Environmental |
Atmosphere |
Climate
Change |
1.
INDICATOR
(a)
Name:
Emissions of Greenhouse Gases (GHG).
(b)
Brief Definition:
Anthropogenic emissions, less removal
by sinks, of the greenhouse gases carbon dioxide (CO2), methane (CH4),
nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs),
sulphur hexafluoride (SF6), chlorofluorocarbons (CFCs) and
hydrochlorofluorocarbons (HCFCs), together with the indirect greenhouse gases
nitrogen oxides (NOx), carbon monoxide (CO) and non-methane volatile organic
compounds (NMVOCs).
(c)
Unit of Measurement:
Annual GHG emissions in gigagrams (Gg).
Emissions of CH4, N2O, HFCs, PFCs and SF6 can
be converted to CO2 equivalents using 100 year global warming
potentials (GWPs) provided in the IPCC Second Assessment Report, 1995.
(d)
Placement in the CSD Indicator
Set: Environmental/Atmosphere/Climate
Change.
2.
POLICY RELEVANCE
(a)
Purpose: This indicator measures the
emissions of the six main GHGs which have a direct impact on climate change,
less the removal of the main GHG CO2 through sequestration as a
result of land-use change and forestry activities.
(b)
Relevance to Sustainable/
Unsustainable Development (theme/sub-theme):
For about a thousand years before the
industrial revolution, the amount of greenhouse gases in the atmosphere
remained relatively constant. Since then, the concentration of various
greenhouse gases has increased. The amount of carbon dioxide, for example, has
increased by more than 30% since pre-industrial times and is currently
increasing at an unprecedented rate of about 0.4% per year, mainly due to the
combustion of fossil fuels and deforestation. The concentrations of methane
and nitrous oxide are increasing as well due to agricultural, industrial and
other activities. The concentrations of the nitrogen oxides NO and NO2
and carbon monoxide (CO) are also increasing. Although these gases themselves
are not greenhouse gases, they affect atmospheric chemistry, leading to an
increase in tropospheric ozone, which is a greenhouse gas. Chlorofluorocarbons
(CFCs), hydrochlorofluorocarbons (HCFCs), hydrofluorocarbons (HFCs),
perfluorocarbons (PFCs) and sulphur hexafluoride (SF6) and some
other halogen GHGs do not occur naturally in the atmosphere but have been
introduced by human activities. They are strong greenhouse gases and have long
atmospheric lifetimes. CFCs and HCFCs also deplete the stratospheric ozone
layer (see ozone depleting substances).
Since
the late nineteenth century, the mean global temperature has increased by
0.4-0.8°C and the sea level has risen by 10 to 15cm. A doubling of the CO2
concentration in the atmosphere is believed to cause an increase in the global
mean temperature of 1.5 to 4.5°C. To appreciate the magnitude of this
temperature increase, it should be compared with the global mean temperature
difference of perhaps 5 to 6°C from the middle of the last ice age to the
present interglacial period.
(c)
International Conventions and
Agreements: The
United Nations Framework Convention on Climate Change entered into force in
March 1994 and as of July 2000 has received 184 instruments of ratification or
accession. The Convention includes a commitment by developed country Parties,
including economies in transition (Annex I Parties), to aim to return
emissions of CO2 and other GHGs not controlled by the Montreal
Protocol to their 1990 levels by 2000. The Kyoto Protocol was adopted in
December 1997 and has received 84 signatures.
It will enter into force after it has been ratified by at least 55
Parties to the Convention, including developed countries accounting for at
least 55 per cent of the total 1990 CO2 emissions from this group.
Meanwhile countries are to continue to carry out their commitments
under the Convention.
Ozone-depleting
greenhouse gases (such as CFCs and HCFCs) are controlled by the Vienna
Convention and the Montreal Protocol (see ozone depleting substances).
(d)
International
Targets/Recommended Standards: The
Kyoto Protocol sets targets for each of the developed country Parties and
economy in transition Parties with a view to reducing their overall emissions
of the six main GHGs by at least 5 per cent below 1990 levels in the
commitment period 2008 to 2012.
(e)
Linkages to Other Indicators:
This indicator is linked to many other socio-economic and environmental
indicators, including GDP growth rate, energy consumption, environmental
protection expenditures, and expenditures on air pollution abatement.
3.
METHODOLOGICAL DESCRIPTION
(a)
Underlying Definitions and
Concepts: Greenhouse
gases contribute in varying degrees to global warming depending on their heat
absorptive capacity and their lifetime in the atmosphere. The global warming
potential (GWP) describes the cumulative effect of a gas over a time horizon
(usually 100 years) compared to that of CO2. For example, the
global warming potential of CH4 (methane) is 21, meaning that the
global warming impact of one kg of CH4 is 21 times higher than that
of one kg of CO2. The
global warming potentials of ozone-depleting greenhouse gases (such as CFCs
and HCFCs) are highly uncertain, since they depend on the depletion of ozone,
itself a greenhouse gas. No global warming potentials are provided for
indirect greenhouse gases.
(b)
Measurement Methods:
In some cases, GHG emissions can be
measured directly at the source. More
commonly, emissions are estimated from data on emission sources, for example
oil sales data or cattle numbers, using an emission factor for each source.
(c)
Limitations of the Indicator:
This indicator shows the net amount of
GHGs entering the atmosphere for each reporting country each year.
It does not show how much the climate will be affected by the increased
accumulation of GHGs or the consequent effect of climate change on countries.
Data is available and reported mainly for developed countries and
economies in transition.
(d)
Status of the Methodology:
Developed country Parties to the
Convention have been reporting GHG data beginning with 1990 data since 1994.
The IPCC has published two sets of guidelines on methodologies for the
estimation of GHG inventories and further elaborated this with guidance on
good practice in 2000.
(e)
Alternative
Definitions/Indicators: GHG
emissions can alternatively be measured on a gross instead of net basis in
which case no account is taken of removal by sinks. There are a number of other gases that indirectly produce
GHGs and these could also be included in the scope of the definition.
The GWP potential can be calculated over different time horizons, such
as 20 years or 500 years.
4.
ASSESSMENT OF DATA
(a)
Data Needed to Compile the
Indicator: Greenhouse gas
emissions data.
(b)
National and International Data
Availability and Sources: National
communications from Parties to the Convention, including both developed and
developing countries, are available. Developing countries report on a limited
basis. At the international level, the UNFCCC Secretariat database has
information based on annual data inventory submissions from developed and
economy in transition countries.
(c)
Data References:
Not Available.
5.
AGENCIES INVOLVED IN THE DEVELOPMENT OF THE INDICATOR
(a)
Lead Agency:
The lead agency is the Secretariat of the United Nations Framework
Convention on Climate Change (UNFCCC). The
contact point is the Executive Secretary, Secretariat, UNFCCC, fax no. (41 22)
970 9034.
(b)
Other Contributing
Organizations: Intergovernmental
Panel on Climate Change (IPCC).
6.
REFERENCES
(a)
Readings:
First
review of information communicated by each Party included in Annex I to the
Convention. UN document A/AC.237/81 and corr. 1.
UNFCCC
in‑depth review reports on individual countries.
(b)
Internet sites:
www.unfccc.int (UNFCCC)
www.ipcc.ch
(IPCC)
www.ipcc.nggip.iges.or.jp
(IPCC technical support)
Environmental |
Atmosphere |
Ozone
Layer Depletion |
(a) Name:
Consumption of Ozone Depleting Substances (ODS).
(b) Brief
Definition: This indicator
will show the amounts of Ozone Depleting Substances being eliminated as a
result of the Montreal Protocol.
(c) Unit
of Measurement: Tonnes of ODS
weighted by their Ozone Depletion Potential (ODP).
(d) Placement
in the CSD Indicator Set: Environmental/Atmosphere/Ozone
layer depletion.
2.
POLICY RELEVANCE
(a) Purpose:
This indicator signifies the commitment to phase out the ODS of the
countries which have ratified the Montreal Protocol on Substances that Deplete
the Ozone Layer and its Amendments of London (1990), Copenhagen (1992),
Montreal (1997) and Beijing (1999).
(b) Relevance
to Sustainable/Unsustainable Development (theme/sub-theme): The phaseout
of ODS, and their substitution by less harmful substances or new processes,
will lead to the recovery of the ozone layer.
