Chin J Plan Ecolo ›› 2008, Vol. 32 ›› Issue (1): 80-87.doi: 10.3773/j.issn.1005-264x.2008.01.009

• Research Articles • Previous Articles     Next Articles

SENSITIVITY OF CONIFEROUS TREES TO ENVIRONMENTAL FACTORS AT DIFFERENT SCALES IN THE SMALL XING’AN MOUNTAINS, CHINA

BU Ren-Cang; CHANG Yu; HU Yuan-Man; LI Xiu-Zhen; HE Hong-Shi   

  1. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
  • Online:2008-01-30 Published:2008-01-30
  • Contact: BU Ren-Cang

Abstract:

Aims Our objective is to predict the distribution of coniferous species and determine species' sensitivity to environmental

factors in the Small Xing'an Mountains, China. This information is important for forest regeneration and biodiversity

conservation and is useful to policy makers for forest management at different scales.
Methods Slope, aspect, compound topographic index, elevation, topographic position index and average annual temperature and

precipitation were selected for use in Logistic regression to predict the occurrence of Korean pine (Pinus koraiensis), larch

(Larix gmelinii), fir (Abies nephrolepis), spruces (Picea koraiensis and P. jezoensis) and Mongol scotch pine's (Pinus

sylvestris var. mongolica). Relative operating characteristic (ROC) was used to evaluate the Logistic models. Because

Logistic regression is difficult to explain, we used the correlation coefficient between species distribution and

environmental factors to explore the sensitivity of species to environmental factors.
Important findings The fir model had best fitness (ROC >80%), and Korean pine, spruces and larch had good fitness (ROC =

60%-80%). The predictions of Mongol Scotch pine, a rare species, had low accuracy. At the regional scale, Korean pine, fir,

spruces and Mongol Scotch pine were the most sensitive to average annual precipitation, and larch was the most sensitive to

slope. At local scale, Korean pine was the most sensitive to slope, fir and spruces to elevation and larch to slope position.

In addition, this shift of the most important factor in species occurrence at different scale was accompanied by a change of

distribution type. Korean pine w as more clustered at regional scale (ROC=78.6%) than at local scale (74.4%), and its

proportion increased in Fenglin Natural Reserve. Fir and spruces clustered at regional scale, but approached random

distribution at local scale (ROC<60 %), i.e., they occurred everywhere. Larch, the dominant species in the north, became more

clustered at local scale (ROC increased from 71.7 to 82.0%) and was restricted to sites such as valleys. Scaling down from

regional to local scale resulted in the changes of the most important factors affecting species distribution. Most species

were sensitive to climatic factors at regional scale and geographic factors at local scale; however, larch was always the

most sensitive to geographic factors due to the temperature inversion in the region.

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[1] Yang Ying-gen;Zhang Li-jun and Li yu. Studies on the Postharvest Physiology properties of Peach Fruits[J]. Chin Bull Bot, 1995, 12(04): 47 -49 .
[2] Zhou Shi-gong. Applications of Lanthanum in Botanical Research[J]. Chin Bull Bot, 1992, 9(02): 26 -29 .
[3] . [J]. Chin Bull Bot, 1996, 13(专辑): 105 .
[4] 杜维广 王彬如 谭克辉 郝迺斌. An Approach to the Breeding of Soybean with High Photosynthetic Efficiency[J]. Chin Bull Bot, 1984, 2(23): 7 -11 .
[5] ZHAO Yun-Yun ZHOU Xiao-Mei YANG Cai. Production of Hybrid F1 Between Avena magna and Avena nuda and It''s Identification[J]. Chin Bull Bot, 2003, 20(03): 302 -306 .
[6] . Professor Jiayang Li, a Plant Molecular Genetist[J]. Chin Bull Bot, 2003, 20(03): 370 -372 .
[7] . [J]. Chin Bull Bot, 1996, 13(专辑): 100 -101 .
[8] Qiong Jiang, Youning Wang, Lixiang Wang, Zhengxi Sun, Xia Li. Validation of Reference Genes for Quantitative RT-PCR Analysis in Soybean Root Tissue under Salt Stress[J]. Chin Bull Bot, 2015, 50(6): 754 -764 .
[9] MA Ke-Ming. Advances of the Study on Species Abundance Pattern[J]. Chin J Plan Ecolo, 2003, 27(3): 412 -426 .
[10] ZHANG Zhi-Meng, WAN Shu-Bo, NING Tang-Yuan, DAI Liang-Xiang. EFFECTS OF NITROGEN LEVEL ON NITROGEN METABOLISM AND CORRELATING ENZYME ACTIVITY IN PEANUT[J]. Chin J Plan Ecolo, 2008, 32(6): 1407 -1416 .