|
|
Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
28/02/2024 |
Data da última atualização: |
28/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
TESHOME, M.; BRAZ, E. M.; TORRES, C. M. M. E.; RAPTIS, D. I.; MATTOS, P. P. de; TEMESGEN, H.; RUBIO-CAMACHO, E. A.; SILESHI, G. W. |
Afiliação: |
MINDAYE TESHOME, UNIVERSIDADE FEDERAL DE VIÇOSA; EVALDO MUNOZ BRAZ, CNPF; CARLOS MOREIRA MIQUELINO ELETO TORRES, UNIVERSIDADE FEDERAL DE VIÇOSA; DIMITRIOS IOANNIS RAPTIS, INTERNATIONAL HELLENIC UNIVERSITY; PATRICIA POVOA DE MATTOS, CNPF; HAILEMARIAM TEMESGEN, OREGON STATE UNIVERSITY; ERNESTO ALONSO RUBIO-CAMACHO, INSTITUTO NACIONAL DE INVESTIGACIONES FORESTALES, AGRÍCOLAS Y PECUARIAS; GUDETA WOLDESEMAYAT SILESHI, ADDIS ABABA UNIVERSITY. |
Título: |
Mixed-effects height prediction model for Juniperus procera trees from a Dry Afromontane Forest in Ethiopia. |
Ano de publicação: |
2024 |
Fonte/Imprenta: |
Forests, v. 15, n. 3, 443, p. 1-19, 2024. |
DOI: |
https://doi.org/10.3390/f15030443 |
Idioma: |
Inglês |
Conteúdo: |
Tree height is a crucial variable in forestry science. In the current study, an accurate height prediction model for Juniperus procera Hochst. ex Endl. trees were developed, using a nonlinear mixed-effects modeling approach on 1215 observations from 101 randomly established plots in the Chilimo Dry Afromontane Forest in Ethiopia. After comparing 14 nonlinear models, the most appropriate base model was selected and expanded as a mixed-effects model, using the sample plot as a grouping factor, and adding stand-level variables to increase the model’s prediction ability. Using a completely independent dataset of observations, the best sampling alternative for calibration was determined using goodness-of-fit criteria. Our findings revealed that the Michaelis–Menten model outperformed the other models, while the expansion to the mixed-effects model significantly improved the height prediction. On the other hand, incorporating the quadratic mean diameter and the stem density slightly improved the model’s prediction ability. The fixed-effects of the selected model can also be used to predict the mean height of Juniperus procera trees as a marginal solution. The calibration response revealed that a systematic selection of the three largest-diameter trees at the plot level is the most effective for random effect estimation across new plots or stands. |
Palavras-Chave: |
Altura das árvores; Calibração; Modelo de predição; Native tree; Prediction model; Stand volume; Tree height. |
Thesagro: |
Inventário Florestal. |
Thesaurus Nal: |
Allometry; Calibration; Forest inventory; forestry; Juniperus procera. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1162360/1/Forest-2024-Braz.pdf
|
Marc: |
LEADER 02445naa a2200373 a 4500 001 2162360 005 2024-02-28 008 2024 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3390/f15030443$2DOI 100 1 $aTESHOME, M. 245 $aMixed-effects height prediction model for Juniperus procera trees from a Dry Afromontane Forest in Ethiopia.$h[electronic resource] 260 $c2024 520 $aTree height is a crucial variable in forestry science. In the current study, an accurate height prediction model for Juniperus procera Hochst. ex Endl. trees were developed, using a nonlinear mixed-effects modeling approach on 1215 observations from 101 randomly established plots in the Chilimo Dry Afromontane Forest in Ethiopia. After comparing 14 nonlinear models, the most appropriate base model was selected and expanded as a mixed-effects model, using the sample plot as a grouping factor, and adding stand-level variables to increase the model’s prediction ability. Using a completely independent dataset of observations, the best sampling alternative for calibration was determined using goodness-of-fit criteria. Our findings revealed that the Michaelis–Menten model outperformed the other models, while the expansion to the mixed-effects model significantly improved the height prediction. On the other hand, incorporating the quadratic mean diameter and the stem density slightly improved the model’s prediction ability. The fixed-effects of the selected model can also be used to predict the mean height of Juniperus procera trees as a marginal solution. The calibration response revealed that a systematic selection of the three largest-diameter trees at the plot level is the most effective for random effect estimation across new plots or stands. 650 $aAllometry 650 $aCalibration 650 $aForest inventory 650 $aforestry 650 $aJuniperus procera 650 $aInventário Florestal 653 $aAltura das árvores 653 $aCalibração 653 $aModelo de predição 653 $aNative tree 653 $aPrediction model 653 $aStand volume 653 $aTree height 700 1 $aBRAZ, E. M. 700 1 $aTORRES, C. M. M. E. 700 1 $aRAPTIS, D. I. 700 1 $aMATTOS, P. P. de 700 1 $aTEMESGEN, H. 700 1 $aRUBIO-CAMACHO, E. A. 700 1 $aSILESHI, G. W. 773 $tForests$gv. 15, n. 3, 443, p. 1-19, 2024.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Florestas (CNPF) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
