全面了解植物水分利用效率(WUE)研究现状可为未来该领域研究方向的确立和发展趋势预测提供依据。为此,基于Web of Science(WoS)核心合集的科学引文索引数据库,采用VOSviewer文献计量分析软件对植物WUE研究2000-2021年发表的相关文献进...全面了解植物水分利用效率(WUE)研究现状可为未来该领域研究方向的确立和发展趋势预测提供依据。为此,基于Web of Science(WoS)核心合集的科学引文索引数据库,采用VOSviewer文献计量分析软件对植物WUE研究2000-2021年发表的相关文献进行分析。结果表明,1)2000-2021年世界范围内该领域发文数量呈抛物线式增长趋势,载文量较多的期刊有Agricultural Water Management,Field Crops Research,Agricultural and Forest Meteorology等,发文量前3的国家为中国、美国和澳大利亚,发文量前3的机构为中国科学院、西北农林科技大学和中国农业大学,发文量前3的作者为Liu Fulai,Kang Shaozhong,H.Medrano,该领域大多数研究者之间合作关系较少;2)尽管中国学者发文数量最多,但有影响力和高被引用论文数量少;3)目前该领域主要的研究方向可分为3类,植物WUE种间或种内差异的生理或分子机制、灌溉和施肥等田间管理措施对作物WUE的影响与调控、气候变化对陆地生态系统WUE的影响;4)基于关键词热点分析和热点论文分析,给出了未来植物WUE研究需要加强的方面。展开更多
论文基于估算NPP的CASA模型和估算ET的三角形模型对水分限制因子算法进行改进的基础上,构建了由NPP子模型和ET子模型组成的WUE遥感估算模型,以2010年相关MODIS影像和气象参量为数据源,实现了渭河流域WUE的估算,并对WUE的时空特征及其与...论文基于估算NPP的CASA模型和估算ET的三角形模型对水分限制因子算法进行改进的基础上,构建了由NPP子模型和ET子模型组成的WUE遥感估算模型,以2010年相关MODIS影像和气象参量为数据源,实现了渭河流域WUE的估算,并对WUE的时空特征及其与年内气温、降雨的关系进行了分析。研究表明:1)WUE模拟结果与通量观测数据以及生态系统模型模拟结果均具有一定的可比性,各模型模拟结果存在差异可能与WUE定义、模拟区域、使用数据源以及使用植被覆盖分类底图等存在差异有关;2)渭河流域WUE年内分布呈现微"双峰"型格局,以8月最高,春、夏、秋、冬四季WUE分别为0.57、1.05、0.66、0.12 g C·m-2·mm-1,呈现夏季>秋季>春季>冬季的特征;3)渭河流域WUE空间分布呈现子午岭、黄龙山、六盘山以及秦岭北坡等林区高,西安市建成区、子流域上游低植被覆盖区以及局部旱作农业区低的分异特征;4)渭河流域尺度上,WUE随年内气温和降雨的变化均呈现5阶段的变化特征,但变化形式存在差异。展开更多
From July 2008 to August 2008, 72 leaf samples from 22 species and 81 soil samples in the nine natural forest ecosystems were collected, from north to south along the North-South Transect of Eastern China （NSTEC）. B...From July 2008 to August 2008, 72 leaf samples from 22 species and 81 soil samples in the nine natural forest ecosystems were collected, from north to south along the North-South Transect of Eastern China （NSTEC）. Based on these samples, we studied the geographical distribution patterns of vegetable water use efficiency （WUE） and nitrogen use efficiency （NUE）, and analyzed their relationship with environmental factors. The vegetable WUE and NUE were calculated through the measurement of foliar δ 13C and C/N of predominant species, respectively. The results showed： （1） vegetable WUE, ranging from 2.13 to 28.67 mg C g-1 H2O, increased linearly from south to north in the representative forest ecosystems along the NSTEC, while vegetable NUE showed an opposite trend, increasing from north to south, ranging from 12.92 to 29.60 g C g-1 N. （2） Vegetable WUE and NUE were dominantly driven by climate and significantly affected by soil nutrient factors. Based on multiple stepwise regression analysis, mean annual temperature, soil phosphorus concentration, and soil nitrogen concentration were responding for 75.5% of the variations of WUE （p0.001）. While, mean annual precipitation and soil phosphorus concentration could explain 65.7% of the change in vegetable NUE （p0.001）. Moreover, vegetable WUE and NUE would also be seriously influenced by atmospheric nitrogen deposition in nitrogen saturated ecosystems. （3） There was a significant trade-off relationship between vegetable WUE and NUE in the typical forest ecosystems along the NSTEC （p0.001）, indicating a balanced strategy for vegetation in resource utilization in natural forest ecosystems along the NSTEC. This study suggests that global change would impact the resource use efficiency of forest ecosystems. However, vegetation could adapt to those changes by increasing the use efficiency of shortage resource while decreasing the relatively ample one. But extreme impacts, such as heavy nitrogen deposition, would break this trade-off mechanism and give a dramatic disturbance to the ecosystem biogeochemical cycle.展开更多
