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Biodiversity and Conservation

, Volume 19, Issue 10, pp 2773–2790 | Cite as

Ecosystem services and biodiversity conservation: concepts and a glossary

  • Richard Harrington
  • Christian Anton
  • Terence P. Dawson
  • Francesco de Bello
  • Christian K. Feld
  • John R. Haslett
  • Tatiana Kluvánkova-Oravská
  • Areti Kontogianni
  • Sandra Lavorel
  • Gary W. Luck
  • Mark D. A. Rounsevell
  • Michael J. Samways
  • Josef Settele
  • Michalis Skourtos
  • Joachim H. Spangenberg
  • Marie Vandewalle
  • Martin Zobel
  • Paula A. Harrison
Original Paper

Abstract

The RUBICODE project draws on expertise from a range of disciplines to develop and integrate frameworks for assessing the impacts of environmental change on ecosystem service provision, and for rationalising biodiversity conservation in that light. With such diverse expertise and concepts involved, interested parties will not be familiar with all the key terminology. This paper defines the terms as used within the project and, where useful, discusses some reasoning behind the definitions. Terms are grouped by concept rather than being listed alphabetically.

Keywords

Biodiversity Conservation DPSIR Ecosystem management Ecosystem services Ecosystem valuation Functional diversity Functional traits Service-providing unit Social–ecological systems 

Introduction

The RUBICODE project is an attempt to explore and develop the practical tools and operational approaches needed for an ‘ecosystem approach’ to environmental management, as adopted by the Conference of the Parties to the Convention on Biological Diversity (CBD 1998), as the primary framework for action under the Convention. There is no rigorous definition and working manual for the ecosystem approach although the principles are enshrined within the CBD and within the Millennium Ecosystem Assessment (MA 2003). As in any emerging field of endeavour, the Ecosystem Approach is presently characterised by a diversity of typologies, schemes and terminologies championed by the various protagonists. In this respect, the RUBICODE project is no different and we do not expect that our terminology (described below) will be acceptable in its entirety to all working in this area. RUBICODE has enlisted a broad range of expertise, including experimental and theoretical ecologists, mathematical modellers, social scientists, political scientists and environmental economists, each discipline bringing with it specific terminology. Whilst the project has been careful to follow existing terminology as far as possible, some definitions have required amendment and a few new terms have been introduced. We have thus adopted a terminology agreed by consensus by those leaders in the field within the RUBICODE project in order to ensure consistency and rigour within the RUBICODE project, and to be thoroughly consistent and resonant with the principles of the CBD and the workings of the MA, these being well-accepted by, and familiar to policy, makers. The scheme presented below may be useful for others who follow, but it is not intended to be prescriptive. Indeed, we expect it to evolve as the ecosystem approach develops. Here, it is presented so that the reader can see exactly what we mean by the various terms in an increasingly busy and rapidly changing research area.

