Comparação entre parâmetros abióticos e a estrutura florestal de um fragmento de floresta e um reflorestamento abandonado de eucalipto (Eucalyptus saligna Smith) no parque ecológico da Klabin, Telêmaco Borba/PR

Silva, Valéria Teodoro da; Medri, Paulo Souza; Ferracin, Talita Parpinelli; Bianchini, Edmilson; Torezan, José Marcelo Domingues; Pimenta, José Antônio

doi:10.5433/1679-0367.2010v31n1p37

Cited by 4 publications

(5 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The area has regular rainfall, ranging from 1478 to 1700 mm per year, with average annual humidity between 70% and 75%. The soil is predominantly classified as a dark red latosol with a clayey texture and the relief varies from flat to gently undulating 32 , 35 …”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Estimating stem volume of Eucalyptus sp. and Pinus sp. plantations in Brazil, using Sentinel-1B and ALOS-2/PALSAR-2 data

Diniz

Gama

Reis

et al. 2023

J. Appl. Rem. Sens.

View full text Add to dashboard Cite

.Multifrequency synthetic aperture radar (SAR) data have been applied to discriminate subtle differences in the vegetation and to better characterize its structural properties, since each SAR frequency will interact with the different sections of the vegetation canopy. In this study, our main objective was to evaluate the use of multifrequency Sentinel-1 and ALOS-2/PALSAR-2 data for stem volume estimations in Eucalyptus sp. and Pinus sp. plantations using three different machine learning algorithms: random forest (RF), support vector regression (SVR), and extreme gradient boosting (XGB). Different experiments were carried out using combinations of predictor variables derived from both SAR sensors: backscattering, polarimetric decompositions, and interferometry data, and field data considering specific models for Eucalyptus sp. and Pinus sp. and a generic model comprising all forest plantations data. The machine learning models using predictor variables derived from SAR data achieved moderately high accuracy to predict stem volume, mainly when SAR data were used in combination with stand age (Experiment iv). In the best prediction scenario (Experiment iv), the RF, SVR, and XGB models were able to explain 81.7%, 68.5%, and 81.8% [coefficient of variation (R2) values] of stem volume variability considering the generic models, respectively. Our results pointed out that the RF algorithm showed the best performance in predicting stem volume with significant good results and easier implementation in comparison with the other two algorithms (SVR and XGB).

show abstract

Section: Methodsmentioning

confidence: 99%

“…The soil is predominantly classified as a dark red latosol with a clayey texture and the relief varies from flat to gently undulating. 32,35 The study area comprises Eucalyptus sp. and Pinus sp.…”

Section: Study Areamentioning

confidence: 99%

Estimating stem volume of Eucalyptus sp. and Pinus sp. plantations in Brazil, using Sentinel-1B and ALOS-2/PALSAR-2 data

Diniz

Gama

Reis

et al. 2023

J. Appl. Rem. Sens.

View full text Add to dashboard Cite

show abstract

“…The failure of the root to penetrate the soil during germination can limit seed establishment (McWILLIAMS;DOWLING, 1970). In addition, the leaf litter of eucalyptus includes rhytidomes of the trees, posing a mechanical barrier that compromises the establishment of new plants (SILVA et al, 2010). In broadcast seeding, the greater difficulty in obtaining adequate conditions for seed germination and initial development was demonstrated by the smaller number of seedlings per area (P<0.05), whereas disc harrowing before planting increased the mean number of seedlings per area.…”

