Submitted by M?rden L?les (marden.inacio@ufvjm.edu.br) on 2016-07-21T18:35:27Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Diego_dos_Santos_Vieira.pdf: 3296114 bytes, checksum: b738df6d293269169107da9a2300aaa3 (MD5) / Approved for entry into archive by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2016-07-22T17:07:03Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Diego_dos_Santos_Vieira.pdf: 3296114 bytes, checksum: b738df6d293269169107da9a2300aaa3 (MD5) / Made available in DSpace on 2016-07-22T17:07:03Z (GMT). No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Diego_dos_Santos_Vieira.pdf: 3296114 bytes, checksum: b738df6d293269169107da9a2300aaa3 (MD5) Previous issue date: 2015 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES) / Objetivou-se nesta pesquisa investigar a estrutura e padr?o espacial de uma ?rea de floresta periodicamente inund?vel e suas esp?cies dominantes, de modo a contribuir para defini??o de estrat?gias de manejo e conserva??o (?rea I); analisar a estrutura diam?trica, padr?o espacial e m?todos de amostragem para estimar a densidade de Bertholletia excelsa Bonpl. na Regi?o do Baixo Rio Tapaj?s (?rea II). A ?rea I trata-se de um t?pico fragmento de Floresta Ombr?fila Densa Aluvial utilizado para atender os objetivos do cap?tulo 2, enquanto que a ?rea II representa uma Floresta Ombr?fila Densa de Terra Firme utilizada para atingir os objetivos do cap?tulo 3. Na ?rea I foram instaladas 308 unidades amostrais cont?guas de 10 x 10 m, perfazendo uma ?rea amostral de 3,08 ha. Nessas unidades amostrais, todos os indiv?duos com di?metro a 1,30 m de altura do solo (dap) ? 10 cm foram medidos, identificados e referenciados em coordenadas cartesianas (X,Y). Foram calculados os par?metros fitossociol?gicos de densidade, frequ?ncia, domin?ncia e posi??o sociol?gica, e as esp?cies ordenadas segundo o valor de import?ncia ampliado (VIA). A diversidade e o padr?o espacial foram obtidos atrav?s do ?ndice de Shannon-Weaver e fun??o K de Ripley, respectivamente. Na ?rea II, realizou-se um invent?rio de prospec??o com mapeamento de todas as ?rvores de Bertholletia excelsa Bonpl. com dap ? 20 cm, totalizando 1.000 hectares. Para an?lise da estrutura diam?trica foram utilizadas t?cnicas multivariadas: an?lise de agrupamento e discriminante. Utilizaram-se para an?lise de agrupamento a dist?ncia euclidiana e o m?todo de Ward. O padr?o espacial foi definido por meio do emprego da fun??o univariada K de Ripley. Constatado o padr?o espacial, dividiu-se o mapa em unidades de 50 x 50 m, no qual foram simulados diferentes procedimentos de amostragem (Amostragem Casual Simples, Amostragem Sistem?tica e Amostragem Adaptativa em Cluster) com intensidade amostral de 15% e limite de erro de 10%. As compara??es entre os m?todos foram realizadas por meio do teste F de Graybill e an?lises da precis?o e exatid?o obtidas das 30 simula??es realizadas para cada procedimento. Na ?rea I foram registrados 1.022 indiv?duos, distribu?dos em 64 esp?cies arb?reas e 33 fam?lias. A diversidade registrada foi de 3,03 nats.ind-1. As seis esp?cies de maior VIA foram: Campsiandra laurifolia Beth., Hevea brasiliensis (Willd. ex A.Juss.) Mull.Arg, Glicoxylon pedicellatum Ducke, Tetragastris altissima (Aubl.) Swart, Vantanea parviflora Lam. e Mabea caudata Pax & K.Hoffm. O padr?o espacial da comunidade variou em fun??o da dist?ncia considerada, por?m foi predominantemente agregado. Os padr?es espaciais detectados para as esp?cies foram: predominantemente aleat?rio para a esp?cie Vantanea parviflora; completamente agregado para as esp?cies Hevea brasiliensis e Glicoxylon pedicellatum; predominantemente agregado para Campsiandra laurifolia, Tetragastris altissima e Mabea caudata. Na ?rea II, a distribui??o diam?trica de Bertholletia excelsa apresentou clara tend?ncia ? normalidade, enquanto