Separating reflectance signatures of shrub species - a case study in the Central Greater Caucasus

2015 ◽  
Vol 19 (2) ◽  
pp. 304-315 ◽  
Author(s):  
Anja Magiera ◽  
Hannes Feilhauer ◽  
Nato Tephnadze ◽  
Rainer Waldhardt ◽  
Annette Otte
Keyword(s):  
Shrub Species ◽  
Greater Caucasus

scholarly journals Urbanization may reduce the risk of frost damage to spring flowers: A case study of two shrub species in South Korea

PLoS ONE ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. e0191428 ◽  
Author(s):  
Hyeon-Ju Gim ◽  
Chang-Hoi Ho ◽  
Jinwon Kim ◽  
Eun Ju Lee
Keyword(s):  
South Korea ◽  
Frost Damage ◽  
Shrub Species

scholarly journals Woody neotropical streetscapes: a case study of tree and shrub species richness and composition in Xalapa

2016 ◽  
Vol 22 (1) ◽  
Author(s):  
Ina Falfán ◽  
Ian MacGregor-Fors
Keyword(s):  
Species Richness ◽  
Shrub Species ◽  
Cupressus Lusitanica ◽  
Ficus Benjamina ◽  
Hibiscus Rosa Sinensis ◽  
Buxus Microphylla ◽  
Bougainvillea Glabra

El proceso de urbanización va más allá del remplazo de sistemas preexistentes, transformando el terreno de tal forma que representa amenazas ecológicas preocupantes. En estos nuevos sistemas, la vegetación original es removida o remplazada con una combinación de especies nativas y exóticas. Este trabajo se enfocó en generar una lista de especies actualizada de los árboles y arbustos del paisaje urbano de Xalapa (Veracruz, México), describiendo la proporción de especies nativas y exóticas. Para ello, se utilizó un enfoque de ciudad completa comprendida por una retícula de 106 sitios de muestreo. Se registró un total de 140 especies de árboles y arbustos, de los cuales 32 no habían sido registrados anteriormente para la ciudad. Las especies exóticas representaron más de la mitad de las especies registradas, las cuales en conjunto con las especies nativas estuvieron distribuidas de forma desigual a lo largo y ancho de la ciudad. Las especies más frecuentes fueron: laurel de la India (Ficus benjamina), tulipán chino (Hibiscus rosa-sinensis), buganvilia (Bougainvillea glabra), azalea (Rhododendron sp.), cedro blanco (Cupressus lusitanica) y boj de hoja pequeña (Buxus microphylla). Es notable que los sitios en los que no se registró ninguna especie de árbol o arbusto estuvieron localizados cerca del centro histórico de la ciudad, así como en sus periferias. Los resultados de este trabajo deben ser considerados cuidadosamente, ya que la distribución desigual de la diversidad de plantas en áreas urbanas puede comprometer los beneficios que provee la vegetación a los habitantes, así como sus funciones ecológicas.

scholarly journals Vegetation structure and floristic composition (Case study: Mala Galeh Protected area, Fars Province, Iran)

2020 ◽  
Vol 10 (3) ◽  
pp. 533-544
Author(s):  
Leila Leiili Moradipour ◽  
Hasan Pourbabaei ◽  
Ahmad Hatami
Keyword(s):  
Protected Area ◽  
Floristic Composition ◽  
Fars Province ◽  
Herbaceous Species ◽  
Shrub Species ◽  
Stick Model ◽  
Quercus Brantii ◽  
Asteraceae Family ◽  
Sampling Plot

Identifying flora of each region is fundamental for accomplishing other pure and applied researches in biology. Especially, in the ecological conditions of protected area of Male Gale. Data were collected in 96 sampling plots using systematic­_ random method. The size of sampling plot was 20 m × 50 m for the tree and shrub species, and 8 m × 8 m for herbaceous species. In this study area, 162 species, 122 genera and 43 families were identified. The largest families were Asteraceae (26 species) and Fabaceae (25 species). The frequency of Asteraceae may be due to grazing in some areas of the region. The life form spectrum includes: Hemichryptophytes (14/01 %), Therophytes (65/4 %), Cryptophytes (76/9 %), Chamaephytes (7.1 %) and Phanerophytes (5.8 %). The abundance of Therophytes and Asteraceae family is refered to destruction of forests in the study area. The highest value of the SIV tree and shrub species layer belong to Quercus brantii species and ZIziphus Mummularia. The highest value of the FIV herbaceous layer belong to Asteraceae family. The Species Important Value (SIV) of vegetation cover indicated that tree, shrubs species and herbaceous species had geometric distribution, broken stick model and lognormal distribution in this area.

Terrain impacts the composition of the persistent soil seed bank: A case study of steep high mountain grasslands in the Greater Caucasus, Georgia

2020 ◽  
Vol 50 (1) ◽  
pp. 47-63
Author(s):  
Giorgi Tedoradze ◽  
George Nakhutsrishvili ◽  
Madeleine Seip ◽  
Tim Theissen ◽  
Rainer Waldhardt ◽  
...  
Keyword(s):  
Seed Bank ◽  
Soil Seed Bank ◽  
High Mountain ◽  
Greater Caucasus ◽  
Mountain Grasslands ◽  
Persistent Soil Seed Bank

scholarly journals Classifying Individual Shrub Species in UAV Images—A Case Study of the Gobi Region of Northwest China

2021 ◽  
Vol 13 (24) ◽  
pp. 4995
Author(s):  
Zhipeng Li ◽  
Jie Ding ◽  
Heyu Zhang ◽  
Yiming Feng
Keyword(s):  
Vegetation Type ◽  
Remote Sensing Data ◽  
Principal Component ◽  
Northwest China ◽  
Spectral Indices ◽  
Species Classification ◽  
Shrub Species ◽  
Different Types ◽  
Surrounding Areas

Shrublands are the main vegetation component in the Gobi region and contribute considerably to its ecosystem. Accurately classifying individual shrub vegetation species to understand their spatial distributions and to effectively monitor species diversity in the Gobi ecosystem is essential. High-resolution remote sensing data create vegetation type inventories over large areas. However, high spectral similarity between shrublands and surrounding areas remains a challenge. In this study, we provide a case study that integrates object-based image analysis (OBIA) and the random forest (RF) model to classify shrubland species automatically. The Gobi region on the southern slope of the Tian Shan Mountains in Northwest China was analyzed using readily available unmanned aerial vehicle (UAV) RGB imagery (1.5 cm spatial resolution). Different spectral and texture index images were derived from UAV RGB images as variables for species classification. Principal component analysis (PCA) extracted features from different types of variable sets (original bands, original bands + spectral indices, and original bands + spectral indices + texture indices). We tested the ability of several non-parametric decision tree models and different types of variable sets to classify shrub species. Moreover, we analyzed three main shrubland areas comprising different shrub species and compared the prediction accuracies of the optimal model in combination with different types of variable sets. We found that the RF model could generate higher accuracy compared with the other two models. The best results were obtained using a combination of the optimal variable set and the RF model with an 88.63% overall accuracy and 0.82 kappa coefficient. Integrating OBIA and RF in the species classification process provides a promising method for automatic mapping of individual shrub species in the Gobi region and can reduce the workload of individual shrub species classification.

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