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Differential Responses of N:P Stoichiometry of Leymus chinensis and Carex korshinskyi to N Additions in a Steppe Ecosystem in Nei Mongol 被引量:113
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作者 zhangli-xia BAIYong-Fei HANXing-Guo 《Acta Botanica Sinica》 CSCD 2004年第3期259-270,共12页
The typical steppe ecosystems in China are now being increasingly degraded due mainly toovergrazing. To determine the limiting nutrients is of significance in order to find out ways of successfullyrestoring the degrad... The typical steppe ecosystems in China are now being increasingly degraded due mainly toovergrazing. To determine the limiting nutrients is of significance in order to find out ways of successfullyrestoring the degraded steppe. In addition to field fertilization experiments, N:P stoichiometry is an alternative,but argumentative tool to study nutrient limitation. In this study, we used these two approaches to identifythe most limiting nutrient element at the species level. Furthermore, nutrient addition experimentprovides an effective means to test our hypothesis that N:P stoichiometry will remain constant becauserelatively narrow range of N:P ratio in tissues of the terrestrial plants is an important adaptive mechanismfor plants to survive on earth. For these purposes, we designed a field experiment to examine theresponses of biomass and N:P stoichiometry of the two dominant species -- Leyrnus chinensis (Trin.)Tzvel. and Carex korshinskyiKom. -- to N fertilization at rates of O, 5, 15, 30, 50 and 80 g NH4NO3.m-2.a-~in two adjacent sites, one being excluded animal grazing for 22 years (site A), and another being free ofgrazing for only two years (site B) before the experiment was carried out. No effects of N fertilization weredetected in the first year as reflected by the aboveground biomass and P concentrations of the twospecies. The regression analysis showed that N:P ratios of two species of both sites remained constant inthe second year. N fertilization significantly increased the N concentrations of two species in both years,while only significantly increased the P contents of the two species in the second year. N and P contentsof the two species were significantly correlated in all cases in 2001. Our results suggest that theL. chinensis was in short of N in site B while the growth of C. korshinskyi was limited by P in site A, andthere is a significant synergistic relationship between tissue N and P concentrations in 2001. Our hypothesiswas valid on the species level since N:P ratio of the two species remained constant with increasing Napplication rates after two years of fertilization. We argue that it may be inappropriate to define an ecosystemwhich is limited by certain nutrient elements since the responses of coexisting species present in acommunity to nutrient additions can vary tremendously. 展开更多
关键词 内蒙古 草原生态系统 N素 养分添加 生物量 羊草 黄囊苔草
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控释尿素与保水剂互作对玉米糖类代谢的影响 被引量:1
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作者 聂良鹏 郭利伟 +8 位作者 宁堂原 郭慧玲 吕玉虎 郭晓彦 陈雪青 史鹏飞 张丽霞 张琳 潘兹亮 《现代农业科技》 2018年第20期8-11,共4页
设置施肥方式和保水剂2个因素,研究控释尿素施用方式与保水剂互作对玉米穗位叶上蔗糖含量、蔗糖合成酶活性、磷酸蔗糖合成酶活性和籽粒中直链淀粉与支链淀粉含量的影响。结果表明,控释尿素施肥方式与保水剂互作对玉米糖类代谢影响显著,... 设置施肥方式和保水剂2个因素,研究控释尿素施用方式与保水剂互作对玉米穗位叶上蔗糖含量、蔗糖合成酶活性、磷酸蔗糖合成酶活性和籽粒中直链淀粉与支链淀粉含量的影响。结果表明,控释尿素施肥方式与保水剂互作对玉米糖类代谢影响显著,花后30 d是改良玉米籽粒品质的关键时期。与普通尿素相比,包膜控释尿素底施和深施能提高穗位叶的磷酸蔗糖酶活性,促进叶片内蔗糖的合成,使叶片内蔗糖含量维持较高的水平,保水剂降低了叶片内蔗糖合成酶活性。普通尿素与保水剂耦合后能提高籽粒内淀粉含量,并且能显著提高支链淀粉的含量。 展开更多
关键词 控释尿素 保水剂 施肥方式 玉米 蔗糖代谢 酶活性
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Rule Extraction from Trained Artificial Neural Network Based on Genetic Algorithm
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作者 WANGWen-jian zhangli-xia 《Systems Science and Systems Engineering》 CSCD 2002年第2期240-245,共6页
This paper discusses how to extract symbolic rules from trained artificial neural network (ANN) in domains involving classification using genetic algorithms (GA). Previous methods based on an exhaustive analysis of ne... This paper discusses how to extract symbolic rules from trained artificial neural network (ANN) in domains involving classification using genetic algorithms (GA). Previous methods based on an exhaustive analysis of network connections and output values have already been demonstrated to be intractable in that the scale-up factor increases with the number of nodes and connections in the network. Some experiments explaining effectiveness of the presented method are given as well. 展开更多
关键词 rule extraction neural network genetic algorithm knowledge discovery in database(KDD) data mining(DM)
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A Measure of Learning Model Complexity by VC Dimension
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作者 WANGWen-jian zhangli-xia 《Systems Science and Systems Engineering》 CSCD 2002年第4期455-461,共7页
When developing models there is always a trade-off between model complexity and model fit. In this paper, a measure of learning model complexity based on VC dimension is presented, and some relevant mathematical theor... When developing models there is always a trade-off between model complexity and model fit. In this paper, a measure of learning model complexity based on VC dimension is presented, and some relevant mathematical theory surrounding the derivation and use of this metric is summarized. The measure allows modelers to control the amount of error that is returned from a modeling system and to state upper bounds on the amount of error that the modeling system will return on all future, as yet unseen and uncollected data sets. It is possible for modelers to use the VC theory to determine which type of model more accurately represents a system. 展开更多
关键词 VC dimension learning model COMPLEXITY statistical learning theory MODELING
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