scholarly journals Estructura poblacional y distribución espacial del roble negro (Colombobalanus excelsa, Fagaceae), especie endémica, en fragmentos de bosque andino colombiano

2018 ◽  
Vol 66 (2) ◽  
pp. 486
Author(s):  
Natalia Aguirre-Acosta ◽  
Jorge Eduardo Botero-Echeverri
Keyword(s):  
Spatial Distribution ◽  
Distribution Patterns ◽  
Extraction Process ◽  
Recovery Phase ◽  
Current Status ◽  
Forest Fragments ◽  
Colombian Andes ◽  
Wood Extraction ◽  
Conservation Plans ◽  
Black Oak

Population structure and spatial distribution of black oak (Colombobalanus excelsa, Fagaceae), endemic species, in Colombian Andean forest fragments. The Colombian Andean forests are recognized for its great biodiversity and endemism; however, they have undergone a severe process of fragmentation due to anthropic factors. As a result, many vulnerable species have been especially affected. That is the case of the black oak (Colombobalanus excelsa (Lozano, Hern. Cam., & Henao) Nixon & Crepet), an endemic and poorly studied species of the Colombian Andes, which has a distribution restricted to only four areas in the country, one of which is the Southeastern Huila region. To examine black oak populations in Serranía Peñas Blancas (Huila), in 2006 we studied the age structure and spatial distribution in plots of 50 x 20 m (1.6 ha) in forest fragments, in southern distribution. In total, 1 228 black oak species were registered among saplings, juvenile and adults, and they have distribution patterns Gamma and Weibull. These results confirm that the majority of the individuals are in the first diametric class. Also, these populations show an added distribution pattern due to the wood extraction process. These results indicate that black oak populations are in a recovery phase after forceful anthropic intervention. Knowing the current status of black oak forests can contribute to the design of effective conservation plans of this species in Colombia. Rev. Biol. Trop. 66(2): 486-494. Epub 2018 June 01. 

scholarly journals Spatial Distribution and Trend Analysis of Current Status of COVID-19 in Nepal and Global Future Preventive Perspectives

2020 ◽  
Author(s):  
Ramesh Raj Pant ◽  
Buddha Bahadur Bahadur ◽  
Kiran Bishwakarma ◽  
Sudip Paudel ◽  
Nashib Pandey ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Spatial Clustering ◽  
Treatment Options ◽  
Research Work ◽  
Distribution Patterns ◽  
Current Status ◽  
Medicine Research ◽  
Master Plans ◽  
Plain Area ◽  
Increased Risk

Abstract Background: Coronavirus disease (COVID-19) is a recently discovered severe and contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and has received worldwide attention. The risk of COVID-19 is serious for the infected persons of chronic diseases as well as vulnerable populations including elder group. Still, the present scenario of scarcity of effective treatment options and limited recovery rate of ongoing treatment are prevailed in Nepal. This study aims to analyze the spatial distribution and trends of COVID-19 with the help of geographic information system (GIS) software and outlook future preventive perspectives.Methods: In this research work, we used GIS tool ArcGIS 10.4.1 to map the distribution patterns of population of COVID-19 cases. Federal, provincial and district level daily cases data of COVID-19 confirmed, cured and death from 23rd January to 13th July 2020 were obtained from the Ministry of Health and Population (MoHP), Government of Nepal. In addition, we reviewed several peer-reviewed research papers to summarize the global scenarios and preventive perspectives on COVID-19.Results: In context to Nepal SARS-CoV-2 has spread throughout the country infecting 16,945 persons in all 77 districts, as of 13th July, 2020. Confirmed, cured and death cases experienced an upward trend up to 1st July, 2020 followed by downward trend as of 13th July, 2020. Over 70% of total confirmed cases of reported COVID-19 patients were from the lowland-plain area. Spatial clustering suggested that provinces 2 and 5 were at potentially increased risk of COVID-19, and Province 1 and Bagmati province could be grouped as future "hot spots". In addition, we proposed four strategies namely, identification of the key medical and social elements, discovery and development of treatment options for a future pandemic, investing in ethno-medicine research and epidemic preparedness of health care system to decrease the efficacy of calamities of future pandemics.Conclusion: Our study demonstrates one of the best ways to protect; control and sluggish transmission of SARS-CoV-2 could be achieved by monitoring active ties using GIS spatial analysis. And, the severity of future pandemic could be minimized by integrative action on the abovementioned four different preventive master plans.

