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Registro Completo |
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
26/11/2019 |
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Data da última atualização: |
02/07/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PAPA, D. de A.; ALMEIDA, D. R. A. de; SILVA, C. A.; FIGUEIREDO, E. O.; STARK, S. C.; VALBUENA, R.; RODRIGUEZ, L. C. E.; OLIVEIRA, M. V. N. d'. |
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Afiliação: |
DANIEL DE ALMEIDA PAPA, CPAF-AC; Danilo Roberti Alves de Almeida, ESALQ/USP; Carlos Alberto Silva, University of Maryland, Geographical Sciences Department, USA; EVANDRO ORFANO FIGUEIREDO, CPAF-AC; Scott C. Stark, Michigan State University, East Lansing, MI, USA; Ruben Valbuena, Bangor University, School of Natural Sciences, United Kingdom; Luiz Carlos Estraviz Rodriguez, ESALQ/USP; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC. |
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Título: |
Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Forest Ecology and Management, v. 457, 1176342019, Feb. 2020. |
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ISSN: |
0378-1127 |
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DOI: |
10.1016/j.foreco.2019.117634 |
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Idioma: |
Inglês |
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Conteúdo: |
In high biodiversity areas, such as the Amazon, forest inventory is a challenge due to large variations in vegetation structure and inaccessibility. Capturing the full gradient of variability requires the acquisition of a large number of sample plots. Pre-stratified inventory is an efficient strategy that reduces sampling effort and cost. Low-cost remote sensing techniques may significantly expand pre-stratification capacity; however, the simplest option, satellite optical imagery, cannot detect small variations in primary forests. Alternatively, three-dimensional information obtained from airborne laser scanning (ALS, a.k.a. airborne lidar) has been successfully used to estimate structural parameters in tropical forests. Our objective was to assess to what extent forest plot sampling effort could be reduced, while accurately estimating mean vegetation characteristics in the landscape, by stratifying with ALS structural properties, relative to a random, uniformed conventional approach. The study was developed in an 800-ha area of wet Amazonian forest (Acre, Brazil), including portions of palms, bamboo and dense forest. We estimated relevant structural attributes from ALS: canopy height, openness, rugosity and fractions of leaf area index (LAI) along the vertical profile. We clustered vegetation to define heterogeneity into structural types, employing the Ward method and Euclidean distance. Also, principal component analysis was employed to characterize the groups using field and ALS-derived structural attributes. We simulated sampling intensities to estimate the gain in reducing the field efforts based on pre-stratified and non-stratified forest inventory scenarios. The resulting stratification clearly distinguished the forest?s structural variation gradient and the vegetation density profile. For a fixed uncertainty of 10% in basal area estimation, the ALS-aided stratified inventory reduced the necessary number of field plots by 41%, relative to simple random sampling. The resulting reduction in sampling effort can offset the cost of ALS data collection, significantly enhancing its financial feasibility. In addition, ALS provides broad-coverage quantifications of basal area (or aboveground carbon stock), canopy structure, and accurate terrain characterization, which have an added value for forest management. MenosIn high biodiversity areas, such as the Amazon, forest inventory is a challenge due to large variations in vegetation structure and inaccessibility. Capturing the full gradient of variability requires the acquisition of a large number of sample plots. Pre-stratified inventory is an efficient strategy that reduces sampling effort and cost. Low-cost remote sensing techniques may significantly expand pre-stratification capacity; however, the simplest option, satellite optical imagery, cannot detect small variations in primary forests. Alternatively, three-dimensional information obtained from airborne laser scanning (ALS, a.k.a. airborne lidar) has been successfully used to estimate structural parameters in tropical forests. Our objective was to assess to what extent forest plot sampling effort could be reduced, while accurately estimating mean vegetation characteristics in the landscape, by stratifying with ALS structural properties, relative to a random, uniformed conventional approach. The study was developed in an 800-ha area of wet Amazonian forest (Acre, Brazil), including portions of palms, bamboo and dense forest. We estimated relevant structural attributes from ALS: canopy height, openness, rugosity and fractions of leaf area index (LAI) along the vertical profile. We clustered vegetation to define heterogeneity into structural types, employing the Ward method and Euclidean distance. Also, principal component analysis was employed to characterize the groups using field... Mostrar Tudo |
