Precipitation anomalies may affect productivity resilience by shifting plant community properties

IF 5.3 1区 环境科学与生态学 Q1 ECOLOGY Journal of Ecology Pub Date : 2024-12-30 DOI:10.1111/1365-2745.14471
Sierra Perez, Mark Hammond, Jennifer Lau
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For example, droughts can alter community composition (Gao et al., <span>2022</span>; Hoover et al., <span>2014</span>; Xu et al., <span>2021</span>) and drive significant reductions in primary productivity (Gao et al., <span>2019</span>; Liu et al., <span>2023</span>; Su et al., <span>2022</span>), and these impacts often persist post-drought (‘drought legacies’; Müller &amp; Bahn, <span>2022</span>; Vilonen et al., <span>2022</span>). The consequences of highly wet periods, by contrast, have thus far received less attention, despite heavy rainfall events increasing over the past century throughout the contiguous United States and in many other regions worldwide (IPCC, <span>2021</span>; Jay et al., <span>2018</span>). Further, the impacts of extreme wet and dry events are often evaluated independently (although see Isbell et al., <span>2015</span>; Sala et al., <span>2012</span>; Wilcox et al., <span>2017</span>), despite both types of ‘precipitation events’ (see Box 1) increasing in many regions. Therefore, to persist and maintain critical ecosystem functions plant communities must be resilient to both of these contrasting precipitation events.</p>\n<div>\n<h3><span>BOX 1. </span>Key terms and definitions</h3>\n<p>\n</p><div>\n<div tabindex=\"0\">\n<table>\n<tbody>\n<tr>\n<td><i>Precipitation event</i>: Periods when water availability is outside ‘normal’; a drought (SPEI &lt; −1) or wet event (SPEI &gt; 1)</td>\n</tr>\n<tr>\n<td><i>Standardized precipitation–evapotranspiration index (SPEI)</i>: Measure of an ecosystem's water availability resulting from the difference between inputs from precipitation and outputs from potential evapotranspiration</td>\n</tr>\n<tr>\n<td><i>Resilience</i>: A multi-dimensional quality that describes an ecosystem's capacity to absorb perturbations and persist in a reference state</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\"><i>Resistance</i>: The degree to which an ecosystem function (e.g. productivity) changes in response to a perturbation</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\"><i>Recovery</i>: The rate at which an ecosystem function returns to pre-perturbation conditions in the year after a perturbation; sometimes called ‘resilience’ (e.g. Pimm, <span>1984</span>)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\"><i>Invariability</i>: The degree to which an ecosystem function varies through time. Often used synonymously with ‘stability’</td>\n</tr>\n</tbody>\n</table>\n</div>\n<div></div>\n</div>\n<p></p>\n</div>\n<p>Resilience is a multi-dimensional quality that describes an ecosystem's capacity to absorb perturbations and persist in a reference state (Box 1; Van Meerbeek et al., <span>2021</span>). While key assumptions of the resilience concept vary among disciplines (i.e. ‘ecological resilience’ sensu Holling, <span>1973</span> vs. ‘engineering resilience’ sensu Pimm, <span>1984</span>), the framework broadly captures both a system's responses to perturbation events and long-term patterns. We can begin to explain variation in resilience across communities and ecosystems by quantifying aspects of resilience—resistance, recovery, and invariability—and linking them to community properties. Resistance is the degree to which an ecosystem function (e.g. productivity) changes in response to a perturbation. Recovery (termed ‘resilience’ by Pimm, <span>1984</span>) is the rate at which an ecosystem function returns to pre-perturbation conditions. Invariability (often called ‘stability’) expresses how an ecosystem function varies through time. While resilience is often assumed to be beneficial, resilience does not necessarily confer increased ecosystem functioning. For example, wet events can increase productivity (Wilcox et al., <span>2017</span>), and therefore, resilience in this context would diminish productivity benefits.</p>\n<p>Plant community properties, including species richness, evenness, and dominance, can influence resilience to environmental perturbations, including precipitation events. However, the properties that promote aspects of resilience to droughts may differ from those promoting resilience to highly wet conditions. Species richness is widely demonstrated to promote resilience through functional diversity and redundancy (i.e. diversity-stability relationship; Ives &amp; Carpenter, <span>2007</span>; Tilman et al., <span>1996</span>). Given that a speciose community should exhibit greater response diversity—the range of species' responses to an environmental change (Elmqvist et al., <span>2003</span>)—diverse communities on average should have a higher probability of maintaining critical functions under stress (i.e. biological insurance theory; Yachi &amp; Loreau, <span>1999</span>). Prior work leveraging data from 46 grassland diversity manipulation experiments found species richness increased productivity resistance to