Eddy-covariance (EC) CO₂ flux data were analysed and annual carbon (C) balances estimated for a four-year period (2004-2007) following clearcut harvesting of a boreal jack pine stand in northern Saskatchewan. The site was a source of C to the atmosphere for all years, with annual net ecosystem productivity (NEP) increasing from -153 g C m⁻² yr⁻¹ in 2004 to -63 g C m⁻² yr⁻¹ in 2007. This increase was mainly due to gross primary productivity (GPP) increasing significantly from 78 to 200 g C m⁻² yr⁻¹ , while ecosystem respiration (R) increased only slightly from 231 to 263 g C m⁻² yr⁻¹ over the same period. In the 2006 growing season (GS), a field campaign was conducted to investigate the relationships between monthly destructive measurements of leaf area index (LAI) and daily measurements of the normalized difference vegetation index (NDVI) and photosynthetic capacity (Amax). The latter was derived from 5-day, 16-day, 30-day and annual Michaelis-Menten light response analyses using daytime measurements of NEP and incident photosynthetically active radiation. Digital-camera data were used to evaluate the potential of using the rectilinear-lens vegetation index (RLVI) as a surrogate for NDVI of a young forest stand. Results showed that LAI was linearly related to NDVI and RLVI, which was largely the result of changes in the deciduous vegetation component across the GS. These results indicate that RLVI could be used as a surrogate for NDVI up to a GS maximum LAI of 0.91 m2 m⁻² observed in 2006. Measured mean (± 1 S.D.) GS LAI was 0.67 (± 0.24) m² m⁻² in 2006. LAI accounted for the majority of the variability in Amax at the 30-day time scale, while at shorter time scales air temperature was the dominant control. For 2004 to 2007, mean spring estimates of LAI were 0.25, 0.29, 0.38 (compared to 0.40 m² m⁻² from measurements) and 0.41 m² m⁻², respectively. Results suggest that a steady increase in the jack pine LAI component accounted for the annual increases in GPP and hence NEP over the four years.

Eddy-covariance (EC) CO₂ flux data were analysed and annual carbon (C) balances estimated for a four-year period (2004-2007) following clearcut harvesting of a boreal jack pine stand in northern Saskatchewan. The site was a source of C to the atmosphere for all years, with annual net ecosystem productivity (NEP) increasing from -153 g C m⁻² yr⁻¹ in 2004 to -63 g C m⁻² yr⁻¹ in 2007. This increase was mainly due to gross primary productivity (GPP) increasing significantly from 78 to 200 g C m⁻² yr⁻¹ , while ecosystem respiration (R) increased only slightly from 231 to 263 g C m⁻² yr⁻¹ over the same period. In the 2006 growing season (GS), a field campaign was conducted to investigate the relationships between monthly destructive measurements of leaf area index (LAI) and daily measurements of the normalized difference vegetation index (NDVI) and photosynthetic capacity (Amax). The latter was derived from 5-day, 16-day, 30-day and annual Michaelis-Menten light response analyses using daytime measurements of NEP and incident photosynthetically active radiation. Digital-camera data were used to evaluate the potential of using the rectilinear-lens vegetation index (RLVI) as a surrogate for NDVI of a young forest stand. Results showed that LAI was linearly related to NDVI and RLVI, which was largely the result of changes in the deciduous vegetation component across the GS. These results indicate that RLVI could be used as a surrogate for NDVI up to a GS maximum LAI of 0.91 m2 m⁻² observed in 2006. Measured mean (± 1 S.D.) GS LAI was 0.67 (± 0.24) m² m⁻² in 2006. LAI accounted for the majority of the variability in Amax at the 30-day time scale, while at shorter time scales air temperature was the dominant control. For 2004 to 2007, mean spring estimates of LAI were 0.25, 0.29, 0.38 (compared to 0.40 m² m⁻² from measurements) and 0.41 m² m⁻², respectively. Results suggest that a steady increase in the jack pine LAI component accounted for the annual increases in GPP and hence NEP over the four years.

