74
The EF_crops of the wilaya of Algiers is 0.8 million gha. The latter follows the same trend as
Tipaza, with few exceptions. The products: oranges, cauliflowers, peaches, grapes, green
cabbage, apples, green beans, turnips, potatoes, carrots, green beans, lemons, and
clementines represent 90% of the EF of the wilaya. For both wilayas, some products have a
high national yield exceeding the average annual world yield, such as chili peppers, eggplants,
and pears, which could be justified by the availability of varieties of some products that are
not available worldwide.
For the same component (material), the EF was calculated for livestock products EF_pasture.
In this case, despite data describing the tonnage of the products (e.g., red meat, milk, honey),
the associated data (e.g., livestock average daily feed, market supply) is unavailable.
Therefore, EF-pasture estimates are based on livestock statistics by the head (cattle, sheep,
goats, and horses) using the calculation matrix provided by the GFN (2014). Accordingly, the
detailed calculation is detailed in (Appendix 2). The associated EF_pasture accounts for less
than 1 to 2% of the total EF_Total_Food of both wilayas. The wilaya of Tipaza's EF_pasture is
almost twice that of Algiers due to the highest number of sheep and goats (Appendix 2). This
also related low EF associated with farm animals, such as the "poultry" category, compared to
the "cattle" category, which holds more than 60% of the EF-pasture.
The EF_c is twice as important in Tipaza. The latter includes the embodied energy resulting
from the use of fertilizers for cropping and the operational energy in terms of fuel
consumption by type of harvest. The embodied energy is associated with more than 2 900 gha
in the wilaya of Algiers and twice as much in Tipaza (5 906.51 gha). This finding is related to
the high crop production in the wilaya of Tipaza and the larger production areas.
In comparison, the EF of the operational energy of the two wilayas is of the same order,
ranging from 11 to 15 thousand gha. This result is not plausible, as the wilaya of Tipaza has
more than 7 000 operational agricultural machines, which is expected to result in
systematically higher energy consumption associated with a higher EF_c. However, the
estimate of CO2 emissions and EF_c is based on a simulation of fuel consumption as a function
of cropping land surfaces. The latter is extracted from the Ministry of energy's report on
agricultural activity's share of the total energy use. Indeed, this could be irrelevant to assessing
agricultural activities' impact and does not provide adequate information to identify which
crop is the most energy-intensive.
The EF_ built in the wilaya of Tipaza is six times more important. This may reflect the number
of infrastructure in the wilaya of Tipaza or the availability of statistics describing these
infrastructures. Furthermore, the estimate of physical surfaces only accounts for the cooling
storage facilities of the two wilayas and the storage silos of the wilaya of Tipaza, which may
lead to an underestimation of the built EF.
4.2.3. Forest sector
The estimation of the EF of forestry is limited to assessing the demand for forest area to
produce forest products (timber, wood). The conversion figures used to convert a quantity of
forest product to equivalent EF are YF=1.82 m3/ha for charcoal and construction wood and
The EF_crops of the wilaya of Algiers is 0.8 million gha. The latter follows the same trend as
Tipaza, with few exceptions. The products: oranges, cauliflowers, peaches, grapes, green
cabbage, apples, green beans, turnips, potatoes, carrots, green beans, lemons, and
clementines represent 90% of the EF of the wilaya. For both wilayas, some products have a
high national yield exceeding the average annual world yield, such as chili peppers, eggplants,
and pears, which could be justified by the availability of varieties of some products that are
not available worldwide.
For the same component (material), the EF was calculated for livestock products EF_pasture.
In this case, despite data describing the tonnage of the products (e.g., red meat, milk, honey),
the associated data (e.g., livestock average daily feed, market supply) is unavailable.
Therefore, EF-pasture estimates are based on livestock statistics by the head (cattle, sheep,
goats, and horses) using the calculation matrix provided by the GFN (2014). Accordingly, the
detailed calculation is detailed in (Appendix 2). The associated EF_pasture accounts for less
than 1 to 2% of the total EF_Total_Food of both wilayas. The wilaya of Tipaza's EF_pasture is
almost twice that of Algiers due to the highest number of sheep and goats (Appendix 2). This
also related low EF associated with farm animals, such as the "poultry" category, compared to
the "cattle" category, which holds more than 60% of the EF-pasture.
The EF_c is twice as important in Tipaza. The latter includes the embodied energy resulting
from the use of fertilizers for cropping and the operational energy in terms of fuel
consumption by type of harvest. The embodied energy is associated with more than 2 900 gha
in the wilaya of Algiers and twice as much in Tipaza (5 906.51 gha). This finding is related to
the high crop production in the wilaya of Tipaza and the larger production areas.
In comparison, the EF of the operational energy of the two wilayas is of the same order,
ranging from 11 to 15 thousand gha. This result is not plausible, as the wilaya of Tipaza has
more than 7 000 operational agricultural machines, which is expected to result in
systematically higher energy consumption associated with a higher EF_c. However, the
estimate of CO2 emissions and EF_c is based on a simulation of fuel consumption as a function
of cropping land surfaces. The latter is extracted from the Ministry of energy's report on
agricultural activity's share of the total energy use. Indeed, this could be irrelevant to assessing
agricultural activities' impact and does not provide adequate information to identify which
crop is the most energy-intensive.
The EF_ built in the wilaya of Tipaza is six times more important. This may reflect the number
of infrastructure in the wilaya of Tipaza or the availability of statistics describing these
infrastructures. Furthermore, the estimate of physical surfaces only accounts for the cooling
storage facilities of the two wilayas and the storage silos of the wilaya of Tipaza, which may
lead to an underestimation of the built EF.
4.2.3. Forest sector
The estimation of the EF of forestry is limited to assessing the demand for forest area to
produce forest products (timber, wood). The conversion figures used to convert a quantity of
forest product to equivalent EF are YF=1.82 m3/ha for charcoal and construction wood and