precipitation events (both wet and dry events), as well as long-term productivity invariability, but not post-event recovery (Isbell et al., <span>2015</span>). Other aspects of diversity, such as evenness and dominance can further modulate resilience by affecting functional trait distributions (Hillebrand et al., <span>2008</span>). Although often thought of as being antithetical to one another, evenness and dominance both likely contribute to determining trait distributions in non-monodominant communities. First, evenness within a community can promote resilience by enhancing trait diversity, functional redundancy, and temporal complementarity among species (Loreau et al., <span>2021</span>). This is distinct from the effects of richness because even when communities have the same richness, they can differ in evenness. In a low-evenness community, low-abundance species contribute minimally to functional diversity (i.e. low functional evenness). Therefore, not only species counts, but also abundances within the community may be an important determinant of resilience. Second, as dominant species largely determine community-weighted trait values, dominants that are resistant to a given perturbation could confer community-level resilience to that perturbation by sustaining key functions and interactions. Because both species richness and evenness act by increasing trait diversity and temporal complementarity and different species are likely to be more resistant to dry versus wet extremes, these properties might be expected to promote resilience to <i>both</i> wet and dry extreme events. In contrast, whether dominance promotes resilience to wet versus dry events likely depends on the specific dominant species and whether it is resistant to drought, inundation, or both.</p>\n<p>The characteristics of constituent species and functional groups additionally impact resilience through differences in physiological tolerances, life history and demographic traits, and responses to environmental alterations (Lloret et al., <span>2012</span>; McGill et al., <span>2006</span>; Paniw et al., <span>2021</span>). For instance, a study across eight European grasslands found graminoids are more drought sensitive than forbs (Mackie et al., <span>2019</span>), although a study comparing drought responses between a single grass and forb species found the opposite (Hoover et al., <span>2014</span>). Similarly, under stress, non-natives may be less adapted to resource reductions like drought, resulting in reduced growth relative to native species (Liu et al., <span>2017</span>; Valliere et al., <span>2019</span>), although the opposite has also been observed (Meisner et al., <span>2013</span>). Thus, the relative abundances of certain species and functional groups within a community may further regulate productivity resilience although existing data are still too limited to yield general predictions.</p>\n<p>While community properties modulate community resilience to precipitation events, they also respond to precipitation events. As a result, community responses to extreme wet and dry years may impact a community's resilience to future events. Such shifts in potentially relevant community properties, including richness, functional diversity, and forb and grass abundances, have been observed in grassland communities in response to drought (Gao et al., <span>2022</span>; Hoover et al., <span>2014</span>; Xu et al., <span>2021</span>) and elevated precipitation (Collins et al., <span>2012</span>; Yang et al., <span>2011</span>). Although precipitation legacies—shifts in community properties and processes driven by drought and wet extremes—are increasingly appreciated (Müller &amp; Bahn, <span>2022</span>; Sala et al., <span>2012</span>), their impacts on resilience to subsequent events remain poorly characterized. Further, as wet extremes tend to elevate productivity (Sala et al., <span>2012</span>; Wilcox et al., <span>2017</span>), we might assume that we can disregard their impacts on a system's resilience. However, wet events may indirectly impact productivity resilience to future extreme events via their effects on community properties, as described above. Consequently, as precipitation is predicted to become increasingly variable under climate change (IPCC, <span>2021</span>; Smith, <span>2011</span>), evaluating the interplay between droughts and wet extremes is critical for accurately capturing the current resilience of plant communities and their functions and for predicting resilience to future precipitation events.</p>\n<p>Leveraging a two-decadal (2000–2020) record of primary productivity in a temperate grassland community, we evaluated the community-level factors regulating the resistance and recovery of productivity to contrasting precipitation events (Aim 1). We considered how community properties influenced long-term productivity invariability over the two decades (Aim 2). Finally, we explored how the focal community properties associated with resilience responded to precipitation and if precipitation legacies occur within the community (Aim 3). 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引用次数: 0

