borító

502 B 46
Bell, Simon - Morse, Stephen: Sustainability Indicators
Measuring the Immeasurable
London ; Sterling, VA : Earthscan, 2000. xvi, 175 p.
ISBN 1-85383-498-X




Fenntarthatósági mutatók
Mérni a mérhetetlent


Sokat beszélünk a fenntartható fejlődésről, de vajon milyen mutatók révén lehetne eme kívánatos irányvétel pillanatnyi eredményességét számszerűsíteni? A szerzők áttekintik az ilyen jellegű, ez idáig többnyire mennyiségi, és véleményük szerint épp a lényeget elfedő, kontraproduktív mutatószámok történetét, a hatalmas, de többnyire az önkritikát nélkülöző irodalmat. Nagyon fontosnak találják a gyorsan változó és szubjektív fenntarthatóság-fogalom értelmezési sokszínűségének tiszteletben tartását, a sokféle interpretáció toleráns együttszemlélését. Nem vetik el a mutatókat ("nem rosszabbak azok, mint általában a gyarló embernek saját cselekvési programjaihoz igazított bármely statisztikái"), de csak a probléma teljes kontextusának figyelembe vétele mellett tekintik hasznosíthatóknak ezeket a döntéshozatali mechanizmusokban. Irányt mutatnak egy az eddigieknél minőségibb, holisztikusabb, rendszerszerűbb elemzési, és további mutatók kimunkálását feltételező, azokat egységben kezelő módszer kialakításához; és olyan kísérleteken keresztül, mint például a fenntartható városi lét programja, bemutatják, miként kell módszeresen megközelíteni a fenntartható fejlődés problematikáját, majd a jövőbeni irányok kialakíthatósága érdekében számtalan kérdés felvetésében összegzik áttekintő elemzésüket. A jövőre nézve szükségesnek tartanak valamiféle számítógépes adatösszegző és prezentációs szoftvert, de csak akkor, ha a már jelzett rendszerszerű fenntarthatósági elemzés módszertana kiérlelődött, mert ennek hiányában a számítógépes szemfényvesztés, az általa keltett hamis biztonságérzettel, épp annak kimunkálását akadályozná. A fenntarthatóság látszólag mindannyiunknak kedves gondolatkör, így azt hihetnénk, hogy az ezt számszerűsítő mutatók is igen közkeletűek. Valójában a mutatók hasznosságára utaló számtalan hivatkozás dacára ez idáig igen csekély figyelem irányult ezen indikátorokra, és a szerzők szerint nem utolsó szempont szembenézni azzal a nagyon egyszerű, de megkerülhetetlen kérdéssel is: kinek és mért is van szüksége mindezekre?


Malecz Attila ismertetése




Contents


List of Figures, Tables and Boxes   v
Acronyms and Abbreviations   viii
Foreword: Doing Systemic Sustainability Analysis - a Practitioner Note   x
Acknowledgements   xvi

Part I  The Bad Application of Good Science?


1  Sustainability and Sustainability Indicators   3

Introduction and objectives   3
Two roots of sustainability   6
The meaning of sustainability   9
Space and time in sustainability   13
System quality   l5
Sustainability in practice   16
Indicators of ecosystem health   18
Sustainability indicators   22
Calculation, presentation and interpretation of sustainability indicators   28
Sustainability Indicators: a realistic and reasonable approach to measuring sustainability?   30

2   Sustainability Indicators in Practice   33

Introduction and objectives   33
The Maximum Sustainable Yield (MSY)   35
Problems with the application of the MSY   41
Maximum sustainable yield as a sustainability indicator   46
Sustainability indicators in marine ecosystems-the AMOEBA approach   47
Some conclusions   54

3   Indicators, Cities, Institutions and Projects   59

Introduction and objectives   59
Sustainable communities   61
Institutional sustainability   65
Projects, appraisal and sustainability   71

Part II   The Application of Realistic Systemisism?


4   Paradigms and Professionals   77

Introduction and objectives   77
Changes in thinking: From science to systems   80
The demise of narrow scientism   81
Systems approaches to problem solving   85
A range of systems approaches   88
New definitions and new thinking-holism, eclecticism, systemisism   100
Emerging premises for SI development   102

5   Projects and Sustainability Indicators   104

Introduction and objectives   104
The project scenario for SIs   107
The stakeholder scenario for SIs - participation and coalition   110
Accommodating multiple views of sustainability   111
Introducing the systemic sustainability analysis (SSA) idea   115

6   A Systemic Approach to Sustainability Analysis   119

Introduction and objectives   119
Finding out how we are - a question of mood   122
Understanding the project context   124
Identifying and involving the stakeholders   126
Being clear on methods   132
The five step procedure   132
Unpacking the SI analysis   144
Responding to 'good' AMOEBA   146
Responding to 'bad' AMOEBA   146
A stitch in time...   147

Part III   Where Next? Humility and Honesty


7   Sustainability Indicators - the Rhetoric and the Reality   151

Introduction and objectives   151
Managing expectation   153
Organic and empowering approaches compared to inorganic and de-humanizing approaches   154
Culture change   155
The essential need for reflective practice   156
Future research priorities   157

