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Ma S.-J.,Beijing Forestry University | Zhu S.-L.,State owned Forest Administration of Lvliangshan Mountain | Li W.,Beijing Forestry University | Ouyang K.-X.,Beijing Forestry University | And 2 more authors.
Forestry Studies in China | Year: 2010

A full-length cDNA sequence of xyloglucan endotransglycosylase gene (XET), abundantly expressed in the cambium of Anthocephalus chinensis was cloned by conserved PCR, rapid-amplification of cDNA ends and by chromosome walking. Analytical results of the DNA sequence show that a 912 bp complete open reading frame (ORF) encoded a 303-amino acid protein was in the 1205 bp full cDNA sequence. The deduced amino acid sequence of AcXET, which contained the conserved specific EIDFE catalytic site sequence to XETs was homologous to the other known XET proteins. In order to study the gene function of AcXET and obtain transgenic plants, a plant expression vector pBIAcXET was constructed by recombinating the AcXET fragment from the cloning vector pMD19AcXET and the binary vector pBI121 between the XbaI and SmaI sites. The fragment of AcXET gene was inserted between the CaMV 35S promotor and the coding region of the GUS gene in pBI121. The identification results show that the plant expression binary vector pBIAcXET was constructed successfully. These results lay the foundation for studying the molecular mechanism of AcXET gene during wood formation. © Beijing Forestry University and Springer Berlin Heidelberg 2010. Source


Kang L.,Harbin Institute of Technology | Zhang Y.,Harbin Institute of Technology | Zou B.,Harbin Institute of Technology | Wang C.,Forestry Research Institute of Hebei Province
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2015

Compared to traditional SAR, high-resolution PolSAR not only can provide texture and geometry information, but also can provide polarimetric information, which have been used extensively for various surface features recognition. Traditional methods only based on images characteristics which don't apply to high-resolution PolSAR images interpretation, causing the algorithm redundancy and low recognition rate. However, human's image cognition system is an efficient and intelligent image processing system, which nothing can be comparable to in targets recognition. Based on human image cognition mechanism, a new method for features recognition in PolSAR images is proposed in this paper to overcome above shortcomings. The proposed method utilizes hierarchical cognition model to identify different features: the first layer is visual cognition, the second layer is logical cognition and the third layer is psychology cognition. Image segmentation and visual sensitive features extraction and integration are applied in visual cognition to derive preliminary recognition results. Based on the results from first procedure, fuzzy logic theory and Neural Network Model are both utilized in logical cognition. Background characteristics are utilized to identify features precisely in psychology cognition. The whole cognitive procedure is under the guidance of a priori knowledge, which is represented in accordance with production rules. Experiments are conducted over the EMISAR L-band PolSAR data and the E-SAR L-band PolSAR data. The results show that the proposed method can effectively and precisely identify different features in PolSAR images. © 2015 IEEE. Source


Zou B.,Harbin Institute of Technology | Zhang Y.,Harbin Institute of Technology | Wang C.,Forestry Research Institute of Hebei Province | Cheng Y.,Product Quality Supervision and Inspection Institute of Harbin
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2015

PolSAR images have been used extensively for various surface features recognition and buildings recognition is an important research topic of PolSAR image interpretation. Traditional methods are only based on PolSAR image characteristics and lack subjective knowledge of human image cognition, making low target recognition rate and algorithm redundancy. To overcome this shortcoming, based on human image cognition mechanism, a new method for buildings recognition in PolSAR images is proposed in this paper. The proposed method utilizes hierarchical cognition model to identify buildings: the first layer is visual cognition and the second layer is logical cognition. In visual cognition, visual sensitive features are extracted and integrated under the guidance of a priori knowledge to derive preliminary recognition results. In logical cognition, based on the results from first process, fuzzy logic theory and Neural Network Model are both utilized to identify buildings precisely. The whole cognition procedure is guided by the knowledge, which is represented in accordance with production rules. Experiments are conducted over the EMISAR L-band PolSAR data, the E-SAR L-band PolSAR data and Convair-SAR C-band PolSAR data. The results show that the proposed method can identify buildings from PolSAR images effectively and precisely. © 2015 IEEE. Source


