Biodiversity explains maximum variation in productivity under experimental warming, nitrogen addition, and grazing in mountain grasslands.
Biodiversity explains maximum variation in productivity under experimental warming, nitrogen addition, and grazing in mountain grasslands.
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生物多样性解释了山地草原实验变暖、氮添加和放牧条件下生产力的最大变化
DOI：
10.1002/ece3.4483
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发表时间：
2018-10
影响因子：
2.6
通讯作者：
Cadotte MW
中科院分区：
文献类型：
--
作者：
Liu J;Liu D;Xu K;Gao LM;Ge XJ;Burgess KS;Cadotte MW
摘要人类活动引起的全球变暖、氮添加和过度放牧改变了植物群落，威胁着植物的生物多样性，可能影响群落的生产力，特别是在敏感的山地草原生态系统中。然而，它仍然是未知的植物生物多样性和社区生产力之间的关系是否在不同的人为影响，特别是如何在多个生物多样性方面的变化驱动这些对生产力的影响。在这里，我们测量了不同方面的生物多样性，包括功能和系统发育的丰富度和均匀度在山地草原沿着海拔高度的环境梯度在玉龙山，中国云南。我们将生物多样性指标结合在一系列线性混合效应模型中，以确定最简约的生产力预测因子，该预测因子由群落地上生物量估计。我们研究了生物多样性与生产力的关系如何受到实验变暖，氮添加和牲畜放牧的影响。物种丰富度，系统发育多样性和单一功能性状（叶氮含量，mg/g）代表了这些情景中最简约的组合，支持单一生物多样性指标无法完全解释生态系统功能的共识。生物多样性与生产力的关系为正相关，但处理对生物多样性与生产力关系的影响可忽略不计。我们的研究结果表明，强有力的生物多样性生产力的关系是一致的，在各种人为因素的环境变化。
Abstract Anthropogenic global warming, nitrogen addition, and overgrazing alter plant communities and threaten plant biodiversity, potentially impacting community productivity, especially in sensitive mountain grassland ecosystems. However, it still remains unknown whether the relationship between plant biodiversity and community productivity varies across different anthropogenic influences, and especially how changes in multiple biodiversity facets drive these impacts on productivity. Here, we measured different facets of biodiversity including functional and phylogenetic richness and evenness in mountain grasslands along an environmental gradient of elevation in Yulong Mountain, Yunnan, China. We combined biodiversity metrics in a series of linear mixed‐effect models to determine the most parsimonious predictors for productivity, which was estimated by aboveground biomass in community. We examined how biodiversity–productivity relationships were affected by experimental warming, nitrogen addition, and livestock‐grazing. Species richness, phylogenetic diversity, and single functional traits (leaf nitrogen content, mg/g) represented the most parsimonious combination in these scenarios, supporting a consensus that single‐biodiversity metrics alone cannot fully explain ecosystem function. The biodiversity–productivity relationships were positive and strong, but the effects of treatment on biodiversity–productivity relationship were negligible. Our findings indicate that the strong biodiversity–productivity relationships are consistent in various anthropogenic drivers of environmental change.
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影响因子：
4.8
作者：
Flynn, Dan F. B.;Mirotchnick, Nicholas;Naeem, Shahid
通讯作者：
Naeem, Shahid
影响因子：
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FAITH, DP
通讯作者：
FAITH, DP
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3.7
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Cadotte MW;Cavender-Bares J;Tilman D;Oakley TH
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Oakley TH
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2.8
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Botta-Dukát, Z
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56.9
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Hector, A;Schmid, B;Lawton, JH
通讯作者：
Lawton, JH