Understanding variations in remote sensing data with illumination and sensor angle changes is important in agricultural crop monitoring. This research investigated field bidirectional reflectance factor (BRF) in crop differentiation and PROSAIL leaf area index (LAI) estimation. BRF and LAI data were collected for planophile and erectophile crops at three growth stages. In the solar principal plane, BRF differed optimally at 860 nm 60 days after planting (DAP) for canola and pea, at 860 nm 45 and 60 DAP for wheat and barley, and at 860 nm and 670 nm 45 and 60 DAP for planophiles versus erectophiles. The field BRF data helped better understand PROSAIL LAI estimation. NDVI was preferred for estimating LAI, however the MTVI2 vegetation index showed high sensitivity to view angles, particularly for erectophiles. The hotspot was important for crop differentiation and LAI. Availability of more along-track, off-nadir looking spaceborne sensors was recommended for agricultural crop monitoring. / xiii, 161 leaves : ill., map ; 29 cm

No description available.

During this study two models were developed to predict growth of Pinus radiata D.Don plantations in Canterbury, New Zealand. The first, CanSPBL(1.2), is a model for whole rotations of stands owned by Selwyn Plantation Limited in Canterbury. The second model, CanSPBL(water) is a hybrid growth model for the Selwyn estate in Canterbury that incorporates an index of root zone water balance over the simulation period. An existing stand growth and yield model CanSPBL was examined using a validation dataset of PSP measurements that were not used in model fitting. Projection bias was shown for mean top height, basal area per hectare, and residual stand stocking particularly for stands at elevations exceeding 450 metres. The new model, CanSPBL(1.2) showed an increase in precision of 4 - 46% over CanSPBL(1.0) at a stand level. The components of the stand model include mean top height, basal area per hectare, stems per hectare, and diameter distribution. The mortality model was made in conjunction with managers at CanSPBL to exclude catastrophic mortality events from model projections. Data used for model fitting was filtered using a mortality index based on the -3/2 power law. An examination of this model with an independent dataset showed little apparent bias. The new model, CanSPBL(water) was developed to include an index of water balance over the simulation period. Water balance estimates were made using a sub model for root zone water balance included in the hybrid physiological model 3-PG (Landsberg and Waring, 1997). The new model showed an increase in precision of 1 - 4% over CanSPBL(1.2) at a stand level (with the exception of the model for maximum diameter which showed a decrease in precision of 0.78%) using climatic inputs that included yearly variation. However the model showed increases of precision from 0.5 to 8% (with the exception of maximum diameter again, showing a decrease in precision of 0.13%) using long term monthly average climatic inputs. The components of the stand model also include mean top height, basal area per hectare, stems per hectare, and diameter distribution. The mortality model was also fitted with a data set filtered using a mortality severity index based on the -3/2 power law to exclude catastrophic mortality events. An examination of this model with an independent dataset showed little apparent bias. Two models to predict a one sided canopy leaf area index (LAI) of radiata pine stands in the Canterbury Plains of New Zealand were also developed. The models were fitted using non-linear least squares regression of LAI estimates against stem measurements and stand characteristics. LAI estimates were derived from digital analysis of fisheye lens photography. The models were kept simple to avoid computational circularity for physiological modelling applications. This study included an objective comparison and validation of a range of model types. The models CANTY (Goulding, 1995), CanSPBL(1.2) (Pinjuv, 2005), CanSPBL-water (Pinjuv, 2005), and 3-PG (Landsberg and Waring, 1997) were compared and validated with the main criteria for comparison being each model s ability to match actual historical measurements of forest growth in an independent data set. Overall, the models CanSPBL(water), and CanSPBL(1.2) performed the best in terms of basal area and mean top height prediction. Both models CanSPBL(water), and CanSPBL(1.2) showed a slightly worse fit in predictions of stocking than did the model CANTY. The hybrid model 3PG showed a better fit for the prediction of basal area than the statistically based model CANTY, but showed a worse fit for the prediction of final stocking than all other models. In terms of distribution of residuals, CanSPBL(1.2) had overall the lowest skewness, kurtosis, and all model parameters tested significant for normality. 3PG performed the worst on average, in terms of the distribution of residuals, and all models tested positively for the normality of residual distribution.

