四川省生物多样性与生态系统多功能性分析

生态系统服务与人类福祉和可持续发展息息相关,近年来生物多样性丧失极大影响了生态系统服务。探究生物多样性与生态系统服务之间的关系成为当前生态学领域内的一个重大科学问题。以四川省各乡镇为单元,计算了景观尺度上的多样性指数,评估了四川省水土保持功能、水源涵养功能、固碳功能,并研究了两者之间关系。结果表明：在景观尺度上,Shannon''s多样性指数、修正Simpson''s多样性指数、景观丰度三种多样性指数可以较好表征四川省生物多样性空间分布格局。由景观丰度、欧式最近邻距离的标准差、景观丰度密度构成解释变量矩阵,RDA模型矫正解释率42.25%（P<0.001）,可更好解释由土壤保持功能、水源涵养功能、固碳功能构成的响应变量矩阵。四川省生物多样性及生态系统服务关系的模式有以下几种：（1）成都平原区区县空间距离较近,在生态系统服务和生物多样性梯度均差异较小;（2）盆周山地区、盆地丘陵区各区县在水土保持功能梯度上差异较大,与多样性关系较弱;（3）川西高原区区县在固碳、水源涵养梯度上差异较大,并有协同关系,多样性梯度差异较大;（4）川西高山峡谷区、西南山地区区县之间生态系统服务和多样性差异较大,生态系统服务可能存在强烈权衡关系,需进一步引入解释因子。     

草原灌丛化对生态系统多功能性的影响

草原灌丛化现象在干旱半干旱区广泛发生,影响了生态系统的结构、过程和功能。生态系统具有同时提供多种功能的能力,即生态系统多功能性。灌丛化是否会引起草原生态系统多功能性的减少,其内在的作用机制又是什么？这些问题仍有待明晰。理解草原灌丛化对生态系统多功能性的影响,对于促进草原地区"草-畜-人"平衡和实现区域可持续发展至关重要。从响应规律、影响路径和控制因素三个方面总结评述了草原灌丛化对生态系统多功能性影响的研究进展,主要包括:(1)阐明了单一生态系统功能和多种生态系统功能对草原灌丛化的响应特征;(2)从生物路径、非生物路径以及气候变化和人类活动的影响方面探讨了灌丛化对生态系统多功能性的影响路径;(3)从灌丛化物种、灌丛化阶段和草原类型三个方面明晰了草原灌丛化对生态系统多功能性影响的控制因素。在此基础上,针对灌丛化对生态系统多功能性的影响机制,对生产-生态功能权衡的影响等方面对未来研究进行了展望,并面向可持续发展目标探讨了灌丛化生态系统的可持续管理路径。研究可为我国灌丛化草原的恢复和管理提供支撑。     

生物多样性与生态系统多功能性的关系研究进展

生物多样性与生态系统功能关系是生态学研究的热点之一,以往研究多关注生物多样性与单一生态系统功能之间的关系,然而生态系统能够同时提供多种功能和服务即生态系统多功能性(ecosystem multifunctionality, EMF),仅考虑单一生态系统功能会低估生物多样性的重要性。近年来,EMF研究的重要性受到更多重视,生物多样性与生态系统多功能性(biodiversity and ecosystem multifunctionality, BEMF)关系成为生态学研究新的热点。梳理近15年的研究发现,不同维度、不同尺度的单一或多营养级生物多样性均会对EMF产生显著的影响,并且在全球变化的背景下,自然干扰与人为干扰均会影响生物多样性与生态系统多功能性从而改变BEMF关系,EMF测度方法的差异也可能导致BEMF关系的不一致。生物多样性维度(尺度)选择的局限、不同EMF测度方法的认知差异、BEMF时空数据库的缺乏以及BEMF关系研究方法的单一等问题阻碍了BEMF关系的深入探究。未来研究应对现有测度方法进行深入比较并发展通用的新方法,深入探究多维度、多尺度生物多样性对EMF影响的综合作用。此...     

