scholarly journals Spatial distribution of Coleoptera (Insecta) in the valley forests of the Ussuri Nature Reserve (South Primorye, Russia)

2013 ◽  
Vol 03 (07) ◽  
pp. 464-468
Author(s):  
Alexander V. Kuprin ◽  
Victorya A. Kharchenko
Keyword(s):  
Spatial Distribution ◽  
Nature Reserve ◽  
South Primorye

scholarly journals Spatial distribution of spruce trees in the nature reserve 'Jankove bare' on mt. Kopaonik

2009 ◽  
pp. 191-204
Author(s):  
Branko Stajic ◽  
Milivoj Vuckovic ◽  
Marko Smiljanic
Keyword(s):  
Spatial Distribution ◽  
Tree Growth ◽  
Environmental Conditions ◽  
National Park ◽  
Nature Reserve ◽  
Distance Methods ◽  
Study Results

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.

scholarly journals Modeling the Spatial Distribution of Three Typical Dominant Wetland Vegetation Species’ Response to the Hydrological Gradient in a Ramsar Wetland, Honghe National Nature Reserve, Northeast China

Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 2041
Author(s):  
Dandan Yan ◽  
Zhaoqing Luan ◽  
Dandan Xu ◽  
Yuanyuan Xue ◽  
Dan Shi
Keyword(s):  
Spatial Distribution ◽  
Water Level ◽  
Northeast China ◽  
Nature Reserve ◽  
Wetland Vegetation ◽  
Vegetation Communities ◽  
National Nature Reserve ◽  
Carex Lasiocarpa ◽  
Vegetation Species ◽  
Calamagrostis Angustifolia

Water level fluctuations resulting from natural and anthropogenic factors have been projected to affect the functions and structures of wetland vegetation communities. Therefore, it is important to assess the impact of the hydrological gradient on wetland vegetation. This paper presents a case study on the Honghe National Nature Reserve (HNNR) in the Sanjiang Plain, located in Northeast China. In this study, 210 plots from 18 sampling line transects were sampled in 2011, 2012, and 2014 along the hydrological gradient. Using a Gaussian logistic regression model, we determined a relationship between three wetland plant species and a hydrologic indicator—a combination of the water level and soil moisture—and then applied that relationship to simulate the distribution of plants across a larger landscape by the geographic information system (GIS). The results show that the optimum ecological amplitude of Calamagrostis angustifolia to the hydrological gradient based on the probability of occurrence model was [0.09, 0.41], that of Carex lasiocarpa was [0.35, 0.57], and that of Carex pseudocuraica was [0.49, 0.77]. The optimum of Calamagrostis angustifolia was 0.25, Carex lasiocarpa was 0.46, and Carex pseudocuraica was 0.63. Spatial distribution probability maps were generated, as were maps detailing the distribution of the most suitable habitats for wetland vegetation species. Finally, the model simulation results were verified, showing that this approach can be employed to provide an accurate simulation of the spatial distribution pattern of wetland vegetation communities. Importantly, this study suggests that it may be possible to predict the spatial distribution of different species from the hydrological gradient.

scholarly journals Test of the RUSLE and Key Influencing Factors Using GIS and Probability Methods: A Case Study in Nanling National Nature Reserve, South China

2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Jun Wang ◽  
Qian He ◽  
Ping Zhou ◽  
Qinghua Gong
Keyword(s):  
Spatial Distribution ◽  
Soil Erosion ◽  
Influencing Factors ◽  
South China ◽  
Nature Reserve ◽  
Ground Truth ◽  
Landsat 8 ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
National Nature Reserve

The main purposes of the study were to test the performance of the Revised Universal Soil Loss Equation (RUSLE) and to understand the key factors responsible for generating soil erosion in the Nanling National Nature Reserve (NNNR), South China, where soil erosion has become a very serious ecological and environmental problem. By combining the RUSLE and geographic information system (GIS) data, we first produced a map of soil erosion risk at 30 m-resolution pixel level with predicted factors. We then used consecutive Landsat 8 satellite images to obtain the spatial distribution of four types of soil erosion and carried out ground truth checking of the RUSLE. On this basis, we innovatively developed a probability model to explore the relationship between four types of soil erosion and the key influencing factors, identify high erosion area, and analyze the reason for the differences derived from the RUSLE. The results showed that the overall accuracy of image interpretation was acceptable, which could be used to represent the currently actual spatial distribution of soil erosion. Ground truth checking indicated some differences between the spatial distribution and class of soil erosion derived from the RUSLE and the actual situation. The performance of the RUSLE was unsatisfactory, producing differences and even some errors when used to estimate the ecological risks posed by soil erosion within the NNNR. We finally produced a probability table revealing the degree of influence of each factor on different types of soil erosion and quantitatively elucidated the reason for generating these differences. We suggested that soil erosion type and the key influencing factors should be identified prior to soil erosion risk assessment in a region.

Spatial distribution of vegetation and carbon density in Jinyun Mountain Nature Reserve based on RS/GIS

2012 ◽  
Vol 32 (7) ◽  
pp. 2174-2184 ◽  
Author(s):  
徐少君 XU Shaojun ◽  
曾波 ZENG Bo ◽  
苏晓磊 SU Xiaolei ◽  
类淑桐 LEI Shutong ◽  
刘建辉 LIU Jianhui
Keyword(s):  
Spatial Distribution ◽  
Nature Reserve ◽  
Carbon Density

Niche overlap and competition for habitat between the helmeted honeyeater and the bell miner

1995 ◽  
Vol 22 (6) ◽  
pp. 633 ◽  
Author(s):  
J Pearce ◽  
P Menkhorst ◽  
MA Burgman
Keyword(s):  
Spatial Distribution ◽  
Nature Reserve ◽  
Niche Overlap ◽  
Short Term ◽  
Habitat Overlap ◽  
State Nature Reserve ◽  
State Nature

This study aimed to investigate the extent of habitat overlap and competition between helmeted honeyeaters and bell miners at Yellingbo State Nature Reserve by comparing the structural attributes of occupied habitat, the spatial distribution of suitable and occupied habitat, and the reoccupation of former habitat by the helmeted honeyeater following bell miner removal. The results suggest that little niche overlap occurs between the two honeyeaters, at least within the range of structural attributes measured in the study, and that competition appears to be for space rather than any other limiting resource. It is concluded that, in the short term, the best way to minimise the conflict between the two honeyeaters and favour the expansion of helmeted honeyeaters is to remove bell miners from adjacent habitat.

scholarly journals Estimating trail use and visitor spatial distribution using mobile device data: An example from the Nature Reserve of Orange County, California USA

2021 ◽  
pp. 100171
Author(s):  
Noah E. Creany ◽  
Christopher A. Monz ◽  
Ashley D’Antonio ◽  
Abigail Sisneros-Kidd ◽  
Emily J. Wilkins ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Mobile Device ◽  
Nature Reserve ◽  
Orange County ◽  
Trail Use
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