Submitted by Claudia Rocha (claudia.rocha@udesc.br) on 2018-02-09T12:25:49Z No. of bitstreams: 1 PGCA15MA192.pdf: 1575532 bytes, checksum: 64b6fd74ab7e674270e1107fbb51b295 (MD5) / Made available in DSpace on 2018-02-09T12:25:49Z (GMT). No. of bitstreams: 1 PGCA15MA192.pdf: 1575532 bytes, checksum: 64b6fd74ab7e674270e1107fbb51b295 (MD5) Previous issue date: 2015-12-15 / UNIEDU / FUMDES / The pastures regrowth is a continuous event-dependent and leaf area, as this characteristic affects the growth processes. Accordingly, removal of the leaf area (frequency and magnitude) over a period occupancy must provide forage accumulation effects. Thus, the aim of this study was to evaluate the effect of defoliation on concomitant herbage accumulation of grass-Kikuyu swards (Pennisetum clandestinum Hochst. Ex. Chiov.) Under intermittent stocking, testing the hypothesis that there is a reduction in herbage accumulation during the lowering of pastures. The objective of Experiment II was to evaluate the effect of removing leaves fully expanded at the stretching expanding leaves testing the hypothesis that the leaf elongation expanding terminates immediately when all fully expanded leaves are defoliated in oat pastures (Avena strigosa). Treatments consisted of four proportions of defoliation (40, 50, 60 and 70% relative to the initial height) combined at the same height in pre-grazing (20 cm). The experimental design was a randomized complete block design with three replications. Each paddock was busy for heifers and dry cows of the Dutch race in the form of daily strip (2), with periods of occupation of 24 hours and supply of 3 kg DM / 100 kg BW above the desired residue. The rates of growth processes and herbage accumulation were determined by tillers technique marked (20 tillers / track), and the field of readings taken at four moments during the occupation (08:00, 12:00, 18:00, 8:00). In addition, 10 tillers / track were excluded from grazing (using exclusion cages) and evaluated in their morphogenetic rhythms, for the derivation of some data. The variables studied were: elongation rate; proportion of fully expanded leaves and leafless expansion; forage accumulation rate. The effects (linear, quadratic and cubic) of defoliation severity were assessed with the help of orthogonal polynomial contrasts generated by the IML procedure of SAS statistical package for treatments not equidistant. The significance level was 5%. The severity of defoliation targets were not achieved effectively, but a contrast between them was established (40, 46,54% of initial height) having some effect on the viable analyzed (P <0.05). It was found that there was a linear effect between the proportion of leaf area index removed and elongation of leaf blades a day and that consequently the greater leaf area removal negatively affect forage accumulation of pickets with the presence of animals. The percentage of leaf blades bare in treatments with higher proportion kneeling directly affected forage accumulation rate per day. It was concluded that the main determinant that affects the forage accumulation during the occupation period is the rate of IAF removed, and that the occupation reduces forage accumulation. Already with the second experiment it concluded that with the removal of all tiller leaves the fully expanded leaf elongation reduces instantly expanding leaves / A rebrotação de pastos é um evento contínuo e dependente da área foliar, uma vez que tal característica influencia os processos de crescimento de plantas forrageiras. A remoção da área foliar (frequência e magnitude) verificada durante um período de ocupação deve apresentar efeitos no acúmulo de forragem. Sendo assim, o objetivo desse trabalho foi avaliar o efeito da desfolhação no concomitante acúmulo de forragem em pastos de capim-quicuiu (Pennisetum clandestinum Hochst. Ex. Chiov.) sob lotação intermitente (experimento I). Adicionalmente, um ensaio foi realizado para testar o efeito da remoção de folhas totalmente expandidas no alongamento de folhas em expansão (experimento II). Os tratamentos do experimento I consistiram de quatro proporções de desfolhação (40, 50, 60 e 70% em relação à altura inicial) combinadas a uma mesma altura em pré-pastejo (20 cm). Os tratamentos do experimento II basearam-se na desfolhação (10 perfilhos) ou não (10 perfilhos) de todas as folhas totalmente expandidas do perfilho. O delineamento experimental foi de blocos completos casualisados com três repetições. Cada piquete foi ocupado por novilhas e vacas secas da raça Holandês na forma de faixa diária (2), com períodos de ocupação de 24 horas e oferta de 3 kg de MS/100 kg PV acima do resíduo pretendido para o experimento I. As taxas dos processos de crescimento e acúmulo de forragem foram determinadas através da técnica de perfilhos marcados, sendo as leituras de campo realizadas em quatro momentos durante a ocupação (08:00, 12:00, 18:00, 08:00). Adicionalmente, 10 perfilhos/faixa foram excluídos do pastejo (com o uso de gaiolas de exclusão) e avaliados em seus ritmos morfogênicos, para a derivação de alguns dados. As variáveis estudadas foram: taxa de alongamento; proporção de folhas totalmente expandidas e em expansão desfolhadas; taxa de acúmulo de forragem. Os efeitos (linear, quadrático e cúbico) da severidade de desfolhação foram avaliados com o auxílio de contrastes de polinômios ortogonais gerado pelo procedimento IML do pacote estatístico SAS para tratamentos não equidistantes. O nível designificância foi de 5%. As metas