Abstract

1 INTRODUCTION

Climate change is disrupting historic environmental regimes, including increases in the frequency and severity of extreme climatic events, such as droughts and intense rainfall periods (IPCC, 2021; Smith, 2011). The impacts of droughts on plant communities and their associated ecosystem functions are well appreciated. For example, droughts can alter community composition (Gao et al., 2022; Hoover et al., 2014; Xu et al., 2021) and drive significant reductions in primary productivity (Gao et al., 2019; Liu et al., 2023; Su et al., 2022), and these impacts often persist post-drought (‘drought legacies’; Müller & Bahn, 2022; Vilonen et al., 2022). The consequences of highly wet periods, by contrast, have thus far received less attention, despite heavy rainfall events increasing over the past century throughout the contiguous United States and in many other regions worldwide (IPCC, 2021; Jay et al., 2018). Further, the impacts of extreme wet and dry events are often evaluated independently (although see Isbell et al., 2015; Sala et al., 2012; Wilcox et al., 2017), despite both types of ‘precipitation events’ (see Box 1) increasing in many regions. Therefore, to persist and maintain critical ecosystem functions plant communities must be resilient to both of these contrasting precipitation events.

BOX 1. Key terms and definitions

Precipitation event: Periods when water availability is outside ‘normal’; a drought (SPEI < −1) or wet event (SPEI > 1)
Standardized precipitation–evapotranspiration index (SPEI): Measure of an ecosystem's water availability resulting from the difference between inputs from precipitation and outputs from potential evapotranspiration
Resilience: A multi-dimensional quality that describes an ecosystem's capacity to absorb perturbations and persist in a reference state
Resistance: The degree to which an ecosystem function (e.g. productivity) changes in response to a perturbation
Recovery: The rate at which an ecosystem function returns to pre-perturbation conditions in the year after a perturbation; sometimes called ‘resilience’ (e.g. Pimm, 1984)
Invariability: The degree to which an ecosystem function varies through time. Often used synonymously with ‘stability’

Resilience is a multi-dimensional quality that describes an ecosystem's capacity to absorb perturbations and persist in a reference state (Box 1; Van Meerbeek et al., 2021). While key assumptions of the resilience concept vary among disciplines (i.e. ‘ecological resilience’ sensu Holling, 1973 vs. ‘engineering resilience’ sensu Pimm, 1984), the framework broadly captures both a system's responses to perturbation events and long-term patterns. We can begin to explain variation in resilience across communities and ecosystems by quantifying aspects of resilience—resistance, recovery, and invariability—and linking them to community properties. Resistance is the degree to which an ecosystem function (e.g. productivity) changes in response to a perturbation. Recovery (termed ‘resilience’ by Pimm, 1984) is the rate at which an ecosystem function returns to pre-perturbation conditions. Invariability (often called ‘stability’) expresses how an ecosystem function varies through time. While resilience is often assumed to be beneficial, resilience does not necessarily confer increased ecosystem functioning. For example, wet events can increase productivity (Wilcox et al., 2017), and therefore, resilience in this context would diminish productivity benefits.

