GSA QUATERNARY GEOLOGY AND GEOMORPHOLOGY DIVISION ARTHUR D. HOWARD AWARD: IMPACTS OF RAPID CLIMATE WARMING ON THE FREQUENCY AND SPATIAL DISTRIBUTION OF LANDSLIDES IN A SUBARCTIC MOUNTAIN RANGE, DENALI NATIONAL PARK AND PRESERVE, ALASKA

2019 ◽  
Author(s):  
Zena V. Robert ◽  
◽  
Daniel H. Mann ◽  
Louise Farquharson ◽  
Vladimir Romanovsky ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Climate Warming ◽  
National Park ◽  
Quaternary Geology ◽  
Mountain Range ◽  
Denali National Park

Molluscs and Climate Warming in a Low Mountain Range National Park

Malacologia ◽  
2009 ◽  
Vol 51 (1) ◽  
pp. 89-109 ◽  
Author(s):  
Jörg Müller ◽  
Claus Bässler ◽  
Christian Strätz ◽  
Beate Klöcking ◽  
Roland Brandl
Keyword(s):  
Climate Warming ◽  
National Park ◽  
Mountain Range ◽  
Low Mountain Range

scholarly journals Spatial distribution pattern of Tarsius Lariang in lore lindu national park

2019 ◽  
Vol 13 (2) ◽  
pp. 606 ◽  
Author(s):  
Abdul Rosyid ◽  
Yanto Santosa ◽  
I Nengah Surati Jaya ◽  
M. Bismark ◽  
Agus P. Kartono
Keyword(s):  
Spatial Distribution ◽  
Distribution Pattern ◽  
Land Surface ◽  
National Park ◽  
Spatial Distribution Pattern ◽  
Systematic Sampling ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Insect Abundance ◽  
Lore Lindu National Park

<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>

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