de severidade de desfolhação não foram efetivamente alcançadas, mas um contraste entre elas foi criado (40, 46, 48, 54% da altura inicial), apresentando efeito sobre a proporção de folhas em expansão e expandidas desfolhadas (P < 0,05). As variáveis de crescimento e produção não responderam significativamente (P > 0,05) às severidades de desfolhação alcançadas, mas variaram de acordo com a proporção do IAF removido (P < 0,05). Com o aumento da proporção de IAF removido, houve uma redução no alongamento de lâminas foliares e no acúmulo de forragem. No experimento II foi verificado que com a remoção de todas as folhas expandidas, houve uma redução na taxa de alongamento foliar nos primeiros dois dias após sua remoção. É possível concluir com o experimento I que o principal determinante que compromete o acúmulo de forragem durante o período de ocupação é a porcentagem do IAF removido, e que a ocupação reduz o acúmulo de forragem. Já com o experimento II foi possível concluir que com a remoção de todas as folhas completamente expandidas dos perfilhos o alongamento de lâmina foliar de folhas em expansão reduz instantaneamente

A relação entre o microclima e a vegetação tem sido explorada sob os mais variados pontos de vista. Raros são os trabalhos deste tipo, que consideram mais de um tipo de floresta, e em situação natural. Este trabalho avalia de forma detalhada a temperatura do ar, e sua relação com a estrutura da vegetação da maior Unidade de Conservação particular do País, a RPPN SESC Pantanal. Esta Unidade de Conservação se localiza em uma área continental tropical de grande importância para a conservação biológica, o Pantanal de Mato Grosso no centro-oeste do Brasil. Foi mensurada a estrutura de cinco formações florestais (Cambarazal, Mata com Acuri, Mata Densa, Tabocal e Mata Seca) e uma savânica (Campo com Murundus). Com uso de sensores de temperatura acoplados a data loggers e instalados dentro das formações, realizou-se comparações com um campo aberto, que funcionou como controle durante toda a amostragem. Para testar a influência da estrutura da vegetação no microclima, foram realizadas cinco regressões lineares múltiplas, onde a variável dependente era a diferença da temperatura registrada em campo aberto (delta) e de 36 unidades amostrais (6 por formação). Como variáveis preditivas foram empregados dados estruturais levantados nas mesmas. Foram observadas diferenças estruturais significativas entre as seis formações. Através dos dados de vegetação e de temperatura foi possível separar as formações vegetais em três grupos distintos; o das formações semi-abertas (Campo com Murundus, Tabocal e Mata Seca), abertas (campo aberto usado como controle dos dados meteorológicos) e das formações fechadas com coberturas de dosséis densos (Cambarazal, Mata com Acuri e Mata Densa). Foram encontradas diferenças térmicas superiores a 10ºC para todas as formações em relação ao campo aberto (exceto Campo com Murundu). As maiores diferenças foram registradas nos períodos de aquecimento e resfriamento dos dias. A explicação para isto está na grande velocidade de incremento e perda de calor do campo frente às demais formações que apresentaram maior estabilidade térmica. As regressões múltiplas revelaram um poder de explicação entre 43,3 e % e 63,8% e revelaram que o índice de área foliar (LAI) como a variável preditiva mais importantes para variações térmicas. / The relation between microclimate and vegetation has been explored under the most varied points of view. However, studies that consider more than one type of forest are rare, mainly in natural situation. This study evaluates in detail the air temperature and its relation to the vegetation structure of the largest Private Reserve of the Natural Wealth owned by de Social Service of Commerce, the RPPN SESC Pantanal. It is located in a tropical continental area of great importance for biological conservation, the Pantanal of Mato Grosso in mid-west of Brazil. The structure of five types of forest formations (Cambarazal, Mata com Acuri, Mata Densa, Tabocal e Mata Seca) and one savanna (Campo com Murundus) was measured. Temperature sensors coupled to data loggers were installed inside each of the vegetal formations as well as one station at open field to be used as control. To test influence of vegetation structure on microclimate, five multiple linear regressions were performed. The response variable was the temperature difference between recorded in open field and each of the 36 sampling units (6 by formation). Predictive variables were structural data verified at the same places. The difference in vegetation structure between the six types of vegetation was significant. The analysis of vegetation and temperature data allowed to distinguish the vegetal formations in three distinct groups: partialy open (Campo com Murundus, Tabocal e Mata Seca); open areas (open field); closed formations (Cambarazal, Mata com Acuri e Mata Densa). Thermal differences greater than 10°C were found for all vegetal formations when compared to open field (except for Campo com Murundu). The largest differences were recorded during the daily periods of warming (morning) and cooling (afternoon). The reason is the high speed of increment and loss of heat in open field relative to the other formations that showed higher thermal stability. The multiple regressions revealed a power of explanation between 43,3% and 63,8% and revealed the leaf area index (LAI) as the most important predictive variable to the thermal variations.