Plant community properties, including species richness, evenness, and dominance, can influence resilience to environmental perturbations, including precipitation events. However, the properties that promote aspects of resilience to droughts may differ from those promoting resilience to highly wet conditions. Species richness is widely demonstrated to promote resilience through functional diversity and redundancy (i.e. diversity-stability relationship; Ives & Carpenter, 2007; Tilman et al., 1996). Given that a speciose community should exhibit greater response diversity—the range of species' responses to an environmental change (Elmqvist et al., 2003)—diverse communities on average should have a higher probability of maintaining critical functions under stress (i.e. biological insurance theory; Yachi & Loreau, 1999). Prior work leveraging data from 46 grassland diversity manipulation experiments found species richness increased productivity resistance to precipitation events (both wet and dry events), as well as long-term productivity invariability, but not post-event recovery (Isbell et al., 2015). Other aspects of diversity, such as evenness and dominance can further modulate resilience by affecting functional trait distributions (Hillebrand et al., 2008). Although often thought of as being antithetical to one another, evenness and dominance both likely contribute to determining trait distributions in non-monodominant communities. First, evenness within a community can promote resilience by enhancing trait diversity, functional redundancy, and temporal complementarity among species (Loreau et al., 2021). This is distinct from the effects of richness because even when communities have the same richness, they can differ in evenness. In a low-evenness community, low-abundance species contribute minimally to functional diversity (i.e. low functional evenness). Therefore, not only species counts, but also abundances within the community may be an important determinant of resilience. Second, as dominant species largely determine community-weighted trait values, dominants that are resistant to a given perturbation could confer community-level resilience to that perturbation by sustaining key functions and interactions. Because both species richness and evenness act by increasing trait diversity and temporal complementarity and different species are likely to be more resistant to dry versus wet extremes, these properties might be expected to promote resilience to both wet and dry extreme events. In contrast, whether dominance promotes resilience to wet versus dry events likely depends on the specific dominant species and whether it is resistant to drought, inundation, or both.

The characteristics of constituent species and functional groups additionally impact resilience through differences in physiological tolerances, life history and demographic traits, and responses to environmental alterations (Lloret et al., 2012; McGill et al., 2006; Paniw et al., 2021). For instance, a study across eight European grasslands found graminoids are more drought sensitive than forbs (Mackie et al., 2019), although a study comparing drought responses between a single grass and forb species found the opposite (Hoover et al., 2014). Similarly, under stress, non-natives may be less adapted to resource reductions like drought, resulting in reduced growth relative to native species (Liu et al., 2017; Valliere et al., 2019), although the opposite has also been observed (Meisner et al., 2013). Thus, the relative abundances of certain species and functional groups within a community may further regulate productivity resilience although existing data are still too limited to yield general predictions.

While community properties modulate community resilience to precipitation events, they also respond to precipitation events. As a result, community responses to extreme wet and dry years may impact a community's resilience to future events. Such shifts in potentially relevant community properties, including richness, functional diversity, and forb and grass abundances, have been observed in grassland communities in response to drought (Gao et al., 2022; Hoover et al., 2014; Xu et al., 2021) and elevated precipitation (Collins et al., 2012; Yang et al., 2011). Although precipitation legacies—shifts in community properties and processes driven by drought and wet extremes—are increasingly appreciated (Müller & Bahn, 2022; Sala et al., 2012), their impacts on resilience to subsequent events remain poorly characterized. Further, as wet extremes tend to elevate productivity (Sala et al., 2012; Wilcox et al., 2017), we might assume that we can disregard their impacts on a system's resilience. However, wet events may indirectly impact productivity resilience to future extreme events via their effects on community properties, as described above. Consequently, as precipitation is predicted to become increasingly variable under climate change (IPCC, 2021; Smith, 2011), evaluating the interplay between droughts and wet extremes is critical for accurately capturing the current resilience of plant communities and their functions and for predicting resilience to future precipitation events.

Leveraging a two-decadal (2000–2020) record of primary productivity in a temperate grassland community, we evaluated the community-level factors regulating the resistance and recovery of productivity to contrasting precipitation events (Aim 1). We considered how community properties influenced long-term productivity invariability over the two decades (Aim 2). Finally, we explored how the focal community properties associated with resilience responded to precipitation and if precipitation legacies occur within the community (Aim 3). Together, our research investigates feedbacks between precipitation events, community properties, and resilience to explore if the oscillating precipitation events predicted for the future will have consequences for plant community resilience.