生物多样性与生态系统多功能性: 进展与展望

全球变化和人类活动引起的生物多样性丧失将会对生态系统功能产生诸多不利影响, 如生产力下降、养分循环失衡等。因此, 始于20世纪90年代的生物多样性与生态系统功能(biodiversity and ecosystem functioning, BEF)研究一直是生态学界关注的热点。然而, 随着研究的深入, 人们逐步认识到生态系统并非仅仅提供单个生态系统功能, 而是能同时提供多个功能, 这一特性被称之为“生态系统多功能性” (ecosystem multifunctionality, EMF)。尽管有此认识, 但直到2007年, 研究者才开始定量描述生物多样性与生态系统多功能性(biodiversity and ecosystem multifunctionality, BEMF)的关系。目前, BEMF研究已成为生态学研究的一个重要议题, 但仍存在很多问题和争议, 如缺少公认的多功能性测度标准、生态系统不同功能之间的权衡问题等。本文概述了BEMF研究的发展历程、常用的量化方法、EMF的维持机制和不同研究视角下BEMF的关系。针对现有研究中的不足, 本文还总结了需要进一步深入研究的地方, 特别强调了优化EMF测度方法和研究不同维度生物多样性与EMF间关系的重要性, 以期对未来的BEMF研究有所帮助。     

刈割、围封、放牧三种利用方式下草原生态系统的多功能性与植物物种多样性之间的关系

随着全球变化对生物多样性的影响不断加剧, 生物多样性与生态系统功能之间相互关系(BEF)的研究显得极为重要。过去的20多年, BEF的研究大多集中在对物种多样性与单一或少数生态系统功能之间关系的探讨, 但生态系统最为重要的价值是同时维持多种服务和功能的能力, 基于此, 该文首次在国内引入近年来不断完善的生态系统多功能性(multifunctionality)的概念, 并对目前主流的评价方法进行了改进, 从而对内蒙古三种利用方式(刈割、围封、放牧)下的草地群落进行了多功能性评价, 并探讨了多功能性与物种多样性之间的关系。结果显示本研究改进的方法和目前主流方法评价得出的多功能性指数在样方和样地尺度上都有很高的相关性(R² = 0.6956, p < 0.0001; R² = 0.9231, p < 0.0001), 表明该文作者改进后的方法是可靠的。重度放牧的草地群落物种多样性水平最低, 绝大多数土壤功能指标较差, 表现出退化特征; 7年的围封和刈割群落均有较高的物种多样性水平和改善的土壤功能指标; 三者的多功能性指数为刈割(0.2178) >围封(0.0704) >放牧(-0.8031)。植被样方主要沿水肥梯度分布; 多样性指数中, 均匀度指数(Pielou index)和丰富度指数(Margelf index)对多功能性的影响作用最大, 均为样方尺度(R² = 0.1871, p < 0.0001; R² = 0.1601, p < 0.0001)小于样地尺度(R² = 0.5921, p = 0.0093; R² = 0.7499, p = 0.0007), 有尺度依赖性; 多功能性在样方和样地尺度上均与物种均匀度呈线性正相关关系, 而与物种丰富度呈单峰曲线关系。该文研究结果表明, 相对于重度放牧和围封, 刈割更有利于维持该地区生态系统的多功能性; 物种丰富度适中且物种分布均匀的生态系统可能有更好的多功能性。     

生态系统多功能性的指标选择与驱动因子: 研究现状与展望

全球变化和人类活动正以空前的速度在世界范围内改变着生物多样性, 这导致了全球生物多样性的锐减以及生产力的下降、病虫害的增加和抗入侵能力的减弱等生态问题。近30年来, 生态学家开始对于生物多样性的持续丧失是否以及如何影响生态系统功能的问题越来越感兴趣, 生物多样性与生态系统功能(biodiversity and ecosystem functioning, BEF)关系的研究应运而生, 并成为生态学研究的热点之一。但长期以来, 研究者更多地关注单一生态系统功能, 而忽略了生态系统能够同时提供多种生态系统功能的能力, 即生态系统多功能性(ecosystem multifunctionality, EMF)。本文综述了EMF研究中功能指标的选择、生物多样性的不同维度、微生物多样性对EMF的影响以及其他非生物因子对EMF的驱动等进展。因只考虑单一功能可能会低估生物多样性对整体生态系统功能的影响, 故生物多样性与生态系统多功能性(BEMF)关系的研究成为BEF关系研究的重点。近年来, BEMF关系的研究发展较快, 在不同生态系统(包括水生、草地、森林、旱地、农业等)、不同研究尺度(从区域到全球尺度)、BEMF关系的驱动机制(从单一驱动机制到多种驱动机制共同作用)、研究方法(包括新概念以及新的量化方法的提出和应用)等方面均取得了新的进展。但仍有不足之处, 如对于EMF研究中功能指标的选取没有统一的标准、对地下微生物多样性的关注度不够、涉及多营养级水平下的BEMF关系研究较少、驱动EMF的机制仍存在争论等。未来应加强对于功能指标选取的标准研究, 综合分析地上、地下生物多样性以及非生物因子对EMF的整体影响, 加强生态系统多服务性(ecosystem multiserviceability, EMS)方法的研究和应用。     