A relação entre o microclima e a vegetação tem sido explorada sob os mais variados pontos de vista. Raros são os trabalhos deste tipo, que consideram mais de um tipo de floresta, e em situação natural. Este trabalho avalia de forma detalhada a temperatura do ar, e sua relação com a estrutura da vegetação da maior Unidade de Conservação particular do País, a RPPN SESC Pantanal. Esta Unidade de Conservação se localiza em uma área continental tropical de grande importância para a conservação biológica, o Pantanal de Mato Grosso no centro-oeste do Brasil. Foi mensurada a estrutura de cinco formações florestais (Cambarazal, Mata com Acuri, Mata Densa, Tabocal e Mata Seca) e uma savânica (Campo com Murundus). Com uso de sensores de temperatura acoplados a data loggers e instalados dentro das formações, realizou-se comparações com um campo aberto, que funcionou como controle durante toda a amostragem. Para testar a influência da estrutura da vegetação no microclima, foram realizadas cinco regressões lineares múltiplas, onde a variável dependente era a diferença da temperatura registrada em campo aberto (delta) e de 36 unidades amostrais (6 por formação). Como variáveis preditivas foram empregados dados estruturais levantados nas mesmas. Foram observadas diferenças estruturais significativas entre as seis formações. Através dos dados de vegetação e de temperatura foi possível separar as formações vegetais em três grupos distintos; o das formações semi-abertas (Campo com Murundus, Tabocal e Mata Seca), abertas (campo aberto usado como controle dos dados meteorológicos) e das formações fechadas com coberturas de dosséis densos (Cambarazal, Mata com Acuri e Mata Densa). Foram encontradas diferenças térmicas superiores a 10ºC para todas as formações em relação ao campo aberto (exceto Campo com Murundu). As maiores diferenças foram registradas nos períodos de aquecimento e resfriamento dos dias. A explicação para isto está na grande velocidade de incremento e perda de calor do campo frente às demais formações que apresentaram maior estabilidade térmica. As regressões múltiplas revelaram um poder de explicação entre 43,3 e % e 63,8% e revelaram que o índice de área foliar (LAI) como a variável preditiva mais importantes para variações térmicas. / The relation between microclimate and vegetation has been explored under the most varied points of view. However, studies that consider more than one type of forest are rare, mainly in natural situation. This study evaluates in detail the air temperature and its relation to the vegetation structure of the largest Private Reserve of the Natural Wealth owned by de Social Service of Commerce, the RPPN SESC Pantanal. It is located in a tropical continental area of great importance for biological conservation, the Pantanal of Mato Grosso in mid-west of Brazil. The structure of five types of forest formations (Cambarazal, Mata com Acuri, Mata Densa, Tabocal e Mata Seca) and one savanna (Campo com Murundus) was measured. Temperature sensors coupled to data loggers were installed inside each of the vegetal formations as well as one station at open field to be used as control. To test influence of vegetation structure on microclimate, five multiple linear regressions were performed. The response variable was the temperature difference between recorded in open field and each of the 36 sampling units (6 by formation). Predictive variables were structural data verified at the same places. The difference in vegetation structure between the six types of vegetation was significant. The analysis of vegetation and temperature data allowed to distinguish the vegetal formations in three distinct groups: partialy open (Campo com Murundus, Tabocal e Mata Seca); open areas (open field); closed formations (Cambarazal, Mata com Acuri e Mata Densa). Thermal differences greater than 10°C were found for all vegetal formations when compared to open field (except for Campo com Murundu). The largest differences were recorded during the daily periods of warming (morning) and cooling (afternoon). The reason is the high speed of increment and loss of heat in open field relative to the other formations that showed higher thermal stability. The multiple regressions revealed a power of explanation between 43,3% and 63,8% and revealed the leaf area index (LAI) as the most important predictive variable to the thermal variations.