Stratospheric ozone absorbs most of the biologically damaging
ultraviolet radiation (UV-B). Without
the filtering action of the ozone layer more UV-B radiation can penetrate the
atmosphere to have adverse effects on human health, animals, plants,
micro-organisms, marine life, materials, biogeochemical cycles, and air
quality.
(c) International
Conventions and Agreements: The
Vienna Convention for the Protection of the Ozone Layer and its Montreal
Protocol on Substances that Deplete the Ozone Layer and the London,
Copenhagen, Montreal and Beijing Amendments to the Protocol.
(d) International
Targets/Recommended Standards: The
international target under the agreements listed in 2 (c) is the complete
phase out of ODS.
(e) Linkages
to Other Indicators: This
indicator has links to other environmental and institutional indicators, such
as number of chemicals banned or restricted and ratification of international
agreements. It has significant
implications to human health and natural resources.
3. METHODOLOGICAL DESCRIPTION
(a)
Underlying Definitions and
Concepts: Ozone Depleting
Substance (ODS) means any organic substance containing chlorine or
bromine, which destroys the stratospheric ozone layer.
Controlled substance means a
substance in Annex A, Annex B, Annex C or Annex E of the Montreal Protocol,
whether existing alone or in a mixture. It
includes the isomers of any such substance, except as specified in the
relevant Annex, but excludes any controlled substance or mixture which is in a
manufactured product other than a container used for the transportation or
storage of that substance. Production
means the amount of listed, controlled substances produced, minus the amount
destroyed by technologies to be approved by the Parties to the Montreal
Protocol and minus the amount entirely used as feedstock in the manufacture of
other chemicals. The amount
recycled and reused is not to be considered as "production".
Consumption is the sum of
production plus imports minus exports of controlled substances. We are addressing apparent consumption. Weighted tonnes of ODS
means the amount of ODS multiplied by their ozone depleting potential.
Ozone depleting potential (ODP)
is a relative index of the ability of a substance to cause ozone depletion.
The reference level of 1 is assigned as an index to CFC-11 and CFC-12.
If a product has an ODP of 0.5, a given weight of the product in the
atmosphere would, in time, deplete half the ozone that the same weight of
CFC-11 or CFC-12 would deplete. ODPs
are calculated from mathematical models which take into account factors such
as the stability of the product, the rate of diffusion, the quantity of
depleting atoms per molecule, and the effect of ultraviolet light and other
radiation on the molecules.
(b) Measurement
Methods: Weighted Tonnes of
ODS for production are the sum of national annual production (in tonnes) of
each controlled substance (as reported to the Ozone Secretariat in accordance
with Article 7 of the Montreal Protocol) multiplied by the ozone depleting
potential of that substance (as listed in Annexes A, B, C and E of the
Handbook for the International Treaties for the Protection of the Ozone Layer,
2000). It can be found at: http://www.unep.org/ozone
or http://www.unep.ch/ozone.
Weighted Tonnes of Ozone Depleting Substances for consumption are
obtained through a similar calculation using national annual consumption
values (in tonnes).
(c) Limitations
of the Indicator: Availability
and accuracy of data and timely reporting will determine the country's ability
to use the indicator. The
indicator by itself does not reveal much about current trends in the
deterioration of the ozone layer because of delays in ecosystem response.
(d) Status
of the Methodology: For more
information, please consult the Reports of the Secretariat on information
provided by the Parties in accordance with Article 7 of the Montreal Protocol
or the Home Page at: http://www.unep.org/ozone
or http://www.unep.ch/ozone.
(e) Alternative
Definitions/Indicators: An
alternative indicator could focus on the phase out of ODS.
4.
ASSESSMENT OF DATA
(a) Data
Needed to Compile the Indicator: Data
on production, imports and exports of controlled substances by the Parties to
the Montreal Protocol.
(b) National
and International Data Availability and Sources: The data are available for most countries, on a national
level, on a regular annual basis, as part of their reporting obligations to
the Montreal Protocol. At the
international level from the Ozone Secretariat in Nairobi and from the
Multilateral Fund Secretariat in Montreal.
The data sources are the Ozone Secretariat and the national government
ministry responsible for reporting to the Montreal Protocol.
(c) Data
References: UNEP, Report of
the Secretariat on Information Provided by the Parties in Accordance with
Article 7 and 9 of the Montreal Protocol, United Nations Environment
Programme, pp. 105, 1999. UNEP, Production and Consumption of Ozone Depleting
Substances, 1986-1998, United Nations Environment Programme, pp. 41, 1999. Web
site: http://www.unep.org/ozone or http://www.unep.ch/ozone.
5.
AGENCIES INVOLVED IN THE DEVELOPMENT OF THE INDICATOR
(a) Lead
Agency: The lead agency is
the United Nations Environment Programme (UNEP)/Ozone Secretariat. The contact point is the Executive Secretary of the Ozone
Secretariat, fax no. (254-2) 62-3601/62-3913.
(b) Other
Contributing Organizations: Other
organizations interested in the further development of this indicator would
include: The Multilateral Fund Secretariat, the Global Environment Facility (GEF)
Secretariat, United Nations Development Programme (UNDP), UNEP Division of
Technology, Industry & Economics (UNEP DTIE), United Nations Industrial
and Development Organization (UNIDO), the World Bank, the Technology and
Economic Assessment Panel to the Montreal Protocol, the Parties to the
Montreal Protocol, the Organisation for Economic Co-operation and Development
(OECD), and members associated with the Alternative Fluorocarbon Environmental
Acceptability Study (AFEAS).
6.
REFERENCES
(a) Readings:
Ozone Secretariat, UNEP,
Handbook for the International Treaties for the Protection of the Ozone Layer,
pp.367, 2000. (ISBN: 92- 807-1867-3).
UNEP, Synthesis of the Reports
of the Scientific, Environmental Effects and Technology and Economic
Assessment Panels of the Montreal Protocol.
A Decade of Assessments for Decision Makers Regarding the Protection of
the Ozone Layer: 1989-1998, United Nations Environment Programme, pp. 161,
1999. (ISBN: 92-807- 1733-2).
UNEP, Reports of the
Technology and Economic Assessment Panel of the Montreal Protocol.
Reporting of Data by the
Parties to the Montreal Protocol on Substances that Deplete the Ozone Layer.
(b)
Internet sites:
http://www.uneptie.org/ozonaction.html
http://www.undp.org/seed/eap/montreal/index.htm
http://www-esd.worldbank.org/mp
AMBIENT
CONCENTRATION
OF AIR |
||
Environmental |
Atmosphere |
Air
Quality |
1.
INDICATOR
(a)
Name:
Ambient concentration of air pollutants in urban areas.
(b)
Brief Definition:
Ambient air pollution concentrations of ozone, carbon monoxide,
particulate matter (PM10, PM2,5,
SPM, black smoke), sulphur dioxide, nitrogen dioxide, nitrogen monoxide,
volatile organic compounds including benzene (VOCs) and lead.
(c)
Unit of Measurement:
μg/m3, ppm or ppb, as appropriate; or percentage of
days when standards/guideline values are exceeded.
(d) Placement
in the CSD Indicator Set: Environmental/Atmosphere/Air
Quality.
2.
POLICY
RELEVANCE
(a)
Purpose: The indicator provides a measure of the state of the
environment in terms of air quality and is an indirect measure of population
exposure to air pollution of health concern in urban areas.
(b)
Relevance to
Sustainable/Unsustainable Development (theme/sub-theme):
An increasing percentage of the world's population lives in urban
areas. High population density
and the concentration of industry exert great pressures on local environments.
Air pollution, from households, industry power stations and
transportation (motor vehicles), is often a major problem.
As a result, the greatest potential for human exposure to ambient air
pollution and subsequent health problems occurs in urban areas.
Improving air quality is a significant aspect of promoting sustainable
human settlements.
The
indicator may be used to monitor trends in air pollution as a basis for
prioritising policy actions; to map levels of air pollution in order to
identify hotspots or areas in need of special attention; to help assess the
number of people exposed to excess levels of air pollution; to monitor levels
of compliance with air quality standards; to assess the effects of air quality
policies; and to help investigate associations between air pollution and
health effects.
(c)
International
Conventions and Agreements:
None.