天山北坡中段草地生态系统多功能性对放牧的响应

生态系统多功能性(EMF)是指生态系统能够提供多种服务和功能的能力。放牧是草地资源实现开发和利用的主要途径之一,但草地EMF对放牧干扰的响应尚不明确,且其驱动因子仍不清楚。以天山北坡中段草地生态系统为研究对象,基于野外植物群落调查和室内土壤理化性质分析以及微生物高通量测序,探讨轻度放牧、重度放牧和未放牧处理下草地EMF的变化规律。结果表明,(1)相较于重度放牧,轻度放牧显著提高草地生产力、土壤碳养分、土壤氮养分、土壤磷养分、土壤钾养分等生态系统单一功能以及多功能性(P<0.05)。(2)线性拟合结果表明,草地生态系统单功能和多功能性与植物Shannon-Wiener指数、土壤细菌Shannon-Wiener指数、土壤真菌Shannon-Wiener指数、土壤含水量之间呈显著正相关关系(P<0.05),与土壤容重呈显著负相关关系(P<0.05)。(3)通过结构方程模型总体来看,放牧能够直接对EMF产生负向效应,也可通过植物多样性和土壤细菌多样性及其二者之间的相互作用间接地对EMF产生负向效应,并且同时考虑多个生态系统功能对放牧的响应可以更好的反映整个生态系统的变化。研究强调了植物群落多样性和土壤微生物群落多样性对维持草地生态系统功能及多功能性的重要性,轻度放牧处理是更好地保护生物多样性及维持草地EMF的可行策略,该结果揭为合理制定天山北坡中段草地生态系统的可持续经营和管理提供了理论参考。     

生物多样性的生态系统功能

本文从以下几个方面综述了生物多样性对生态系统功能和作用的影响：第一,几个关于物种在生态系统中的不同地位和生物多样性如何影响生态系统功能的假说;第二,生物多样性与生态系统的稳定性;第三,生物多样性如何影响生态系统的生产力;第四,生物多样性对生态系统可持续性的影响。此外还提出了几个需要继续探讨和关注的问题。     

生物多样性的生态系统功能

本文从以下几个方面综述了生物多样性对生态系统功能和作用的影响 :第一 ,几个关于物种在生态系统中的不同地位和生物多样性如何影响生态系统功能的假说 ;第二 ,生物多样性与生态系统的稳定性 ;第三 ,生物多样性如何影响生态系统的生产力 ;第四 ,生物多样性对生态系统可持续性的影响。此外还提出了几个需要继续探讨和关注的问题     

微生物多样性降低对土壤多功能性的影响

微生物多样性是保证土壤多功能性的重要因素,其在分解土壤有机质、促进地球化学循环和植物生长,以及抑制土壤传播病害等方面发挥着至关重要的作用。随着农业生产模式的改变和全球气候的变化,加之工业生产的废水废料不断进入土壤中,导致土壤微生物的多样性明显减少,给生态系统功能带来了严重的不利影响。基于此,文章通过收集整理相关研究成果和文献资料,围绕微生物多样性降低对土壤多功能性的影响进行综述。     

