Levels and spatial distribution of perfluorinated compounds (PFCs) in superficial sediments from the marine reserves of the Tuscan Archipelago National Park (Italy)

2013 ◽  
Vol 76 (1-2) ◽  
pp. 379-382 ◽  
Author(s):  
Guido Perra ◽  
Silvano Ettore Focardi ◽  
Cristiana Guerranti
Author(s):  
Abdul Rosyid ◽  
Yanto Santosa ◽  
I Nengah Surati Jaya ◽  
M. Bismark ◽  
Agus P. Kartono

<p><span>Tarsius lariang (T. lariang) is an endemic species in Lore Lindu National Park (LLNP). Available information regarding T. lariang is limited to only morphological, anatomical, cytogenetic, and voices issues. Knowledge for its geospatial characteristics such as spatial preferences and spatial distribution is rare. The main objective of this study is to identify the spatial distribution pattern of T. lariang in LLNP. An additional objective is to identify the environmental factors affecting its spatial distribution patterns. Field observation for distribution pattern was done at the observation plot that were using systematic sampling with random start. Furthermore, the density estimation in each point was calculated using Triangle Count and Concentration Count method, while insect abundance was estimated using light traps sample data. Finally, spatial pattern was estimated using nearest neighbor index, while the environmental affecting factors were identified by using spatial analysis and correlation analyses. From 45 observation points, the T. lariang distribution pattern was clumped. It is also recognized that the significant factors affecting the spatial distribution were insect abundance, proximity from the commercially utilized land, and land surface temperature.</span></p><p> </p>


2009 ◽  
pp. 191-204
Author(s):  
Branko Stajic ◽  
Milivoj Vuckovic ◽  
Marko Smiljanic

The methodology and applicability of the study of spatial distribution of trees in Serbian forestry have been insufficiently reported and presented. This paper, based on mathematical?statistical principles, analyses the method of spatial distribution of spruce trees in the Nature Reserve 'Jankove Bare' in the National Park 'Kopaonik'. The following methods in the group of distance methods were applied: Kotar's method (1993), T2?method, and the index of distance dispersion (Johnson, Zimmer, 1985). The study results in a pure uneven-aged spruce stand based on all three methods showed that spruce trees are randomly distributed over the stand area. Therefore, environmental conditions in the study stand can be regarded as homogeneous and equally suitable for tree growth, and there are no significant interactions between the trees, which could cause a higher competition between the trees for nutrients, water, etc.


2019 ◽  
Vol 10 (5) ◽  
pp. 75-81
Author(s):  
Jeremiah Mrimi Doreen ◽  
William Nyahongo Julius ◽  
Olav Vedeld Pål ◽  
Hussein Massawe Boniface ◽  
Nakakaawa Jjunju Charlotte

Chemosphere ◽  
2012 ◽  
Vol 88 (11) ◽  
pp. 1353-1357 ◽  
Author(s):  
Yasuyuki Zushi ◽  
Feng Ye ◽  
Mamoru Motegi ◽  
Kiyoshi Nojiri ◽  
Shigeo Hosono ◽  
...  

2015 ◽  
Vol 103 (10) ◽  
Author(s):  
Paulo Alves de Lima Ferreira ◽  
Laís Farina Amorim ◽  
Pedro Marone Tura ◽  
Valter André Medeiros Zacheo ◽  
Rubens Cesar Lopes Figueira

AbstractThis study evaluated the spatial distribution of two environmentally relevant radionuclides,


Oryx ◽  
2014 ◽  
Vol 49 (2) ◽  
pp. 295-302 ◽  
Author(s):  
Johnstone K. Kimanzi ◽  
Roy A. Sanderson ◽  
Stephen P. Rushton ◽  
Mware J. Mugo

AbstractPoaching with snares has been identified as the main cause of decline of the endemic roan antelope Hippotragus equinuslangheldi in Ruma National Park, Kenya, from > 200 in 1979 to 37 in 2009. However, the spatial snaring patterns in the Park are not clearly understood. The focus of our study was to map the spatial distribution of snares in the Park and to identify the factors influencing this distribution, to develop effective methods of wildlife protection. Using data collected from 56 sample plots during 2006–2008, coupled with geographical information system techniques, we investigated the association between the occurrence of snares and the distribution of geographical features (slope, elevation), infrastructure (roads, fences), essential resources for wildlife (water, salt licks, forage), roan locations and wildlife density. Ripley's L function for assessing complete spatial randomness indicated that snares occurred in clumps (hotspots) up to 4 km apart. Negative binomial regression indicated that these hotspots occurred (1) near water resources, salt licks and the Park boundary, (2) far from roan locations and Park roads, (3) in areas with low gradients and low wildlife density, and (4) in areas with burned vegetation. We recommend concentrating routine security patrol efforts and resources on snare hotspots to reduce snaring and to protect the roan antelope and other threatened wildlife.


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