Secondary production of the central rangeland region of the United States

IF 4.3 2区 环境科学与生态学 Q1 ECOLOGY Ecological Applications Pub Date : 2024-05-10 DOI:10.1002/eap.2978
Edward J. Raynor, Justin D. Derner, Melannie D. Hartman, Christopher D. Dorich, William J. Parton, John R. Hendrickson, Keith R. Harmoney, Jameson R. Brennan, Clenton E. Owensby, Nicole E. Kaplan, Susan M. Lutz, David L. Hoover, David J. Augustine
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Abstract

Rangelands are the dominant land use across a broad swath of central North America where they span a wide gradient, from <350 to >900 mm, in mean annual precipitation. Substantial efforts have examined temporal and spatial variation in aboveground net primary production (ANPP) to precipitation (PPT) across this gradient. In contrast, net secondary productivity (NSP, e.g., primary consumer production) has not been evaluated analogously. However, livestock production, which is a form of NSP or primary consumer production supported by primary production, is the dominant non-cultivated land use and an integral economic driver in these regions. Here, we used long-term (mean length = 19 years) ANPP and NSP data from six research sites across the Central Great Plains with a history of a conservative stocking to determine resource (i.e., PPT)–productivity relationships, NSP sensitivities to dry-year precipitation, and regional trophic efficiencies (e.g., NSP:ANPP ratio). PPT–ANPP relationships were linear for both temporal (site-based) and spatial (among site) gradients. The spatial PPT–NSP model revealed that PPT mediated a saturating relationship for NSP as sites became more mesic, a finding that contrasts with many plant-based PPT–ANPP relationships. A saturating response to high growing-season precipitation suggests biogeochemical rather than vegetation growth constraints may govern NSP (i.e., large herbivore production). Differential sensitivity in NSP to dry years demonstrated that the primary consumer production response heightened as sites became more xeric. Although sensitivity generally decreased with increasing precipitation as predicted from known PPT–ANPP relationships, evidence suggests that the dominant species' identity and traits influenced secondary production efficiency. Non-native northern mixed-grass prairie was outperformed by native Central Great Plains rangeland in sensitivity to dry years and efficiency in converting ANPP to NSP. A more comprehensive understanding of the mechanisms leading to differences in producer and consumer responses will require multisite experiments to assess biotic and abiotic determinants of multi-trophic level efficiency and sensitivity.

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美国中部牧场地区的副业生产。
牧场是北美洲中部大片土地的主要用途,那里的年平均降水量梯度很大,从 900 毫米不等。在这一梯度上,人们对地上净初级生产力(ANPP)与降水量(PPT)之间的时空变化进行了大量研究。相比之下,净次生生产力(NSP,如初级消费者产量)尚未得到类似的评估。然而,畜牧业生产是净次生生产力或初级消费者生产的一种形式,得到初级生产的支持,是这些地区最主要的非耕地用途,也是不可或缺的经济驱动力。在此,我们使用了来自中部大平原六个研究地点的长期(平均长度 = 19 年)ANPP 和 NSP 数据,这些地点都有保守的牲畜放养历史,以确定资源(即 PPT)-生产力关系、NSP 对干旱年降水的敏感性以及区域营养效率(例如 NSP:ANPP 比率)。在时间(基于地点)和空间(地点之间)梯度上,PPT-ANPP 关系都是线性的。空间 PPT-NSP 模型显示,随着地点变得更加中度,PPT 对 NSP 起着介导饱和关系的作用,这一发现与许多基于植物的 PPT-ANPP 关系形成鲜明对比。对高生长季降水量的饱和反应表明,可能是生物地球化学因素而不是植被生长限制因素(即大型食草动物的生产)在支配着近缘种群。NSP 对干旱年份的不同敏感性表明,随着地点变得更加干旱,初级食草动物的生产反应也会增强。虽然正如已知的 PPT-ANPP 关系所预测的那样,随着降水量的增加,敏感性普遍降低,但有证据表明,优势物种的特性和特征会影响次级生产效率。在对干旱年份的敏感性以及将 ANPP 转化为 NSP 的效率方面,非本地的北方杂草草原优于本地的中部大平原牧场。要更全面地了解导致生产者和消费者反应差异的机制,需要进行多地点实验,以评估多营养级效率和敏感性的生物和非生物决定因素。
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来源期刊
Ecological Applications
Ecological Applications 环境科学-环境科学
CiteScore
9.50
自引率
2.00%
发文量
268
审稿时长
6 months
期刊介绍: The pages of Ecological Applications are open to research and discussion papers that integrate ecological science and concepts with their application and implications. Of special interest are papers that develop the basic scientific principles on which environmental decision-making should rest, and those that discuss the application of ecological concepts to environmental problem solving, policy, and management. Papers that deal explicitly with policy matters are welcome. Interdisciplinary approaches are encouraged, as are short communications on emerging environmental challenges.
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