Modeling spatial distribution of the unionid mussels and the core-satellite hypothesis

1998 ◽  
Vol 38 (7) ◽  
pp. 73-79 ◽  
Author(s):  
Hooi-Ling Lee ◽  
Donald DeAngelis ◽  
Hock-Lye Koh
Keyword(s):  
Spatial Distribution ◽  
Life Cycle ◽  
Success Rate ◽  
Distribution Patterns ◽  
Fish Host ◽  
Limited Movement ◽  
Unionid Mussels ◽  
Species Characteristics ◽  
Major Factors ◽  
Fish Hosts

This paper discusses the spatial distribution patterns of the various species of the Unionid mussels as functions of their respective life-cycle characteristics. Computer simulations identify two life-cycle characteristics as major factors governing the abundance of a species, namely the movement range of their fish hosts and the success rate of the parasitic larval glochidia in finding fish hosts. Core mussels species have fish hosts with large movement range to disperse the parasitic larval glochidia to achieve high levels of abundance. Species associated with fish host of limited movement range require high success rate of finding fish host to achieve at least an intermediate level of abundance. Species with low success rate of finding fish hosts coupled with fish hosts having limited movement range exhibit satellite species characteristics, namely rare in numbers and sparse in distributions.

scholarly journals Spatio-temporal distribution patterns of Plutella xylostella (Lepidoptera: Plutellidae) in a fine-scale agricultural landscape based on geostatistical analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jian-Yu Li ◽  
Yan-Ting Chen ◽  
Meng-Zhu Shi ◽  
Jian-Wei Li ◽  
Rui-Bin Xu ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Plutella Xylostella ◽  
Agricultural Landscape ◽  
Seasonal Pattern ◽  
Distribution Patterns ◽  
Geostatistical Analysis ◽  
Distribution Model ◽  
Detailed Knowledge ◽  
Fine Scale ◽  
Spatio Temporal

AbstractA detailed knowledge on the spatial distribution of pests is crucial for predicting population outbreaks or developing control strategies and sustainable management plans. The diamondback moth, Plutella xylostella, is one of the most destructive pests of cruciferous crops worldwide. Despite the abundant research on the species’s ecology, little is known about the spatio-temporal pattern of P. xylostella in an agricultural landscape. Therefore, in this study, the spatial distribution of P. xylostella was characterized to assess the effect of landscape elements in a fine-scale agricultural landscape by geostatistical analysis. The P. xylostella adults captured by pheromone-baited traps showed a seasonal pattern of population fluctuation from October 2015 to September 2017, with a marked peak in spring, suggesting that mild temperatures, 15–25 °C, are favorable for P. xylostella. Geostatistics (GS) correlograms fitted with spherical and Gaussian models showed an aggregated distribution in 21 of the 47 cases interpolation contour maps. This result highlighted that spatial distribution of P. xylostella was not limited to the Brassica vegetable field, but presence was the highest there. Nevertheless, population aggregations also showed a seasonal variation associated with the growing stage of host plants. GS model analysis showed higher abundances in cruciferous fields than in any other patches of the landscape, indicating a strong host plant dependency. We demonstrate that Brassica vegetables distribution and growth stage, have dominant impacts on the spatial distribution of P. xylostella in a fine-scale landscape. This work clarified the spatio-temporal dynamic and distribution patterns of P. xylostella in an agricultural landscape, and the distribution model developed by geostatistical analysis can provide a scientific basis for precise targeting and localized control of P. xylostella.

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