京都大学 / 0048 / 新制・課程博士 / 博士(農学) / 甲第21164号 / 農博第2290号 / 新制||農||1060(附属図書館) / 学位論文||H30||N5138(農学部図書室) / 京都大学大学院農学研究科地域環境科学専攻 / (主査)教授 舟川 晋也, 教授 縄田 栄治, 教授 北山 兼弘 / 学位規則第4条第1項該当 / Doctor of Agricultural Science / Kyoto University / DGAM

Este trabalho faz parte do projeto Biota/FAPESP, Métodos de Inventário da Biodiversidade de Espécies Arbóreas, e analisou a diferença na estrutura florística entre as áreas estudadas. Na Estação Ecológica de Assis, SP, área de Cerradão, foram amostradas 102 espécies, 72 gêneros e 43 famílias; 67% das espécies foram exclusivas desta fitofisionomia. Na Floresta Estacional Semidecidual da Estação Ecológica dos Caetetus, município de Gália-SP, foram amostradas 208 espécies, 138 gêneros e 49 famílias; sendo 65% das espécies exclusivas. Na Floresta Ombrófila Densa do Parque Estadual de Carlos Botelho, município de São Miguel Arcanjo-SP, foram encontradas 410 espécies, pertencentes a 152 gêneros e 64 famílias; 84% das espécies exclusivas desta fitofisionomia. A Floresta Estacional apresentou maior similaridade com a Floresta Ombrófila do que com o Cerradão. Apesar de apresentar maior número de espécies, a Floresta Ombrófila Densa apresenta concentração de espécies nas famílias Myrtaceae e Lauraceae. Em outra análise foram calculados os índices de distinção taxonômica nas 5 grades amostrais para os métodos de amostragem testados. O método de Bitterlich apresentou tendência nos índices de diversidade e distinção taxonômica, conforme a diversidade taxonômica do sub-bosque. Esses índices apresentaram média independente e variância decrescente com o aumento da amostra. Os índices de distinção taxonômica média e variância da distinção taxonômica média também apresentaram variância decrescente. Porém, a estabilização da média ocorreu com amostras de maior tamanho, principalmente para as parcelas de área fixa na Estação Ecológica dos Caetetus. Na Floresta Ombrófila Densa, a distinção taxonômica média foi menor e a variância da distinção taxonômica média foi maior, devido a alta concentração de espécies de Myrtales e Laurales nesta fitofisionomia. / This research is part of the project Biota / FAPESP, \"Tree Species Biodiversity Inventory Methods, and analised floristic structural differences among three areas. In Assis Ecological Station, Forest Savanna area were sampled 102 species, 72 genus and 43 families, 67% of this species were exclusive of this phytophisiognomy. Semideciduous seasonal forest in the Caetetus Ecological Station, 208 species were sampled, 138 genus and 49 families, with 65% of exclusive species. Rain Forest in the Carlos Botelho State Park, were found 410 species, belonging to 152 genus and 64 families, 84% of exclusive species. The seasonal forest showed greater similarity to the rain forest than the Savanna. In spite of the greater number of species, the Rain Forest presents concentration of species in the Myrtaceae and Lauraceae families. In another analysis were calculated the taxonomic indices in tree species data provided by sampling methods tested in five sampling grids. The Bitterlich sampling method was tendecious in estimates the taxonomic diversity and taxonomic distinctness indices because the taxonomic diversity in the understory. These indices showed average independent and variance decreasing with increasing sample. The average taxonomic distinctness and variation in taxonomic distinctness also showed decreased, but the stabilization of the average occurred with samples of greater size, mainly for fixed area plots at Caetetus Ecological Station. In the Rain Forest the average taxonomic distinctness was lower and the variation of taxonomic distinctness was higher due to high concentration of species of Myrtales and Laurales in this phytophisiognomy.