A niche for ecosystem multifunctionality in global change research

Concern about human modification of Earth's ecosystems has recently motivated ecologists to address how global change drivers will impact the simultaneous provisioning of multiple functions, termed ecosystem multifunctionality (EMF). However, metrics of EMF have often been applied in global change studies with little consideration of the information they provide beyond single functions, or how and why EMF may respond to global change drivers. Here, we critically review the current state of this rapidly expanding field and provide a conceptual framework to guide the effective incorporation of EMF in global change research. In particular, we emphasize the need for a priori identification and explicit testing of the biotic and abiotic mechanisms through which global change drivers impact EMF, as well as assessing correlations among multiple single functions because these patterns underlie shifts in EMF. While the role of biodiversity in mediating global change effects on EMF has justifiably received much attention, empirical support for effects via other biotic and physicochemical mechanisms are also needed. Studies also frequently stated the importance of measuring EMF responses to global change drivers to understand the potential consequences for multiple ecosystem services, but explicit links between measured functions and ecosystem services were missing from many such studies. While there is clear potential for EMF to provide novel insights to global change research, predictive understanding will be greatly improved by insuring future research is strongly hypothesis‐driven, is designed to explicitly test multiple abiotic and biotic mechanisms, and assesses how single functions and their covariation drive emergent EMF responses to global change drivers.     

干扰对生态系统多功能性的影响研究进展

干扰作为生态系统中的一种固有属性,在部分生态系统中已严重影响到了该地区生态系统平衡。生态系统多功能性作为衡量生态系统的一个综合指标,能够同时反映生态系统的整体功能。随着干扰活动的不断变化,干扰对生态系统的影响也受到社会各界广泛关注,针对干扰对生态系统多功能性的研究也在不断增加,但由于对干扰对生态系统多功能性的影响还缺乏系统总结,因此本文从概念进展、量化指标、测度方法、影响因子四个方面论述生态系统多功能性的研究现状,结合干扰对生态系统多功能性的研究,对比分析其研究进展,以期为今后生态系统多功能性的研究提供参考。针对目前森林生态系统多功能性研究存在的问题,今后的相关研究应从以下三点实现突破:(1)生态系统多功能性的应用性研究;(2)评估各生态系统功能之间的相互作用对生态系统多功能性的影响研究;(3)干扰对生态系统多功能性影响的机制性研究。以期为进一步探索干扰对生态系统多功能性的影响机制研究提供借鉴,以推动该领域的发展。     

Ecosystem multifunctionality lowers as grasslands under restoration approach their target habitat type

Biodiversity is declining at a rapid pace and, with it, the ecosystem functions that support ecosystem services. To counter this, ecosystem restoration is necessary. While the relationship between biodiversity and ecosystem functioning has been studied in depth, the relationship between ecosystem restoration and ecosystem functioning is studied less. We performed an observational study in grasslands undergoing restoration management toward Nardus grassland. Eight ecosystem functions, representing flows of energy, matter or information between functional compartments, were measured across five successive restoration phases along the restoration gradient. The levels of functioning were then compared along the gradient for both the individual functions and a multifunctionality index. We hypothesized that plant richness increases when grasslands are more restored and this increase in biodiversity is paralleled by an increase in ecosystem functioning. In our study, the degraded grasslands, generally occurring on more nutrient-rich soils, were dominated by competitive fast-growing species, resulting in higher process rates and thus in higher, faster functioning. Likewise, more restored grasslands exhibited slower process rates and, thus, lower functioning. When studying ecosystem functioning, value judgments are easily made. Especially in a restoration context, high functioning does not necessarily equals well functioning, as this depends on the stakeholder perspective. We need to ask ourselves if a high functioning ecosystem is most desirable, especially in a restoration or conservation context. Policy frameworks will need to balance these goals.     

Land use intensification alters ecosystem multifunctionality via loss of biodiversity and changes to functional composition

Global change, especially land‐use intensification, affects human well‐being by impacting the delivery of multiple ecosystem services (multifunctionality). However, whether biodiversity loss is a major component of global change effects on multifunctionality in real‐world ecosystems, as in experimental ones, remains unclear. Therefore, we assessed biodiversity, functional composition and 14 ecosystem services on 150 agricultural grasslands differing in land‐use intensity. We also introduce five multifunctionality measures in which ecosystem services were weighted according to realistic land‐use objectives. We found that indirect land‐use effects, i.e. those mediated by biodiversity loss and by changes to functional composition, were as strong as direct effects on average. Their strength varied with land‐use objectives and regional context. Biodiversity loss explained indirect effects in a region of intermediate productivity and was most damaging when land‐use objectives favoured supporting and cultural services. In contrast, functional composition shifts, towards fast‐growing plant species, strongly increased provisioning services in more inherently unproductive grasslands.     