文摘全面了解植物水分利用效率(WUE)研究现状可为未来该领域研究方向的确立和发展趋势预测提供依据。为此,基于Web of Science(WoS)核心合集的科学引文索引数据库,采用VOSviewer文献计量分析软件对植物WUE研究2000-2021年发表的相关文献进行分析。结果表明,1)2000-2021年世界范围内该领域发文数量呈抛物线式增长趋势,载文量较多的期刊有Agricultural Water Management,Field Crops Research,Agricultural and Forest Meteorology等,发文量前3的国家为中国、美国和澳大利亚,发文量前3的机构为中国科学院、西北农林科技大学和中国农业大学,发文量前3的作者为Liu Fulai,Kang Shaozhong,H.Medrano,该领域大多数研究者之间合作关系较少;2)尽管中国学者发文数量最多,但有影响力和高被引用论文数量少;3)目前该领域主要的研究方向可分为3类,植物WUE种间或种内差异的生理或分子机制、灌溉和施肥等田间管理措施对作物WUE的影响与调控、气候变化对陆地生态系统WUE的影响;4)基于关键词热点分析和热点论文分析,给出了未来植物WUE研究需要加强的方面。
文摘论文基于估算NPP的CASA模型和估算ET的三角形模型对水分限制因子算法进行改进的基础上,构建了由NPP子模型和ET子模型组成的WUE遥感估算模型,以2010年相关MODIS影像和气象参量为数据源,实现了渭河流域WUE的估算,并对WUE的时空特征及其与年内气温、降雨的关系进行了分析。研究表明:1)WUE模拟结果与通量观测数据以及生态系统模型模拟结果均具有一定的可比性,各模型模拟结果存在差异可能与WUE定义、模拟区域、使用数据源以及使用植被覆盖分类底图等存在差异有关;2)渭河流域WUE年内分布呈现微"双峰"型格局,以8月最高,春、夏、秋、冬四季WUE分别为0.57、1.05、0.66、0.12 g C·m-2·mm-1,呈现夏季>秋季>春季>冬季的特征;3)渭河流域WUE空间分布呈现子午岭、黄龙山、六盘山以及秦岭北坡等林区高,西安市建成区、子流域上游低植被覆盖区以及局部旱作农业区低的分异特征;4)渭河流域尺度上,WUE随年内气温和降雨的变化均呈现5阶段的变化特征,但变化形式存在差异。
基金National Natural Science Foundation of China No.30590381 No.31000211 National Basic Research Program of China No.2010CB833504
文摘From July 2008 to August 2008, 72 leaf samples from 22 species and 81 soil samples in the nine natural forest ecosystems were collected, from north to south along the North-South Transect of Eastern China （NSTEC）. Based on these samples, we studied the geographical distribution patterns of vegetable water use efficiency （WUE） and nitrogen use efficiency （NUE）, and analyzed their relationship with environmental factors. The vegetable WUE and NUE were calculated through the measurement of foliar δ 13C and C/N of predominant species, respectively. The results showed： （1） vegetable WUE, ranging from 2.13 to 28.67 mg C g-1 H2O, increased linearly from south to north in the representative forest ecosystems along the NSTEC, while vegetable NUE showed an opposite trend, increasing from north to south, ranging from 12.92 to 29.60 g C g-1 N. （2） Vegetable WUE and NUE were dominantly driven by climate and significantly affected by soil nutrient factors. Based on multiple stepwise regression analysis, mean annual temperature, soil phosphorus concentration, and soil nitrogen concentration were responding for 75.5% of the variations of WUE （p0.001）. While, mean annual precipitation and soil phosphorus concentration could explain 65.7% of the change in vegetable NUE （p0.001）. Moreover, vegetable WUE and NUE would also be seriously influenced by atmospheric nitrogen deposition in nitrogen saturated ecosystems. （3） There was a significant trade-off relationship between vegetable WUE and NUE in the typical forest ecosystems along the NSTEC （p0.001）, indicating a balanced strategy for vegetation in resource utilization in natural forest ecosystems along the NSTEC. This study suggests that global change would impact the resource use efficiency of forest ecosystems. However, vegetation could adapt to those changes by increasing the use efficiency of shortage resource while decreasing the relatively ample one. But extreme impacts, such as heavy nitrogen deposition, would break this trade-off mechanism and give a dramatic disturbance to the ecosystem biogeochemical cycle.