(d) International
Targets/Recommended Standards: World
Health Organization (WHO) air quality guidelines exist for all the pollutants
of this indicator, except nitrogen monoxide.
Many countries have established their own air quality standards for
many of these pollutants.
(e) Linkages
to Other Indicators: This indicator is closely linked to others which relate to
causes, effects, and societal responses.
These include, for example, the indicators on population growth rate,
rate of growth of urban population, percent of population in urban areas,
annual energy consumption per capita, emissions of sulphur oxides and nitrogen
oxides, life expectancy at birth, total national health care as a percent of
Gross National Product, share of consumption of renewable energy resources,
environmental protection expenditures as a percent of Gross Domestic Product,
expenditure on air pollution abatement, childhood morbidity due to acute
respiratory illness, childhood mortality due to acute respiratory illness,
capability for air quality management, and availability of lead-free gasoline.
3.
METHODOLOGICAL
DESCRIPTION
(a) Underlying Definitions and
Concepts: The indicator may
be designed and constructed in a number of ways.
Where monitored data are available, it is usefully expressed in terms
of mean annual or percentile concentrations of air pollutants with known
health effects – e.g., ozone, carbon monoxide, particulate matter (PM10,
PM2,5, SPM), black smoke, sulphur dioxide, nitrogen dioxide,
volatile organic compounds including benzene (VOCs) and lead – in the
outdoor air in urban areas. Alternatively,
the indicator might be expressed in terms of the number of days on which air
quality guidelines or standards are exceeded (though in this, comparisons need
to be made with care because of possible changes or differences in guideline
values).
Where
monitoring data are unavailable, estimates of pollution levels may be made
using air pollution models. Dispersion
models, however, depend on the availability of emission data; where these are
not available, surveys may be conducted using rapid source inventory
techniques. Because of the potential errors in the models or in the input
data, results from dispersion models should ideally be validated against
monitored data.
(b)
Measurement Methods:
Suitable air monitors must fulfil several requirements, such as
detection limits, interferences, time resolution, easy operation and of
course, cost. There are several
good references in the literature or available at agencies on air monitoring
and analysis from where information can be obtained.
It is important, however, to refer to the published scientific
literature for the most appropriate and recent air monitoring methods.
A
number of models are available for estimation of ambient concentration of air
pollutants. Most of them are
founded on the Gaussian air dispersion model.
(c)
Limitations of the Indicator:
Measurement limitations relate to detection limits, interferences, time
resolution, easy operation, and cost. Evaluation
of the accuracy of model results is critical before relying on model output
for decision-making.
(d)
Status of the Methodology:
The methodology is widely used in many developed and developing
countries.
(e)
Alternative Definitions: None.
4.
ASSESSMENT
OF DATA
(a)
Data Needed to Compile the Indicator:
Data must be time and spatially representative concentrations such as,
for example, mean annual concentrations (mean concentrations of the pollutant
of concern, averaged over all hours of the year) or percentile concentration
(concentration of the pollutant of concern exceeded in 100-X% of hours, where
X is the percentile as defined by the relevant standards).
In addition, information must be available on site location and type
(e.g., industrial or residential area).
(b)
National and International Data Availability and Sources:
Data on ambient air pollution concentrations is often routinely
collected by national or local monitoring networks.
Data is often also collected for research purposes by universities and
research institutes. In addition, industry collects many data.
(c)
Data
References:
Data on ambient air pollution can be obtained from national and local
monitoring networks. Sometimes,
data is available from universities, research institutes and industry.
In addition, a growing volume of data can be obtained from
international sources such as the WHO Healthy Cities Air Management
Information System (AMIS) of the European Environmental Agency.
5. AGENCIES INVOLVED IN THE DEVELOPMENT OF THE INDICATOR
(a) Lead
Agency:
The lead agency is the World Health Organization (WHO).
The contact point is the Director, Department for the Protection of the
Human Environment; fax no. (41 22) 791 4159.
(b) Other
Contributing Organizations: The United Nations
Environment Programme.
6. REFERENCES
(a) Readings:
WHO
(2000 in print) Air Quality Guidelines for Europe (revision of Air
Quality Guidelines for Europe 1987). WHO
Regional Office for Europe, Bilthoven Division.
WHO
(2000 in print) Human Exposure Assessment, Environmental Health
Criteria Document 214, Programme of Chemical Safety.
WHO
(2000) Decision-Making in
Environmental Health: From Evidence to Action, edited by C. Corvalan, D.
Briggs and G. Zielhuis, E & FN Spon, London, New York.
WHO
(1999) Monitoring Ambient Air Quality for Health Impact Assessment, WHO
Regional Publications, European Series, No. 85.
WHO
(1999) Environmental Health Indicators:
Framework and Methodologies. Prepared
by D. Briggs, Occupational and Environmental Health.
WHO
(1999) Global Air Quality Guidelines: Occupational and Environmental Health
(available on the web only).
WHO
(1987) Air Quality Guidelines for Europe, WHO Regional Office for
Europe, Bilthoven Division.
Schwela
& Zali (eds. 1999) Urban Traffic Pollution.
Edited by D. Schwela and O. Zali, E & FN Spon, London, New York.
UNEP/WHO
(1992) Urban Air Pollution in Megacities of the World, Blackwell
Publishers, Oxford, UK.
UNEP/WHO
(1994) Global Environmental Monitoring System (GEMS/Air), Methodology
Review Handbook Series. Volumes 2, 3, and 4.
(b) Internet
sites:
Environmental |
Land |
Agriculture |
1.
INDICATOR
(a) Name:
Arable and Permanent Crop Land Area.
(b) Brief
Definition: Arable and
permanent crop land is the total of “arable land” and “land under
permanent crops”. Arable land is the land under temporary crops, temporary
meadows for mowing or pasture, land under market and kitchen gardens and land
temporarily fallow (for less than five years); and land under permanent crops
is the land cultivated with crops that occupy the land for long periods and
need not be replanted after each harvest.
(c) Unit
of Measurement: 1000 ha.
(d) Placement
in the CSD Indicator Set: Environmental/Land/Agriculture.
2.
POLICY RELEVANCE
(a) Purpose:
This indicator shows the amount of land available for agricultural
production and, inter alia, the
cropland area available for food production.
The data when related to other variables such as population, total land
area, gross cropped area, fertilizer use, pesticides use, etc., can also be
used to study agricultural practices of the country. In order to be useful, it
must be available as a time series.
(b) Relevance
to Sustainable/Unsustainable Development (theme/sub-theme): Population
growth in developing countries is driving a rapid increase in the demand for
food and fibre. At the same time,
rising population density in rural areas diminishes the farm size.
Small farmers are forced to extend cultivation to new areas, which are
fragile and not suitable for cultivation.
Crop intensification, which has contributed significantly to
agricultural growth in recent years, can ease the pressure on cultivating new
lands but farm practices adopted for raising yields can also, in some
situations, result in damaging the environment (such as when expanding into
new areas). Changes in the
indicator value over time or between various components may show increased or
decreased pressure on agricultural land. This indicator is of value to land
planning decision making.
(c) International
Conventions and Agreements: Not
available.
(d) International
Targets/Recommended Standards: Not
applicable.
(e) Linkage
to Other Indicators: The
indicator is primarily linked to other measures related to land resources
covered in the Chapter 10: “Integrated Approach to the Planning and
Management of Land Resources” and Chapter 14: “Promoting Sustainable
Agriculture and Rural Development” of the Agenda 21.
This includes indicators such as land use changes, share of irrigated
area in the arable and permanent crop land area, per
capita arable and permanent crop land area, etc.
3.
METHODOLOGICAL DESCRIPTION
(a) Underlying
Definitions and Concepts: The
concept of arable land and land under permanent crop is clearly defined.
Arable land is the land under temporary crops (double-cropped areas are
counted only once), temporary meadows for mowing or pasture, land under market
and kitchen gardens and land temporarily fallow (less than five years).
The abandoned land resulting from shifting cultivation is not included
in this category. Data for arable
land are not meant to indicate the amount of land that is potentially
cultivable. Similarly land under
permanent crops is the land cultivated with crops that occupy the land for
long periods and need not be replanted after each harvest, such as cocoa,
coffee and rubber; this category includes land under flowering shrubs, fruit
trees, nut trees and vines, but excludes land under trees grown for wood or
timber.