Frameworks used by RUBICODE

The classification of ecosystems and ecosystem services within RUBICODE follows that of the Millennium Ecosystem Assessment (MA 2003). Appendix 4 therein is a glossary, and RUBICODE follows this as far as possible. Central to the RUBICODE framework is the ‘Drivers, Pressures, State, Impact, Response’ (DPSIR) framework, which describes interactions between society and the environment and has been adopted by the European Environment Agency (EEA) for use in environmental risk assessment (EEA 1995, 1999; Maxim et al. 2009). To capture the dynamics of interactions between humans and other organisms, RUBICODE has modified the DPSIR framework to incorporate concepts from the Social–Ecological Systems (SES) framework (Berkes and Folke 1998). The new framework, FESP (Framework for Ecosystem Service Provision), is described by Rounsevell et al. (2010). FESP considers attributes of human agents and other organisms, as well as the supporting habitat, as the ‘State’ component of the DPSIR, thus superimposing the SES framework on DPSIR (Dawson et al. 2010; Rounsevell et al. 2010). The Service-Providing Unit (SPU) concept (Luck et al. 2003), is unified within RUBICODE (Luck et al. 2009) with the concept of Ecosystem Service Providers (ESPs; Kremen 2005), and the concept of an SPU-ESP continuum (also referred to as the service-provider concept) is used to encourage quantification of the characteristics of organisms and habitats which are necessary to provide a service at the level required by the human beneficiaries within the SES. The loss of ESPs as a result of an environmental pressure, such that they no longer adequately provide a service, signals an adverse impact requiring a response, such as a direct intervention or a strategy or policy change (Haslett et al. 2010; Samways et al. 2010). Whether the response aims at restoring the service providers to a level suitable to meet beneficiary demands or advocates alternative solutions to service provision that do not involve biodiversity, requires a valuation framework (Skourtos et al. 2009). The SPU-ESP continuum is described within RUBICODE in both taxonomic and functional terms, and indicators of the state of ecosystem services are being considered using both systems (Feld et al. 2010; Vandewalle et al. 2010). Ultimately RUBICODE is designed to guide prioritisation of conservation effort in the light of limited resources (Harrison et al. 2010) and to assist with designing an improved landscape to deliver ecosystem services while mitigating adverse impacts (Samways et al. 2010). Conservation based on ecosystem services is seen as complementary to the present European strategy and a new conceptual framework is employed to propose ways of adding value to traditional approaches (Haslett et al. 2010). The terminology of these frameworks, as applied to RUBICODE and used in this Special Issue, is described below.

Glossary

Where definitions or qualifications of terms include terms defined elsewhere in this paper, those terms are italicised.

The definitions have been grouped according to the frameworks described above to which they are considered most appropriate, although many definitions are appropriate to more than one framework.

Terms relating to the DPSIR framework

DPSIR

<The scoping framework for describing the interactions between society and the environment adopted by the European Environment Agency (EEA 1995). The framework assumes multiple cause-effect relationships between interacting components of social, economic, and environmental systems, which are:

Drivers of environmental change (e.g. industrial production);

Pressures on the environment (e.g. discharges of waste water);

State of the environment (e.g. water quality in rivers and lakes);

Impact on population, economy, ecosystems (e.g. water unsuitable for drinking) and

Response of the society (e.g. watershed protection)>

The DPSIR framework is useful in that it provides a structure in which a number of physical, biological, chemical and societal indicators can be analysed to set and evaluate targets and give a clear picture of progress, or lack thereof, in a number of policy areas (EEA 1999). However, this framework depicts mainly a linear and unidirectional causal chain, cannot take into account dynamics of the system it models, and ignores key non-human drivers of environmental change (Rapport and Friend 1979; Barker 2003; Olson et al. 2004a, b; Maxim and Spangenberg 2006). The RUBICODE approach is to extend the traditional DPSIR framework to describe interactions between society and the environment by linking it with the concept of SocialEcological Systems, which describes the dynamics and interconnectedness of human and non-human components in the same system (see Rounsevell et al. (2010) for discussion).

Drivers

<The underlying causes of environmental change that are exogenous to the ecosystem in question>

They reflect either the past, present or future conditions that cause changes to ecosystems and are equivalent to the ‘indirect drivers’ and ‘exogenous drivers’ of the MA (2003).

Pressures

<The endogenous variables that quantify the effect of drivers within an ecosystem>

They are equivalent to the ‘direct drivers’ and ‘endogenous drivers’ of the MA (2003).

State

<The collection of variables that describe the whole of the socialecological system, including the attributes of ecosystem service beneficiaries (ESBs) and the attributes of ecosystem service provides (ESPs)>

Changes in state variables represent the sensitivity of the ecosystem to the pressure variables.

Impact

<A measure of whether the changes in the state variables have a negative or positive effect on individuals, society and/or environmental resources>

Negative or positive effects are measured in terms of the relationship between the state and human need (through the SPU-ESP continuum service-provider concept). There is an impact if the state no longer equates to service provision.

Response

<Action through policy and management aiming to minimise negative impacts (or maximise positive impacts) by acting on the pressure variables or on the ESP and ESB state variables>

‘Mitigation’ reduces the severity of the problem by acting directly on the pressure variables. ‘Adaptation’ enhances the capacity of the ecosystem to cope with pressures by influencing the state variables.

