Manuscript accepted on : 19 August 2016
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Anthropic Impact on Soil of the Chamaeropaie in Tlemcen Region (Western Algeria)
Brahimi Naima1 and Hasnaoui Okkacha1,2
1Laboratory of Ecology and management of natural ecosystems . University of Tlemcen , Algeria - Tlemcen.
2Faculty of Sciences -Department of Biology . University Dr Tahar Mouley- Saida.
Corresponding Author E-mail: brahiminaima26@yahoo.fr
DOI : http://dx.doi.org/10.13005/bbra/2281
ABSTRACT: Powerful environmental agent, man alters ecosystems and environments. Since the Neolithic he went through domestication, artificialization of the soil, construction of terraces on slopes, urbanization and overgrazing. The intervention of man and his cattle impacted unevenly media components of the environment but the most visible elements are biotic and among them the soil. This study reveals the extent of this intervention by the disturbance of the soil (compaction, erosion). The determination of the packed soils surface (in m2 ) and their weight (in kg) is based on using the profile method which consists in metric measurements on 10 points located in a path created by man and his flock on a distance of 100 m. The interpretation of results by the Anova 1 and the PCA has clarified the affinities that exist between, on one hand, the compacted soils of the different stations, and, on the other hand to highlight the anthropozoogenic impact on the soil of Chamaeropaie.
KEYWORDS: Chamaeropaie; Compaction; Anthropic Action; Statistical Study; Tlemcen Mounts
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Introduction
Throughout its history, an ecological system undergoes a variety of disturbances at different spatial and temporal scales. This set, called “disturbance regime,” is characterized by the nature of phenomena (fire, grazing, plowing, etc.), their spatiotemporal frequencies, their intensity and their respective sizes [1]. Each component of the disturbance regime behaves in a clearly manner on communities and populations. The disturbance effect can also vary according to their dates of occurrence, their location, their predictability, and also to the local and regional disturbances history [2] [3].
Grazing, although ancestral, occurs with a frequency and an intensity which varies throughout the year, and between successive years. Thus, the vegetation does not suffer all the time the same pressures, it is than unpredictable and it affects the structure of plant communities, causing their partial destruction (reduction of biomass). When grazing pressure becomes too great and the harvesting of resources exceeds their renewal, grazing becomes harmful [4].
For rangelands, the surface conditions affected by grazing [5]-[9]. The physical effects of the grazing animal’s hooves can cause loss or mechanical damage to the vegetation and changes to the soil surface condition [10]-[12]. The hoof, of the animal in movement, exerts forces on the soil surface in three directions: a vertical component of the top-down (weight), a sagittal component from front to rear (propulsion) or conversely (braking) and a lateral component of the body towards the outside (balance). The amplitudes of these forces vary according to members, front or rear, and the nature of the movement (walking, trotting or cantering) [13]. This shows that an animal in motion can have two simultaneous actions on the soil: surface compaction and erosion of soil.
Several results are available throughout the world and show that the impact of grazing on the soil surface condition varies depending on the ecosystem characteristics (soil, climate, vegetation) and the type, intensity, timing and duration of grazing. In particular, the importance of the effects of trampling on the soil varies depending on animal charge [14], [15], soil type (texture, organic matter content and moisture) [16] [17], seasonal weather conditions [18] and the vegetation type [19] [6].
The works of Hasnaoui [20], Benabadji et al. [21], Merzouk [22] and Hachemi [23] show the impact of grazing on scrublands and steppes of Tlemcen region. The ecosystem of the west Algerian part undergoes an important stocking, and that is causing the soil structure disturbance.
Overgrazing from inappropriate management of pastoralism, mainly sheep and goat, upsets the fragility and potential of the natural resources. Grazing leads to soil compaction and erosion of its upper horizons.
The soils are mostly made up of little evolved soils, their surface particles are easily destabilized; they move on short distance and accumulate creating an effect of arenization.
Overgrazing also causes the plant cover loss and the floral heritage erosion and causes the loss of characteristic species perfectly adapted to the ecological factors by the transformation of the facies.
The Tlemcen scrublands region consists mainly of Chamaerops humilis (C.h), Calycotome intermedia, Asparagus acutifolius, etc. These ecosystems are used by farmers as grazing land. According to Hasnaoui [20], (C.h) dominated ecosystems are called Chamaeropaie; and they are generally rangelands.