que o padr?o espacial foi predominantemente aleat?rio. Os m?todos de amostragem adaptativos foram ineficiente e subestimam o n?mero de indiv?duos por hectare. Os procedimentos casual simples e sistem?tico podem ser utilizados para invent?rios florestais de Bertholletia excelsa desde que haja um aumento na intensidade amostral para valores acima de 44% da ?rea total. / Disserta??o (Mestrado) ? Programa de P?s-Gradua??o em Ci?ncia Florestal, Universidade Federal dos Vales do Jequitinhonha e Mucuri, 2015. / ABSTRACT The aim of this research was to investigate the structure and space pattern of a periodically floodable forest area and its prevalent species, in such a way to contribute to the definition of handling and conservation strategies (Area I); analyze the diameter structure, spatial pattern and sampling methods to estimate the Bertholletia excelsa Bonpl density in the Lower Tapaj?s River Region (Area II). Area I is a typical fragment of alluvial Dense Ombrophilous Forest used to accord the objectives of chapter 2, while Area II represent a Solid Ground Dense Ombrophilous Forest used to reach the aims of chapter 3. In Area I 308 contiguous sampling units measuring 10 x10 cm were installed, making a sampling area of 3.08ha. In those sampling units, all the individuals with 1.3m height from the soil (dap) > 10cm were measured, identified and referenced in Cartesian coordinates (X,Y). The phytossociological parameters of density, frequency, dominance and sociological position were calculated, and the species were sorted according to the increased importance rate (VIA). The diversity and the spatial pattern were obtained through the index of Shannon-Weaver and K function of Ripley, respectively. In Area II, an inventory of prospection with the mapping of all Bertholletia excels Bonpl. trees with dap > 20cm was made, totalizing 1,000 hectares. For the analysis of the diametrical structure multi-varied techniques were adopted: grouping analysis and discriminating analysis. To the grouping analysis the Euclidian distance and the Ward method were used. The spatial pattern was defined by employing the univariate Ripley K function. After confirming the spatial pattern, the map was divided into 50 x 50 cm units, in which different sampling procedures were simulated (Simple Casual Sampling, Systematic Sampling and Cluster Adaptive Sampling) with 15% sampling intensity and 10 % error limit. The comparisons between the methods were performed by means of Graybill F test and precision analysis obtained from the 30 simulations performed for each procedure. In Area I 1,022 individuals were recorded, they were distributed into 64 arboreal species and 33 families. The recorded diversity was 3.03 nats.ind-1. The six species with greater VIA were: Campsiandra laurifolia Beth., Hevea brasiliensis (Willd. ex A.Juss.) Mull.Arg, Glicoxyson pedicellatum Ducke, Tetragastris altissima (Aubl.) Swart, Vantanea parviflora Lam. And Mabea caudata Pax & K.Hoffm. The spatial pattern of the community has varied because of the considered distance, however it was predominantly aggregated. The spatial patterns detected for the species were: Predominantly random for the Vantanea parviflora; completely aggregated for the Hevea brasiliensis and Glicoxylon pedicellatum species; predominantly aggregated for Camsiandra laurifolia. Tetragastris altissima and Mabea caudata. In Area II, the diametric distribution of Bertholletia excelsa has showed clear tendency to normality, while the spatial pattern was predominantly random. The adaptive sampling methods were inefficient and underestimate the number of individuals per hectare. The simple casual and systematic procedures can be used in Betholletia excelsa forest inventories if there is an increase of sampling intensity for values over 44% the total area.