![](/consulta/web/img/deny.png) | Acesso ao texto completo restrito à biblioteca da Embrapa Agrobiologia. Para informações adicionais entre em contato com cnpab.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Agrobiologia. |
Data corrente: |
05/03/2021 |
Data da última atualização: |
11/11/2022 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
ZAMAN, M.; KLEINEIDAM, K.; BAKKEN, L.; BERENDT, J.; BRACKEN, C.; BUTTERBACH-BAHL, K.; CAI, Z.; CHANG, S. X.; CLOUGH, T.; DAWAR, K.; DING, W. X.; DÖRSCH, P.; MARTINS, M. dos R.; ECKHARDT, C.; FIEDLER, T.; FROSCH, T.; GOOPY, J.; GORRES, C. M.; GUPTA, A.; HENJES, S.; HOFMMAN, M. E. G.; HORN, M. A.; JAHANGIR, M. M. R.; JANSEN-WILLEMS, A.; LENHART, K.; HENG, L.; LEWICKA-SZCZEBAK, D.; LUCIC, G.; MERBOLD, L.; MOHN, J.; MOLSTAD, L.; MOSER, G.; MURPHY, P.; SANZ-COBENA, A.; SIMEK, M.; URQUIAGA, S.; WELL, R.; WRAGE-MÖNNIG, N.; ZAMAN, S.; SHANG, J.; MÜLLER, C. |
Título: |
Automated laboratory and field techniques to determine greenhouse gas emissions. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
In: ZAMAN, M.; HENG, L.; Müller, C. (Ed.). Measuring emission of agricultural greenhouse gases and developing mitigation options using nuclear and related techniques: applications of nuclear techniques for GHGs. London: Springer, 2021. Chapter 3. |
Páginas: |
p. 109-139 |
ISBN: |
978-3-030-55396-8 |
DOI: |
https://doi.org/10.1007/978-3-030-55396-8_ |
Idioma: |
Inglês |
Conteúdo: |
Methods and techniques are described for automated measurements of greenhouse gases (GHGs) in both the laboratory and the field. Robotic systems are currently available to measure the entire range of gases evolved from soils including dinitrogen (N2). These systems usually work on an exchange of the atmospheric N2 with helium (He) so that N2 fluxes can be determined. Laboratory systems are often used in microbiology to determine kinetic response reactions via the dynamics of all gaseous N species such as nitric oxide (NO), nitrous oxide (N2O), and N2. Latest He incubation techniques also take plants into account, in order to study the effect. of plant?soil interactions on GHGs and N2 production. |
Thesaurus NAL: |
cattle; climate change; greenhouse gas emissions; urine. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02664naa a2200685 a 4500 001 2130520 005 2022-11-11 008 2021 bl uuuu u00u1 u #d 020 $a978-3-030-55396-8 024 7 $ahttps://doi.org/10.1007/978-3-030-55396-8_$2DOI 100 1 $aZAMAN, M. 245 $aAutomated laboratory and field techniques to determine greenhouse gas emissions.$h[electronic resource] 260 $c2021 300 $ap. 109-139 520 $aMethods and techniques are described for automated measurements of greenhouse gases (GHGs) in both the laboratory and the field. Robotic systems are currently available to measure the entire range of gases evolved from soils including dinitrogen (N2). These systems usually work on an exchange of the atmospheric N2 with helium (He) so that N2 fluxes can be determined. Laboratory systems are often used in microbiology to determine kinetic response reactions via the dynamics of all gaseous N species such as nitric oxide (NO), nitrous oxide (N2O), and N2. Latest He incubation techniques also take plants into account, in order to study the effect. of plant?soil interactions on GHGs and N2 production. 650 $acattle 650 $aclimate change 650 $agreenhouse gas emissions 650 $aurine 700 1 $aKLEINEIDAM, K. 700 1 $aBAKKEN, L. 700 1 $aBERENDT, J. 700 1 $aBRACKEN, C. 700 1 $aBUTTERBACH-BAHL, K. 700 1 $aCAI, Z. 700 1 $aCHANG, S. X. 700 1 $aCLOUGH, T. 700 1 $aDAWAR, K. 700 1 $aDING, W. X. 700 1 $aDÖRSCH, P. 700 1 $aMARTINS, M. dos R. 700 1 $aECKHARDT, C. 700 1 $aFIEDLER, T. 700 1 $aFROSCH, T. 700 1 $aGOOPY, J. 700 1 $aGORRES, C. M. 700 1 $aGUPTA, A. 700 1 $aHENJES, S. 700 1 $aHOFMMAN, M. E. G. 700 1 $aHORN, M. A. 700 1 $aJAHANGIR, M. M. R. 700 1 $aJANSEN-WILLEMS, A. 700 1 $aLENHART, K. 700 1 $aHENG, L. 700 1 $aLEWICKA-SZCZEBAK, D. 700 1 $aLUCIC, G. 700 1 $aMERBOLD, L. 700 1 $aMOHN, J. 700 1 $aMOLSTAD, L. 700 1 $aMOSER, G. 700 1 $aMURPHY, P. 700 1 $aSANZ-COBENA, A. 700 1 $aSIMEK, M. 700 1 $aURQUIAGA, S. 700 1 $aWELL, R. 700 1 $aWRAGE-MÖNNIG, N. 700 1 $aZAMAN, S. 700 1 $aSHANG, J. 700 1 $aMÜLLER, C. 773 $tIn: ZAMAN, M.; HENG, L.; Müller, C. (Ed.). Measuring emission of agricultural greenhouse gases and developing mitigation options using nuclear and related techniques: applications of nuclear techniques for GHGs. London: Springer, 2021. Chapter 3.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Agrobiologia (CNPAB) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Nenhum registro encontrado para a expressão de busca informada. |
|
|