(b) Measurement
Methods: The
indicator is connected to the use of land for agricultural activity and is
historically based on point estimates derived from data collected in periodic
agricultural censuses and surveys.
(c) Limitations
of the Indicator: This
indicator does not reveal anything about increased productivity of
agricultural land, or of the spatial variation in land quality.
(d) Status
of the Methodology: Concepts
and methods of measurements for the indicator are well defined and documented.
However, some of the countries follow somewhat different concepts.
For example, some countries take arable land as the land that is
potentially cultivable, whereas the actual definition excludes permanent
fallow land and land under permanent meadows and pastures.
Similarly, “permanent” status for pastures, etc., is taken as ten
years by some countries instead of the period of five years recommended by the
Food and Agriculture Organization of the United Nations (FAO).
(e) Alternative
Definitions/Indicators: Agricultural
land that includes permanent pastures
and meadows is a more appropriate indicator which
could universally be related to data on use of fertilizers, pesticides and
statistics on irrigated area (as some countries have permanently cultivated
pastures).
4.
ASSESSMENT OF DATA
(a) Data
Needed to Compile the Indicator: Data
on arable land and land under permanent crops.
Data on permanent pastures and fallow land also would be useful for
undertaking quality check.
(b) National
and International Data Availability and Sources: National data for the indicator has been estimated generally
through agricultural census/surveys. However,
in the case of many countries such statistical exercises are undertaken only
at selected points of time. At
the international level data are being produced by FAO.
This data set is produced as a continuous time series where missing
data for intercensal/survey periods have been derived by using data from
various official and non-official sources.
Thus the data for many countries are of unknown reliability.
(c) Data
References: The primary data
source at the international level is the Production Yearbook released annually
by the FAO and FAOSTAT database included in the World Agriculture Information
Centre (WAICENT).
5.
AGENCIES INVOLVED IN THE DEVELOPMENT OF THE INDICATOR
(a) Lead
Agency: The lead agency is
the Food and Agriculture Organization of the United Nations (FAO).
The contact point is the Assistant Director-General, Sustainable
Development Department, FAO; fax no. (39 06) 5705 3152.
(b) Other
Contributing Organizations: None.
6.
REFERENCES
(a) Readings:
FAO. 1995. Programme for the World Census of Agriculture 2000. In: FAO
Statistical Development Series (FAO), no. 5 / FAO, Rome (Italy). Statistics
Div., 85 pp.
(b) Internet
site:
FAO Statistical Databases.
http://apps.fao.org/
USE OF FERTILIZERS |
||
Environmental |
Land |
Agriculture |
1.
INDICATOR
(a)
Name:
Use of Fertilizers.
(b)
Brief Definition:
Extent of fertilizer use in agriculture per unit of agricultural land
area.
(c)
Unit of Measurement:
kg/ha.
(d)
Placement in the CSD Indicator
Set: Environmental/Land/Agriculture.
2.
POLICY RELEVANCE
(a)
Purpose: The purpose of this indicator is to measure the intensity of
fertilizer use in agriculture (crop husbandry).
(b)
Relevance to
Sustainable/Unsustainable Development (theme/sub-theme):
The challenge for agriculture is to increase food production in a
sustainable way. This indicator
shows the potential environmental pressure from agricultural activities. Extensive fertilizer use is linked to eutrophication of water
bodies, soil acidification, and potential of contamination of water supply
with nitrates. The actual
environmental effects will depend on pollution abatement practices, soil and
plant types, and meteorological conditions.
(c)
International Conventions and
Agreements: Not available.
(d)
International
Targets/Recommended Standards: Targets
should be based on national situations.
(e)
Linkages to Other Indicators:
This indicator is closely linked to others in the agricultural,
water, and atmospheric groups, such as pesticide use, biochemical demand in
water bodies, algae index, and emissions of greenhouse gases.
3.
METHODOLOGICAL DESCRIPTION
(a)
Underlying Definitions and
Concepts: The concepts are
available. Data on the quantities
of fertilizers used are converted into the three basic nutrient components and
aggregated. The three components
are nitrogen (N), phosphorous (P205), and potassium (K20).
Factors for chemical breakdown are standardized. Agricultural land is
the sum of arable and permanent crop land and land under permanent pastures
and meadows. However, due to the
limitations discussed in section 4(d) below, this indicator should be regarded
as interim for sustainable development purposes.
(b)
Measurement Methods:
Data on fertilizers are compiled from industry sources and
non-traditional sources. Data for
developing countries generally refer to domestic disappearance based on
imported products. The derived
figures in terms of nutrients are then divided by the agricultural land area.
(c)
Limitations of the Indicator:
Environmental impacts caused by leaching and volatilization of
fertilizer nutrients depend not only on the quantity applied, but also on the
condition of the agro-ecosystem, cropping patterns, and on farm management
practices. In addition, this
indicator does not include organic fertilizer from manure and crop residues,
or the application of fertilizers to grasslands.
The indicator assumes even distribution of fertilizer on the land.
(d)
Status of the Methodology:
Not available.
(e)
Alternative
Definitions/Indicators: A
more relevant and sophisticated indicator would focus on nutrient
balance to reflect both inputs and outputs associated with all
agricultural practices. This
would address the critical issue of surplus or deficiency of nutrients in the
soil. This would need to be based
on agro-ecological zones.
4.
ASSESSMENT OF DATA
(a)
Data Needed to Compile the
Indicator: Data on fertilizer
use for N, P205, and K20; and agricultural
area.
(b)
National and International Data
Availability and Sources: Data
for all countries exist at the national level only. The data are updated on a regular basis.
At the international level, the Food and Agriculture Organization of
the United Nations (FAO) is the primary source.
(c)
Data References:
see 6(a).
5.
AGENCIES INVOLVED IN THE DEVELOPMENT OF THE INDICATOR
(a)
Lead Agency: The lead agency is the
Food and Agriculture Organization of the United Nations (FAO).
The contact point is the Assistant Director-General, Sustainable
Development Department, FAO; fax no. (39 06) 5705 3152.
(b)
Other Contributing
Organizations: The
International Fertilizer Association is associated with the development of
this indicator.
6.
REFERENCES
(a)
Readings:
FAO.
1998. Food and agricultural sector
profiles. Country tables 1997. Statistics Div.; FAO, Rome (Italy).
Agriculture and Economic Development Analysis Division, 427 pp.
FAO.
1996. Fertilizer use by crop, 3.
International Fertilizer Industry Association, Paris (France); International
Fertilizer Development Center, Muscle Shoals, AL (USA); FAO, Rome (Italy).
Statistics Division, 49 pp.
(b)
Internet sites:
FAO
Statistical Databases. http://apps.fao.org/
International
Fertilizer Association. http://www.fertilizer.org/
USE OF AGRICULTURAL PESTICIDES |
||
Environmental |
Land |
Agriculture |
1.
INDICATOR
(a)
Name:
Use of Agricultural Pesticides.
(b)
Brief Definition:
Use of pesticides per unit of agricultural land area.
(c)
Unit of Measurement:
Pesticide use in metric tons of active ingredients per 10 km2
of agricultural land.
(d) Placement in the CSD Indicator
Set: Environmental/Land/Agriculture.
2.
POLICY RELEVANCE
(a)
Purpose:
This indicator measures the use of pesticides in agriculture.
(b)
Relevance to
Sustainable/Unsustainable Development (theme/sub-theme): The
challenge for agriculture is to increase food production in a sustainable way.
One important aspect of this challenge is the use of agricultural
pesticides which add persistent organic chemicals to ecosystems.
Pesticides can be persistent, mobile, and toxic in soil, water, and
air; and can have impact on humans and wildlife through the food chain.
They tend to accumulate in the soil and in biota, and residues may
reach surface and groundwater through leaching. Humans can be exposed to
pesticides through food. Exaggerated
use may result from government subsidies and/or failure of pesticide users to
internalize health-related costs. The
indicator is related to other agricultural intensification practices.
(c)
International Conventions and
Agreements: Some
agricultural pesticides are banned by international trade agreements.
(d)
International
Targets/Recommended Standards: Not
available.
(e)
Linkages to Other Indicators:
This indicator is closely linked to others in the
agricultural area, such as fertilizer use.
