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季节性冻融期间土壤动物对高山草甸两种凋落叶失重的贡献 被引量:5
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作者 彭艳 杨万勤 +4 位作者 薛樵 李俊 王滨 谭波 吴福忠 《生态学报》 CAS CSCD 北大核心 2016年第19期6149-6158,共10页
季节性冻融期间高山草甸凋落叶的分解可为生长季节植物生长提供必要的养分,对于维持生态系统物质循环和养分平衡具有重要作用。然而,土壤动物对凋落叶分解是否具有明显的贡献仍然缺乏一致认识。因此,以高山草甸代表性植物黄花亚菊(Ajani... 季节性冻融期间高山草甸凋落叶的分解可为生长季节植物生长提供必要的养分,对于维持生态系统物质循环和养分平衡具有重要作用。然而,土壤动物对凋落叶分解是否具有明显的贡献仍然缺乏一致认识。因此,以高山草甸代表性植物黄花亚菊(Ajania nubigena)和黑褐苔草(Carex atrofusca)凋落叶为研究对象,采用不同孔径凋落叶袋排除土壤动物的方法,研究冬季不同冻融时期(冻结前期、冻结期和融化期)土壤动物对凋落叶失重的贡献。整个季节性冻融期间土壤动物对黄花亚菊和黑褐苔草两种凋落叶失重率的作用分别为12.07%和4.03%,总贡献率分别为46.39%和24.14%。土壤动物对两种凋落叶失重率的作用均在融化期最大,而土壤动物对黄花亚菊凋落叶失重率的作用在冻结初期最小,土壤动物对黑褐苔草凋落叶失重率的作用在冻结期最小。整个季节性冻融期,土壤动物对凋落叶失重率的作用和贡献率与正积温和凋落叶初始C、N浓度和C/N比均呈显著的正相关关系。因此,季节性冻融期间土壤动物对高山草甸凋落叶分解具有明显的贡献,但这些过程受冻融格局和凋落叶初始质量的调控。 展开更多
关键词 高山草甸 凋落叶质量损失 季节性冻融时期 土壤动物
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黄土丘陵区人工林刺槐和油松凋落叶在不同降雨时期的分解特征 被引量:6
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作者 王云霞 刘桂要 +2 位作者 邓强 时新荣 袁志友 《生态学报》 CAS CSCD 北大核心 2020年第19期6872-6884,共13页
凋落物分解是维持生态系统养分循环和能量流动的关键过程,但在雨热同期的黄土丘陵区,不同降雨时期凋落物基质质量动态对该区不同树种凋落物分解速率的影响还不清楚。采用凋落物分解袋法,基于野外原位分解实验分析黄土丘陵区主要人工林刺... 凋落物分解是维持生态系统养分循环和能量流动的关键过程,但在雨热同期的黄土丘陵区,不同降雨时期凋落物基质质量动态对该区不同树种凋落物分解速率的影响还不清楚。采用凋落物分解袋法,基于野外原位分解实验分析黄土丘陵区主要人工林刺槐(Robinia pseudoacacia Linn.)和油松(Pinus tabulaeformis Carr.)凋落叶在不同降雨时期的分解特征和分解过程中凋落叶基质质量的变化与分解速率之间的关系。研究结果发现:(1)经过391 d的分解,刺槐凋落叶的平均质量损失速率为(51.0±8.44)mg/d,显著地高于油松凋落叶(36.7±4.83)mg/d;雨季期间两树种凋落叶的质量损失速率均显著地高于旱季,其中夏季多雨期间凋落叶的质量损失速率最高,冬季微量降雨期间质量损失速率最低。(2)在整个分解过程中两树种凋落叶C和N含量都表现为净释放且主要发生在雨季,P含量表现为释放与富集交替进行;刺槐凋落叶C/N比、C/P比和N/P比呈波动的趋势,油松凋落叶C/N比则显著地增加且在夏季多雨期出现峰值,C/P比呈波动的状态,N/P比变化较小。(3)不同降雨时期刺槐凋落叶的质量损失速率与凋落叶P含量动态显著正相关,与C含量、C/P比和N/P比动态显著负相关。油松凋落叶质量损失速率与C/N比动态显著正相关,与C、N含量动态显著负相关,与N/P比动态呈负二次函数的关系。这些结果说明黄土丘陵区刺槐和油松凋落叶在不同降雨时期分解速率之间的差异显著且两树种凋落叶的分解都集中在雨季期间;此外凋落叶分解主要受到凋落叶N含量和N/P比动态变化的制约,与刺槐凋落叶相比,N含量与N/P比对油松凋落叶的限制作用更强。 展开更多
关键词 凋落分解 凋落叶质量 季节性降水 气候变化 人工林 黄土丘陵区
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中国森林生态系统凋落叶分解速率的分布特征及其控制因子 被引量:65
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作者 唐仕姗 杨万勤 +7 位作者 殷睿 熊莉 王海鹏 王滨 张艳 彭艳君 陈青松 徐振锋 《植物生态学报》 CAS CSCD 北大核心 2014年第6期529-539,共11页
凋落物分解是森林生态系统碳循环的重要组成部分。建立中国森林凋落叶分解速率数据库,分析凋落叶分解速率与其主要影响因素之间的关系,对精确地预测中国森林生态系统碳收支具有重要意义。该研究通过收集已报道的中国森林凋落叶分解常数... 凋落物分解是森林生态系统碳循环的重要组成部分。建立中国森林凋落叶分解速率数据库,分析凋落叶分解速率与其主要影响因素之间的关系,对精确地预测中国森林生态系统碳收支具有重要意义。该研究通过收集已报道的中国森林凋落叶分解常数(k)及其相关变量,分析探讨地理因素(纬度、经度和海拔)、气候因素(年平均气温和年降水量)、凋落叶质量(氮、磷、钾、木质素、木质素:氮和碳氮比)和叶特性(常绿与落叶、阔叶与针叶)对中国森林凋落叶分解速率的影响。结果表明,在国家尺度上,k随年平均气温、年降水量、氮、磷和钾的增加而增加,随纬度、经度、海拔、碳氮比、木质素和木质素:氮的增大而减小,叶特性对k的影响不显著。气候与地理因素(年平均气温、年降水量和纬度)能解释k值变异的34.1%,凋落叶质量(氮、钾、木质素和木质素:氮)能解释k值变异的21.7%,它们能共同解释k值变异的74.4%。了解森林凋落叶分解速率在国家尺度上的格局和主控因素可为中国森林生态系统碳循环相关模型提供基础参数。 展开更多
关键词 气候因素 分解速率 凋落 凋落叶质量 地理因素
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Correction of leaf nutrient resorption efficiency on the mass basis 被引量:1
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作者 Meixia Zhang Yan Luo +1 位作者 Qingquan Meng Wenxuan Han 《Journal of Plant Ecology》 SCIE CSCD 2022年第6期1125-1132,共8页
Nutrient resorption is a crucial mechanism for plant nutrient conservation,but most previous studies did not consider the leaf-mass loss during senescence due to lack of measured data.This would lead to an underestima... Nutrient resorption is a crucial mechanism for plant nutrient conservation,but most previous studies did not consider the leaf-mass loss during senescence due to lack of measured data.This would lead to an underestimation of nutrient resorption efficiency(NuRE),or calculating NuRE of various species based on the average mass loss at plant-functional-group level in the literature,thus affecting its accuracy.Here we measured the leaf-mass loss to correct NuRE with the