This research aims to identify the effect that can cause livestock on soil structure of the west Algerian scrublands. This work, in which we are the forerunners, will help us identify the solutions to take for a sustainable development.
To approach the impact of the pastoral charge in the ecosystem dynamics is of great importance. In order to deepen the knowledge on the Chamaeropaie behavior, in view of anthropogenic pressures and to provide elements for solutions that help conserve natural resources, we conducted in-situ measurements on the behavior of soil undergoing the often too strong herd charge.
Anthropogenic impacts, related to the overgrazing, are shown by the trampling of the herbaceous layer, compaction and soil erosion. The latter can appear with the departure of soil fines due to the crumbling of the soil surface structure by the animals’ hooves.
The main objective of this study was to quantify soil compaction after pressures of anthropogenic order primarily related to pastoral overloads. To determine the impact of livestock on the soil behavior, sites parameters were measured and statistically processed.
Materials and methods
Geographical location and description of the study stations
The study focused on quantifying the soils compacted by animals. Field measurements were performed in December 2015.
Six Chamaeropaies locations were selected for this work (Table 1). They are characterized by an altitude ranging between 710m and 1180m, vegetation composed mainly of (C.h), Juniperus oxycedrus, Stipa tenacissima, Calycotome intermedia, Amepelodesma mauritanica, Thymus ciliatus, Asparagus acutifolius, Urginea maritima, Asphodelus microcarpus, and a mediterranean climate.
They are usually covered by a large herd consisting of cattle, sheep and goats (Table 2).
Table 1: Location of study sites (Wilaya of Tlemcen).
Location | City/County | Latitude | Longitude | Altitude (m) | Bioclimatic level | Main species | Slope |
FRAWNA | Terny | 34°47’N | 01°24’W | 1180 | Semi -arid | (C.h) , Ampelodesma mauritanica, Ammoïdes verticillata, Calycotome intermedia | 10% |
MAFROUCH | Mansourah | 34°50’N | 01°17’W | 1170 | Semi -arid | (C.h) , Quercus ilex, Juniperus oxycedrus, Ammoïdes verticillata | 12% |
BOUDJMIL | Beni Mester | 34°52’N | 01°23’W | 820 | Semi -arid | (C.h) , Calycotome intermedia, Olea europea | 10% |
OUCHBA | Chetouane | 34°53’N | 01° 15’W | 710 | Semi -arid | (C.h) , Lavandula stoechas, Thymus ciliatus Urginea maritima, Asphodelus microcarpus, Calycotome intermedia | 15% |
AIN FEZZA | Aïn Fezza | 34°52’N | 01°14’W | 860 | Semi -arid | (C.h) , Ampelodesma mauritanica, Asparagus acutifolius, Ceratonia silica, Thymus ciliatus | 25% |
OUED LAKHDAR | Oued Lahkdar | 34°52’N | 01°07’W | 750 | Semi -arid | (C.h) , Juniperus oxycedrus, Stipa tenacissima, Calycotome intermedia,Olea europea,Ampelodesma mauritanica | 25% |
Table 2: Livestock (heads) in the studied stations.
Station | Sheep | Cattle | Goats |
FRAWNA | 720 | 380 | 240 |
MAFROUCH | 926 | 175 | 310 |
BOUDJMIL | 409 | 350 | 83 |
OUCHBA | 500-700 | 150 | 60 |
AIN FEZZA | 5000 | 250 | 100 |
OUED LAKHDAR | 4500 | 380 | 488 |
Source: Farm Subdivision, 2015.
Quantification of soil compacted
To determine the occurred soil changes, we follow an experimental protocol based on the profile method. The latter is to draw on the ground, using a marker, the limit of the path created by the herds in which we have a100 m length and on which we took 10 measurements (10 m spaced).
Parameters measured (photo.1):
– Major basebetween two points of the line (in m)
– Minor Base between two points (in m)
– Height compaction (in m)
Figure 1: Soil compacted and naked between two clumps of (C.h)
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Statistical Study
It is based on Anova 1 and PCA methods. With Anova 1, the objective was to see the station effects on different measurements used and PCA enabled us to identify the relationship between observed parameters and to enhance the anthropozoogenic impact on the soil of Chamaeropaie.
Results and interpretations
The results obtained are shown in Tables 4, 5, 6, 7, 8 and 9. The processing of the results by Anova 1 with one factor using XLSTAT 2014 shows that the p-values for all the variables measured are lower than the threshold α = 0.05 (PB = 0.0230; Pb = 0.0010; PH = 0.0393; PS = 0.0237; PMV = 0.0237). These results significantly reject the equality of means. We can say than that the station is of a significant effect on the variability of different parameters from one site to another.