Este trabalho faz parte do projeto Biota/FAPESP, Métodos de Inventário da Biodiversidade de Espécies Arbóreas, e analisou a diferença na estrutura florística entre as áreas estudadas. Na Estação Ecológica de Assis, SP, área de Cerradão, foram amostradas 102 espécies, 72 gêneros e 43 famílias; 67% das espécies foram exclusivas desta fitofisionomia. Na Floresta Estacional Semidecidual da Estação Ecológica dos Caetetus, município de Gália-SP, foram amostradas 208 espécies, 138 gêneros e 49 famílias; sendo 65% das espécies exclusivas. Na Floresta Ombrófila Densa do Parque Estadual de Carlos Botelho, município de São Miguel Arcanjo-SP, foram encontradas 410 espécies, pertencentes a 152 gêneros e 64 famílias; 84% das espécies exclusivas desta fitofisionomia. A Floresta Estacional apresentou maior similaridade com a Floresta Ombrófila do que com o Cerradão. Apesar de apresentar maior número de espécies, a Floresta Ombrófila Densa apresenta concentração de espécies nas famílias Myrtaceae e Lauraceae. Em outra análise foram calculados os índices de distinção taxonômica nas 5 grades amostrais para os métodos de amostragem testados. O método de Bitterlich apresentou tendência nos índices de diversidade e distinção taxonômica, conforme a diversidade taxonômica do sub-bosque. Esses índices apresentaram média independente e variância decrescente com o aumento da amostra. Os índices de distinção taxonômica média e variância da distinção taxonômica média também apresentaram variância decrescente. Porém, a estabilização da média ocorreu com amostras de maior tamanho, principalmente para as parcelas de área fixa na Estação Ecológica dos Caetetus. Na Floresta Ombrófila Densa, a distinção taxonômica média foi menor e a variância da distinção taxonômica média foi maior, devido a alta concentração de espécies de Myrtales e Laurales nesta fitofisionomia. / This research is part of the project Biota / FAPESP, \"Tree Species Biodiversity Inventory Methods, and analised floristic structural differences among three areas. In Assis Ecological Station, Forest Savanna area were sampled 102 species, 72 genus and 43 families, 67% of this species were exclusive of this phytophisiognomy. Semideciduous seasonal forest in the Caetetus Ecological Station, 208 species were sampled, 138 genus and 49 families, with 65% of exclusive species. Rain Forest in the Carlos Botelho State Park, were found 410 species, belonging to 152 genus and 64 families, 84% of exclusive species. The seasonal forest showed greater similarity to the rain forest than the Savanna. In spite of the greater number of species, the Rain Forest presents concentration of species in the Myrtaceae and Lauraceae families. In another analysis were calculated the taxonomic indices in tree species data provided by sampling methods tested in five sampling grids. The Bitterlich sampling method was tendecious in estimates the taxonomic diversity and taxonomic distinctness indices because the taxonomic diversity in the understory. These indices showed average independent and variance decreasing with increasing sample. The average taxonomic distinctness and variation in taxonomic distinctness also showed decreased, but the stabilization of the average occurred with samples of greater size, mainly for fixed area plots at Caetetus Ecological Station. In the Rain Forest the average taxonomic distinctness was lower and the variation of taxonomic distinctness was higher due to high concentration of species of Myrtales and Laurales in this phytophisiognomy.

Fires occur in most forest reserves in Ghana. However, there is a limited understanding of the fires and their behaviour in the different ecological zones. Therefore, this research was to analyze the spatial and temporal distribution of fires, examine the driving factors, direct and underlying causes and impacts of the fires, determine and compare the fuel dynamics to predict fire behaviour and estimate the effects of fire on carbon stocks in different ecological zones of Ghana. The research used different methodologies including questionnaires, fire records, satellite fire data from MODIS (2001 to 2015) (first approach) and field experiment (second approach). A total of 304 respondents was sampled for eight communities, two communities each around the moist and dry semi-deciduous forest, upland evergreen forest and savanna. The spatial distribution of fire showed a trend along the forest boundaries, open vegetation, degraded areas, human settlements, shrubs, farms, rivers and roads. The temporal trend was significant in the dry forest (435 hotspots), followed by the savanna (229 hotspots), moist forest (76 hotspots) and the least in the evergreen forest (5 hotspots). The fires were observed from August, October to May with the dry forest having the longest seasonality. Sunday, Tuesday and Thursday were the peak days of the detected fire hotspots in the dry, moist and savanna respectively. Most of the fires in the different ecological zones peaked from 13 to 14 pm. The results of the research also revealed that the fires were driven primarily by socioeconomic factors which were supported by environmental, type of vegetation and cultural factors. In all the ecological zones, fires were originating from humans. The study pointed out three categories of human-caused fires through activity (farming), non-activity (carelessness or negligence) and others (unknown causes). The major underlying causes of fire mentioned were the inadequate management of the forest and weak compliance and enforcement of forest laws. All these fires have resulted in several impacts in the various ecological zones. Concerning the fuel dynamics, the total downed woody fuel load in the evergreen forest was found to be higher (228 and 208.4 tonnes per hectare). The litter and duff density (112.2 kilogram per cubic meter) in unburned area and loading (6.3 and 13.5 tonnes per hectare) for both burned and unburned area respectively were significantly greater in the moist forest. Also, the dry forest showed 2.4 tonnes per hectare of herbaceous loading in the burned area. However, fires were predicted to be severe in the savanna regarding the surface rate of spread, flame length and fireline intensity, but with low reaction intensity and heat per unit area. The total amount of aboveground tree carbon, aboveground non-tree and belowground root for both burned and the unburned area varied under the different ecological zones. The highest was seen in the moist forest with the emission of 294 tonnes of carbon per hectare accounting for 82% losses. This research has brought out the current situation of fire in the various ecological zones for the implementation of necessary actions for the future.