scholarly journals Survey and identification of palm tree species at some ornamental plant stores and nurseries in Ho Chi Minh City and using palm trees in garden design

2021 ◽  
Vol 20 (04) ◽  
pp. 43-52
Author(s):  
Tien. T. M. Duong
Keyword(s):  
Tree Species ◽  
Comparison Method ◽  
Ornamental Plant ◽  
Ho Chi Minh City ◽  
Palm Tree ◽  
Species Classification ◽  
Morphological Comparison ◽  
Garden Design ◽  
Palm Trees ◽  
Palm Species

The study was conducted from June to September 2020 in Ho Chi Minh City. This research aimed to identify the palm species and incorporate them into the garden design. To investigate the species, 85 ornamental plant stores and nurseries were surveyed in Go Vap district, District 7 and at Highway 22. Then, morphological comparison method was used for plant species classification. According to the analyses, this region had 25 species belonging to 22 genera in the Arecaceae family. Twenty two of the 25 species surveyed were imported and 03 being native to the area. The majority (68%) was solitary-stemmed palms, with the remaining 08 species having clustered trunks (32%). To incorporate palm trees into the garden design, Sketch-up, Lumion, and Photoshop software were used.

scholarly journals Survey and analysis of flowers and ornamental plants at some nurseries in Ho Chi Minh City according to criteria for garden design

2020 ◽  
Vol 19 (02) ◽  
pp. 59-68
Author(s):  
Tien T. M. Duong
Keyword(s):  
Species Identification ◽  
Plant Species ◽  
Ornamental Plants ◽  
Ornamental Plant ◽  
Ho Chi Minh City ◽  
Tree Leaves ◽  
Morphological Comparison ◽  
Garden Design ◽  
Dark Green ◽  
Light Green

This research was carried out from October 2017 to October 2018 at some ornamental plant stores and nurseries in district 7, Go Vap district, district 10, Tan Binh district and Binh Chanh district. These are important ornamental plant trading and producing areas in Ho Chi Minh City. This study aimed to identify and analyse the potentials of using ornamental flowers, plants and trees for garden design. The investigation was conducted through questionnaire surveying, morphological comparison, species identification. The collected data was then statistically analysed. We divided these districts by zones and routes for the invesgation. There were 542 identified ornamental plant species in Ho Chi Minh City. According to the analysis of 7 important groups of ornamental plants such as tree trunks, shape of the tree, leaves, and flower groups, the bonsai pots for interior display, with large leaves, dark green to light green colors, large flowers, height from 0.1 to 1 m and no fragrance is common. Briefly, the obtained results would contribute to the design and construction of gardens in Ho Chi Minh City

scholarly journals Herbicide selectivity in the early development of Alexander palm and peach palm

2016 ◽  
Vol 37 (5) ◽  
pp. 2891 ◽  
Author(s):  
Juliana Roberta Gobi Queiroz ◽  
Antonio Carlos Silva Junior ◽  
Maria Renata Rocha Pereira ◽  
Dagoberto Martins
Keyword(s):  
Early Development ◽  
Control Method ◽  
Agricultural Research ◽  
Tree Seedlings ◽  
Palm Tree ◽  
Peach Palm ◽  
Palm Trees ◽  
Randomized Design ◽  
Palm Species ◽  
Plastic Containers

Herbicides are an efficient weed-control method, and herbicide selectivity with regard to palm species is an important subject of agricultural research. Owing to a lack of studies in the literature regarding the use of herbicides on palm trees, especially during the early stages of growth, the present study aimed to evaluate the selectivity of some herbicides during the early development of Alexander palm (Archontophoenix alexandrae) and peach palm (Bactris gasipaes) seedlings. The study was conducted in two seasons in a completely randomized design with eight treatments and four repetitions. The herbicide treatments and dosages (g i.a. ha-1), were as follows: fluazifop-p-butyl (93.8), sethoxydim (184.0), quizalofop-p-ethyl (75.0) clethodim + fenoxaprop-p-ethyl (50.0 + 50.0), fomesafen (225.0), lactofen (168.0), and nicosulfuron (50.0), and a no-herbicide control was included. The seedlings of both types of trees were transplanted into 3.1-L plastic containers. In the first study, herbicide was applied to Alexander palm seedlings of 25–30 cm in height. In the second study, herbicide was applied to Alexander palm seedlings of 30–40 cm in height. Herbicide was applied to peach palm tree seedlings of 40–55 cm in height in both studies. In peach palms only, the herbicides caused slight visible damage during early development. Collectively, the results suggested that all herbicides used are selective and can be used on peach palms during the various stages of development when there are one to four leaves. For Alexander palms, fluazifop-p-butyl, quizalofop-p-ethyl, and lactofen were the only herbicides that did not affect early development during the stages when the plant had one to four leaves.

