After many years of illegal hunting and commercialization, the populations of the Black caiman (Melanosuchus niger) have been recovering during the last four decades due to the enforcement of a legislation that inhibits their international commercialization. Protecting nesting sites, in which vulnerable life forms (as reproductive females, eggs, and neonates) spend considerable time, is one of the most appropriate conservation actions aimed at preserving caiman populations. Thus, identifying priority areas for this activity should be the primary concern of conservationists. As caiman nesting sites are often found across the areas with difficult access, collecting nest information requires extensive and costly fieldwork efforts. In this context, species distribution modeling can be a valuable tool for predicting the locations of caiman nests in the Amazon basin. In this work, the maximum entropy method (MaxEnt) was applied to model the M. niger nest occurrence in the Mamirauá Sustainable Development Reserve (MSDR) using remotely sensed data. By taking into account the M. niger nesting habitat, the following predictor variables were considered: conditional distance to open water, distance to bare soil, expanded contributing area from drainage, flood duration, and vegetation type. The threshold-independent prediction performance and binary prediction based on the threshold value of 0.9 were evaluated by the area under the curve (AUC) and performing a binomial test, respectively. The obtained results (AUC = 0.967 AE 0.006 and a highly significant binomial test P < 0:01) indicated excellent performance of the proposed model in predicting the M. niger nesting occurrence in the MSDR. The variables related to hydrological regimes (conditional distance to open water, expanded contributing area from drainage, and flood duration) most strongly affected the model performance. MaxEnt can be used for developing community-based sustainable management programs to provide socioeconomic benefits to local communities and promote species conservation in a much larger area within the Amazon basin.
Crocodilians usually remain inside or near their nests during most vulnerable life stages (as eggs, neonates and reproductive females). Thus, protection of nesting sites is one of the most appropriate conservation actions for these species. Nesting sites are often found across areas with difficult access, making remote sensing a valuable tool used to derive environmental variables for characterisation of nesting habitats. In this study, we (i) review crocodilian nesting habitats worldwide to identify key variables for nesting site distribution: proximity to open-water, open-water stability, vegetation, light, precipitation, salinity, soil properties, temperature, topography, and flooding status, (ii) present a summary of the relative importance of these variables for each crocodilian species, (iii) identify knowledge gaps in the use of remote sensing methods currently used to map potential crocodilian nesting sites, and (iv) provide insight into how these remotely sensed variables can be derived to promote research on crocodilian ecology and conservation. We show that few studies have used remote sensing and that the range of images and methods used comprises a tiny fraction of what is available at little to no cost. Finally, we discuss how the combined use of remote sensing methods – optical, radar, and laser – may help overcome difficulties routinely faced in nest mapping (e.g., cloud cover, flooding beneath the forest canopy, or complicated relief) in a relevant way to crocodilians and to other semiaquatic vertebrates in different environments.
Among the tumors affecting the choroid plexus in dogs, the papilloma ranks second place in incidence after cell carcinoma tumors. Presumptive diagnosis can be made through imaging methods, such as computed tomography and magnetic resonance images. Definitive diagnosis of plexus choroid tumor is based on histopathological findings. This report presented the tomographic features of the brain in a 6-year-old intact female Rottweiler with choroid plexus papilloma. The computed tomography showed right lateral ventricle enlargement, midline deviation and an enhanced mass into the postcontrast phase. At necropsy, a mass on the floor of the right lateral ventricle was observed, associated with important ventricle dilatation. The histopathological analysis demonstrated the presence of neoplastic cell forms with papillary projections. The computed tomography proved to be an effective tool in the presumptive diagnosis of this kind of cerebral disorder.
, pelo carinho com que me acolheram na equipe, pelos valiosos ensinamentos, pelas experiências divididas, pelos sonhos compartilhados e por tudo o que sempre me ajudaram nesse percurso... Obrigada, meus amigos, por me mostrarem o valor da verdadeira cooperação, do trabalho em conjunto e da consciência de grupo. Por me ensinarem que juntos podemos ser muito mais! Que reunidos -oferecendo nosso melhor em prol do acerto -, somamos. Porque quando respondemos sincronizados, com ações corretas, dissolvemos as diferenças. E, acima de tudo, permitimos que nosso trabalho se coloque, sem reservas, a serviço da humanidade e do planeta.A meus queridos tios, Célio Siqueira Fernandes e Gina Tereza Ribeiro Fernandes, que me receberam como filha durante todo o tempo em que residi na cidade de São Paulo. Parece que foi ontem, mas já se passaram mais de dez anos... E, este tempo só fez estreitar os nossos laços. Por isso, digo com carinho e reconhecimento filial, que vocês foram -e sempre serão -como verdadeiros pais. Só tenho a agradecer por tudo o que fizeram por mim, em especial: a acolhida paterna e os cuidados que nunca mediram esforços. Ainda que me faltem as palavras, a gratidão, esta, certamente, será sem fim.A meu querido tio João Bosco Ribeiro (in memoriam), um grande incentivador, meu eterno amigo. Obrigada pelas profundas lições que nos deixou com sua história de vida. Uma história escrita com palavras de coragem, honestidade e parceria... A médica veterinária Silvana Maria Unruh pela importante oportunidade de aprendizado ao longo destes anos, pelos conselhos fraternos e pelo incentivo constante na caminhada profissional. Obrigada por me ensinar que o cuidado amoroso para com os animais, a nós confiados,é o que traz uma luminosidade especial ao trabalho empreendido.A médica veterinária Luciane Maria Kanayama pelos preciosos ensinamentos no decorrer destes anos e pelas palavras amigas. Obrigada por me mostrar queé na partilha do conhecimento que se revela o caminho para o bem do todo.Aos técnicos do Serviço de Diagnóstico por Imagem da FMVZ-USP, e também amigos, Benjamin Ribeiro de Souza, Hugo Idalgo, Kátia Margareth Massonetto e Reginaldo Barbosa da Silva, pelo apreço com que sempre me receberam. E pela incansável disposição de me ajudar nos exames radiográficos dos Poodles. Obrigada pela amizade desprendida nestes anos, pelos conhecimentos transmitidos e pela contribuiçãó ımpar na obtenção de imagens radiográficas com qualidade técnica.Ao médico veterinário Guilherme Teixeira Goldfeder pela presteza e competência com que realizou a avaliação cardiológica dos Poodles desta pesquisa. E, por sua valiosa contribuição ao interpretar os resultados dos exames ecocardiográficos desses animais. Obrigada por colaborar prontamente, desde o início, na composição da amostra deste estudo.A médica veterinária e amiga Arine Pellegrino pelo cuidado e profissionalismo com que desenvolveu a avaliação cardiológica dos Poodles deste trabalho. E, por compartilhar conosco pacientes de seu projeto de pesquisa. Obrigada pelos preciosos ensi...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.