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Palavras-Chave: |
Acre; Amazonia Occidental; Amazônia Ocidental; Amostragem de campo; Análisis de conglomerados; Análisis estadístico; Características de plantas; Cubierta forestal; Embrapa Acre; Espacios vacíos en el dosel; Field forest inventory; Filed sampling; Índice de área foliar; Manejo florestal; Rio Branco (AC); Western Amazon. |
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Thesagro: |
Administração Florestal; Amostragem; Análise Estatística; Campo Experimental; Estrutura Vegetal; Floresta Tropical; Inventário Florestal; População de Planta; Raio Laser; Sensoriamento Remoto. |
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Thesaurus Nal: |
Canopy gaps; Cluster analysis; Forest canopy; Forest management; Leaf area index; Lidar; Plant characteristics; Remote sensing; Statistical analysis; Tropical forests. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/205509/1/26910.pdf
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Marc: |
LEADER 04340naa a2200661 a 4500
001 2115167
005 2021-07-02
008 2020 bl uuuu u00u1 u #d
022 $a0378-1127
024 7 $a10.1016/j.foreco.2019.117634$2DOI
100 1 $aPAPA, D. de A.
245 $aEvaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring.$h[electronic resource]
260 $c2020
520 $aIn high biodiversity areas, such as the Amazon, forest inventory is a challenge due to large variations in vegetation structure and inaccessibility. Capturing the full gradient of variability requires the acquisition of a large number of sample plots. Pre-stratified inventory is an efficient strategy that reduces sampling effort and cost. Low-cost remote sensing techniques may significantly expand pre-stratification capacity; however, the simplest option, satellite optical imagery, cannot detect small variations in primary forests. Alternatively, three-dimensional information obtained from airborne laser scanning (ALS, a.k.a. airborne lidar) has been successfully used to estimate structural parameters in tropical forests. Our objective was to assess to what extent forest plot sampling effort could be reduced, while accurately estimating mean vegetation characteristics in the landscape, by stratifying with ALS structural properties, relative to a random, uniformed conventional approach. The study was developed in an 800-ha area of wet Amazonian forest (Acre, Brazil), including portions of palms, bamboo and dense forest. We estimated relevant structural attributes from ALS: canopy height, openness, rugosity and fractions of leaf area index (LAI) along the vertical profile. We clustered vegetation to define heterogeneity into structural types, employing the Ward method and Euclidean distance. Also, principal component analysis was employed to characterize the groups using field and ALS-derived structural attributes. We simulated sampling intensities to estimate the gain in reducing the field efforts based on pre-stratified and non-stratified forest inventory scenarios. The resulting stratification clearly distinguished the forest?s structural variation gradient and the vegetation density profile. For a fixed uncertainty of 10% in basal area estimation, the ALS-aided stratified inventory reduced the necessary number of field plots by 41%, relative to simple random sampling. The resulting reduction in sampling effort can offset the cost of ALS data collection, significantly enhancing its financial feasibility. In addition, ALS provides broad-coverage quantifications of basal area (or aboveground carbon stock), canopy structure, and accurate terrain characterization, which have an added value for forest management.
650 $aCanopy gaps
650 $aCluster analysis
650 $aForest canopy
650 $aForest management
650 $aLeaf area index
650 $aLidar
650 $aPlant characteristics
650 $aRemote sensing
650 $aStatistical analysis
650 $aTropical forests
650 $aAdministração Florestal
650 $aAmostragem
650 $aAnálise Estatística
650 $aCampo Experimental
650 $aEstrutura Vegetal
650 $aFloresta Tropical
650 $aInventário Florestal
650 $aPopulação de Planta
650 $aRaio Laser
650 $aSensoriamento Remoto
653 $aAcre
653 $aAmazonia Occidental
653 $aAmazônia Ocidental
653 $aAmostragem de campo
653 $aAnálisis de conglomerados
653 $aAnálisis estadístico
653 $aCaracterísticas de plantas
653 $aCubierta forestal
653 $aEmbrapa Acre
653 $aEspacios vacíos en el dosel
653 $aField forest inventory
653 $aFiled sampling
653 $aÍndice de área foliar
653 $aManejo florestal
653 $aRio Branco (AC)
653 $aWestern Amazon
700 1 $aALMEIDA, D. R. A. de
700 1 $aSILVA, C. A.
