Environmental correlates of distribution of the 25 broad-leaved tree species indigenous to Guangdong Province, China

2004 ◽  
Vol 6 (4) ◽  
pp. 23-28
Author(s):  
Zhiyao Su ◽  
Beiguang Chen ◽  
Yong Chang ◽  
Jiazhi Yang
2012 ◽  
Vol 518-523 ◽  
pp. 5324-5329 ◽  
Author(s):  
Xiang Lin Wang ◽  
Jing Peng Li ◽  
Yan Zhang ◽  
Zhi Yao Su

Distribution pattern of 1148 indigenous tree species in Guangdong province and their relations to the environment were investigated based on the 0.5°×0.5° latitude-longitude grid system. The results showed that indigenous tree species richness increased with increasing latitude. Richness peaked in the middle of the study area with longitudinal gradient. Four ecological areas for indigenous tree species distribution were delimited using cluster analysis and TWINSPAN (two-way indicator species analysis). Indicator Species Analysis showed a significant difference was found in indicator species distribution across latitude gradient and the 4 ecological areas. Northern mountain areas and southern coastal areas possessed most of the indicator species (IV ≥ 0.7), among which Celtis philippensis, Gironniera cuspidata and Symplocos chunii were strongly indicative of the environmental characteristics. The study of distribution patterns and classification of ecological areas, which reflects different geographical and climatic characteristics, will be of significant implications for introduction of indigenous tree species from natural ecological areas.


1993 ◽  
Vol 41 (6) ◽  
pp. 649 ◽  
Author(s):  
DMJS Bowman ◽  
JCZ Woinarski ◽  
KA Menkhorst

A quadrat based survey that sampled across the environmental range of the geologically and topographically diverse Stage III of Kakadu National Park, Northern Territory, revealed that the region has a tree flora dominated by the family Myrtaceae, and the genus Eucalyptus in particular. Principal components analysis (PCA) defined three axes of environmental variation: site rockiness, site hydrology and surface soil clay content. The three PCA axes were divided into halves and a 2x2x2 matrix was created to classify eight environments; however, there were quadrats in only seven of the eight possible environments. Kruskal-Wallis one-way ANOVAs showed that there was significant variation of the following variables between the 7 environments: total basal area, tree species richness, proportion tree richness composed of eucalypt species, and proportion of eucalypt richness composed of the four subgenera Blakella, Corymbia, Eudesmia and Symphyomyrtus. Of the most abundant 25 tree species and other common eucalypts only five species (Allosyncarpia ternata, Eucalyptus bigalerita, E. clavigera, E. foelscheana and E. jacobsiana) did not have significant differences in their mean basal area between the seven environments. The above patterns are interpreted as evidence that the savanna is a highly evolved system rather than the product of geologically recent disturbance to a once widespread monsoon rainforest.


Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 930 ◽  
Author(s):  
Biyun Wu ◽  
Xiang Meng ◽  
Qiaolin Ye ◽  
Ram P. Sharma ◽  
Guangshuang Duan ◽  
...  

Forest degradation has been considered as one of the main causes of climate change in recent years. The knowledge of estimating degraded forest areas without the application of remote sensing tools can be useful in finding solutions to resolve degradation problems through appropriate restoration methods. Using the existing knowledge through literature review and field-based primary information, we generated new knowledge by combining the information obtained from multi-criteria decision analyses with an analytic hierarchy process, and this was then used to estimate degraded forest area. Estimation involves determining forest degradation index (FDI) and degradation threshold. Continuous inventory data of permanent sample plots collected from degraded forests, consisting of various forest types divided by dominant tree species in the Guangdong province and Tibet autonomous region of China, were used for the purposes. We identified four different forest degradation levels through the determination and comprehensive evaluation of FDI. The degraded forest area with broad-leaved species as dominant tree species in the Guangdong province was estimated to be 83.3% of a total forest area of 24,037 km2. In the same province, the degraded forest area with eucalyptus as a dominant tree species was 59.5% of a total forest area of 18,665 km2. In the Tibet autonomous region, the degraded forest area with spruce as a dominant tree species was 99.1% of a total forest area of 17,614 km2, and with fir as a dominant tree species, the degraded area was 98.4% of a forest area of 12,103 km2. A sampling accuracy of forest areas with national forest inventory was about 95% in both provinces. Our study concludes that the FDI method used has a certain scientific rationality in estimating degraded forest area. The forest provides a variety of tangible and intangible goods and services for humans. Therefore, forest management should focus on the improvement of its overall productivity, which is only possible with improving forest site quality. One of the important steps to improve the quality of a forest site is to resolve its degradation issues. The presented method in this article will be useful in finding the solutions to forest degradation problems. This method, which does not need any remote sensing tool, is simple and can be easily applied for estimating any degraded forest area and developing effective forest restoration plans.


2018 ◽  
Vol 38 (17) ◽  
Author(s):  
王立景 WANG Lijing ◽  
胡彦婷 HU Yanting ◽  
张德强 ZHANG Deqiang ◽  
刘世忠 LIU Shizhong ◽  
孟泽 MENG Ze ◽  
...  

2001 ◽  
Vol 12 (2) ◽  
pp. 101-104 ◽  
Author(s):  
Han Wei-dong ◽  
Gao Xiu-mei ◽  
Li Lin-feng ◽  
Lu Chang-yi

2001 ◽  
Vol 70 (1) ◽  
pp. 33-46 ◽  
Author(s):  
Doncaster C. Patrick ◽  
Rondinini Carlo ◽  
Johnson Paul C. D.

1995 ◽  
Vol 95 (3) ◽  
pp. 399-408 ◽  
Author(s):  
Elena Toll ◽  
Federico J. Castillo ◽  
Pierre Crespi ◽  
Michele Crevecoeur ◽  
Hubert Greppin

ICTE 2015 ◽  
2015 ◽  
Author(s):  
Lin Hong ◽  
Ying Jiang ◽  
Yaqian Li ◽  
Zekai Xu ◽  
Fan Li ◽  
...  
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