Use of pesticides can have wide implications for the environment, and
is linked to the indicators listed under toxic chemicals and biodiversity.
3.
METHODOLOGICAL DESCRIPTION
(a)
Underlying Definitions and
Concepts: The concepts
are available, however, because of the limitations discussed below in section
4(d), it should only be regarded as an interim indicator.
More work is required to develop a more suitable pesticide indicator
pertinent to sustainable development.
(b)
Measurement Methods:
Data on pesticide use are usually derived from sales or
“domestic disappearance” and expressed as active ingredients.
Agricultural area data are widely available. Interpretation will
benefit from information on types of active ingredients in use, seasonal
doses, rate of application, and variability on use for different crops and
regions.
(c)
Limitations of the Indicator:
This indicator provides an aggregation, which ignores toxicity,
mobility, and level of persistence; and spatial and application variances.
It does not consider the use of pesticides outside of agriculture,
which can be significant in developed countries.
Data omissions and errors often occur during the transfer of the
primary data to statistical authorities.
(d)
Status of the Methodology:
Not available.
(e)
Alternative
Definitions/Indicators: To
meet some of the limitations expressed above in section 4(d), an indicator
could be developed which would recognize the classification of pesticide into
classes, ranging from less harmful to highly toxic.
Such a pesticide index would show if pesticide use is becoming more
sustainable or not. The
interpretation value of this indicator would benefit from its application to
crop types or agro-ecological zones. However,
data availability does not support this in many areas.
4.
ASSESSMENT OF DATA
(a)
Data Needed to Compile the
Indicator: Pesticide
sales data; agricultural land area.
(b)
National and International Data
Availability and Sources: The land area data are readily available for most
countries. However, pesticide
supply-use data in metric tons are only available from international sources
for selected countries and limited to the major types of pesticide.
Some pesticide data are available for about 50-60 countries.
The data are not regularly collected and reported, and not usually
available on a sub-national basis. Some
data are available on total national pesticide use from the Food and
Agriculture Organization of the United Nations (FAO) and the Organisation for
Economic Co-operation and Development (OECD).
Eurostat maintains a database of their members’ data. Landell Mills
Market Research Ltd. (Bath, UK) also has data.
(c)
Data References:
see 6(b).
5.
AGENCIES INVOLVED IN THE DEVELOPMENT OF THE INDICATOR
(a)
Lead Agency: The lead agency is the
Food and Agriculture Organization of the United Nations (FAO).
The contact point is the Assistant Director-General, Sustainable
Development Department, FAO; fax no. (39 06) 5705 3152.
(b)
Other Contributing
Organizations: OECD,
the European Union, and Landell Mills Market Research Ltd. have been involved
in the development of this indicator.
6.
REFERENCES
(a)
Readings: Not available.
(b)
Internet sites:
Food
and Agriculture Organization of the United Nations (FAO). http://www.fao.org/
Organisation for
Economic Co-operation and Development (OECD). http://www.oecd.org/
Environmental |
Land |
Forests |
1.
INDICATOR
(a)
Name:
Forest Area as a Percent of Land Area.
(b)
Brief Definition:
The amount of natural and plantation forest area tracked over time.
(c)
Unit of Measurement:
%.
(d)
Placement in the CSD Indicator
Set: Environmental/Land/Forests.
2.
POLICY RELEVANCE
(a)
Purpose:
The purpose of the indicator is to show the area covered by the
forest formations of a region/country over time.
(b)
Relevance to
Sustainable/Unsustainable Development (theme/sub-theme): Forests serve
multiple ecological, socio-economic, and cultural roles in many countries. They are among the most diverse and widespread ecosystems of
the world. Forests provide many
significant resources and functions including wood products and non-wood
products: recreational opportunities, habitat for wildlife, water and soil
conservation, and a filter for pollutants.
They support employment and traditional uses, and biodiversity.
There is general concern over human impact on forest health, and the
natural processes of forest growth and regeneration.
Combating deforestation to maintain the production of wood and non-wood
products and to preserve soils, water, air and biological diversity is
explicitly considered in Agenda 21.
A
continuing and fast decreasing forest area in a country might be an alarm
signal of unsustainable practices in the forestry and agricultural sector.
The availability of accurate data on a country's forest area, which is
a basic characteristic of its forest resources, is an essential requirement
for forest policy and planning within the context of sustainable development.
(c)
International Conventions and
Agreements: Many
international agreements cover forests. Countries
are supported to maintain or increase their forested areas.
Specific forest agreements would include the Non-Legally Binding Authoritative Statement of Principles for a Global
Consensus on the Management, Conservation and Sustainable Development of All
Types of Forests (the Forest Principles of the United Nations Conference
on Environment and Development (UNCED)); and the International Tropical Timber Agreement. Many other international agreements deal with forests within
the context of natural resources and environment conservation, for example,
the Convention on International Trade in Endangered Species (CITES), the
Convention on the Conservation of Wetlands of International Importance (Ramsar
Convention), the Convention on Biological Diversity, the Convention on Climate
Change and the Convention to Combat Desertification. In addition, several
regional conventions cover forests.
(d)
International
Targets/Recommended Standards: There
are no international targets or standard sets for size of forest or rate of
deforestation. It is, however,
understood that the higher the deforestation rate is, the more critical the
forestry situation is in a country/region.
Several countries have set targets for the extent of their forest area,
either in absolute values or as a percentage of total land area of the
country. Nevertheless, the
International Tropical Timber Organization (ITTO) Year 2000 Objective states
that by the year 2000 all tropical timber products traded internationally by
Member States shall originate from sustainably managed forests.
(e)
Linkages to Other Indicators:
The indicator is closely linked with several other environmental
indicators, such as land use and land condition change, wood and non-wood
products harvesting intensity, protected forest area, arable land, threatened
species, sustainable use of natural resources in mountain areas, etc.
In some countries, it will also be generally linked to some of the
socio-economic indicators, such as population growth and share of natural
resource industries in manufacturing.
3.
METHODOLOGICAL DESCRIPTION
(a)
Underlying Definitions and
Concepts: Definitions are
available from the Food and Agriculture Organization of the United Nations (FAO)
Forest Resources Assessments. The
forest area is defined as "lands with a tree crown cover equal
or more than ten percent of the area”; plantation as the artificial
establishment of forests by planting or seeding; and natural forests as natural and/or semi-natural established forests.
In addition, the definition of forest
exists in most countries. The
comparisons of forest area over time using reference years allows the
calculation of change in absolute values, and as a percentage of the
deforestation rate.
Different
land uses practices and ranges of ecological condition result in different
forest types, such as tropical or temperate.
These differences should be recognized, especially in country
comparisons.
(b)
Measurement Methods:
The measurement methods for forest area can be contained in national
forest inventories, and obtained by sampling ground surveys, cadastral
surveys, remote sensing, or a combination of these.
The
forest area is calculated as the sum of plantations and natural forest areas
with tree crown cover equal or more than ten percent.
This calculation is made at given reference years as follows:
The
deforestation rate (DR) is the compound annual rate in percent from year P to
year N:
(d)
Status of the Methodology:
Not available.
(e)
Alternative
Definitions/Indicators: Plantation
area compared to natural forest would provide a measure of the intensity of
forest practices for timber production and possible ecosystem implications.
4.
ASSESSMENT OF DATA
(a)
Data Needed to Compile the
Indicator: The total forest
area of a country, including plantations, at different yearly intervals.
(b)
National and International Data
Availability and Sources: Data
on the extent of forest areas (natural and plantations) are available for most
countries, both at national and sub‑national scales. The data are often estimates, which are not always comparable
because of changes in definitions and assessment methodologies. International
data are available from FAO Forest Resources Assessments (FRA).
National data is available from ministries responsible for forestry and
statistics
(c)
Data References:
Not available.
5.
AGENCIES INVOLVED IN THE DEVELOPMENT OF THE INDICATOR
(a)
Lead Agency: The lead agency
is the Food and Agriculture Organization of the United Nations (FAO).
The contact point is the Assistant Director-General, Sustainable
Development Department, FAO; fax no. (39 06) 5705 3152.
(b)
Other Contributing
Organizations: The United
Nations Environment Programme (UNEP); United Nations regional commissions; and
national agencies responsible for forestry, remote sensing and geographic
survey; and universities and research institutes could all play a useful role
in the development of this indicator.