Submitted by Jos? Henrique Henrique (jose.neves@ufvjm.edu.br) on 2017-03-08T18:19:10Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) diego_santos_vieira.pdf: 3296114 bytes, checksum: b738df6d293269169107da9a2300aaa3 (MD5) / Approved for entry into archive by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2017-03-30T15:17:05Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) diego_santos_vieira.pdf: 3296114 bytes, checksum: b738df6d293269169107da9a2300aaa3 (MD5) / Made available in DSpace on 2017-03-30T15:17:05Z (GMT). No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) diego_santos_vieira.pdf: 3296114 bytes, checksum: b738df6d293269169107da9a2300aaa3 (MD5) Previous issue date: 2015 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES) / Objetivou-se nesta pesquisa investigar a estrutura e padr?o espacial de uma ?rea de floresta periodicamente inund?vel e suas esp?cies dominantes, de modo a contribuir para defini??o de estrat?gias de manejo e conserva??o (?rea I); analisar a estrutura diam?trica, padr?o espacial e m?todos de amostragem para estimar a densidade de Bertholletia excelsa Bonpl. na Regi?o do Baixo Rio Tapaj?s (?rea II). A ?rea I trata-se de um t?pico fragmento de Floresta Ombr?fila Densa Aluvial utilizado para atender os objetivos do cap?tulo 2, enquanto que a ?rea II representa uma Floresta Ombr?fila Densa de Terra Firme utilizada para atingir os objetivos do cap?tulo 3. Na ?rea I foram instaladas 308 unidades amostrais cont?guas de 10 x 10 m, perfazendo uma ?rea amostral de 3,08 ha. Nessas unidades amostrais, todos os indiv?duos com di?metro a 1,30 m de altura do solo (dap) ? 10 cm foram medidos, identificados e referenciados em coordenadas cartesianas (X,Y). Foram calculados os par?metros fitossociol?gicos de densidade, frequ?ncia, domin?ncia e posi??o sociol?gica, e as esp?cies ordenadas segundo o valor de import?ncia ampliado (VIA). A diversidade e o padr?o espacial foram obtidos atrav?s do ?ndice de Shannon-Weaver e fun??o K de Ripley, respectivamente. Na ?rea II, realizou-se um invent?rio de prospec??o com mapeamento de todas as ?rvores de Bertholletia excelsa Bonpl. com dap ? 20 cm, totalizando 1.000 hectares. Para an?lise da estrutura diam?trica foram utilizadas t?cnicas multivariadas: an?lise de agrupamento e discriminante. Utilizaram-se para an?lise de agrupamento a dist?ncia euclidiana e o m?todo de Ward. O padr?o espacial foi definido por meio do emprego da fun??o univariada K de Ripley. Constatado o padr?o espacial, dividiu-se o mapa em unidades de 50 x 50 m, no qual foram simulados diferentes procedimentos de amostragem (Amostragem Casual Simples, Amostragem Sistem?tica e Amostragem Adaptativa em Cluster) com intensidade amostral de 15% e limite de erro de 10%. As compara??es entre os m?todos foram realizadas por meio do teste F de Graybill e an?lises da precis?o e exatid?o obtidas das 30 simula??es realizadas para cada procedimento. Na ?rea I foram registrados 1.022 indiv?duos, distribu?dos em 64 esp?cies arb?reas e 33 fam?lias. A diversidade registrada foi de 3,03 nats.ind-1. As seis esp?cies de maior VIA foram: Campsiandra laurifolia Beth., Hevea brasiliensis (Willd. ex A.Juss.) Mull.Arg, Glicoxylon pedicellatum Ducke, Tetragastris altissima (Aubl.) Swart, Vantanea parviflora Lam. e Mabea caudata Pax & K.Hoffm. O padr?o espacial da comunidade variou em fun??o da dist?ncia considerada, por?m foi predominantemente agregado. Os padr?es espaciais detectados para as esp?cies foram: predominantemente aleat?rio para a esp?cie Vantanea parviflora; completamente agregado para as esp?cies Hevea brasiliensis e Glicoxylon pedicellatum; predominantemente agregado para Campsiandra laurifolia, Tetragastris altissima e Mabea caudata. Na ?rea II, a distribui??o diam?trica de Bertholletia excelsa apresentou clara tend?ncia ? normalidade, enquanto que o padr?o espacial foi predominantemente aleat?rio. Os m?todos de amostragem adaptativos foram ineficiente e subestimam o n?mero de indiv?duos por hectare. Os procedimentos casual simples e sistem?tico podem ser utilizados para invent?rios florestais de Bertholletia excelsa desde que haja um aumento na intensidade amostral para valores acima de 44% da ?rea total. / Disserta??o (Mestrado) ? Programa de P?s-Gradua??o em Ci?ncia Florestal, Universidade Federal dos Vales do Jequitinhonha e Mucuri, 2015. / The aim of this research was to investigate the structure and space pattern of a periodically floodable forest area and its prevalent species, in such a way to contribute to the definition of handling and conservation strategies (Area I); analyze the diameter structure, spatial pattern and sampling methods to estimate the Bertholletia excelsa Bonpl density in the Lower Tapaj?s River Region (Area II). Area I is a typical fragment of alluvial Dense Ombrophilous Forest used to accord the objectives of chapter 2, while Area II represent a Solid Ground Dense Ombrophilous Forest used to reach the aims of chapter 3. In Area I 308 contiguous sampling units measuring 10 x10 cm were installed, making a sampling area of 3.08ha. In those sampling units, all the individuals with 1.3m height from the soil (dap) > 10cm were measured, identified and referenced in Cartesian coordinates (X,Y). The phytossociological parameters of density, frequency, dominance and sociological position were calculated, and the species were sorted according to the increased importance rate (VIA). The diversity and the spatial pattern were obtained through the index of Shannon-Weaver and K function of Ripley, respectively. In Area II, an inventory of prospection with the mapping of all Bertholletia excels Bonpl. trees with dap > 20cm was made, totalizing 1,000 hectares. For the analysis of the diametrical structure multi-varied techniques were adopted: grouping analysis and discriminating analysis. To the grouping analysis the Euclidian distance and the Ward method were used. The spatial pattern was defined by employing the univariate Ripley K function. After confirming the spatial pattern, the map was divided into 50 x 50 cm units, in which different sampling procedures were simulated (Simple Casual Sampling, Systematic Sampling and Cluster Adaptive Sampling) with 15% sampling intensity and 10 % error limit. The comparisons between the methods were performed by means of Graybill F test and precision analysis obtained from the 30 simulations performed for each procedure. In Area I 1,022 individuals were recorded, they were distributed into 64 arboreal species and 33 families. The recorded diversity was 3.03 nats.ind-1. The six species with greater VIA were: Campsiandra laurifolia Beth., Hevea brasiliensis (Willd. ex A.Juss.) Mull.Arg, Glicoxyson pedicellatum Ducke, Tetragastris altissima (Aubl.) Swart, Vantanea parviflora Lam. And Mabea caudata Pax & K.Hoffm. The spatial pattern of the community has varied because of the considered distance, however it was predominantly aggregated. The spatial patterns detected for the species were: Predominantly random for the Vantanea parviflora; completely aggregated for the Hevea brasiliensis and Glicoxylon pedicellatum species; predominantly aggregated for Camsiandra laurifolia. Tetragastris altissima and Mabea caudata. In Area II, the diametric distribution of Bertholletia excelsa has showed clear tendency to normality, while the spatial pattern was predominantly random. The adaptive sampling methods were inefficient and underestimate the number of individuals per hectare. The simple casual and systematic procedures can be used in Betholletia excelsa forest inventories if there is an increase of sampling intensity for values over 44% the total area.