为了探究西藏林芝河谷地带紫花苜蓿(Medicago sativa L.)与高羊茅(Festuca elata Keng ex E.Alexeev)混播对草地产量和牧草品质的影响,以单播为对照,采用随机区组设计,测定了不同茬次牧草的生产性能和营养指标。结果表明:混播干草产量...为了探究西藏林芝河谷地带紫花苜蓿(Medicago sativa L.)与高羊茅(Festuca elata Keng ex E.Alexeev)混播对草地产量和牧草品质的影响,以单播为对照,采用随机区组设计,测定了不同茬次牧草的生产性能和营养指标。结果表明:混播干草产量分别达14917.05 kg·hm^(-2),13288.82 kg·hm^(-2)和8729.86 kg·hm^(-2),显著高于单播产量。牧草混播第1至3茬的粗蛋白质含量分别为14.07%,13.62%和20.50%,显著高于单播高羊茅,低于单播紫花苜蓿;平均粗脂肪含量达2.24%,显著高于单播处理。牧草干重与粗纤维含量呈极显著正相关,与粗脂肪含量呈显著正相关关系,与粗蛋白质含量呈显著负相关关系。不同处理(茬次)灰色关联度综合评价排序结果为A3>B3>C1>A1>A2>B2>B1>C2>C3。2种牧草混播具有一定的优势,可在林芝河谷地带广泛栽培推广和利用。展开更多
Ecosystem multifunctionality(EMF), the simultaneous provision of multiple ecosystem functions, is often affected by biodiversity and environmental factors. We know little about how the interactions between biodiversit...Ecosystem multifunctionality(EMF), the simultaneous provision of multiple ecosystem functions, is often affected by biodiversity and environmental factors. We know little about how the interactions between biodiversity and environmental factors affect EMF. In this case study, a structural equation model was used to clarify climatic and geographic pathways that affect EMF by varying biodiversity in the Tibetan alpine grasslands. In addition to services related to carbon, nitrogen, and water cycling, forage supply, which is related to plantproductivity and palatability, was included in the EMF index. The results showed that 72% of the variation in EMF could be explained by biodiversity and other environmental factors. The ratio of palatable richness to all species richness explained 8.3% of the EMF variation. We found that air temperature, elevation, and latitude all affected EMF, but in different ways. Air temperature and elevation impacted the aboveground parts of the ecosystem, which included plant height, aboveground biomass, richness of palatable species, and ratio of palatable richness to all species richness. Latitude affected EMF by varying both aboveground and belowground parts of the ecosystem, which included palatable speciesrichness and belowground biomass. Our results indicated that there are still uncertainties in the biodiversity–EMF relationships related to the variable components of EMF, and climatic and geographic factors. Clarification of pathways that affect EMF using structural equation modeling techniques could elucidate the mechanisms by which environmental changes affect EMF.展开更多
文摘为了探究西藏林芝河谷地带紫花苜蓿(Medicago sativa L.)与高羊茅(Festuca elata Keng ex E.Alexeev)混播对草地产量和牧草品质的影响,以单播为对照,采用随机区组设计,测定了不同茬次牧草的生产性能和营养指标。结果表明:混播干草产量分别达14917.05 kg·hm^(-2),13288.82 kg·hm^(-2)和8729.86 kg·hm^(-2),显著高于单播产量。牧草混播第1至3茬的粗蛋白质含量分别为14.07%,13.62%和20.50%,显著高于单播高羊茅,低于单播紫花苜蓿;平均粗脂肪含量达2.24%,显著高于单播处理。牧草干重与粗纤维含量呈极显著正相关,与粗脂肪含量呈显著正相关关系,与粗蛋白质含量呈显著负相关关系。不同处理(茬次)灰色关联度综合评价排序结果为A3>B3>C1>A1>A2>B2>B1>C2>C3。2种牧草混播具有一定的优势,可在林芝河谷地带广泛栽培推广和利用。
基金supported by the National Natural Science Foundation of China (Grant No. 31570460)the National Key Research and Development Program of China (Grant No. 2016YFC0502004)
文摘Ecosystem multifunctionality(EMF), the simultaneous provision of multiple ecosystem functions, is often affected by biodiversity and environmental factors. We know little about how the interactions between biodiversity and environmental factors affect EMF. In this case study, a structural equation model was used to clarify climatic and geographic pathways that affect EMF by varying biodiversity in the Tibetan alpine grasslands. In addition to services related to carbon, nitrogen, and water cycling, forage supply, which is related to plantproductivity and palatability, was included in the EMF index. The results showed that 72% of the variation in EMF could be explained by biodiversity and other environmental factors. The ratio of palatable richness to all species richness explained 8.3% of the EMF variation. We found that air temperature, elevation, and latitude all affected EMF, but in different ways. Air temperature and elevation impacted the aboveground parts of the ecosystem, which included plant height, aboveground biomass, richness of palatable species, and ratio of palatable richness to all species richness. Latitude affected EMF by varying both aboveground and belowground parts of the ecosystem, which included palatable speciesrichness and belowground biomass. Our results indicated that there are still uncertainties in the biodiversity–EMF relationships related to the variable components of EMF, and climatic and geographic factors. Clarification of pathways that affect EMF using structural equation modeling techniques could elucidate the mechanisms by which environmental changes affect EMF.