6.
REFERENCES
(a)
Readings:
FAO.
1999. State of the World's Forests (FAO).
/ FAO, Rome (Italy). Forestry Dept., 154 pp.
FAO.
1995. Forest resources assessment 1990:
global synthesis. FAO Forestry Paper (FAO), no. 124 / FAO, Rome (Italy).
Forestry Dept., 100 pp.
FAO.
1993. Forest resources assessment 1990:
Tropical countries. FAO Forestry Paper (FAO), no. 112 / FAO, Rome (Italy).
Forestry Dept., 110 pp.
FAO.
Forest Resources Assessments 1980, 1990 and 2000.
Harcharik,
D.A. 1995. Forest Resources Assessment 1990: non-tropical developing countries.
/ FAO, Rome (Italy). Forestry Dept., 12 pp.
(b)
Internet sites:
International data
provided by other institutions, for example World Resources Institute, are
mostly based on the FAO Forest Resources Assessment information and data. http://www.wri.org/
FAO
Statistical Databases. http://apps.fao.org
The
FAO Forestry Department Information Note on Criteria
and Indicators for Sustainable Forest Management.
http://www.fao.org/forestry/FODA/infonote/infont-e.stm
The
United Nations Environment Programme (UNEP).
http://www.unep.org/
WOOD HARVESTING INTENSITY |
||
Environmental |
Land |
Forests |
1. INDICATOR
(a) Name:
Wood Harvesting Intensity.
(b) Brief
Definition: The indicator
compares the total forest fellings as a percentage of the net annual
increment.
(c) Unit
of Measurement: %.
(d) Placement
in the CSD Indicator Set: Environmental/Land/Forests.
2.
POLICY RELEVANCE
(a) Purpose:
The indicator aims at assessing whether forests are being used
within the limits of their actual productivity.
If the ratio is smaller or equal to one, it means that the country is
harvesting less, or equal, to the annual forest increment.
This represents the sustained
yield principle. If the ratio
is more than one, a country is over-harvesting its wood, or other specific
forest resource.
(b) Relevance
to Sustainable/Unsustainable Development:
Forests serve multiple ecological, socio-economic, and cultural
roles in many countries. They are
among the most diverse and widespread ecosystems of the world. Forests provide
many significant resources and functions including wood products and non-wood
products: recreational opportunities, habitat for wildlife, water and soil
conservation, and a filter for pollutants.
They support employment and traditional uses, and biodiversity.
There is general concern over human impact on forest health, and the
natural processes of forest growth and regeneration.
Combating deforestation to maintain the production of wood and non-wood
products but also to preserve soils, water, air and biological diversity is
explicitly considered in Agenda 21.
This indicator is relevant for
assessing the sustainability of forest management when interpreted over a long
time period. The harvest rate set
by a country is a function of the size of its forests, the proportion of the
forest area dedicated to timber production, the productivity of the forest and
its age class structure, and the management objectives and sustained yield
policies of the country. The
indicator relates sustained yield to actual harvest in terms of a relative
balance between forest growth and harvest.
(c) International
Conventions and Agreements: Many
international agreements cover forests. Countries
are supported to maintain or increase their forested areas, and discouraged to
strongly reduce their forest lands. Specific
forest agreements would include the Non-Legally
Binding Authoritative Statement of Principles for a Global Consensus on the
Management, Conservation and Sustainable Development of All Types of Forests (the
Forest Principles of the United Nations Conference on Environment and
Development [UNCED]); and the International
Tropical Timber Agreement. Many
other international agreements deal with forests within the context of natural
resources and environment conservation, for example, the Convention on
International Trade in Endangered Species (CITES), the Convention on the
Conservation of Wetlands of International Importance (Ramsar Convention), the
Convention on Biological Diversity, the Convention on Climate Change, the
Convention to Combat Desertification. In addition, regional/ecoregional
agreements on sustainable forest management have been established.
(d) International
Targets/Recommended Standards: In
general, the target would be set by the sustained
yield principle. Several
countries have calculated their total annual allowable cut, or total annual
increment, and their total annual removals.
Most developed countries are harvesting between 70 and 80 percent of
the total annual increment of their forests.
Targets still need to be established for tropical forests.
(e) Linkages
to Other Indicators: This
indicator is linked to other natural resource indicators within the
environment category, such as protected forest area, and land use and
condition change. It is also
linked to such socio-economic indicators as share of natural resource
industries in manufacturing.
3.
METHODOLOGICAL DESCRIPTION
(a) Underlying
Definitions and Concepts: Concepts
and definitions are generally available for developed countries, and for all
countries in the case of plantations. Additional
work is required to determine the natural increment concept for tropical
forests. The following
definitions are available from the Food and Agriculture Organization of the
United Nations (FAO). Annual
Roundwood Production includes all wood obtained from removals from forest
and from trees outside the forest. FAO
statistics include recorded volumes as well as estimated unrecorded volumes.
Forest Growing Stock means
the above-ground volume of all living standing trees down to a stated minimum
diameter. Total Annual Increment represents the total annual increment of wood
due to the growth of the trees during a year.
(b) Measurement
Methods: The enumerator is
the total annual roundwood production. The
denominator is the total annual productive forest increment.
An adequate time series is required to show meaningful trends.
For tropical natural forests, where no data is available on the forest
annual increment, or where the harvested wood comes only from a few species,
an adjustment is proposed which relates annual production to the total
standing volume of the forest and the average rotation cycle applied in a
country for a given reference year. This,
for example, would be 120 years for teak forests in Burma.
(c) Limitations
of the Indicator: The
indicator is related to timber production.
It does not relate to the production of non-wood products, nor to the
provision of forest and forest ecosystems of environmental and social service
which, together with wood production, should be measured and monitored to
access sustainability. It has
implication for other forest resources, but an indicator considering all
values of forest ecosystems would be more appropriate from a sustainable
development perspective. For the
present indicator, reliable data are only available from a minority of
countries, mostly developed, and for plantations.
However, research data on the annual increment of tropical natural
forests are improving, and it is expected that sufficient data and estimates
should become available during the coming years.
Harvesting intensity gives us
an indication of the degree of tree cover reduction at a given time, but does
not refer to what will happen to the forest after it has been “intensely
harvested”. Clearfelled forest,
for example, maybe harvested at an intensity of 100 percent, but may also be
reforested afterwards. Thus,
additional indicators for deforestation are needed, which contain time
components (time during which the area will stay without tree cover), and land
uses other than forest.
This indicator should be
interpreted over the longer term. In
given cases, the annual roundwood production might exceed the forest increment
for market reasons, age structure of forests, or other reasons for a few years
without being an indication for unsustainable management.
However, such an unsustainable situation should under no circumstances
persist over several decades.
(d) Status
of the Methodology: Not
available.
(e) Alternative
Definitions/Indicators: This
indicator compares the amount of yearly, or other time period, harvested wood,
or any other forest product, with the annual increment from the forest.
If the annual increment is not known, allowable cut can be used as a
surrogate.
4.
ASSESSMENT OF DATA
(a) Data
Needed to Compile the Indicator: Data
are needed on growing stock, annual roundwood production, annual increment,
and the rotation cycle.
(b) National
and International Data Availability and Sources: Data are available for most countries at both national and
sub-national levels. However, in
many cases, especially for natural forests where rough estimates are only
available, data are available for only one time period, with no time series
data. The primary international
source of data is FAO. At the
country level, the data would be available from national ministries
responsible for forestry.
(c) Data
References: Not available.
5.
AGENCIES INVOLVED IN THE DEVELOPMENT OF THE INDICATOR
(a) Lead
Agency: The lead agency is
the Food and Agriculture Organization of the United Nations (FAO).
The contact point is the Assistant Director-General, Sustainable
Development Department, FAO: fax No. (39 06) 5705 3152.
(b) Other
Contributing Organizations: The
International Tropical Timber Organization (ITTO) could assist with the
development of this indicator.
6.
REFERENCES
(a) Readings:
FAO. 1999. State of the World's Forests (FAO). / FAO, Rome (Italy). Forestry
Dept., 154 pp.
FAO Forestry publications
including Forestry Papers.
United Nations Economic
Commission for Europe, Timber Studies, Timber
Bureau, Geneva.
