Structure and Spatial Distribution of Pinus tabulaeformisPopulation in the Songshan Nature Reserve, Beijing, China*

2010 ◽  
Vol 2009 (2) ◽  
pp. 175-179 ◽  
Author(s):  
Yun ZHANG ◽  
Yazhou ZHAO ◽  
Chunyu ZHANG ◽  
Xiuhai ZHAO
Keyword(s):  
Spatial Distribution ◽  
Nature Reserve ◽  
Pinus Tabulaeformis ◽  
Beijing China

The Spatial Distribution and Clustering of Convention Facilities in Beijing, China

2013 ◽  
Vol 19 (9) ◽  
pp. 1070-1090 ◽  
Author(s):  
Li Cong ◽  
Bihu Wu ◽  
Alastair M. Morrison ◽  
Kou Xi
Keyword(s):  
Spatial Distribution ◽  
Beijing China

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.

A new species of Coccomyces from Guizhou Province of China

Phytotaxa ◽  
2020 ◽  
Vol 446 (1) ◽  
pp. 23-32
Author(s):  
WEI ZANG ◽  
TU LV ◽  
JIANQIU SUN ◽  
CHENGLIN HOU
Keyword(s):  
New Species ◽  
Life Science ◽  
Nature Reserve ◽  
Phylogenetic Analyses ◽  
Guizhou Province ◽  
New Taxon ◽  
Its Gene ◽  
Close Relationship ◽  
Beijing China ◽  
A New Species

Specimens of Coccomyces collected from Fanjingshan National Nature Reserve in Guizhou Province of China were identified as a new species and named as Coccomyces fanjingshanensis. Phylogenetic analyses of the ITS gene and combined LSU and mtSSU genes indicate that this new taxon has a close relationship with Coccomyces huangshanensis, Coccomyces cupressinus and Coccomyces radiatus.The type collection was deposited in the Herbarium of the College of Life Science, Capital Normal University, Beijing, China (BJTC).

scholarly journals Temporal-spatial Analysis of Contributors’ Mapping Behavior for Building Data in OpenStreetMap

2019 ◽  
Vol 2 ◽  
pp. 1-10
Author(s):  
Jin Xu ◽  
Qi Zhou
Keyword(s):  
Spatial Distribution ◽  
Spatial Analysis ◽  
Spatial Patterns ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Developing Regions ◽  
Temporal And Spatial Patterns ◽  
Temporal And Spatial ◽  
One Year ◽  
Beijing China

<p><strong>Abstract.</strong> Volunteered Geographic Information (VGI) crowdsourced from volunteering posts, is closely related to contributors’ mapping behavior. As the most noticeable VGI source, OpenStreetMap (OSM) is one of the most studied objectives in VGI and data contributors. In this paper, temporal-spatial analysis is applied in seeking the temporal and spatial patterns of the number of buildings and contributors in Beijing, China. Temporal changes of the number of updated buildings, and the population of total, new and quitted contributors, were interpreted, as well as the spatial distribution of updated buildings, participated contributors, and frequency of updates. The result suggests that the number of updated buildings, participated contributors, new and quitted contributors are growing. Buildings are mostly updated by a small number of contributors, the majority of which did not participated in mapping in the previous year. Most contributors update buildings for one year without succeeding till the next. Contributors are interested in updating a large amount of buildings frequently around landmarks, commercial districts, universities, and transit hubs. They update buildings at an expanding range and an increasing density, but their attentions do not necessarily bring large quantity of building updates. In general, OSM buildings in developing regions with less complete database are updated under similar patterns as developed regions where data are much more complete.</p>

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