scholarly journals Eriophyoid mites (Acari: Eriophyoidea) associated with palm trees

Zootaxa ◽  
2007 ◽  
Vol 1389 (1) ◽  
pp. 1-30 ◽  
Author(s):  
DENISE NAVIA ◽  
MANOEL G.C. GONDUM JUNIOR ◽  
GILBERTO J. DE MORAES
Keyword(s):  
Costa Rica ◽  
Tree Species ◽  
Pacific Islands ◽  
Original Data ◽  
Asia Pacific ◽  
Palm Tree ◽  
Palm Trees ◽  
Dichotomous Key ◽  
Eriophyoid Mites ◽  
The World

Information is presented on eriophyoid mites found on palm trees worldwide by different authors, including original data from a recent survey conducted in Brazil, Costa Rica and Mexico. For each species, information on synonymy, locations where it was found on palm trees, palm hosts, and damage are included. Sixty-two eriophyoid species from 31 genera, associated with 54 palm tree species from 25 genera, are listed. A dichotomous key is provided to help in the separation of the reported mites. Four eriophyoid species are reported on palm trees in Europe; 6 in Africa; 17 in Asia, Pacific Islands and Australia; and 40 in the Americas. Four of the reported species belong to Diptilomiopidae, 44 to Eriophyidae and 14 to Phytoptidae. The need for further studies on these mites around the world is discussed.

scholarly journals Mapping Single Palm-Trees Species in Forest Environments with a Deep Convolutional Neural Network

2021 ◽  
Author(s):  
Luciene Sales Dagher Arce ◽  
Mauro dos Santos de Arruda ◽  
Danielle Elis Garcia Furuya ◽  
Lucas Prado Osco ◽  
Ana Paula Marques Ramos ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Convolutional Neural Network ◽  
Tree Species ◽  
State Of The Art ◽  
Palm Tree ◽  
Forest Environment ◽  
Individual Tree ◽  
Palm Trees ◽  
Rgb Images

Accurately mapping individual tree species in densely forested environments is crucial to forest inventory. When considering only RGB images, this is a challenging task for many automatic photogrammetry processes. The main reason for that is the spectral similarity between species in RGB scenes, which can be a hindrance for most automatic methods. State-of-the-art deep learning methods could be capable of identifying tree species with an attractive cost, accuracy, and computational load in RGB images. This paper presents a deep learning-based approach to detect an important multi-use species of palm trees (Mauritia flexuosa; i.e., Buriti) on aerial RGB imagery. In South-America, this palm tree is essential for many indigenous and local communities because of its characteristics. The species is also a valuable indicator of water resources, which comes as a benefit for mapping its location. The method is based on a Convolutional Neural Network (CNN) to identify and geolocate singular tree species in a high-complexity forest environment, and considers the likelihood of every pixel in the image to be recognized as a possible tree by implementing a confidence map feature extraction. This study compares the performance of the proposed method against state-of-the-art object detection networks. For this, images from a dataset composed of 1,394 airborne scenes, where 5,334 palm-trees were manually labeled, were used. The results returned a mean absolute error (MAE) of 0.75 trees and an F1-measure of 86.9%. These results are better than both Faster R-CNN and RetinaNet considering equal experiment conditions. The proposed network provided fast solutions to detect the palm trees, with a delivered image detection of 0.073 seconds and a standard deviation of 0.002 using the GPU. In conclusion, the method presented is efficient to deal with a high-density forest scenario and can accurately map the location of single species like the M flexuosa palm tree and may be useful for future frameworks.

scholarly journals Mauritia flexuosa palm trees airborne mapping with deep convolutional neural network

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Luciene Sales Dagher Arce ◽  
Lucas Prado Osco ◽  
Mauro dos Santos de Arruda ◽  
Danielle Elis Garcia Furuya ◽  
Ana Paula Marques Ramos ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Tree Species ◽  
Single Species ◽  
Absolute Error ◽  
Palm Tree ◽  
Forest Environment ◽  
Individual Tree ◽  
Palm Trees ◽  
Mauritia Flexuosa