Ma Y.-c.,Extension Station general of Forestry Science and Technology of Anhui Province | Xiao Z.-d.,Forestry Research Institute of Hebei Province | She C.-q.,Extension Station general of Forestry Science and Technology of Anhui Province | Cai X.-l.,Forestry Research Institute of Hebei Province | Wang Q.-l.,Forestry Bureau of Qianshan County
Journal of Plant Resources and Environment | Year: 2012

Differences of three microclimate factors including photosynthetically active radiation intensity (PAR), air temperature (Ta) and air relative humidity (RH) and photosynthetic including net photosynthetic rate (Pn), stomatal conductance (Gs), intercellular CO2 cchoanraccetnetrriasttiiocns (Ci) and transpiration rate (Tr) of Camellia sinensis (L.) O. Kuntze in compound forests of Castanea mollissima-Ginkgo biloba-Camellia sinensis and Castanea mollissima-Camellia sinensis and pure forest of Camellia sinensis were compared, and the main physio-ecological factors affecting on Pn of C. sinensis were investigated by multiple regression analysis. The results show that there are great differences of PAR, Ta and RH in three forests during different measurement times, PAR and Ta in pure forest of C. sinensis are generally higher but its RH is generally lower than those in two compound forests during same measurement time. Compared to pure forest of C. sinensis, compound planting of C. mollissima and G. biloba with C. sinensis is helpful to regulate PAR, Ta and RH in the forests. The growth of C. sinensis is affected by shading of C. mollissima or G. biloba in two compound forests. Pn of C. sinensis in pure forest is the highest with significant difference to that of C. sinensis in C. mollissima-G. biloba-C. sinensis compound forest. And Gs of C. sinensis in pure forest is generally higher than and its Ci has no significant difference with that in two compound forests. Also, Tr of C. sinensis generally has no significant difference among three forests. The results of multiple regression analysis indicate that effect of Tr on Pn of C. sinensis in three forests is the greatest among six physio-ecological factors (including Gs, Ci, Tr, PAR, Ta and RH), and the second is Ta. While other factors have different effect degrees in different forests. It is suggested that compound planting of C. sinensis can regulate water and heat conditions within forests and improve growing environment of C. sinensis, it is worth for popularization and application in existing tea garden. Source


Mi W.-J.,Forestry Research Institute of Hebei Province | Liu K.-D.,Beijing Forestry University | Zhao Y.-G.,Forestry Research Institute of Hebei Province | Zheng C.-X.,Beijing Forestry University | And 3 more authors.
Beijing Linye Daxue Xuebao/Journal of Beijing Forestry University | Year: 2011

Soil salinization is one of the major causes of ecological deterioration in the Datong Basin, Shanxi Province. We analyzed the soil salinization in the Datong Basin and investigated the cultivation of salt-tolerant plant species and their tolerant capacity .The results showed that the climate of the Datong Basin is cold, dry and windy; soil salinization is very serious and vegetation is sparse. Fifteen species were first selected for the cultivation experiment in salinized soil; the survival rate of the first six species decreased in order as follows: Lycium chinense, Populus alba var.pyramidali, Tamarix chinensis, Ulmus pumil, Elaeagnus angustifolia and Salix matsudana. Further, six local species were selected to study the effect of salinity stress on their morphological characteristics, photosynthetic rate, stomatal resistance, transpiration rate, intercellular CO2 concentration and the cell membrane permeability. Comprehensive evaluation showed that the salinity tolerance decreased in the order of Tamarix chinensis > Lycium chinense > Pinus sylvestris var.mongolica > Juniperus rigida > Ulmus pumila > Populus alba var.pyramidali. Source

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