Economic valuation of the ecosystem services provided by a protected area in the Brazilian Cerrado: application of the contingent valuation method / Valoração econômica de serviços ecossistêmicos fornecidos por uma área protegida no Cerrado brasileiro: aplicação do método de valoração contingente

Abstract Considering that the economic valuation of ecosystem services is a useful approach to support the conservation of natural areas, we aimed to estimate the monetary value of the benefits provided by a protected area in southeast Brazil, the Serra do Cipó National Park. We calculated the visitor's willingness to pay to conserve the ecosystems of the protected area using the contingent valuation method. Located in a region under intense anthropogenic pressure, the Serra do Cipó National Park is mostly composed of rupestrian grassland ecosystems, in addition to other Cerrado physiognomies. We conducted a survey consisting of 514 interviews with visitors of the region and found that the mean willingness to pay was R$ 7.16 year-1, which corresponds to a total of approximately R$ 716,000.00 year-1. We detected that per capita income, the household size, the level of interest in environmental issues and the place of origin influenced the likelihood that individuals are willing to contribute to the conservation of the park, as well as the value of the stated willingness to pay. This study conveys the importance of conserving rupestrian grassland and other Cerrado physiognomies to decision makers and society.

Resumo Dado que a valoração econômica de serviços ecossistêmicos é uma abordagem útil para incentivar a conservação de áreas naturais, tivemos como objetivo estimar o valor monetário dos benefícios fornecidos por uma área protegida no sudeste do Brasil, o Parque Nacional da Serra do Cipó. Calculamos a disposição a pagar dos visitantes pela conservação dos ecossistemas abrangidos pela área protegida, usando o método da valoração contingente. Localizado em uma região que sofre intensa pressão antrópica, o Parque Nacional da Serra do Cipó é composto majoritariamente por campos rupestres, além de outras fitofisionomias do Cerrado. Realizamos 514 entrevistas com os visitantes da região e encontramos uma disposição a pagar média de R$ 7,16 ano-1, o que corresponde ao total de aproximadamente R$ 716.000,00 ano-1. Detectamos que renda per capita, número de dependentes, nível de interesse por temas relacionados ao meio ambiente e local de origem influenciam a probabilidade de o indivíduo estar disposto a contribuir para a conservação do parque, assim como o valor da disposição a pagar declarada. Este estudo atrai atenção dos tomadores de decisão e da sociedade para a importância de se conservar os campos rupestres e outras fitofisionomias do Cerrado.

Economic valuation of the ecosystem services provided by a protected area in the Brazilian Cerrado: application of the contingent valuation method.

Considering that the economic valuation of ecosystem services is a useful approach to support the conservation of natural areas, we aimed to estimate the monetary value of the benefits provided by a protected area in southeast Brazil, the Serra do Cipó National Park. We calculated the visitor's willingness to pay to conserve the ecosystems of the protected area using the contingent valuation method. Located in a region under intense anthropogenic pressure, the Serra do Cipó National Park is mostly composed of rupestrian grassland ecosystems, in addition to other Cerrado physiognomies. We conducted a survey consisting of 514 interviews with visitors of the region and found that the mean willingness to pay was R$ 7.16 year-1, which corresponds to a total of approximately R$ 716,000.00 year-1. We detected that per capita income, the household size, the level of interest in environmental issues and the place of origin influenced the likelihood that individuals are willing to contribute to the conservation of the park, as well as the value of the stated willingness to pay. This study conveys the importance of conserving rupestrian grassland and other Cerrado physiognomies to decision makers and society.

Clinical outcome of protein-energy malnourished patients in a Brazilian university hospital.

Protein-energy malnutrition (PEM) is a treatable disease with high prevalence among hospitalized patients. It can cause significant increases in the duration of hospitalization and costs. PEM is especially important for health systems since malnourished patients present higher morbidity and mortality. The objective of the present study was to assess the evolution of nutritional status (NS) and the effect of malnutrition on clinical outcome of patients at a public university hospital of high complexity in Brazil. Patients hospitalized in internal medicine (n = 54), oncology (n = 43), and infectious diseases (n = 12) wards were included. NS was evaluated using subjective global assessment up to 48 h after admission, and thereafter at intervals of 4-6 days. On admission, patients (n = 109) were classified as well-nourished (n = 73), moderately malnourished or at risk of malnutrition (n = 28), and severely malnourished (n = 8). During hospitalization, malnutrition developed or worsened in 11 patients. Malnutrition was included in the clinical diagnosis of only 5/36 records (13.9% of the cases, P = 0.000). Nutritional therapy was administered to only 22/36 of the malnourished patients; however, unexpectedly, 6/73 well-nourished patients also received commercial enteral diets. Complications were diagnosed in 28/36 malnourished and 9/73 well-nourished patients (P = 0.000). Death occurred in 12/36 malnourished and 3/73 well-nourished patients (P = 0.001). A total of 24/36 malnourished patients were discharged regardless of NS. In summary, malnutrition remains a real problem, often unrecognized, unappreciated, and only sporadically treated, even though its effects can be detrimental to the clinical course and prognosis of patients. The amount of public and private funds unnecessarily dispersed because of hospital malnutrition is significant.