Terms relating to ecosystem response to pressures

Resilience

<An ecosystem’s ability to recover and retain its structure and function following a transient and exogenous shock event>

If a stress or disturbance does alter the ecosystem, then it should be able to bounce back quickly to resume its former ability to yield a service or utility rather than transform into a qualitatively different state that is controlled by a different set of processes. In order for ecosystem resilience to be defined, the ecosystem must have a degree of stability prior to the perturbation. Resilience relates to return to stability following perturbation (Holling 1973; Dawson et al. 2010).

Stability

<An ecosystem’s tolerance to transient and endogenous perturbations)>

An important component of stability is resistance—the ability of the ecosystem to continue to function without change when stressed by a disturbance that is internal to the system. A system can be stable in the sense of a steady or dynamic equilibrium state, evidenced, for example, in predator–prey relationships. In this sense, the system adapts through autonomous (usually negative) feedback mechanisms or through managed policy/response interventions (Dawson et al. 2010).

Durability

<An ecosystem’s ability to adapt to, or maintain, its function in the face of chronic (enduring) endogenous pressure(s)>

Durability of an ecosystem pertains to its ability to continue to yield a service or utility, for example capacity to support human or other life, over relatively long time-scales or indefinitely without any degradation or loss of the important biotic or abiotic components that make up the ecosystem. Evolution is an example of an endogenous pressure which acts on the species that make up an ecosystem (Dawson et al. 2010).

Robustness

<An ecosystem’s ability to adapt to or maintain its function under chronic exogenous drivers and pressures>

An ecosystem is robust when it is capable of resisting changes caused by long-term drivers or pressures that are external to the ecosystem, such as global warming, nutrient loading or hunting pressure (Dawson et al. 2010). Robust ecosystems demonstrate adaptability to external forces, for example if a keystone species goes extinct, surviving species can compensate for the loss of function over physiological, demographic, or evolutionary time scales (Lenski et al. 2006; Dawson et al. 2010).

Terms relating to the SES framework

SocialEcological System (sometimes referred to as a ‘Socio-ecological System’)

<A system that includes societal (human) and ecological (biophysical) subsystems in mutual interactions (Gallopin 1991) and thus captures interactions between ecosystems, biodiversity and people>

Many recent studies have recognised that interactions exist between humans, other biodiversity and non-biological components of ecosystems. Thus changing human conditions drive, both directly and indirectly, changes in biodiversity, changes in ecosystem support structures and ultimately changes in the services ecosystems provide (MA 2003). However, to capture social and ecological dynamics, the human dependence on the capacity of ecosystems to generate essential services and the importance of ecological feedbacks for societal development suggest that social and ecological systems are not merely linked but are interconnected (Galaz et al. 2008) and that the relationship between social and ecological systems is based on mutual partnership and not domination of one by the other. To emphasise such a concept, Berkes and Folke (1998) use the term SocialEcological System (SES). Both social and ecological systems contain units that interact interdependently and each may also contain interactive subsystems. Social systems include economy, humans and institutions in mutual interaction. Ecological systems include self-regulating communities of organisms interacting with one another and with their environment (Folke et al. 2004).

Terms relating to the ecological component of Social–Ecological Systems

Biodiversity

<The variety of living organisms and the ecological complexes of which they are part>

Biodiversity covers genetic, structural and functional components, which are derived from different organisational levels, from single individual organisms to species, populations, communities and ecosystems (adapted from Secretariat of the Convention on Biological Diversity 2001, MA 2003 and extended according to Noss 1990).