Seagrass ecosystem multifunctionality under the rise of a flagship marine megaherbivore

Large grazers (megaherbivores) have a profound impact on ecosystem functioning. However, how ecosystem multifunctionality is affected by changes in megaherbivore populations remains poorly understood. Understanding the total impact on ecosystem multifunctionality requires an integrative ecosystem approach, which is especially challenging to obtain in marine systems. We assessed the effects of experimentally simulated grazing intensity scenarios on ecosystem functions and multifunctionality in a tropical Caribbean seagrass ecosystem. As a model, we selected a key marine megaherbivore, the green turtle, whose ecological role is rapidly unfolding in numerous foraging areas where populations are recovering through conservation after centuries of decline, with an increase in recorded overgrazing episodes. To quantify the effects, we employed a novel integrated index of seagrass ecosystem multifunctionality based upon multiple, well-recognized measures of seagrass ecosystem functions that reflect ecosystem services. Experiments revealed that intermediate turtle grazing resulted in the highest rates of nutrient cycling and carbon storage, while sediment stabilization, decomposition rates, epifauna richness, and fish biomass are highest in the absence of turtle grazing. In contrast, intense grazing resulted in disproportionally large effects on ecosystem functions and a collapse of multifunctionality. These results imply that (i) the return of a megaherbivore can exert strong effects on coastal ecosystem functions and multifunctionality, (ii) conservation efforts that are skewed toward megaherbivores, but ignore their key drivers like predators or habitat, will likely result in overgrazing-induced loss of multifunctionality, and (iii) the multifunctionality index shows great potential as a quantitative tool to assess ecosystem performance. Considerable and rapid alterations in megaherbivore abundance (both through extinction and conservation) cause an imbalance in ecosystem functioning and substantially alter or even compromise ecosystem services that help to negate global change effects. An integrative ecosystem approach in environmental management is urgently required to protect and enhance ecosystem multifunctionality.     

Beyond the single index: Investigating ecological mechanisms underpinning ecosystem multifunctionality with network analysis

Ecosystems simultaneously deliver multiple functions that relate to both the activities of resident species and environmental conditions. One of the biggest challenges in multifunctionality assessment is balancing analytical simplicity with ecosystem complexity. As an alternative to index‐based approaches, we introduce a multivariate network analysis that uses network theory to assess multifunctionality in terms of the relationships between species'' functional traits, environmental characteristics, and functions. We tested our approach in a complex and heterogeneous ecosystem, marine intertidal sandflats. We considered eight ecosystem function, five macrofaunal functional trait groups derived from 36 species, and four environmental characteristics. The indicators of ecosystem functions included the standing stock of primary producers, oxygen production, benthic oxygen consumption, DIN (ammonium and NOx efflux) and phosphate release from the sediments, denitrification, and organic matter degradation at the sediment surface. Trait clusters included functional groups of species that shared combinations of biological traits that affect ecosystem function: small mobile top 2 cm dwellers, suspension feeders, deep‐dwelling worms, hard‐bodied surface dwellers, and tube‐forming worms. Environmental characteristics included sediment organic matter, %mud, %shell hash, and %sediment water content. Our results visualize and quantify how multiple ecosystem elements are connected and contribute to the provision of functions. Small mobile top 2 cm dwellers (among trait clusters) and %mud (among environmental characteristics) were the best predictor for multiple functions. Detailed knowledge of multifunctionality relationships can significantly increase our understanding of the real‐world complexity of natural ecosystems. Multivariate network analysis, as a standalone method or applied alongside already existing single index multifunctionality methods, provides means to advance our understanding of how environmental change and biodiversity loss can influence ecosystem performance across multiple dimensions of functionality. Embedding such a detailed yet holistic multifunctionality assessment in environmental decision‐making will support the assessment of multiple ecosystem services and social‐ecological values.