In table 3 we have the Pearson correlations matrix. The latter shows the linear correlations of the variables taken two by two. We note that some correlations are very strong (r = 0.7171 (S / H and Mv / H) r = 0.9210 (B / b) and r = 1.0000 (Mv / S)), others are of average (r = 0.5659 (S / B and Mv / B) and r = -0.5150 (b / H)) and others rather low (r = 0.2201 (Mv / b) and r = -0.1463 (H / B)).
Table 3: Pearson correlations matrix.
Variables | B | b | H | S | Mv |
B | 1 | 0,9210 | -0,1463 | 0,5659 | 0,5659 |
b | 0,9210 | 1 | -0,5150 | 0,2201 | 0,2201 |
H | -0,1463 | -0,5150 | 1 | 0,7171 | 0,7171 |
S | 0,5659 | 0,2201 | 0,7171 | 1 | 1,0000 |
Mv | 0,5659 | 0,2201 | 0,7171 | 1,0000 | 1 |
* (S): compacted soil area *(Mv): compacted soil density
The average projection of the variables (B, b, H, S, Mv) in the correlation circle (Fig.2) shows the superposition of two variables S and Mv (strong correlation) and they are best represented in the axis1.
Figure 2: Variables projection in the correlation circle
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The most distant points from the center are those which project the best in the factorial plane (Fig. 3). Note that the 1 axis between the two stations SA (Aïn Fezza) and SB (Boudjmil), is explained by the fact that SA station is the largest in the area from the point of view of compacted soil area (SSA = 0.0784 m2) and of the compacted soil density (MvSA = 141.12 Kg/linear meter (ml). According to the average of the surface and the density of the compacted soil, we can classify the stations in the following order: SA˃ SOL˃SF˃ SM˃SO˃SB.
Figure 3: Stations projection plane in the factorial 1-2 axes system
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This difference between the study stations probably amounts to the lack of balance in the actual load herds (Table 2), taking into account the slope change from a station to another. It thus appears that the more the slope is significant (25%) the more compaction is important.
Figure 4: Variables projection in the correlation circle
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Herd composition shows a predominance of sheep, they occupy about 73% of the total. These results corroborate those of Benabadji et al. [21].These authors add that the investigation and field observations indicate a significant impact of grazing on soil. During the winter season, the passage of herds necessarily leads to a superficial soil compaction, the scale can vary according to the proportion of fines, in particular clays.
The gregarious behavior of these domestic animals (sheep, cattle and goats) increases the importance of levies on the herbaceous layer they use (overgrazing). This behavior increases the effects of trampling which devastate the vegetation. In addition to the intense grazing, the consecutive trampling due to the passage of an excessive number of animals bares the soil along the herds moving tracks. Similarly, Marion [24] reported that a high stress can limit the number of plant species while leading to a diversification of strategies to face this constraint.
The projected 60 observations are shown in Figure 5. We see that the first line F1 returns 62.24% of the inertia and the second axis F2 34.29%; with these two we than have 96.53% of the information, that is almost all.
Figure 5: Projection plane of observations in the factorial 1-2 axes system
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Note that two groups (1 and 2) are the best represented in the axis 1. The group 1 (Obs: 1, 5, 21, 22, 30 and 48) on the right, this is the only group with the most important values in surface (m2) and density (kg/ml) of compacted soil (tables 4, 6and8). The variables S and Mv have a strong contribution to the similarity of observations (1, 5, 21, 22, 30 and 48). We deduce that this group represents compacted soils by cattle trampling, resulting in a more abundant runoff and significant erosion. On the left, group 2 (Obs: 3, 7, 9, 10, 13, 52, 54 and 56) is better represented on the negative side of the axis 1, since it has the lowest values in S and Mv of the compacted soil (tables 4, 5 and 9) and these two variables also contribute greatly in the similarity of these observations.