Population

<A group of organisms, all of the same species, which occupies a particular area (geographic population), is genetically distinct (genetic population) or fluctuates synchronously (demographic population)>

Population diversity

<The number, size, density, distribution and genetic variability of populations of a given species (adapted from Luck et al. 2003)>

Community

<An association of interacting populations, usually defined by the nature of their interactions or by the place in which they live (Ricklefs and Miller 2000)>

Assemblage

<A group of organisms in the same taxonomic group sampled in the same focal area (e.g. butterfly assemblage, bird assemblage)>

Functional trait

<A feature of an organism, which has demonstrable links to the organism’s function (Lavorel et al. 1997)>

As such, a functional trait determines the organism’s response to pressures (Response trait), and/or its effects on ecosystem processes or services (Effect trait). Functional traits are considered as reflecting adaptations to variation in the physical and biotic environment and trade-offs (ecophysiological and/or evolutionary) among different functions within an organism. In plants, functional traits include morphological, ecophysiological, biochemical and regeneration traits, including demographic traits (at population level). In animals, these traits are combined with life-history and behavioural traits (e.g. guilds, organisms that use similar resources/habitats).

Functional trait attribute

<The value/state of a functional trait>

It may be categorical (e.g. C3 vs. C4 for plant photosynthetic pathway) or continuous (e.g. root length).

Functional group

<A collection of organisms with similar functional trait attributes (adapted from Gitay and Noble 1997)>

Some authors use ‘Functional Type’ in the same way.

Groups can be associated with similar responses to pressures and/or effects on ecosystem processes. A functional group is often referred to as a guild, especially when referring to animals, e.g. the feeding types of aquatic organisms having the same function within the trophic chain: the group (guild) of shredders or grazers.

Functional syndrome

<A suite of co-occurring trait attributes, sometimes associated with particular environmental conditions or processes>

This is related to an ‘Emergent Group’, which is a suite of correlated traits. It becomes a functional syndrome or strategy if it is associated with specific environmental conditions.

Functional diversity

<The range, actual values and relative abundance of functional trait attributes in a given community (Diaz and Cabido 2001; Diaz et al. 2007)>

This can be characterised by different metrics (see Petchey et al. 2004, for a review). The most relevant metrics are as follows.

Community Weighted Mean Trait (also called aggregated trait or community weighted average trait value)

<The mean of trait attributes in the community, weighted by the relative abundance of the species or populations carrying each value (Garnier et al. 2004; Violle et al. 2007)>

It is usually calculated as the mean across species of their trait values weighted by their relative abundances (i.e. the mean across individuals). It can also be used for instances where a trait expresses only one value for the whole community (e.g. total root density).

Functional richness

This includes two components, which authors have used selectively or jointly:
  1. (a)

    <the range of trait attributes represented in the community, i.e. the amount of niche space filled by species in the community (Mason et al. 2005)>

     
  2. (b)

    <the number of functional groups or trait attributes in the community (Petchey et al. 2004)>

     

Functional divergence

<The functional differentiation within the community i.e. the degree to which abundance distribution in niche space maximises divergence in functional traits within the community (Mason et al. 2005)>

This represents the probability that two random individuals within the community will have different trait values (Lepš et al. 2006; Pavoine et al. 2009).

Functional redundancy

<A characteristic of species within an ecosystem in which certain species (or other taxa) contribute in equivalent ways to ecosystem processes such that one species may substitute for another in this respect>

Note that species that are redundant for one ecosystem process may not be redundant for others (MA 2003). Also, redundancy may vary depending on interacting environmental conditions, and species that are considered redundant may become important under changed conditions. The concept is therefore at risk of misinterpretation.

Terms relating to the human component of Social–Ecological Systems

Stakeholder

<A person having a stake or interest in a biological or physical resource, ecosystem service, institution or social system, or someone who is or may be affected by a public policy (adapted from MA 2003)>

Ecosystem Service Beneficiary

<A stakeholder who benefits directly from a biological or physical resource, ecosystem service, institution, or social system, or someone who is or may be affected positively by a public policy>

Loser

<A stakeholder who loses from a biological or physical resource, ecosystem service, institution, or social system, or someone who is or may be affected negatively by a public policy>

Terms relating to interactions between components of Social–Ecological Systems

Ecosystem

<A dynamic complex of plant, animal and microorganism communities and their nonliving environment interacting as a functional unit (MA 2003)>

Humans, where present, are an integral part of ecosystems.