species-specific mass loss correction factor(MLCF),so as to foster a more accurate calculation of the nutrient fluxes within and between plants and the soil.Green leaves and senesced leaves were collected from 35 dominant woody plants in northern China.Mass of green and senesced leaves were measured to calculate the MLCF at species level.The MLCF was reported for each of the 35 dominant woody plants in northern China.These species averagely lost 17%of the green-leaf mass during leaf senescence,but varied greatly from 1.3%to 36.8%mass loss across the 35 species,or 11.7%to 19.6%loss across the functional types.Accordingly,the MLCF varied from 0.632 to 0.987 across the 35 species with an average value 0.832.The NuRE corrected with MLCF was remarkably increased on the whole(e.g.both the average nitrogen and phosphorus NuRE became about 9%higher,or more accurate),compared with the uncorrected ones,especially in the case of low resorption efficiencies.Our field data provide reliable references for the MLCF of plants in related regions at both species and functional-type levels,and are expected to promote more accurate calculations of NuRE. 展开更多
关键词 green leaf leaf litter mass loss correction factor nutrient resorption senesced leaf woody plants
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Leaf litter decomposition characteristics and controlling factors across two contrasting forest types 被引量:1
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作者 Yuan-Yuan Zhao Zhuo-Ting Li +1 位作者 Ting Xu An-ru Lou 《Journal of Plant Ecology》 SCIE CSCD 2022年第6期1285-1301,共17页
Plant leaf litter decomposition provides a source of energy and nutrients in forest ecosystems.In addition to traditional environmental factors,the degradation process of litter is also affected by plant functional tr... Plant leaf litter decomposition provides a source of energy and nutrients in forest ecosystems.In addition to traditional environmental factors,the degradation process of litter is also affected by plant functional traits and litter quality.However,at the community level,it is still unclear whether the relative importance of plant traits and litter quality on the litter decomposition rate is consistent.A year-long mixed leaf litter decomposition experiment in a similar environment was implemented by using the litterbag method in seven typical forest types in Dongling Mountain,Beijing,North China,including six monodominant communities dominated by Juglans mandshurica,Populus cathayana,Betula dahurica,Betula platyphylla,Pinus tabuliformis and Larix gmelinii var.principis-rupprechtii and one codominant community dominated by Fraxinus rhynchophylla,Quercus mongolica and Tilia mongolica.The results showed that there were considerable differences in the litter decomposition rate(k-rate)among the different forest types.The community weighted mean(CWM)traits of green leaves and litter quality explained 35.60%and 9.05%of the k-rate variations,respectively,and the interpretation rate of their interaction was 23.37%,indicating that the CWM traits and their interaction with litter quality are the main factors affecting the k-rate variations.In the recommended daily allowance,leaf nitrogen content,leaf dry matter content,leaf tannin content and specific leaf area were the main factors affecting the k-rate variations.Therefore,we suggest that future studies should focus on the effects of the CWM traits of green leaves on litter decomposition at the community level. 展开更多
关键词 Dongling Mountain of Beijing warm temperate forest ecosystem controlling factors of leaf litter decomposition community-weighted mean traits plant functional traits litter quality
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