Table 4: Différent parameters values – FRAWNA station
Station | FRAWNA (SF) | |||||
Profile | Altitude | B (m) | b (m) | H (m) | S (m2) | Mv(Kg/ml) |
Obs1 | 1186 | 2,1 | 1,13 | 0,083 | 0,134 | 241,2 |
Obs 2 | 1185 | 1,11 | 0,55 | 0,123 | 0,102 | 183,6 |
Obs 3 | 1185 | 0,76 | 0,28 | 0,03 | 0,015 | 27 |
Obs 4 | 1186 | 1,12 | 0,52 | 0,1 | 0,068 | 122,4 |
Obs 5 | 1185 | 2,38 | 1,1 | 0,063 | 0,109 | 196,2 |
Obs 6 | 1182 | 0,83 | 0,25 | 0,1 | 0,054 | 97,2 |
Obs 7 | 1183 | 0,8 | 0,7 | 0,005 | 0,003 | 5,4 |
Obs 8 | 1184 | 1,74 | 0,83 | 0,03 | 0,038 | 68,4 |
Obs 9 | 1182 | 1,35 | 1,02 | 0,01 | 0,011 | 19,8 |
Obs 10 | 1190 | 0,6 | 0,49 | 0,015 | 0,008 | 14,4 |
Mean | 1184,8 | 1,279 | 0,687 | 0,056 | 0,054 | 97,56 |
Table 5: Différent parameters values – MAFROUCH station
Station | MAFROUCH (SM) | |||||
Profile | Altitude | B (m) | b (m) | H (m) | S (m2) | Mv(Kg/ml) |
Obs 11 | 1150 | 1,52 | 0,57 | 0,073 | 0,076 | 136,8 |
Obs 12 | 1149 | 1,55 | 0,82 | 0,04 | 0,047 | 84,6 |
Obs 13 | 1149 | 0,8 | 0,65 | 0,005 | 0,003 | 5,4 |
Obs 14 | 1152 | 1,25 | 0,95 | 0,065 | 0,071 | 127,8 |
Obs 15 | 1152 | 1,13 | 0,57 | 0,075 | 0,063 | 113,4 |
Obs 16 | 1154 | 1,9 | 1,56 | 0,01 | 0,017 | 30,6 |
Obs 17 | 1151 | 1,08 | 0,78 | 0,04 | 0,037 | 66,6 |
Obs 18 | 1153 | 1,11 | 0,93 | 0,06 | 0,061 | 109,8 |
Obs 19 | 1153 | 1,95 | 1,1 | 0,015 | 0,022 | 39,6 |
Obs 20 | 1156 | 1,4 | 0,91 | 0,04 | 0,046 | 82,8 |
Mean | 1191,9 | 1,369 | 0,884 | 0,042 | 0,044 | 79,74 |
Table 6: Différent parameters values – AIN FEZZA station
Station | AIN FEZZA (SA) | |||||
Profile | Altitude | B (m) | b (m) | H (m) | S (m2) | Mv(Kg/ml) |
Obs 21 | 846 | 2,46 | 1,56 | 0,075 | 0,15 | 270 |
Obs 22 | 840.5 | 2,06 | 1,16 | 0,075 | 0,12 | 216 |
Obs 23 | 837.5 | 0,79 | 0,66 | 0,035 | 0,025 | 45 |
Obs 24 | 834.5 | 1,62 | 1,17 | 0,025 | 0,034 | 61,2 |
Obs 25 | 833.2 | 1,82 | 1,25 | 0,065 | 0,099 | 178,2 |
Obs 26 | 834.5 | 1,97 | 1,46 | 0,03 | 0,051 | 91,8 |
Obs 27 | 834.7 | 2,65 | 1,77 | 0,05 | 0,11 | 198 |
Obs 28 | 836.3 | 1,15 | 0,62 | 0,025 | 0,022 | 39,6 |
Obs 29 | 836.3 | 2,33 | 2,13 | 0,02 | 0,044 | 79,2 |
Obs 30 | 839.6 | 2,1 | 1,6 | 0,07 | 0,129 | 232,2 |
Mean | 837 | 1,895 | 1,338 | 0,047 | 0,078 | 141,1 |
Observation 2 is best represented in the axis 2. It presents the most important value in minor base (b = 2.13m) compared to the other two stations (Frawna and Oued Lakhdar).
The statistical processing shows that the action of some herds is obvious in the various stations. Once the vegetation cover degraded, biomass reduces and the litter disappears in passing herds, runoff on these tracks leads to erosion rill, compaction and stripping of the topsoil between the shrubs clumps and chamaephytes.