(b) Internet
sites:
FAO Statistical Databases.
http://apps.fao.org
The International Tropical
Timber Organization (ITTO). http://www.itto.or.jp/
Environmental |
Land |
Desertification |
(a)
Name:
Land Affected by Desertification.
(b)
Brief Definition:
This is a measure of the amount of land affected by desertification and
its proportion of national territory.
(c)
Unit of Measurement:
Area (Km2) and % of land area affected.
(d)
Placement in the CSD Indicator
Set: Environmental/Land/Desertification.
2.
POLICY RELEVANCE
(a)
Purpose: The indicator describes the extent and severity of
desertification at the national level. It
should be: (i) a measure of the state of the problem at any one time; (ii) an
indication of the trend in the severity of the problem over time and success
of response mechanisms; and (iii) a means of comparing the severity of the
problem from one country to another.
(b)
Relevance to
Sustainable/Unsustainable Development (theme/sub-theme):
The indicator should be a mechanism for determining the importance
of this issue at the national level. Trend
data over time can indicate success of response mechanisms. For dryland areas, desertification is a central problem in
sustainable development. While
many dryland ecosystems have generally low levels of absolute productivity,
maintenance of that productivity is critical to the present and future
livelihood of many hundreds of millions of people. Combating desertification is the core of sustainable
development for large areas of the world.
Severe degradation is a major impedent to sustainable development;
moderate or slight degradation is also a significant barrier.
(c)
International Conventions and Agreements:
The two most significant agreements are: Agenda 21 of the 1992 UN
Conference on Environment and Development; and the UN Convention to Combat
Desertification, 1994. In
addition, the Desertification Convention texts (INCD-10/ New York) spell out a
sound methodology for developing indicators.
No definitive set of indicators has been agreed upon within the context
of the desertification Convention.
(d)
International Targets/Recommended Standards: No
specific targets have been defined, however, the goal should be to reduce the
area and percentage of land affected by desertification, and/or reduce the
severity of desertification.
(e)
Linkages to Other Indicators: This
state and trends indicator needs to be considered in conjunction with related
driving force and response indicators, integrating physical and socio-economic
processes, for meaningful interpretation and policy relevance at the national
level. It is closely linked with
indicators concerning land use, such as deforestation, use of marginal land,
protected area as a percent of total land area, and population living below
the poverty line.
3.
METHODOLOGICAL DESCRIPTION
(a)
Underlying Definitions and
Concepts: For the purposes of
this indicator, desertification is defined as land degradation in arid,
semi-arid, and dry sub-humid areas resulting from various factors, including
climatic variations and human activities (UN Convention to Combat
Desertification, 1994). Land
degradation means reduction or loss, in arid, semi-arid and dry sub-humid
areas of the biological or economic productivity and complexity of rainfed
cropland, irrigated cropland, or range, pasture, forest and woodlands
resulting from land uses or from a process or combination of processes,
including processes arising from human activities and habitation patterns,
such as: (i) soil erosion caused by wind and/or water; (ii) deterioration of
the physical, chemical and biological or economic properties of soil; and,
(iii) long-term loss of natural vegetation.
Land degradation, therefore, includes processes which lead to surface
salt accumulation and waterlogging associated with salt-affected areas.
Arid, semi-arid, and
dry sub-humid areas
means areas, other than polar and sub-polar regions, in which the ratio of
annual precipitation to potential evapotranspiration falls within the range
from 0.05 to 0.65 (UN Convention
to Combat Desertification, 1994).
(b)
Measurement Methods:
Measurement for this indicator initially requires an assessment of the
extent of land degradation throughout the arid, semi-arid, and dry sub-humid
zones of the nation. This is best done by a combination of previous
assessments represented in map form, carried out by the United Nations
Environment Programme (UNEP) with the United Nations Office to Combat
Desertification and Drought (UNSO), and the Food and Agricultural Organization
(FAO); and updates from a combination of remote sensing and local knowledge.
The
creation of an index that combines degrees of severity will require the
following measures:
(i)
Area subjected to severe land degradation xKm2 (severe here
includes both the severe and very severe categories of UNEP.
(ii)
Area subjected to moderate land degradation yKm2.
(iii)
Area subjected to slight land degradation = zKm2.
(iv)
National area (excluding surface water bodies) nKm2.
(v)
National area of drylands (vulnerable to desertification, assuming that
all drylands are potentially vulnerable to desertification. Hyper-arid lands
are excluded), consisting of arid, semi-arid, and dry subhumid land = dKm2.
From
the above measurements, the following sets of numbers can be derived:
Indicator
computations:
a.
National area affected by desertification
=
x + y + zKm2
b.
Percent of national area affected by desertification
=
x + y + z
X 100
c.
Percentages of national area affected by severe, moderate and slight
desertification respectively can be calculated in the same way.
d.
Percent of national drylands affected by desertification
=
x + y + z X
100
d
e.
National area not affected by desertification
= n - (x + y +z)Km2
=
d - (x + y + z)Km2
Trends
can be determined by comparing results computed for a sequence of years (for
example, every five years).
A
useful extension of the indicator would be for countries to report dryland
areas (d) as a percentage of all agriculturally productive areas (e=n-hyper
arid land) to give an indication of the overall vulnerability of the country
to desertification.
While
it is based on a combination of analytical and subjective assessment, if these
are done systematically on an annual basis, a sound database can be developed. Given the importance of determining the extent and severity
of desertification to the index, it may be that a periodic special survey
using remote sensing and ground assessment may be important, though this may
only be technically feasible for some countries.
An
important issue in the basis measurement of degradation is the factors that
are measured to assess the degree of local degradation.
As Bie (1990) clearly points out, the two factors of productivity
and resilience are the most
important elements in assessing the existence and the extent of dryland
degradation. Accurate measurement
of land affected by desertification is a problem about which there is not yet
complete consensus and further work needs to be done to agree on a comparable
methodology for the various countries affected by desertification (UNEP, Atlas
of Desertification; UNEP/ISRIC/ISS/FAO, Global Assessment of the Status of
Human-induced Soil Degradation (GLASOD)).
(c)
Limitations of the Indicator:
There are a number of issues to be resolved before this indicator can
be entirely satisfactory. The ecosystems addressed in this definition undergo cyclic
episodes of more or less rainfall, as well as long-term degradation in many
cases. Separating short-term
fluctuations from longer-term trends is important, though scientists often
find this difficult to determine, except for longer time periods.
Also, the United Nations Environment Programme (UNEP) has generally
defined desertification (degradation) in categories (severe, moderate,
slight), and a national indicator needs to include an assessment of this kind.
It has been a practice to include problems of waterlogging and
salinization as part of desertification, if they occur within the ecosystems
as defined above. In this case,
the area affected by these problems should also be included in the desertified
area.
Because
of these issues, the indicator may well benefit from further refinement and
definition. The concepts of land degradation in arid, semi-arid, and dry
sub-humid areas are well defined and described in a number of UNSO, UNEP, and
other UN publications, as well as in the academic literature.
The translation of these concepts into agreed national level indicators
has not been so well articulated. (Mabbutt,
J.A. 1986; Maimuet 1991).
(d)
Status of the Methodology:
The methodology for the compilation of the above statistics has not
yet been agreed upon by any inter-governmental fora, however negotiations are
underway. It has therefore the
status of a recommendation for guidelines.
(e)
Alternative
Definitions/Indicators:
Not available.
4.
ASSESSMENT OF DATA
(a)
Data Needed to Complete the Indicator:
The data needed to compile the indicator are the extent and severity of
dryland degradation in the country concerned, the dryland area, and national
area (excluding surface water bodies). The
degree of accuracy and reliability of both spatial and statistical data varies
considerably and are often poorly documented and/or out of date.
For some countries, the data do not yet exist. Benchmark data on desertification is critical to measuring
progress.
(b)
National and International Data Availability and Sources:
Dryland and national
areas can be obtained from national statistical institutions and publications,
and can also be found in standard World Resources Institute (WRI), UN and
World Bank publications. Some
data on extent and degree of land degradation are available at the country
level in national institutions or from non-government organizations, in donor
countries, and in publications of the United Nations Development Programme (UNDP)/UNSO,
UNEP, FAO and other international institutions.
5.