700 1 $aFIGUEIREDO, E. O.
700 1 $aSTARK, S. C.
700 1 $aVALBUENA, R.
700 1 $aRODRIGUEZ, L. C. E.
700 1 $aOLIVEIRA, M. V. N. d'
773 $tForest Ecology and Management$gv. 457, 1176342019, Feb. 2020.
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Registro original: |
Embrapa Acre (CPAF-AC) |
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Registro Completo
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Biblioteca(s): |
Embrapa Cocais. |
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Data corrente: |
11/03/2024 |
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Data da última atualização: |
11/03/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
SOUSA, M. K. de C. R. de; MUNIZ, L. C.; APOLINÁRIO, V. X. de O.; COSTA, J. B.; HERRERA-ÂNGULO, A. M.; DUBEUX JÚNIOR, J. C. B.; REIS, V. R. R.; FIGUEIREDO, T. S.; SOUZA, R. A.; CORRÊA, E. G.; COELHO, J. J. |
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Afiliação: |
MARIA KAROLINE DE CARVALHO RODRIGUES DE SOUSA, UEMA; LUCIANO CAVALCANTE MUNIZ, UEMA; VALÉRIA XAVIER DE OLIVEIRA APOLINÁRIO, UEMA; JOAQUIM BEZERRA COSTA, CPACP; ANA MARÍA HERRERA ÂNGULO, Universidad Nacional Experimental del Táchira, Venezuela; JOSÉ CARLOS BATISTA DUBEUX JÚNIOR, University of Florida; VICTOR ROBERTO RIBEIRO REIS, UEMA; THAÍS SANTOS FIGUEIREDO, UEMA; RAABE ALVES SOUZA, UEMA; ERIKA GONÇALVES CORRÊA, UEMA; JANERSON JOSÉ COELHO, UEMA. |
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Título: |
Nitrogen fertilization increased grass litter decomposition in a tropical agroforestry system. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Agroforest Systems, 2024. |
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Páginas: |
14 p. |
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DOI: |
https://doi.org/10.1007/s10457-024-00968-x |
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Idioma: |
Inglês |
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Conteúdo: |
Litter decomposition and livestock excreta are two important sources for replenishing nutrients in the soil of the pastures, and their decomposition rates are afected by their quality, management practices, forage productivity, and biotic and abiotic factors. The objective of this research was to assess the efects of escalating levels of N fertilization (0, 100, 200, and 400 kg N ha−1 yr−1) on litter and fecal decomposition in an agroforestry system comprising palisadegrass [Urochloa brizantha (Hochst. Ex A.Rich.) Stapf. cv. Marandu] intercropped with hybrid eucalyptus trees [Eucalyptus urophylla×Eucalyptus tereticornis], in a two-year feld trial. The experiment was set in a randomized complete block design with four treatments and three repetitions. Litter (0, 4, 8, 16, 32, 64, 128, and 256 days) and cattle excrement samples (0, 4, 8, 16, 32, 64, and 128 days) were incubated on the ground. For forage litter samples, the interaction between N fertilization×year was observed for the decomposition rate (k) of DM (P=0.0014) and OM (P=0.0094). The greatest litter OM disappearance was observed at 400 kg N fertilization ha−1 year−1 (651 g kg−1 DM at 256 days). The interaction between nitrogen fertilizer rate×incubation time, or the isolated efect of the treatment was not observed on fecal decomposition (P>0.05). Higher levels of N fertilization associated with the rainy period resulted in faster decomposition of palisadegrass litter, however, it did not show to have a strong infuence on the excreta decomposition in this agroforestry system. MenosLitter decomposition and livestock excreta are two important sources for replenishing nutrients in the soil of the pastures, and their decomposition rates are afected by their quality, management practices, forage productivity, and biotic and abiotic factors. The objective of this research was to assess the efects of escalating levels of N fertilization (0, 100, 200, and 400 kg N ha−1 yr−1) on litter and fecal decomposition in an agroforestry system comprising palisadegrass [Urochloa brizantha (Hochst. Ex A.Rich.) Stapf. cv. Marandu] intercropped with hybrid eucalyptus trees [Eucalyptus urophylla×Eucalyptus tereticornis], in a two-year feld trial. The experiment was set in a randomized complete block design with four treatments and three repetitions. Litter (0, 4, 8, 16, 32, 64, 128, and 256 days) and cattle excrement samples (0, 4, 8, 16, 32, 64, and 128 days) were incubated on the ground. For forage litter samples, the interaction between N fertilization×year was observed for the decomposition rate (k) of DM (P=0.0014) and OM (P=0.0094). The greatest litter OM disappearance was observed at 400 kg N fertilization ha−1 year−1 (651 g kg−1 DM at 256 days). The interaction between nitrogen fertilizer rate×incubation time, or the isolated efect of the treatment was not observed on fecal decomposition (P>0.05). Higher levels of N fertilization associated with the rainy period resulted in faster decomposition of palisadegrass litter, however, it did not show to have a strong infue... Mostrar Tudo |
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Palavras-Chave: |
Agrosilvopastoral systems; Decomposição fecal; Fertilization; Nutrient cycling. |
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Thesagro: |
Adubação. |
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Thesaurus NAL: |
Eucalyptus; Forage; Trees. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1162722/1/83ca7610-1167-4fed-845b-c71f8d1d36cc.pdf
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Marc: |
LEADER 02613naa a2200361 a 4500
001 2162722
005 2024-03-11
008 2024 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10457-024-00968-x$2DOI
100 1 $aSOUSA, M. K. de C. R. de
245 $aNitrogen fertilization increased grass litter decomposition in a tropical agroforestry system.$h[electronic resource]
260 $c2024
300 $a14 p.
520 $aLitter decomposition and livestock excreta are two important sources for replenishing nutrients in the soil of the pastures, and their decomposition rates are afected by their quality, management practices, forage productivity, and biotic and abiotic factors. The objective of this research was to assess the efects of escalating levels of N fertilization (0, 100, 200, and 400 kg N ha−1 yr−1) on litter and fecal decomposition in an agroforestry system comprising palisadegrass [Urochloa brizantha (Hochst. Ex A.Rich.) Stapf. cv. Marandu] intercropped with hybrid eucalyptus trees [Eucalyptus urophylla×Eucalyptus tereticornis], in a two-year feld trial. The experiment was set in a randomized complete block design with four treatments and three repetitions. Litter (0, 4, 8, 16, 32, 64, 128, and 256 days) and cattle excrement samples (0, 4, 8, 16, 32, 64, and 128 days) were incubated on the ground. For forage litter samples, the interaction between N fertilization×year was observed for the decomposition rate (k) of DM (P=0.0014) and OM (P=0.0094). The greatest litter OM disappearance was observed at 400 kg N fertilization ha−1 year−1 (651 g kg−1 DM at 256 days). The interaction between nitrogen fertilizer rate×incubation time, or the isolated efect of the treatment was not observed on fecal decomposition (P>0.05). Higher levels of N fertilization associated with the rainy period resulted in faster decomposition of palisadegrass litter, however, it did not show to have a strong infuence on the excreta decomposition in this agroforestry system.
650 $aEucalyptus
650 $aForage
650 $aTrees
650 $aAdubação
653 $aAgrosilvopastoral systems
653 $aDecomposição fecal
653 $aFertilization
653 $aNutrient cycling
700 1 $aMUNIZ, L. C.
700 1 $aAPOLINÁRIO, V. X. de O.
700 1 $aCOSTA, J. B.
700 1 $aHERRERA-ÂNGULO, A. M.
700 1 $aDUBEUX JÚNIOR, J. C. B.
700 1 $aREIS, V. R. R.
700 1 $aFIGUEIREDO, T. S.
700 1 $aSOUZA, R. A.
700 1 $aCORRÊA, E. G.
700 1 $aCOELHO, J. J.
773 $tAgroforest Systems, 2024.
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Embrapa Cocais (CPACP) |
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