Clinical outcome of protein-energy malnourished patients in a Brazilian university hospital

Protein-energy malnutrition (PEM) is a treatable disease with high prevalence among hospitalized patients. It can cause significant increases in the duration of hospitalization and costs. PEM is especially important for health systems since malnourished patients present higher morbidity and mortality. The objective of the present study was to assess the evolution of nutritional status (NS) and the effect of malnutrition on clinical outcome of patients at a public university hospital of high complexity in Brazil. Patients hospitalized in internal medicine (n = 54), oncology (n = 43), and infectious diseases (n = 12) wards were included. NS was evaluated using subjective global assessment up to 48 h after admission, and thereafter at intervals of 4-6 days. On admission, patients (n = 109) were classified as well-nourished (n = 73), moderately malnourished or at risk of malnutrition (n = 28), and severely malnourished (n = 8). During hospitalization, malnutrition developed or worsened in 11 patients. Malnutrition was included in the clinical diagnosis of only 5/36 records (13.9% of the cases, P = 0.000). Nutritional therapy was administered to only 22/36 of the malnourished patients; however, unexpectedly, 6/73 well-nourished patients also received commercial enteral diets. Complications were diagnosed in 28/36 malnourished and 9/73 well-nourished patients (P = 0.000). Death occurred in 12/36 malnourished and 3/73 well-nourished patients (P = 0.001). A total of 24/36 malnourished patients were discharged regardless of NS. In summary, malnutrition remains a real problem, often unrecognized, unappreciated, and only sporadically treated, even though its effects can be detrimental to the clinical course and prognosis of patients. The amount of public and private funds unnecessarily dispersed because of hospital malnutrition is significant.

Intercomparison of efficiency transfer software for gamma-ray spectrometry.

The EUROMET project 428 examines efficiency transfer results for Ge gamma-ray spectrometers when the efficiency is known for a reference point source geometry. For this, different methods are used, such as Monte Carlo simulation or semi-empirical computation. The exercise compares the application of these methods to the same selected experimental cases to determine the usage limitations versus the requested accuracy. For carefully examining these results and trying to derive information for improving the computation codes, this study was limited to a few simple cases. The first part concerns the simplest case of geometry transfer, i.e., using point sources for 3 source-to-detector distances: 2, 5 and 20 cm; the second part deals with transfer from point source geometry to cylindrical geometry with three different matrices. The general conclusion is that the deviations between the computed results and the measured efficiencies are mostly within 10%. The quality of the results is rather inhomogeneous and shows that these codes cannot be used directly for metrological purposes. However, most of them are operational for routine measurements when efficiency uncertainties of 5-10% can be sufficient.

Low level gamma-ray germanium-spectrometer to measure very low primordial radionuclide concentrations

A new germanium spectrometer especially suited for large sample measurements is described in detail. It is operated in the Gran Sasso underground laboratory under shielding rock of 3300 m water equivalent, which reduces the muon flux by six orders of magnitude. The integral background counting rate in the energy range from 50 to 2750 keV is about 0.15 min(-1). The low peak count rates of mostly less than 1 count per day together with a relative efficiency of 102% and the high sample capacity makes this spectrometer one of the most sensitive worldwide. Some sample measurements for the solar neutrino experiment BOREXINO and the detector efficiency calibration by the Monte Carlo method are discussed as well.

Towards a proper modeling of detector and source characteristics in Monte Carlo simulations

We performed a systematic study on the influence of different source configurations on the reliability of Monte Carlo calculations for the response of Ge detectors. Calculated full-energy peak efficiencies are compared to experimental values in the energy range 46-1800 keV. Setups with different characteristics are considered, from point-like to volume sources. Among the latter there are filters and aqueous matrices and sediments in Petri boxes or Marinelli beakers. The analysis of the deviations between experimental and calculated results for the different configurations enables us to detect inaccuracies in the description of detector and source characteristics and to improve them. By means of this procedure satisfactory results of the efficiencies were obtained in the whole energy range. For all setups, the deviations average 1.5%, except for the sediment sources where they are up to 3.3%.