Dynamic ecosystem

The concept of a dynamic ecosystem, central to RUBICODE, acknowledges the temporal and spatial variability in ecosystem characteristics due to natural or anthropogenic changes affecting the organisms individually or collectively, and hence the reality that a given ecosystem service cannot be maintained indefinitely at a given location. However, as all ecosystems are dynamic, the term is tautological and just serves as a reminder that a static approach to conservation will have limited usefulness. This is entirely within the spirit of the CBD (1998) ecosystems approach report.

Ecosystem processes

<The interactions (events, reactions or operations) among biotic and abiotic elements of ecosystems which underlie an ecosystem function (adapted from Tirri et al. 1998; Wallace 2007)>

Examples of ecosystem processes include photosynthesis and nutrient uptake.

Ecosystem function

<An intrinsic ecosystem characteristic related to the set of conditions and processes whereby an ecosystem maintains its integrity (MA 2003)>

Examples of ecosystem functions include primary productivity and biogeochemical cycles.

Ecosystem services

<Benefits that humans recognise as obtained from ecosystems that support, directly or indirectly, their survival and quality of life (enlarged from MA 2003)>

These include provisioning, regulating and cultural services that directly benefit people, and the supporting services needed to maintain the direct services.
  • Provisioning services

    <Products obtained from ecosystems>

  • Regulating services

    <Benefits obtained from regulation of ecosystem processes>

  • Cultural services

    <Non-material benefits obtained from ecosystems>

  • Supporting services

    <Services necessary for the production of all other ecosystem services>

Ecosystem Service Provider

<The component populations, communities, functional groups, or trait attributes thereof, as well as abiotic components such as habitat type, that contribute to ecosystem service provision (adapted from Kremen 2005)>

Service-Providing Unit

<The collection of individuals from a given species and their trait attributes necessary to deliver an ecosystem service at the desired level (adapted from Luck et al. 2003)>

The SPU must be quantified in terms of metrics such as abundance, phenology and distribution.

SPU-ESP Continuum

<The unification of the SPU and ESP concepts, promoting the quantification of organism, community or habitat characteristics required to provide an ecosystem service in light of beneficiary demands and ecosystem dynamics (Luck et al. 2009)>

The concept extends the single species definition of an SPU to include multiple species and their supporting structures.

Ecosystem Service Antagoniser

<An organism, species, functional group, population, community, or trait attributes thereof, which disrupts the provision of ecosystem services and the functional relationships between them and ESPs>

Such disruption may be direct (e.g. through eating the provider) or indirect (e.g. through competition for resources or through direct interference with organisms that support ESPs).

Ecosystem integrity

<The quality of an ecosystem in which its constituent species and natural ecological processes are sustained (Hunter and Gibbs 2007)>

Thus integrity involves both ecosystem function and species composition. This overlaps with, but is different to, the somewhat ambiguous term ‘ecosystem health’, which emphasises function without considering the particular species involved. A key issue in the coupling of ecosystem function and species composition is that, with the dynamic nature of ecosystems spatially (historically and with anthropomorphic climate change), there will inevitably be (and has been) new combinations of species.

Indicator

<A simple, measurable and quantifiable characteristic responding in a known and communicable way to a changing environmental condition, to a changing ecological process or function, or to a changing element of biodiversity>

The definition basically follows the criteria defined by McGeoch (1998), but includes the categories recently defined by the EEA (2007). McGeoch (1998) principally distinguishes between environmental, ecological and biodiversity indicators. For the latter, the EEA has given four functions to be served by suitable indicators: (1) simplification, as it summarises often complex and disparate data, (2) quantification, as statistically sound and comparable measures are related to a reference or baseline value, (3) standardisation, as they are based on comparable scientific observations and (4) communication, as they provide a clear message that can be communicated.

Institutions

<Durable systems of established and embedded social rules (convention, norms and legal rules) that structure social interaction (Hodgson 2002)>

Institutions regulate relationships among people and between social and ecological systems (Ostrom 1990; Gatzweiler et al. 2001).