AbstractAccurately mapping individual tree species in densely forested environments is crucial to forest inventory. When considering only RGB images, this is a challenging task for many automatic photogrammetry processes. The main reason for that is the spectral similarity between species in RGB scenes, which can be a hindrance for most automatic methods. This paper presents a deep learning-based approach to detect an important multi-use species of palm trees (Mauritia flexuosa; i.e., Buriti) on aerial RGB imagery. In South-America, this palm tree is essential for many indigenous and local communities because of its characteristics. The species is also a valuable indicator of water resources, which comes as a benefit for mapping its location. The method is based on a Convolutional Neural Network (CNN) to identify and geolocate singular tree species in a high-complexity forest environment. The results returned a mean absolute error (MAE) of 0.75 trees and an F1-measure of 86.9%. These results are better than Faster R-CNN and RetinaNet methods considering equal experiment conditions. In conclusion, the method presented is efficient to deal with a high-density forest scenario and can accurately map the location of single species like the M. flexuosa palm tree and may be useful for future frameworks.

scholarly journals Physical and Mechanical Properties of Particleboard Made from Palm Tree Prunings

Forests ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 755 ◽  
Author(s):  
Clara-Eugenia Ferrández-García ◽  
Antonio Ferrández-García ◽  
Manuel Ferrández-Villena ◽  
Juan Hidalgo-Cordero ◽  
Teresa García-Ortuño ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Carbon Fixation ◽  
Mechanical Performance ◽  
Construction Material ◽  
Physical And Mechanical Properties ◽  
Phoenix Dactylifera ◽  
Palm Tree ◽  
Pressing Time ◽  
Palm Trees ◽  
Palm Species

Palm trees are very fast-growing species. Their management produces annually a large amount of biomass that traditionally has been either disposed of at dumping sites or has been burnt onsite. This paper presents an experimental study to obtain particleboard using this biomass in a low energy process (short pressing time and low pressing temperature), using particles of different sizes from the rachis (midrib) of the three palm species most representative of urban gardening in Spain: canary palm (Phoenix canariensis hort. ex Chabaud), date palm (Phoenix dactylifera L.) and washingtonia palm (Washingtonia robusta H. Wendl). Their physical and mechanical properties were tested, and the feasibility of their use as a construction material was evaluated. The results showed that the manufactured particleboard had similar performance to conventional wood particleboard and good thermal insulation properties. Boards made with the canary species showed better mechanical performance. The properties of the particleboard depended on the particle size and species. The use of the pruning waste of palm trees to produce durable materials such as particleboard could be beneficial to the environment since it is a method of carbon fixation, helping to decrease atmospheric pollution and reducing the amount of waste that ends in dumping sites.

scholarly journals What are the species of phorophytes of Vanilla palmarum (Orchidaceae) in Brazil? An assessment of emblematic specificity with palm tree species

Rodriguésia ◽  
2019 ◽  
Vol 70 ◽  
Author(s):  
Felipe Fajardo Villela Antolin Barberena ◽  
Tainan da Silva Sousa ◽  
Bianca de Souza Ambrosio-Moreira ◽  
Nádia Roque
Keyword(s):  
South America ◽  
Tree Species ◽  
Elaeis Guineensis ◽  
Palm Tree ◽  
Amazon Forest ◽  
Ecological Interaction ◽  
Management Actions ◽  
Mauritia Flexuosa ◽  
Palm Species ◽  
Future Management

Abstract Vanilla palmarum is an obligately epiphytic orchid distributed widely throughout South America with emblematic specificity for species of palms. This epiphyte-phorophyte association was examined through the analysis of specimens available via the database of Centro de Referência em Informação Ambiental and from Brazilian herbaria. We recognized nine species as hosts of V. palmarum in Brazil: Acrocomia aculeata, Attalea phalerata, Attalea speciosa, Elaeis guineensis, Mauritia flexuosa, Syagrus cearensis, S. coronata, S. schizophylla, and S. vagans. The most important phorophytes of V. palmarum were found to be A. speciosa (Cerrado), A. phalerata (Pantanal), M. flexuosa (Amazon Forest) and S. coronata (Caatinga). Future management actions must consider the association between V. palmarum and its phorophyte palm species in order to ensure the protection of this ecological interaction.

scholarly journals Sleeping sites of woolly mouse opossum Micoureus demerarae (Thomas) (Didelphimorphia, Didelphidae) in the Atlantic Forest of south-eastern Brazil

2005 ◽  
Vol 22 (4) ◽  
pp. 839-843 ◽  
Author(s):  
Edsel A. Moraes Junior ◽  
Adriano G. Chiarello
Keyword(s):  
Tree Species ◽  
Radio Telemetry ◽  
Palm Tree ◽  
Average Height ◽  
Palm Trees ◽  
Eastern Brazil ◽  
Significant Difference ◽  
Tree Holes ◽  
Sleeping Sites ◽  
Chi2 Test

