Elsevier

Biological Conservation

Volume 221, May 2018, Pages 257-260
Biological Conservation

Perspective
Using landscape fragmentation thresholds to determine ecological process targets in systematic conservation plans

https://doi.org/10.1016/j.biocon.2018.03.025Get rights and content

Highlights

  • Systematic conservation planning requires targets for biodiversity representation and persistence (ecological processes).

  • Suitable spatial data with which to set quantitative ecological process targets is mostly absent.

  • We propose using landscape ecology theory, specifically fragmentation thresholds, to set ecological process targets.

  • The percolation theory 60% threshold provides a pragmatic top-down ecological process target for landscapes.

  • This target is useful in landscapes where data on individual process components are not known.

Abstract

Systematic conservation planning requires that quantitative targets be set for both biodiversity pattern and processes. While the challenge of setting quantitative representation targets has been well addressed in the literature, guidelines for conceptualising and setting process targets are lacking. Process targets can be defined as the minimum amount of natural habitat that must remain to ensure the long-term survival of the majority of species. While a representation target may represent the majority of species in a landscape, this target often falls far short of conserving processes necessary for the persistence of these species. This paper explores the potential for landscape ecology research to provide useful insights into developing process targets by relating critical thresholds in habitat amount to the probability of population persistence. It is proposed that these thresholds provide a basis for developing generic top-down ecological process targets in conservation planning. The percolation threshold, theoretically defined at 59%, is increasingly used to inform research into ecological state-shifts and ecosystem resilience. This threshold may provide a basis for developing top-down process targets in instances where comprehensive bottom-up spatial data on individual ecological processes is unavailable. In the context of ongoing global habitat loss, this approach provides a pragmatic, but also potentially biologically meaningful, way of incorporating defensible and quantitative ecological process targets or biodiversity persistence goals into conservation plans.

Introduction

Habitat loss is the primary driver of biodiversity loss on the planet today (Baillie et al., 2004). In this context of ongoing habitat loss, immediate conservation choices have to be made regarding how much and which areas need to be set aside in order to conserve representative and persistent examples of the planet's biodiversity. Such choices should be based on sound scientific evidence and reasoning, but data to support this is often unavailable. Thus, a careful balance is needed between scientific certainty and pragmatic decision-making based on sound ecological logic. The well-established concept of Systematic Conservation Planning has been used for many years to assist in making a range of conservation decisions in a spatially explicit manner (Pressey et al., 2007). Conservation planning is “the process of locating, configuring, implementing and maintaining areas that are managed to promote the persistence of biodiversity and other natural values” (Pressey et al., 2007). Systematic conservation planning is based on two underlying principles: 1) the principle of representation aims to conserve a sufficient sample of the full variety of biodiversity, while 2) the principle of persistence aims to conserve the necessary ecological and evolutionary processes that allow biodiversity to persist over time (Margules and Pressey, 2000). In order to achieve these goals, systematic conservation planning requires that quantitative targets be set for both biodiversity pattern (representation) and ecological processes (persistence).

Despite acknowledged limitations of quantitative conservation targets (Carwardine et al., 2009; Pressey et al., 2003), they remain common practice for conservation in general (Aichi biodiversity targets; CBD, 2010) and systematic conservation planning in particular (Carwardine et al., 2009). Representation targets for species and ecosystems have generally been well-researched (Pressey et al., 2007) and standard methods for determining these targets are becoming established (Rondinini and Chiozza, 2010; e.g. Desmet and Cowling, 2004). However, these representation targets will be ineffective in the long-term unless the ecological processes that maintain these patterns are also conserved. Unfortunately, methods for setting quantitative targets for ecological process are still unresolved. Conserving ecological processes means not only conserving the area where a species currently occurs, but also sufficient of its habitat so that it will continue to survive, now and into the future. From a conservation planning perspective, this involves determining the minimum amount and configuration of area required to conserve these ecological processes.

The most widely used approach to incorporating ecological processes into systematic conservation plans is to map and set targets for individual elements of ecological processes (such as corridors, ecotones, climate refugia, migration routes etc.) (e.g. Pressey et al., 2003). However, this comprehensive, ‘bottom-up’ approach requires not only that the relevant ecological processes can be identified and understood, but also that empirical data be available on the spatial components of these processes (Pressey et al., 2007). The reality in most regions of the world is that this type of data is non-existent. Given the time scales and budgets under which conservation planning operates, it is unlikely that the required research will be achieved soon. This lack of data fundamentally limits the incorporation of individual process elements into systematic conservation plans.

This paper presents an alternative approach for incorporating ecological processes into conservation planning. It is proposed that, based on current ecological understanding, it is possible to use a generalised ‘top-down’ target for a whole landscape that will define the minimum amount of natural habitat required to secure a suite of ecological processes. This paper explores the potential for landscape ecology to provide useful insights into developing ecological process targets by relating the amount and structure of remaining habitat to critical thresholds in the probability of population persistence.

Section snippets

Ecological processes and landscape ecology

Ecological processes include both biological (e.g. survival, reproduction, dispersal and interaction) and abiotic (e.g. climate, geomorphological, pedological and hydrological) processes. Landscape ecology is a field of study that focuses on the interactions between spatial pattern and ecological processes (Mayer et al., 2016; Turner, 2005). It investigates how the spatial configuration of a landscape influences the populations and community dynamics of organisms (Collinge, 2001; Turner, 2005).

Fragmentation and critical thresholds

Most fragmentation studies agree that the overall amount of remaining habitat accounts for almost all of the variation in observed population size in fragmented landscapes (Fahrig, 2013; Flather and Bevers, 2002; Villard and Metzger, 2014). The relationship between habitat loss and species persistence is generally negative, with a higher rate of species persistence where the amount of habitat remains high, and a lower rate of persistence where a large amount of habitat has been lost (Fahrig,

Relating critical thresholds to conservation targets

Pragmatic conservation planning requires that generalisations be made across species, ecosystems and ecological processes. If data were not limiting it would be possible to estimate the persistence target for all organisms in a landscape based on an understanding of their meta-population dynamics and habitat requirements. However, high-levels of scientific uncertainty and lack of available data mean that, at present, conservation plans are unable to explicitly include a full range of ecological

Application of a landscape persistence target in conservation planning

Quantitative targets for representing biodiversity pattern and maintaining ecological processes are a foundation underpinning the success and defensibility of applied systematic conservation planning. These targets can be interpreted as quantitative indicators or thresholds of the minimum area required to achieve our conservation goals. While representation targets are fairly well researched, there is very little information available to guide practitioners in setting targets for persistence.

Acknowledgements and declaration

Emily A. Botts was compensated by the author for writing and editing support in preparing this paper for publication. The author gratefully acknowledges the inputs and comments received from Richard Cowling, Mandy Driver, Sumeshni Pillay, Lilly Bovim and Genevieve Pence.

Funding sources

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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