Terms relating to value and valuation of ecosystems and ecosystem services

Valuation

<The process of assigning importance and necessity to objects and actions>

Value

<The importance and necessity of objects and actions>

Several categories of value have been defined: ideal (including ethical), real (= objective) (including ecological) and subjective (including economic, aesthetic, and cultural).

Real (= Objective) value

<Value determined by the inherent characteristics of an object, often based on scientific criteria (e.g. rarity)>

Subjective value

<Value allocated to an object based on individual or collective human decisions based on preferences and, if possible, quantified on the basis of the intensity of these preferences>

Subjective values can be intrinsic (= absolute), inherent and instrumental; all economic values are subjective.

Intrinsic (= Absolute) value

  • <Value something has in its own right, irrespective of it serving any user-specified goals, objectives or conditions>

  • Such absolute values are not open to compromise; they suggest inalienable rights to existence and therefore demand the highest degree of protection without regard to (social) opportunity costs. Consequently, Justus et al. (2009) have argued that intrinsic value cannot guide the decision making that conservation requires, and they suggest that an adequate ethical basis for conservation must do this. We use inherent and instrumental value for this, the former representing a higher value category and thus requiring stronger conservation measures than the latter. The existence value allocated to certain objects can be an absolute one, depending on the ethical and cultural norms applied.

Inherent value

  • <Value directly provided by a unique object>

  • Objects which cannot be replaced, for which there is no fully equivalent substitute (like a species) are allocated an inherent value, ranking higher than the value of exchangeable objects (individuals of that species).

Instrumental value

  • <Value that something has as a means to something else>

  • For instance, when watching a rare species with binoculars, the latter has an instrumental value, but the species itself an inherent value. Instrumental values are relative values.

Relative value

<The contribution of an action or object to user-specified goals, objectives or conditions (Costanza 2000)>

Relative values suggest a permissible degree of substitution among different kinds of assets and therefore suggest an optimum (as opposed to the highest) degree of protection, defined as a situation where social and economic costs of conservation are in a balance with the value created by conservation. Relativevalue allows the construction of choice orderings (or rankings) and accordingly the operation of trade-offs. Economic and aesthetic values are typically relative values.

In instrumentally valuing a resource such as an ecosystem, the total economic value can be usefully broken down into a number of categories. One way of doing so is as follows.

  • Use value

  • <Value derived from some interaction with the resource, either directly or indirectly>
    • Indirect use value

    • <Value derived from indirect interaction with an ecosystem service>

    • This might, for example, include the removal of nutrients, providing cleaner water to those downstream, or the prevention of downstream flooding.

    • Direct use value

    • <Value derived from direct interaction with an ecosystem service>

    • This may be consumptive use such as the harvesting of reeds or fish (provisioning services), or it may be non-consumptive such as with some recreational and educational activities (cultural services).

    Use values have been quantified by polling ecosystem service beneficiaries and other stakeholders regarding their willingness to pay for a hypothetical service or their willingness to accept compensation for its loss. However, in the measurement process, the potential users may include non-use values in their subjective valuation.
    • Willingness to Payvalue

    • <The maximum amount (usually of money) an individual is willing to pay in order to enjoy a certain level of provision of ecosystem services, or to avoid a certain level of disservice>

    • ‘Willingness to Accept’ value

    • <The minimum amount an individual is willing to accept as compensation in order to tolerate a certain level of loss, or forego a certain level of increase, in the provision of ecosystem services>

  • Exchange value

  • <The value a tradable good or service generates by exchanging it for some other good, usually measured in monetary terms>

  • Exchange values are objectively measured as market prices; their existence depends on external conditions (e.g. if there is a market for the goods, whether there is a well-defined private, public or collective ownership, etc.). For instance, where logging is banned, no (legal) exchange value for trees may exist, while there is an exchange value for non-timber forest products and other services.