Micoureus demerarae (Thomas, 1905) is a medium-sized marsupial, around 130 g, with a nocturnal habit and insectivorous-omnivorous diet. From August 2001 to July 2002, seven individuals, three males and four females, were monitored with radio-telemetry in Reserva Biológica União, state of Rio de Janeiro, Brazil, aiming to investigate and describe the sleeping sites used by this marsupial. Fifty eight sleeping sites were located, most of which (70,7%) in palm trees Astrocaryum aculeatissimum (Schott) Burret, and the remaining in other tree species (29,3%), a significant difference (chi2 test; p < 0.005). The preference for this palm tree was not different between sexes (chi2 test; p = 0.920). It was possible to locate the exact place where the animal was hiding in 31 sleeping sites (53.4% of total) in palm trees the animals were always in the junction point of petioles and tree trunks, at an average height of 4.66 ± 1.36 m, while in the remaining tree species, seven individuals were in liana tangles and two in tree holes, at an average height of 10.67 ± 2.75 m. This height difference was significant (Mann Whitney test; p < 0.001). Results indicate that palm trees are important resources for M. demerarae. The observed preference for A. aculeatissimum is probably due to higher protection against predators made by the numerous spines of this palm tree species.

scholarly journals Mauritia Flexuosa Palm-Trees Airborne Mapping with Deep Convolutional Neural Network

2021 ◽  
Author(s):  
Luciene Sales Daguer Arce ◽  
Lucas Prado Osco ◽  
Mauro dos Santos Arruda ◽  
Danielle Ellis Garcia Furuya ◽  
Ana Paula Marques Ramos ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Tree Species ◽  
Single Species ◽  
Absolute Error ◽  
Palm Tree ◽  
Forest Environment ◽  
Individual Tree ◽  
Palm Trees ◽  
Mauritia Flexuosa

Abstract Accurately mapping individual tree species in densely forested environments is crucial to forest inventory. When considering only RGB images, this is a challenging task for many automatic photogrammetry processes. The main reason for that is the spectral similarity between species in RGB scenes, which can be a hindrance for most automatic methods. This paper presents a deep learning-based approach to detect an important multi-use species of palm trees (Mauritia flexuosa; i.e., Buriti) on aerial RGB imagery. In South-America, this palm tree is essential for many indigenous and local communities because of its characteristics. The species is also a valuable indicator of water resources, which comes as a benefit for mapping its location. The method is based on a Convolutional Neural Network (CNN) to identify and geolocate singular tree species in a high-complexity forest environment. The results returned a mean absolute error (MAE) of 0.75 trees and an F1-measure of 86.9%. These results are better than Faster R-CNN and RetinaNet methods considering equal experiment conditions. In conclusion, the method presented is efficient to deal with a high-density forest scenario and can accurately map the location of single species like the M flexuosa palm tree and may be useful for future frameworks.

Site classification in a mixed hardwood forest (Hallerbos, Belgium) with a homogeneous ground vegetation dominated by Hyacinthoides non-scripta (L.) Chouard ex. Rothm.

1994 ◽  
Vol 59 ◽  
Author(s):  
D. Maddelein ◽  
B. Muys ◽  
J. Neirynck ◽  
G. Sioen
Keyword(s):  
Tree Species ◽  
Ph Value ◽  
Soil Analysis ◽  
Base Cation ◽  
Site Quality ◽  
Ground Vegetation ◽  
Site Classification ◽  
Species Classification ◽  
Tree Species Composition ◽  
Understorey Vegetation

The  forest of Halle (560 ha), situated 20 km south of Brussels is covered by a  beech (Fagus sylvatica)  forest, locally mixed with secundary species (Tilia,  Fraxinus, Acer, Quercus,... ). In almost all  stands, herbal vegetation is dominated by bluebell (Hyacinthoides  non-scripta).     The research intended to classify 36 plots of different tree species  composition according to their site quality. Three classification methods  were compared: the first one based on the indicator value of the understorey  vegetation, a second one on the humus morphology and a last one on some  quantitative soil characteristics. According to the plant sociological site  classification, the plots have the same site quality. However, humus forms  differ apparently and significant differences were found in pH value and base  cation saturation of the soil, abundance and biomass of earthworms and  biomass of the ectorganic horizon. Tree species proved to be the main cause  of these differences.     The results illustrate that the herbal vegetation is not always a reliable  indicator of site quality. In the case of a homogeneous vegetation dominated  by one or more indifferent species, classification on humus morphology or  soil analysis are more appropriate. In the forest of Halle, the tree species  is probably the main cause of the observed differences in site quality.

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