AGENCIES INVOLVED IN THE DEVELOPMENT OF THE INDICATOR
(a)
Lead Agency: The lead agency is the Office to Combat Desertification and
Drought (UNSO) of UNDP. The
contact point is the Director, UNSO; fax no. (1 212) 906-6345.
(b)
Other Contributing
Organizations: Other
contributing organizations include: UNEP, FAO, Consultative Group on
International Agricultural Research (CGIAR), International Fund for
Agricultural Development (FAD), ISRIC, the International Union for the
Conservation of Nature (ACNE), and selected national governments.
6.
REFERENCES
(a)
Readings:
Bie,
Stein W. 1990. Dryland Degradation Measurement Techniques, World Bank, Environment
Work Paper No. 26, 42 p.
Dregre,
H., Kassas M. and Rozanov, B. 1991
A new assessment of the world status of desertification.
Desertification Control Bulletin 20. p. 6-18.
Dumanski,
J. And Pieri, C. 1994.
Comparison of available frameworks for development of land quality
indicators. Agr. Tech. Div., World
Bank. p. 14.
Mabbutt,
J.A. 1986.
Desertification Indicators. Climatic Change 9. P.
113-122.
Mainguet,
M. 1991 Desertification: Natural Background and Human Mismanagement.
Springer-Verlag, Berlin. 306 p.
Organisation
for Economic Co-operation and Development. 1998.
“Towards Sustainable Development:Environmental Indicators”.
OECD. Paris.
O
Connor, J. et al. 1995.
Monitoring Environmental Progress(Draft).
World Bank. 72 p.
UNDP/UNSO
and NRI. 1995. Development of Desertification Indicators for Field Level
Implementation. 53 p.
UNEP.
1992. World Atlas of Desertification.
Edward Arnold. London.
UNEP.
1994. United Nations Convention to Combat Desertification in those countries
experiencing drought and/or desertification, particularly in Africa.
Text with Annexes. 71 p.
UNEP/ISRIC.
1988. Guidelines for General Assessment of the Status of Human-induced Soil
Degradation (GLASOD).
UNEP/ISRIC.
1990. World Map of the Status of Human-induced Soil Degradation:
An Explanatory Note (GLASOD).
UNEP/ISRIC.
1991. World Map of the Status of Human-induced Soil Degradation.
(GLASOD).
UNEP/ISRIC/ISSS/FAO.
1995. Global and National Soils and Terrain Digital Databases (SOTER),
Procedures Manual (revised edition). ISBN
90-6672-059-X.
UNEP/Netherlands
National Institute of Public Health and Environment (RIVM). 1994. An Overview
of Environmental Indicators: State of the art and perspective. UNEP/EATR.94-01:RIVM/402001001.
Environmental Assessment Sub-Programme, UNEP, Nairobi. ISBN 92-807-1427-9.
WB/FAO/UNDP/UNEP. In print. Land
Quality Indicators. World Bank Discussion Papers.
(b)
Internet
sites:
United
Nations Convention to Combat Desertification.
http://www.unccd.ch
United
Nations Development Programme’s Office to Combat Desertification and Drought
(UNSO). http://www.undp.org/seed/unso.html
AREA OF URBAN FORMAL AND INFORMAL SETTLEMENTS |
||
Environmental |
Land |
Urbanization |
1.
INDICATOR
(a)
Name: Area of Urban Formal and Informal Settlements.
(b)
Brief Definition:
Urban residential area in square kilometres occupied by formal and
informal settlements.
(c)
Unit of Measurement:
km2.
(d)
Placement in the CSD Indicator
Set: Environmental/Land/Urbanization.
2.
POLICY RELEVANCE
(a)
Purpose:
The indicator measures the sizes of both formal and informal
settlements. By focusing on the
legality of human settlements, this indicator measures the marginality of
human living conditions.
(b)
Relevance
to Sustainable/Unsustainable Development (theme/sub-theme): Settlements
characterized by illegality of tenure and unauthorized shelter are generally
marginal and precarious, and do not cater to basic human needs such as
affordable housing. They affect
sustainable human settlements development, human health, and socioeconomic
development.
Illegal
dwellers generally live in an unsafe and precarious environment, lack basic
services, suffer from the absence of tenure security, and have no legal claim
in case of eviction. Also,
numerous illegal settlements are established on lands which are predisposed to
natural disasters. Informal settlements have usually a much higher population
density than formal settlements and these living conditions constitute a
threat to human health.
(c)
International Conventions and
Agreements: Not applicable,
see section 2(d).
(d)
International
Targets/Recommended Standards: No
international targets have been established for this indicator.
(e)
Linkages to Other Indicators:
This indicator is closely linked with several other socioeconomic and
environmental indicators, such as rate of growth of urban population, human
and economic losses due to natural disasters, access to adequate sanitation,
primary health care, infant mortality, infrastructure expenditure, and land
use.
3.
METHODOLOGICAL DESCRIPTION
(a)
Underlying Definitions and
Concepts: Informal
settlements refer to: i) residential areas where a group of housing units has
been constructed on land to which the occupant have no legal claim, or which
they occupy illegally; ii) unplanned settlements and areas where housing is
not in compliance with current planning and building regulations (unauthorized
housing). Formal settlements refer to land zoned residential in city master
plans or occupied by formal housing.
(b)
Measurement Methods:
Area of formal and informal settlements can be evaluated through aerial
photography or land use maps. Informal
settlements should not cover dwelling units which have been regularized, that
is those units for which land titles, leases or occupancy permits have been
granted. They should only include
those units which presently occupy land illegally and/or housing units which
are not in compliance with current regulation.
Where feasible, the interpretation and meaning of this indicator would
be supported by the comparison of formal and informal settlement areas to
total urban area.
(c)
Limitations of the Indicator: The
ephemeral nature and lack of an acceptable operational definition for this
indicator, limit its usefulness, especially for trend analysis.
The legal framework for settlements on which this indicator is based
varies from country to country. Informal housing is not registered in official
statistics, any measure of informal settlements remains limited. Information
may be obtained from specific research studies, but it difficult to obtain and
may be of variable quality. Homelessness,
which is one of the extreme symptoms of human settlements inadequacy, is not
accounted for by this indicator and in fact the existence of illegal
settlements may reduce the incidence of homelessness. This indicator does not cover informal settlements in rural
areas.
(d)
Alternative
Definitions/Indicators: Many
concepts intended to measure marginality of human settlements have been
formulated: unplanned, squatter, marginal settlements, unconventional, non
permanent structures, housing in compliance, inadequate housing, slums, etc.
"Unconventional dwellings" is one of the most common
measures, defined by the number of housing units occupied by households, but
considered inappropriate to human habitation. ‘Improvised housing units’
is another category used by the Census, defined as independent, makeshift
shelters constructed of waste materials and without a predetermined plan for
the purpose of habitation by one household. Included in this category are
squatters’ huts, favelas, hongos, jhuggis, etc.
The type of building (permanent, semi‑permanent, non permanent),
which describes the building structures in which households live, is another
common measure but the criteria widely vary from country to country.
4.
ASSESSMENT OF DATA
(a)
Data Needed to Compile the
Indicator: Area of formal and
informal settlements.
(b)
National
and International Data Availability and Sources: These data are more likely
to be available at the city level and are generally collected in large cities
affected by informal settlements. Data
sets at the national level will only occur sporadically.
(c)
Data References:
Data from research studies, census data, and aerial photographs.
5.
AGENCIES INVOLVED IN THE DEVELOPMENT OF THE INDICATOR
(a)
Lead Agency: The lead agency is the United Nation Centre for Human
Settlements (Habitat). The
contact point is the Head, Urban Secretariat, UNCHS (Habitat); fax no. (254 2)
623080.
6.
REFERENCES
(a)
Readings:
World
Bank. Housing: Enabling Markets to Work.
A World Bank Policy Paper. The World Bank, Washington D.C., 1993.
UNCHS
(Habitat) and The World Bank. The
Housing Indicators Programme. Report of the Executive Director (Volume I).
UNCHS, Nairobi, 1993.
UNCHS
(Habitat). Monitoring the Shelter Sector. Housing Indicators Review. UNCHS,
Nairobi, 1995.
(b)
Internet site:
UNCHS
(Habitat) home page: http://www.urbanobservatory.org/indicators/database