Status of the rare palm Bentinckia condapanna Berry in two habitats of Goodrical Reserve Forests; Western Ghats of India

Author(s):  
ES Abhilash ◽  
Brijesh Sathian

Bentinckia condapanna shows more IVI values and there by dominance and ecological stress in both the sites, that is, in sparsely distributed habitats as well as in dominated habitats (Site-II). Major associations /co dominance to Bentinckia condapanna in site -I were the evergreen species like Macaranga peltata, Elaeocarpus tuberculatus, Lannea coromandelica, Schefflera venulosa etc. and for site-II was the secondary species Chionanthus ramiflorus. Higher IVI values for Bentinckia condapanna in both the sites proves the capacity of this species to establish in mono-dominant and co- dominant communities. DOI: http://dx.doi.org/10.3126/apjeesd.v1i1.9503Asia Pacific Journal of Environment Ecology and Sustainable Development 2013; 1: 6-9

Author(s):  
ARR Menon ◽  
ES Abhilash

Phytosociological analysis reveal that Palaquium ellipticum and Knema attenuate are the common dominant species present with their co- dominants such as, Memecylon decanese, Macranga peltata, Vateria indica etc. More than fifty percent of the established seedlings are contributed by the dominant and co- dominant species. Thus there is a gradual shift of natural evergreen species composition to the more light demanding moist deciduous elements. DOI: http://dx.doi.org/10.3126/apjeesd.v1i1.9508Asia Pacific Journal of Environment Ecology and Sustainable Development 2013; 1: 29-31


Author(s):  
ES Abhilash

Analysis of vegetation of Goodrical Reserve forests shows that unlogged area harbours 65 arborescent species of 590 individuals /ha. On the other hand in logged area, number of species were 54 out of 579 individuals /ha. Simpson and Shannon Weiner indices of unlogged and logged area were H’- 3.08, CD-0.092 and H’- 3.60, CD-0.032 respectively. This study also shows that high endemism is seen in Goodrical R.F. and species like, Actinodaphne malabarica, Baccaurea courtallensis, Drypetes elata, Cullenia exarillata, Palaquium ellipticum etc. are quite common. Threatened species like, Anacolosa densiflora and Memecylon subramanii are not common in logged area and common in unlogged area. It is quite probable that these species have been extracted extensively during selection felling, till when the selection felling procedure was completely stopped in 1987, and that is why they are absent in logged area. DOI: http://dx.doi.org/10.3126/apjeesd.v1i1.9505Asia Pacific Journal of Environment Ecology and Sustainable Development 2013; 1: 15-21


2020 ◽  
Vol 1 (1) ◽  
pp. 33-41
Author(s):  
S. A. Saldaña-Mendoza ◽  
J. A. Ascacio-Valdés ◽  
A. S. Palacios-Ponce ◽  
J. C. Contreras-Esquivel ◽  
R. Rodríguez-Herrera ◽  
...  

Ecology ◽  
2011 ◽  
Vol 92 (6) ◽  
pp. 1376-1376 ◽  
Author(s):  
Raphaël Pélissier ◽  
Jean-Pierre Pascal ◽  
N. Ayyappan ◽  
B. R. Ramesh ◽  
S. Aravajy ◽  
...  

2021 ◽  
pp. 111564
Author(s):  
Madhankumar Dhakshinamoorthy ◽  
Ponnusamy SenthilKumar ◽  
Udaya Prakash Nyayiru Kannaian ◽  
Bhuvaneswari Srinivasan ◽  
Sripriya Nannu Shankar ◽  
...  

Landslides ◽  
2021 ◽  
Author(s):  
Sansar Raj Meena ◽  
Omid Ghorbanzadeh ◽  
Cees J. van Westen ◽  
Thimmaiah Gudiyangada Nachappa ◽  
Thomas Blaschke ◽  
...  

AbstractRainfall-induced landslide inventories can be compiled using remote sensing and topographical data, gathered using either traditional or semi-automatic supervised methods. In this study, we used the PlanetScope imagery and deep learning convolution neural networks (CNNs) to map the 2018 rainfall-induced landslides in the Kodagu district of Karnataka state in the Western Ghats of India. We used a fourfold cross-validation (CV) to select the training and testing data to remove any random results of the model. Topographic slope data was used as auxiliary information to increase the performance of the model. The resulting landslide inventory map, created using the slope data with the spectral information, reduces the false positives, which helps to distinguish the landslide areas from other similar features such as barren lands and riverbeds. However, while including the slope data did not increase the true positives, the overall accuracy was higher compared to using only spectral information to train the model. The mean accuracies of correctly classified landslide values were 65.5% when using only optical data, which increased to 78% with the use of slope data. The methodology presented in this research can be applied in other landslide-prone regions, and the results can be used to support hazard mitigation in landslide-prone regions.


2021 ◽  
Vol 43 (1) ◽  
pp. 38-42
Author(s):  
Kavungal Priya ◽  
◽  
Indira . ◽  
Vadakkethil Balakrishnan Sreekumar ◽  
Renuka . ◽  
...  

Calamus brandisii Becc. is one of the endemic slender rattans found in the Western Ghats of India. The genetic diversity of two main populations available in Kerala was investigated using 20 RAPD and 9 ISSR markers. Two parameters viz., gene diversity and genetic diversity within and among populations were analyzed. ISSR analysis showed quite high genetic diversity in Pandimotta compared to Bonacaud population whereas in RAPD markers both these populations were moderately diverse. The percentage of total genetic differentiation (Gst) among two populations is relatively higher than the mean Gst value indicating high genetic diversity within the populations. The genetic distance between these two populations was 0.1739 with ISSR markers and 0.1971 with RAPD markers. Because of its high genetic diversity, Pandimotta population can be treated as an important population of gene diversity with potentially useful genes. This may be included in the high priority reservoir for genetic conservation also.


2018 ◽  
Vol 265 ◽  
pp. 461-469 ◽  
Author(s):  
Joannès Guillemot ◽  
Guerric le Maire ◽  
Manjunatha Munishamappa ◽  
Fabien Charbonnier ◽  
Philippe Vaast

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