References   160
Index   171






List of Figures, Tables and Boxes



FIGURES


F.1   Overview of the book   xiv
1.1   The roots of the modern view of sustainability   6
1.2   System quality and sustainability   11
1.3   Importance of the reference point for gauging sustainability   15
1.4   The two broad approaches to the use of environmental indicators   19
1.5   Fish distribution in the Cynon River system in South Wales, UK   20
1.6   Change in biodiversity (Shannon-Wiener Index, H) along the River Gynon in South Wales   22
1.7   The concept behind sustainability indicators (Sls)   23
2.1   Examples of population growth curves   37
2.2   Example of an age distribution   38
2.3   Main elements contributing to population change   39
2.4   The concept of maximum sustainable yield in harvesting a population   40
2.5   The Schaefer model employed to determine MSY based on the fishery yield for a particular fishing effort   41
2.6   Population growth curves based on the equation in Box 2.4   43
2.7   Schaefer model fitted to data from the Peruvian anchovy fishery   45
2.8   Example of an AMOEBA approach to presenting sustainability indicators   50
2.9   Biomass of trout and bullhead and numbers of midges at four sampling stations on the River Cynon relative to station C1 (the reference condition)   51
2.10   Biomass of trout and bullhead and numbers of midges at four sampling stations on the River Cynon relative to station C2 (the reference condition)   52
4.1   A continuum of research approaches   81
4.2   A systems view of a particular context   87
4.3   A reductionist view of a particular context   88
4.4   Axis for comparing systems approaches   89
4.5   The soft systems method   90
4.6   The reinforcing loop (snowball)   93
4.7   Three pillars of PRA   96
4.8   The four approaches   100
5.1   The use people make of Sis  106
5.2   The blueprint project cycle(s); relationship between the phases of project formulation and the traditional project cycle  106
5.3   The process or 'adaptive' project approach  107
5.4   Project approaches and the spectrum of thinking about problem solving   109
5.5   Venn diagram of participant group overlap   113
5.6   Multiple views on a project's goal   114
5.7   A systems view of participation   115
5.8   What SIs we are going to make use of   116
5.9   An SI AMOEBA   117
6.1   The five steps to producing the SSA   121
6.2   SSA within the greater cycle   122
6.3   SWOT analysis of mood of a university department concerning a project to develop consultancy within the department   123
6.4   Quadrants with notes   123
6.5   Rich picture of a project context   125
6.6   Norwich 21 rich picture   126
6.7   Single view of sustainability   129
6.8   Multiple views of sustainability   130
6.9   State SIs   134
6.10   State and process SIs   135
6.11   Internal and external process SIs   135
6.12   Relative controllability of internal and external process SIs   136
6.13   The River Cynon and SIs   136
6.14   Different types of Sis evolving in the project   137
6.15   The SI learning cycle   137
6.16   A collection of 'valid' SIs   139
6.17   The SI continuum   141
6.18   The equilibrium band - drawing the SIs   143
6.19   AMOEBA drawn from SIs   144
6.20   IT project AMOEBA   145
6.21   Extending the AMOEBA over time   146
7.1   Equilibrium and agreed expectations   153
7.2   A learning cycle of further questions   158


TABLES


1.1   The United Nations working list of sustainable development indicators   25
1.2   Some sustainability indicators for sub-Saharan African agroecosystems   27
3.1   Top ten key components of sustainable development   62
3.2   The Norwich 21 set of SIs   63
3.3   Values of the subsidy dependence index (SDI) for some rural finance institutions   69
4.1   Defining features of systems   87
4.2   Comparison of systems and reductionist approaches   89
4.3   The five disciplines   92
4.4   An overview of the logical framework (LF)   97
4.5   Explaining logical frameworks   98
4.6   A partial LF expression of Norwich 21   99
5.1   Project: blueprint and process   108
5.2   Participant stakeholder groups   112
5.3   Participant stakeholder groups in an Nigerian project   112
6.1   Stakeholder and analysis spreadsheet   131
7.1   Problems and prizes of vulnerability   157


BOXES


1.1   Visions of sustainable agriculture   8
1.2   Some definitions of sustainability   10
1.3   Two different visions of sustainability   13
1.4   A summary of ten Ballagio Principles for gauging progress towards sustainable development   17
1.5   The Shannon-Wiener Index (H) of biodiversity   21
1.6   The theory behind the calculation of the total factor productivity (TFP) indicator of sustainability in tropical farming systems   29
2.1   The mathematical equations behind the population curve in Figure 2.1(a)   38
2.2   The mathematical equations behind the population curve in Figure 2.1(b)   39
2.3   An equation relating fishing effort to yield from a fishery   41
2.4   A population growth equation based on the assumption that the size of the population is linked to that of the previous generation   42
2.5   The calculation of ecological Dow Jones indices for three indicators (trout and bullhead biomass and midge numbers) from the River Cynon in South Wales   53
2.6   Two simple factors that complicate the use of the algal index as an SI   56
3.1   Two indicators that can be employed to gauge the self-sufficiency of development institutions in providing financial services to resource-poor groups   68
4.1   Some of the techniques in participatory rural appraisal (PRA)   94
6.1   Some major elements of workshop   128

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