligonucleotides were superior to those with H1 ones. P2 oligonucleotides were considered inadequate for CDV detection. Amplicons resulting from amplification of P1, N1 and H1 oligonucleotides were submitted to cleavage by restriction endonucleases and restriction patterns of viral samples were compared to that of Lederle strain used as reference. A similar restriction pattern was observed in all analysed samples