机构地区:[1]College of Life Sciences, Inner Mongolia University [2]School of Energy and Power Engineering, Inner Mongolia University of Technology
出 处:《Chinese Science Bulletin》2014年第13期1405-1415,共11页
基 金:supported by the National Nat-ural Science Foundation of China(31160476);the National Key Basic Research Program of China(NKBRP)(2014CB138802,2010CB9 50602);the Natural Science Foundation of Inner Mongolia(2011MS0517)
摘 要:A considerable challenge in plant ecology is to understand how interactions,such as competition or facilitation,shape the spatial distribution of plants.The‘‘stress gradient hypothesis’’predicts that facilitation and competition will vary inversely across gradients of abiotic stress or consumer pressure.Surprisingly,few previous studies have explored how the balance between facilitation and competition affects spatial patterns along gradients of stress in a plant population based on field experiments.In order to investigate the effects of consumer pressure,facilitation,and competition on the spatial pattern of plant populations,we conducted a restoration succession series field experiment in the Inner Mongolian steppe in which sample sites of graded consumer pressure,specifically grazing stress,were established.We chose to examine the spatial patterns of Leymus chinensis,a dominant species in our experimental site.In order to test the‘‘stress gradient hypothesis,’’we applied the univariate O-ring statistic to analyze local neighborhood density at different spatial scales.We used the pair-correlation function to detect the characteristics of point patterns using complete spatial randomness,the Poisson cluster process,and the nested double-cluster process.We found that the local densities of L.chinensis were higher under high stress than lower stress environments.This demonstrated the‘‘stress gradient hypothesis’’in that facilitation and competition varied inversely across gradients of consumer pressure.However,we found nodifferences in the spatial patterns of L.chinensis based on complete spatial randomness when interactions shifted from facilitation to competition along gradients of consumer pressure.Furthermore,we detected the characteristics of point patterns using the Poisson cluster and nested doublecluster processes.The results showed the spatial patterns of L.chinensis to fit well with the nested double-cluster model under highly stressful conditions,while in lower stress environmentA considerable challenge in plant ecology is to understand how interactions, such as competition or facil- itation, shape the spatial distribution of plants. The "stress gradient hypothesis" predicts that facilitation and compe- tition will vary inversely across gradients of abiotic stress or consumer pressure. Surprisingly, few previous studies have explored how the balance between facilitation and compe- tition affects spatial patterns along gradients of stress in a plant population based on field experiments. In order to investigate the effects of consumer pressure, facilitation, and competition on the spatial pattern of plant populations, we conducted a restoration succession series field experi- ment in the Inner Mongolian steppe in which sample sites of graded consumer pressure, specifically grazing stress, were established. We chose m examine the spatial patterns of Leymus chinensis, a dominant species in our extmfimental site. In order to test the "stress gradient hypothesis," we appfied the univariate O-ring statistic to analyze local neighborhood density at different spatial scales. We used the pair-correlation function to detect the characteristics of point patterns using complete spatial randomness, the Poisson cluster process, and the nested double-cluster process. We found that the local densities of L chinensis were higher under high stress than lower stress environments. This demonstrated the "stress gradient hypothesis" in that facilitation and competition varied inversely across gradients of consumer pressure. However, we found no differences in the spatial patterns of L chinensis based on complete spatial randomness when interactions shifted from facilitation to competition along gradients of consumer pressure. Furthermore, we detected the characteristics of point patterns using the Poisson cluster and nested double- cluster processes. The results showed the spatial patterns of L. chinensis to fit well with the nested double-cluster model under highly stressful conditions, while in
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...