Data Collection & Calculation Procedure
Data collection
The
collection of data is one of the most important factors of the ecological footprints. It is this information that will feed into
all categories and digest into the footprint.
It is important because it is the foundation of the calculation and if
this data is imprecise the value of the footprint is impaired and would not be
considered as a useful instrument for sustainable development.
Since
1984 the Worlds Resources Institute has provide statistical information
regarding the environment, social and economic.
This information has proved invaluable for footprinting, however international
statistics often focus mainly on production and trade, omitting
consumption. EarthTrends is an online
collection of information that has been put together by the World Resources
Institute it collates data from various sources and puts them into a more
versatile format. There are over thirty-seven different sources to this website
and for the purposes of this text I am not listing them all and would advise
visiting the website to view them. [1]
To
simplify data collection, it is found useful to adopt data classification used
for official statistics. On this basis,
to separate consumption into five major categories:
1.
Food
2.
Housing
3.
Transportation
4.
Consumer
Goods
5.
Services.
These
categories can be subdivided as required for more distinguished analyses.
For each
consumption item, a detailed analysis would encompass all the embodied
resources that go into production, use and disposal of that item.
The ecological footprint of a population is estimated by calculating how much land and water area is required on a continuous basis to produce the five major consumption categories, and to assimilate all the wastes generated, by that population. This is achieved using a simple classification of ecological productivity involving land categories.
The data
for each category reflects not only the space directly occupied by individual
consumption items but also the land consumed in producing and maintaining them.
Calculation Procedure
1.
Estimate the land area appropriated per capita for the production of each major
consumption item. Dividing the average annual consumption of that item obtained
from data sources by its average annual productivity or yield does this:
How much
forest area is dedicated to providing pulp-wood for the paper by the average
Each
For
ecological footprint analyses an average wood productivity of 2.3m3/ha/yr
is assumed.
207 kg
paper per capita per year x 1.8m3/t (production metric ton of wood)
--------------------------------------------------------------------------------------------------
= 0.16 ha/capita
1,000 kg/t x 2.3m3/ha/yr (average
annual productivity)
The
estimated forest area appropriated per capita for the production of paper is
0.16 hectares.
2. The
total ecological footprint of the average person the per capita footprint is
calculated by summing all the ecosystem areas appropriated by all purchased
items in his or her annual shopping basket of consumed goods and services:
Footprint Breakdown, consumption – land use matrix
table
Cell entries = ecologically productive land
(ha/capita)
The
diagram is taken from the
3.
Finally we obtain the ecological footprint of the study of population by
multiplying the average per capita footprint by population size:
5.46 ha/capita x 58,974,000 =
321,998,040 ha/
The
Ecological Footprint of individuals and whole economies will vary depending on
income, prices, personal and prevailing social values as they affect consumer
behaviour, and technological superiority.
What can we do with
it?
Once the
data has been collected and the footprint has been calculated, it can be used
as both an indicator to show trends over time, to compare between countries,
regions, organisations, buildings and individuals. Data sets can also be used to model differing
scenarios and examine their impact on the footprint, an example, waste
management, local food production, sustainable transport measures, renewable
energy production…
It is
also a most valuable and effective visualising tool for educators and can be
used with everyone, children, young people and adults. It has the ability to create simple mental
images from complex statistics; it can be used to train decision makers to
think about the bigger picture.