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Responses to Water Stress and a Functional-structural Growth Model of Plant Species Growing in Semi-arid Desertified Areas of Northeast Asia

机译:东北亚半干旱荒漠化地区对水分胁迫的响应及植物物种功能结构生长模型

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The most effective way to combat desertification and restore ecosystems in arid/semi-arid regions is through vegetation rehabilitation. In this study, an accumulation of basic eco-physiological information on plant species was integrated with a functional-structural growth model for selecting the best plant species or species combinations and predicting/assessing the rehabilitation.rnWe examined the growth responses to water stress of 16 plant species growing in arid/semi-arid grasslands in China and Mongolia using environment-controlled growth cabinets. The dry weight growth decreased with increasing water stress in all species, while the degree of depression of the relative growth rate differed among species even of the same life forms such as shrubs, grasses or forbs, and was almost entirely due to the reduction in the net assimilation rate. Some species showed a decrease in their specific leaf area and some showed an increase in their root/shoot ratio, both of which indicated adaptation to fields where water deficiencies occur frequently.rnWe developed an individual-based 3-D plant structure model of several plant species using the Lindenmayer system (L-system) and an object-oriented modeling framework for constructing a "functional-structural plant growth model" based on morphological/eco-physiological characteristics. Plant morphological parameters above/underground were collected in environment-controlled experiments. Stereoscopic individual-based whole plant growth could be simulated, and by comparing plant structures simulated by the program with those of cultivated real plants, the performance of the model could be confirmed to have a potential to simulate 3-D morphological growth of plant species. This model could also simulate the dry weight growth and eco-physiological responses to water stress.
机译:在干旱/半干旱地区,防治荒漠化和恢复生态系统的最有效方法是植被恢复。在这项研究中,将有关植物物种的基本生态生理信息与功能结构生长模型集成在一起,以选择最佳的植物物种或物种组合并预测/评估恢复情况.rn我们研究了16种植物对水分胁迫的生长响应使用环境控制的生长柜在中国和蒙古的干旱/半干旱草原上生长的植物物种。在所有物种中,干重的增长都随着水分胁迫的增加而降低,而相对生长率的下降程度甚至在相同生命形式(如灌木,草或Forbs)之间的物种之间也有所不同,这几乎完全是由于物种减少所致。净同化率。有些物种的比叶面积减少,有些物种的根/茎比增加,这两种物种都适应了经常缺水的田野。我们开发了几种植物的基于个体的3-D植物结构模型物种使用Lindenmayer系统(L系统)和面向对象的建模框架,以基于形态/生态生理特性构建“功能结构植物生长模型”。在环境控制实验中收集了上方/地下的植物形态参数。可以模拟立体个体为基础的整株植物的生长,并且通过将该程序模拟的植物结构与栽培的真实植物的植物结构进行比较,可以确认该模型的性能具有模拟植物物种的3D形态生长的潜力。该模型还可以模拟干重增长和对水分胁迫的生态生理响应。

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