Section: Tabela 3 -Composição Botânica (% Do Total De Matéria Seca) Nmentioning

confidence: 99%

Establishment Techniques for Tropical Legumes in the Understory of a Eucalyptus Plantation

et al. 2015

View full text Add to dashboard Cite

-This study evaluated establishment methods for a mixture of herbaceous forage legumes [Centrosema acutifolium, Clitoria ternatea, Pueraria phaseoloides, Stylosanthes Campo Grande (Stylosanthes capitata + S. macrocephala), Calopogonium mucunoides, Lablab purpureus, Arachis pintoi, and Aeschynomene villosa] under the shade of an Eucalyptus grandis plantation submitted to thinning (40%) 8 years after planting in Anhembi, São Paulo (22°40'S, 48°10'W, altitude of 455 m). The experiment started in December 2008 and consisted of the comparison of the following four types of seed incorporation by light disc harrowing: (1) broadcast sowing without seed incorporation; disc harrowing before (2) or after (3) planting, and (4) disc harrowing before and after planting. Ninety days after planting, the number of legume plants/m² and the percentage of ground cover by the plants varied between the treatments tested; however, the treatments had no effect on the dry matter accumulation of forage legumes. Disc harrowing before planting yielded superior results compared to the treatments without disc harrowing and disc harrowing after planting. At the end of the experimental period, the plots contained Arachis, Centrosema, Stylosanthes, and Pueraria. The dry matter accumulated by Centrosema corresponded to 73% of total dry matter yield of the plots. The participation of Arachis, Centrosema and Stylosanthes in final dry matter composition of the plots varied according to establishment method. The advantages of the use of species mixtures rather than monocultures in the understory of forest plantations were discussed.Keywords: Pasture establishment; Agroforestry systems; Silvopastoral systems. TÉCNICAS DE IMPLANTAÇÃO DE LEGUMINOSAS TROPICAIS EM SUB-BOSQUE DE EUCALIPTO

show abstract

“…A diferença estatística da t% da RFA entre as alturas consideradas significa que essas florestas possuem conjunto de espécies vegetais em diferentes estágios de crescimento, formando gradientes verticais com diferentes disponibilidades de fatores ambientais, como a luz (Lüttge, 2008). Esse arranjo, note-se, reflete no resultado complexo e dinâmico das interações fisiológicas e evolutivas entre a vegetação e o ambiente (Silva et al, 2010). Pezzopane et al (2005) encontraram uma transmissividade média de RFA de 8,0% a 1,0 m de altura em um fragmento da Mata Atlântica, denotando a influência dos estratos superiores na disponibilidade energética no sub-bosque da floresta.…”

Section: Transmitância Da Radiação Fotossinteticamente Ativa (Rfa)unclassified

Comparação entre floresta primária e secundária com ocorrência de Attalea maripa (Aubl.) Mart.: estudo de caso na Amazônia Oriental

Araújo¹,

Oliveira²,

Oliveira³

et al. 2012

Floram

View full text Add to dashboard Cite

Foram avaliadas duas florestas naturais com ocorrência de Attalea maripa (Aubl.) Mart., sendo uma primária e outra secundária, em termos de caracterização florística, transmitância da radiação fotossinteticamente ativa e serapilheira, localizadas na comunidade Araipá (4° 0' 46.70" S e 55° 33' 9.35" W), no município de Aveiro, Estado do Pará, ao longo do eixo perpendicular à margem direita do Rio Tapajós. As alterações ecológicas resultantes da cultura agrícola de corte e queima ocasionam um aumento desordenado de indivíduos da A. maripa, funcionando esta, portanto, como uma indicadora de antropização desses ecossistemas.

show abstract

Comparação entre parâmetros abióticos e a estrutura florestal de um fragmento de floresta e um reflorestamento abandonado de eucalipto (Eucalyptus saligna Smith) no parque ecológico da Klabin, Telêmaco Borba/PR

Cited by 4 publications

References 13 publications

Estimating stem volume of Eucalyptus sp. and Pinus sp. plantations in Brazil, using Sentinel-1B and ALOS-2/PALSAR-2 data

Estimating stem volume of Eucalyptus sp. and Pinus sp. plantations in Brazil, using Sentinel-1B and ALOS-2/PALSAR-2 data

Establishment Techniques for Tropical Legumes in the Understory of a Eucalyptus Plantation

Comparação entre floresta primária e secundária com ocorrência de Attalea maripa (Aubl.) Mart.: estudo de caso na Amazônia Oriental

Contact Info

Product

Resources

About