The Intensity of Simulated Grazing Modifies Costs and Benefits of Physiological Integration in a Rhizomatous Clonal Plant
The Intensity of Simulated Grazing Modifies Costs and Benefits of Physiological Integration in a Rhizomatous Clonal Plant
复制标题
模拟放牧的强度改变了根茎克隆植物生理整合的成本和效益
DOI:
10.3390/ijerph17082724
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发表时间:
2020-04
影响因子:
--
通讯作者:
Ying Gao
中科院分区:
文献类型:
--
作者:
Jushan Liu;Chen Chen;Yao Pan;Yang Zhang;Ying Gao
Clonal plants in grasslands are special species with physiological integration which can enhance their ability to tolerate herbivory stress especially in heterogeneous environments. However, little is known about how grazing intensity affects the trade-off between the benefits and costs of physiological integration, and the mechanism by which physiological integration improves compensatory growth in response to herbivory stress. We examined the effects of simulated grazing intensity on compensatory growth and physiological integration in a clonal species Leymus chinensis with a greenhouse experiment. This experiment was conducted in a factorial design involving nutrient heterogeneity (high-high, high-low, low-high, low-low), simulated grazing by clipping (0%, 25%, 50% or 75% shoot removal) and rhizome connection (intact versus severed) treatments. Compensatory indexes at 25% and 50% clipping levels were higher than that at 75% clipping level except in low-low nutrient treatments. Physiological integration decreased and increased compensatory indexes when the target-ramets worked as exporter and importer, respectively. Generally, clipping increased both benefits and costs of physiological integration, but its net benefits (benefits minus costs) changed with clipping intensity. Physiological integration optimized compensatory growth at light and moderate clipping intensity, and its net benefits determined the high capacity of compensatory growth. Grassland managements such as grazing or mowing at light and moderate intensity would maximize the profit of physiological integration and improve grassland sustainability.
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影响因子:
2.3
作者:
Wang Deli;Du Juan;Zhang Baotian;Ba Lei;Hodgkinson Kenneth C.
通讯作者:
Hodgkinson Kenneth C.
影响因子:
2.7
作者:
A. Slade;M. Hutchings
通讯作者:
A. Slade;M. Hutchings
影响因子:
4.8
作者:
ALPERT, P
通讯作者:
ALPERT, P
DOI:
10.1016/j.scitotenv.2018.03.264
发表时间:
2018-03
期刊:
The Science of the total environment
影响因子:
--
作者:
Jonatan Rodríguez;Mariasole Calbi;S. Roiloa;L. González
通讯作者:
Jonatan Rodríguez;Mariasole Calbi;S. Roiloa;L. González
影响因子:
9.4
作者:
J. Bullock;A. Mortimer;M. Begon
通讯作者:
J. Bullock;A. Mortimer;M. Begon