  • Non-use value

  • <Value associated with benefits derived simply from the knowledge that a resource, such as an individual species or an entire ecosystem, is maintained>

  • It is by definition not associated with any use of the resource or tangible benefit derived from it, although users of a resource might also attribute non-use value to it. Non-use value can be both objective and subjective; its subjective component is closely linked to altruistic preferences, although for some analysts it stems ultimately from self-interest. It can be split into three basic components, although these may overlap depending upon exact definitions.
    • Existence value

    • <Value derived simply from the satisfaction of knowing that some feature of the environment continues to exist, whether or not this might also benefit others>

    • The existence value is gaining in importance as an argument for ecosystem protection.

    • Bequest value

    • <Value associated with the knowledge that a resource will be passed onto descendants to maintain the opportunity for them to enjoy it in the future>

    • Philanthropic value

    • <Value associated with the satisfaction from ensuring resources are available to contemporaries (the current generation)>

Categories not associated with the distinction between use values and non-use values include the following.
    • Option value

    • <Value derived from ensuring that a resource will be available for use in the future>

      In this sense it is a form of use value, although it can be regarded as a form of insurance to provide for possible future but not current use.

    • Quasi-option value

    • <Value derived from the potential benefits of awaiting improved information before giving up the option to preserve a resource for future use>

    • It suggests a value in particular of avoiding irreversible damage that might prove to have been unwarranted in the light of further information. An example of a quasi-option value is in bio-prospecting, where biodiversity may be maintained on the off-chance that it might in the future be the source of important new medicinal drugs.

    • Insurance value is conceptually linked to the above notions of option values: ‘Identifying how close a system might be to collapse of some or all functions is itself extremely difficult, yet one would expect willingness to pay to avoid that collapse to be related in some way to the chances that the collapse will occur. If the chances are known, the value sought is then the premium that would be paid to conserve resilience’ (OECD 2002 p. 31).

Value metric

<A means of creating a ranking and accordingly quantifying value>

Inherent values use a nominal or Boolean metric consisting of only two possible values (1,0) in order to create orderings. That is, among a set of alternative objects and/or actions, we choose those with an absolute value by assigning 1 to them. All others are assigned 0. All 1s are superior to 0s; no trade-off is possible between 1s and 0s. Instrumental values use a variety of ordinal or cardinal metrics based on, e.g., energy, money or commodities.

Demand-driven value dynamics

<The phenomenon of value changes due to factors affecting the demand side of ecosystem services>

Supply-driven value dynamics

<The phenomenon of value changes due to changes in the supply conditions of ecosystem services>

Terms relating to conservation strategies

Habitat

<The habitat of a species, or population of a species, is the sum of the abiotic and biotic factors of the environment, whether natural or modified, which are essential to the life and reproduction of the species within its natural geographic range (adapted from Council of Europe 1989)>

This definition is broadly similar to, but more specific than, that given in the MA (2003) which is:

<the environmental attributes required by a particular species (its ecological niche)>

It also conforms to the general definition given by the Convention on Biodiversity (1992) which is:

<The place or type of site where an organism or population naturally occurs (Secretariat of the Convention on Biological Diversity (2001)>.

A species’ habitat may change during different stages of life, for example in many freshwater insects which have an aquatic growth stage followed by a terrestrial reproductive stage.

Landscape

<A heterogeneous mosaic of habitat patches, physical conditions or other spatially variable elements viewed at scales relevant to the organisms or processes under consideration (adapted from Wiens 1995)>

Corridor

<A linear landscape structure that links similar landscape elements and facilitates movement of, and genetic exchange among, organisms between these elements (adapted from Wiens 1995)>

Buffer (buffer zone)

<A transitional zone around a core area or ecological restoration site managed to provide a protective function to mitigate or filter external disturbances arising from the wider landscape (adapted from Bonnin et al. 2007 and Farina 2000)>

Core area

<An area of habitat mosaic and/or ecosystem mosaic that is of high ecological quality within the wider landscape. The area is ecologically integrated, with functional relations between the constituent parts (adapted from Bonnin et al. 2007)>

Core areas are often (but by no means always) designated as, or form part of, a protected area (e.g. the most strongly protected portion of a National Park) and may be surrounded by a buffer zone.

