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Pan Q.,Chinese Academy of Forestry | Liang J.,Chinese Academy of Forestry | Liang J.,Kunyushan Forest Ecosystem Research Station | Zhu Y.-P.,Chinese Research Academy of Environmental Sciences | And 6 more authors.
Chinese Journal of Ecology

Based on the sample-circle method and the 2×2 contingency table of species presence/absence data collected from 50 permanent plots in Kunyushan region, the VR analysis, χ2-test, association coefficient, Ochiai association index, Dice association index, point correlation coefficient, Cramer index, and percentage co-occurrence were used in quantitative analysis of the inter-specific correlation of Kunyushan web-spinning sawfly (Cephalcia kunyushanica, a defolia­tor) occurrence and adjacent understory plants of natural forests in Kunyushan region. The results indicated that there was a significant positive correlation of overall association existing among Cephalcia kunyushanica and 195 neighboring shrub or herbage plants (P<0. 01). The result of χ2-test showed a positive association for 83 species-pairs and a negative association for 112 species-pairs. The ratio of negative pairs was higher than positive ones. Furthermore, the insect showed extremely significant positive inter-specific correlation relations to 11 species including Carex rigescens, while negative ones to 16 species including Carex siderosticta respectively (P<0. 01). © 2014, Editorial Board of Chinese Journal of Ecology. All rights reserved. Source

Sun Z.,Chinese Academy of Forestry | Zhang X.,Chinese Academy of Forestry | Zhang X.,Kunyushan Forest Ecosystem Research Station | Zhu Y.,Chinese Academy of Forestry | And 5 more authors.
Shengtai Xuebao/ Acta Ecologica Sinica

Species indicator is now widely used in monitoring and assessing restoration of various ecosystems after disturbance and in policy-making for ecosystem management. The objective of this study is to evaluate whether species indicator can be used to provide theoretical guidance for assessing forest restoration after disturbance and the effects of different forest management measures at Kunyushan National Forest Reserve. Analysis of species accumulation curves indicated that samples from the 40 permanent plots set by Kunyushan Ecosystem Station were statistically sufficient for analyzing the species composition and its change, because the species collected from the 40 permanent plots account for 92. 9% of total number of the estimated species with an ACE value of 131.26. Principal coordinate analysis revealed that plant communities at Kunyushan Forest Reserve could be grouped into six stand types. Species indicator values (Ind Vals) analysis suggested the each stand type had its own unique indicators. Pinus thunbergii (Ind Val = 0.6404, P = 0.004), Sorbus pohuashanensis (IndVal = 0.5556, P= 0.005) and Quercus acutissima (IndVal = 0.5415, P = 0.044) were indicators for P. thunbergii stands; indicators of P. densiflora stands were Prunus japonica (IndVal = 0.7685, P = 0.001), P. densiflora(IndVal = 0.6321, P = 0.001) and Lindera metcafiana (IndVal = 0.5464, P = 0.020). Species indicators for Larix kaempfer/Cunninghamia lanceolata stands included Larix kaempfer (IndVal = 0.7711, P = 0.002), Sorbus alnifolia (IndVal = 0.7689, P = 0.002), Cunninghamia lanceolata (IndVal = 0.6333, P = 0.004), Symplocos paniculata(IndVal = 0.536, P = 0.033) and Ligustrum obtusifolium (IndVal = 0.5000, P = 0.003). Quercus acutissima (IndVal = 0.9571, P = 0.004) was also an indicator for conifer-Quercus acutissima mixed stands, whereas Smilax sieboldi (IndVal = 0.7200, P = 0.010), Catalpa bungei (IndVal = 0.6000, P = 0.001) and P. armandi (IndVal = 0.6000, P = 0.001) were indicators for conifer-broadleaved mixture. Broadleaved forest included Liquidambar formosana stand, Quercus acutissima stand, Robinia pseudoacacia stand and Sorbus alnifolia stand, in which they themselves were indicators of related stand types. No statistically significant difference was found among the six stand types in their abundance and species richness, while the diversity indices of Fisher α, Shannon-Wiener and Simpson were significantly different among these stand types. The highest Fisher α index and Shannon-Wiener index were found in broadleaved stand types, whose Simpson index was the lowest. Fisher α and Shannon-Wiener indexes showed no statistically significant differences among the other stand types, i. e. P. thunbergii stands, P. densiflora stands, Larix kaempfer/Cunninghamia lanceolata stands, conifer- Quercus acutissima mixed stands and conifer-broadleaved mixture. The formation of diverse forest stand types mainly resulted from anthropogenic disturbance about 30 years ago, when new species were introduced and many trees were planted. Source

Sun Z.,Chinese Academy of Forestry | Zhang X.,Chinese Academy of Forestry | Zhang X.,Kunyushan Forest Ecosystem Research Station | Lin L.,Chinese Academy of Forestry | And 6 more authors.
Shengtai Xuebao/ Acta Ecologica Sinica

The objective of this study is to investigate where the infestation of Cephalcia kunyushanica most likely occurs at different stand characteristics and geographic locations of Pinus densiflora forest communities in Kunyushan region. Using measurements from 40 permanent sample plots within P. densiflora forests in Kunyushan Forest Farm, we analyzed the variation of the larval density of Cephalcia kunyushanica with the stand characteristics of forest communities and the diversity of shrubs and grasses as quantified Shannon diversity index (H) and evenness index (JS) in those forests from 1996 to 2008. We found that 60% of trees have the diameter at breast height (DBH) between 5 cm and 25 cm in 2008, about 51% higher than that in 1996, and 67% of the trees have tree height between 2m and 10 m in 2008, about 57% higher than that in 1996. However the mean tree number density decreased from 13000 trees/hm2 in 1996 to 2377 trees/hm2 in 2008. Both H and JS of the shrubs and grasses within the forests decreased from 2. 69 and 0. 85 in 1996 to 2. 5 and 0. 79, respectively; suggesting a decline in diversity in those forest communities. It was found that the larval density of C. kunyushanica is significantly correlated with the canopy cover (R = 0. 931, P <0. 005), elevation of the forests (R =0. 924 P <0. 005), tree number density (R = 0. 780, P < 0. 05), DBH of the trees (R = 0. 816, P = 0. 025). The spatial pattern of C. kunyushanica larval distribution seems to be consistent with the resource concentration1 hypothesis. Source

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