Resumo: Avaliou-se o efeito do IAF residual sob a estrutura do pasto de capim-Tanzânia e o comportamento ingestivo de cabras Boer X Saanen sob lotação intermitente. O experimento foi conduzido no período de fevereiro/2008 a agosto/2008. A área foi subdividida em 18 piquetes de 243 m2 para o estudo de 3 tratamentos dispostos segundo um delineamento em blocos casualizados com 6 repetições para avaliações referentes à gramínea. As avaliações referentes ao comportamento ingestivo das cabras foram realizadas, na mesma área, em 12 piquetes, alocados em blocos casualizados, com 4 repetições. Os tratamentos consistiram em 3 IAF residuais (0,8 - 1,6 - 2,4). O período de descanso foi adotado segundo o critério de 95% de IL ou quando as leituras permanecerem constantes durante 3 semanas consecutivas. Antes do pastejo foi feito a medição da altura da vegetação em 20 pontos distintos e colheu-se 6 amostras ao nível do solo por piquete. Os animais pastejaram até atingir o IAF pré-determinado para o resíduo. Foi aferido o índice de área foliar (IAF) e da interceptação luminosa (IL) com o aparelho analisador de dossel (AccuPAR LP-80 da Decagon - USA). As amostras colhidas foram pesadas e, por conseguinte, retirada um alíquota de 400 g para a separação dos componentes morfológicos (folha, colmo + bainha e material morto), estes foram secados em estufa (55 ºC) por 72h e pesados, a fim de estimar as características estruturais. Avaliou-se a densidade volumétrica da forragem, com o auxílio do "ponto inclinado" e feita as análises laboratoriais a fim de estimar o que os caprinos consumiram durante o pastejo. As amostras analisadas foram colhidas pelo método do pastejo simulado. Também foram mensuradas variáveis que refletem o comportamento ingestivo em pastejo como a massa, a área, a profundidade e a taxa do bocado. No pré-pastejo, os valores de interceptação... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: The effect residual LAI was evaluate under structural characteristics of tanzania grass and the ingestivo behavior by goats Saanen X Boer at rotational stocking. The experiment was conducted in the period on February/2008 to August/2008. The area was divided into 18 paddocks of 243 m2 for the study with 3 treatments arranged in a randomized blocks design with 6 replications for the grasses evaluations. The evaluations relating to the ingestive behavior of the goats were carried out, in the same area, in 12 paddocks, allocated in randomized blocks design with 4 replications. The treatments consisted in 3 levels of residual LAI (0,8 - 1,6 - 2,4). The period of rest was adopted according to the criterion of 95% of LI or when the readability remained constant during 3 consecutive weeks. Before each period of grazing have been done 20 points of height of vegetation were taken, 6 samples at the level of the soil were collected for each paddock . The animals grazed until the the remainder LAI pre-determined. Measurements were made of leaf area index (LAI) and the light interception (LI) with the equipment AccuPAR LP-80 Decagon - USA. Samples were weighed and, 400 g were kept for the separation of morphologic components (leaf, stem lap and dead). These were dried at 55° C for 72h and weighed in order to estimate the herbage mass. Density was evaluated by volume of forage with the inclined point quadrat. Laboratory analyzes were done in order to estimate the goats fed during the grazing and the samples were collected by the handing plucking method. They were measured variables which reflect the ingestive behavior in grazing as the bite mass, area, depth and the rate . Pre-grazing, the values of light interception and leaf area index were not significantly affected by treatments (P>0.05). The values of time of pre grazing of the animals... (Complete abstract click electronic access below) / Orientadora: Ana Cláudia Ruggieri / Coorientadora: Izabelle Auxiliadora Molina de Almeida Teixeira / Banca: Ricardo Andrade Reis / Banca: Carlos Augusto de Miranda Gomide / Mestre

No description available.