Core Area may also be used to refer to an area occupied by a single species or a population of a species in which the habitat mosaic is most suitable for survival and reproduction (adapted from Farina 2000).

Ecological network

<A framework of ecological components, e.g. core areas, corridors and buffer zones, which provides the biological and physical conditions necessary for populations and ecosystems to survive in a human-dominated landscape>

The goal of ecological networks is 2-fold: to maintain biological and landscape diversity, and to serve as a network assisting policy sectors in the conservation of natural systems (adapted from Jongman and Pungetti 2004).

Concluding remarks

Glossaries can be very contentious and there will be few words herein for which the definition given is accepted universally. Even among RUBICODE participants there has been much discussion throughout the project over the precise meaning of certain terms that have been central to it. Such discussion, and as good a consensus as possible, are essential when trying to link concepts and unite their proponents who come from a range of disciplines. Thus, whilst the primary purpose of this paper is to explain usage of terminology in the papers that follow, it is hoped that it might be useful beyond the RUBICODE project.

Notes

Acknowledgements

This work was supported by the RUBICODE Coordination Action Project (Rationalising Biodiversity Conservation in Dynamic Ecosystems) funded under the Sixth Framework Programme of the European Commission (Contract No. 036890). RUBICODE is an endorsed project of the Global Land Project of the IGBP. The authors would like to thank all of the RUBICODE partners and associates for their contribution to the discussions necessary to produce this paper, and Professor Dave Raffaelli (University of York) for valuable comments on an earlier draft. The work also forms part of a BBSRC Institute Strategic Programme Grant to the Rothamsted Centre for Bioenergy and Climate Change.

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Richard Harrington
    • 1
  • Christian Anton
    • 2
  • Terence P. Dawson
    • 3
  • Francesco de Bello
    • 8
  • Christian K. Feld
    • 4
  • John R. Haslett
    • 5
  • Tatiana Kluvánkova-Oravská
    • 6
  • Areti Kontogianni
    • 7
  • Sandra Lavorel
    • 8
  • Gary W. Luck
    • 9
  • Mark D. A. Rounsevell
    • 10
  • Michael J. Samways
    • 11
  • Josef Settele
    • 2
  • Michalis Skourtos
    • 12
  • Joachim H. Spangenberg
    • 13
  • Marie Vandewalle
    • 8
    • 14
  • Martin Zobel
    • 15
  • Paula A. Harrison
    • 16
  1. 1.Department of Plant and Invertebrate EcologyRothamsted Research, Centre for Bioenergy and Climate ChangeHarpendenUK
  2. 2.Department of Community EcologyUFZ – Helmholtz Centre for Environmental ResearchHalleGermany
  3. 3.School of GeographyUniversity of SouthamptonHighfieldUK
  4. 4.Department of Applied Zoology/HydrobiologyUniversity of Duisburg-EssenEssenGermany
  5. 5.Division of Zoology and Functional Anatomy, Department of Organismal BiologyUniversity of SalzburgSalzburgAustria
  6. 6.CETIP – IF SAS, Slovak Academy of SciencesBratislavaSlovak Republic
  7. 7.Department of Marine ScienceUniversity of AegeanMytiliniGreece
  8. 8.Laboratoire d’Ecologie AlpineUniversité Joseph FourierGrenoble Cedex 9France
  9. 9.Institute for Land, Water and SocietyCharles Sturt UniversityAlburyAustralia
  10. 10.Centre for the Study of Environmental Change and Sustainability, School of GeosciencesUniversity of EdinburghEdinburghUK
  11. 11.Department of Conservation Ecology and EntomologyUniversity of StellenboschMatielandSouth Africa
  12. 12.Department of EnvironmentUniversity of AegeanMytiliniGreece
  13. 13.SERI – Sustainable Europe Research Institute SERI Deutschland e.VCologneGermany
  14. 14.Department of Earth and Ecosystem SciencesLund UniversityLundSweden
  15. 15.Institute of Ecology and Earth SciencesUniversity of TartuTartuEstonia
  16. 16.Environmental Change InstituteOxford University Centre for the EnvironmentOxfordUK

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