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降水异常可能通过改变植物群落特性而影响生产力恢复力
气候变化正在破坏历史环境制度,包括极端气候事件的频率和严重程度的增加,如干旱和强降雨期(IPCC, 2021;史密斯,2011)。干旱对植物群落及其相关生态系统功能的影响已得到充分认识。例如,干旱可以改变群落组成(Gao et al., 2022;Hoover et al., 2014;Xu et al., 2021),并推动初级生产力显著降低(Gao et al., 2019;Liu et al., 2023;Su et al., 2022),而这些影响往往在干旱后持续存在(“干旱遗产”;穆勒,铁路,2022;Vilonen et al., 2022)。相比之下,尽管在过去一个世纪里,美国周边地区和全球许多其他地区的强降雨事件有所增加,但高湿期的后果迄今受到的关注较少(IPCC, 2021;Jay et al., 2018)。此外,极端干湿事件的影响通常是独立评估的(尽管见Isbell等人,2015;Sala et al., 2012;Wilcox et al., 2017),尽管这两种类型的“降水事件”(见框1)在许多地区都在增加。因此,为了维持和维持关键的生态系统功能,植物群落必须对这两种不同的降水事件具有弹性。框1。关键术语和定义降水事件:可用水量超出“正常”的时期;干旱(SPEI &lt;−1)或潮湿事件(SPEI &gt; 1)标准化降水蒸散发指数(SPEI):由降水输入和潜在蒸散发输出之间的差异引起的生态系统水分有效性的度量。恢复力:描述生态系统吸收扰动并保持参考状态的能力的多维质量。生态系统功能(如生产力)响应扰动而变化的程度。恢复:扰动后一年内生态系统功能恢复到扰动前状态的速率;不变性:生态系统功能随时间变化的程度。弹性通常与“稳定性”同义。弹性是一种多维度的品质,描述了生态系统吸收扰动并维持在参考状态的能力(框1;Van Meerbeek et al., 2021)。虽然弹性概念的关键假设因学科而异(即“生态弹性”霍林(Holling, 1973)与“工程弹性”皮姆(Pimm, 1984),但该框架广泛地捕捉了系统对扰动事件和长期模式的反应。我们可以通过量化复原力的各个方面——抵抗、恢复和不变性——并将它们与社区属性联系起来,开始解释不同社区和生态系统的复原力差异。抵抗力是生态系统功能(如生产力)响应扰动而发生变化的程度。恢复(Pimm, 1984年称之为“恢复力”)是指生态系统功能恢复到扰动前状态的速率。不变性(通常称为“稳定性”)表示生态系统功能如何随时间变化。虽然复原力通常被认为是有益的,但复原力并不一定会增加生态系统的功能。例如,潮湿事件可以提高生产力(Wilcox等人,2017),因此,在这种情况下,弹性会降低生产力效益。植物群落特性,包括物种丰富度、均匀度和优势度,可以影响对环境扰动(包括降水事件)的恢复力。然而,促进抗旱能力的特性可能不同于那些促进抗旱能力的特性。物种丰富度通过功能多样性和冗余(即多样性-稳定性关系;艾夫斯,木匠,2007;Tilman et al., 1996)。考虑到物种群落应该表现出更大的响应多样性——物种对环境变化的响应范围(Elmqvist等人,2003)——多样性群落在压力下维持关键功能的平均概率应该更高(即生物保险理论;Yachi,Loreau, 1999)。先前的工作利用了46个草原多样性操纵实验的数据,发现物种丰富度增加了对降水事件(湿事件和干事件)的生产力抵抗能力,以及长期生产力不变性,但没有事件后恢复(Isbell等人,2015)。多样性的其他方面,如均匀性和优势性,可以通过影响功能性状分布进一步调节弹性(Hillebrand et al., 2008)。虽然通常被认为是相互对立的,但均匀性和优势性都可能决定非单优势群落的特征分布。
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来源期刊
Journal of Ecology
Journal of Ecology 环境科学-生态学
CiteScore
10.90
自引率
5.50%
发文量
207
审稿时长
3.0 months
期刊介绍: Journal of Ecology publishes original research papers on all aspects of the ecology of plants (including algae), in both aquatic and terrestrial ecosystems. We do not publish papers concerned solely with cultivated plants and agricultural ecosystems. Studies of plant communities, populations or individual species are accepted, as well as studies of the interactions between plants and animals, fungi or bacteria, providing they focus on the ecology of the plants. We aim to bring important work using any ecological approach (including molecular techniques) to a wide international audience and therefore only publish papers with strong and ecological messages that advance our understanding of ecological principles.
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