Table 7: Différent parameters values – OUCHBA station
Station | OUCHBA (SO) | |||||
Profile | Altitude | B (m) | b (m) | H (m) | S (m2) | Mv(Kg/ml) |
Obs 31 | 710 | 1,2 | 0,95 | 0,033 | 0,035 | 63 |
Obs32 | 710.5 | 1,83 | 1,09 | 0,02 | 0,029 | 52,2 |
Obs 33 | 710.2 | 0,97 | 0,65 | 0,025 | 0,02 | 36 |
Obs 34 | 708 | 2,1 | 1,8 | 0,035 | 0,068 | 122,4 |
Obs 35 | 706.5 | 1,92 | 1,45 | 0,015 | 0,025 | 45 |
Obs 36 | 708.1 | 1,02 | 0,92 | 0,005 | 0,004 | 7,2 |
Obs 37 | 710 | 2,12 | 1,95 | 0,03 | 0,061 | 109,8 |
Obs 38 | 707 | 1,52 | 1,12 | 0,015 | 0,019 | 34,2 |
Obs 39 | 707.5 | 1,57 | 0,87 | 0,045 | 0,054 | 97,2 |
Obs 40 | 708.1 | 2,13 | 1,85 | 0,01 | 0,019 | 34,2 |
Mean | 708 | 1,638 | 1,265 | 0,023 | 0,033 | 60,12 |
Table 8: Différent parameters values – OUED LAKHDAR station
Station | OUED LAKHDAR (SOL) | |||||
Profile | Altitude | B (m) | b (m) | H (m) | S (m2) | Mv(Kg/ml) |
Obs 41 | 755.1 | 1,45 | 0,9 | 0,06 | 0,07 | 126 |
Obs 42 | 752.7 | 1,22 | 0,62 | 0,025 | 0,023 | 41,4 |
Obs 43 | 752.3 | 2,37 | 1,52 | 0,045 | 0,087 | 156,6 |
Obs 44 | 751.9 | 1,46 | 0,88 | 0,05 | 0,058 | 104,4 |
Obs 45 | 753.9 | 0,93 | 0,43 | 0,05 | 0,034 | 61,2 |
Obs 46 | 755.1 | 1,26 | 0,66 | 0,055 | 0,052 | 93,6 |
Obs 47 | 752.9 | 0,94 | 0,52 | 0,045 | 0,032 | 57,6 |
Obs 48 | 745.8 | 1,82 | 1,12 | 0,075 | 0,11 | 198 |
Obs 49 | 749.6 | 1,17 | 0,77 | 0,06 | 0,058 | 104,4 |
Obs 50 | 757.3 | 0,84 | 0,47 | 0,075 | 0,049 | 88,2 |
Mean | 752 | 1,346 | 0,789 | 0,054 | 0,057 | 103,1 |
According to Gunnell [25], the stress to which plants are subjected by overgrazing is linked to consuming prior to grains; some Poaceae species deteriorate in favor of short-cycle species, causing a biological impoverishment and loss of biodiversity.
Table 9: Différent parameters values – BOUDJMIL station
Station | BOUDJMIL (SB) | |||||
Profile | Altitude | B (m) | b (m) | H (m) | S (m2) | Mv(Kg/ml) |
Obs 51 | 808.3 | 0,95 | 0,43 | 0,07 | 0,048 | 86,4 |
Obs 52 | 807.2 | 0,8 | 0,52 | 0,005 | 0,003 | 5,4 |
Obs 53 | 806.8 | 1,08 | 0,6 | 0,05 | 0,042 | 75,6 |
Obs 54 | 807.3 | 1,2 | 1,05 | 0,003 | 0,003 | 5,4 |
Obs 55 | 808.6 | 1,55 | 0,92 | 0,045 | 0,055 | 99 |
Obs 56 | 807.2 | 1,3 | 1,02 | 0,005 | 0,005 | 9 |
Obs 57 | 804.5 | 1,07 | 0,95 | 0,015 | 0,015 | 27 |
Obs 58 | 804 | 1,95 | 1,68 | 0,015 | 0,027 | 48,6 |
Obs 59 | 805.5 | 1,25 | 0,85 | 0,05 | 0,052 | 93,6 |
Obs 60 | 807.5 | 1,2 | 0,87 | 0,045 | 0,046 | 82,8 |
Mean | 806 | 1,235 | 0,889 | 0,03 | 0,03 | 53,28 |
When land degradation is driven by overgrazing, there are only dwarf palms (C.h), cistus, thorny, broom and various non-palatable grasses. Sabir and Roose [26] consider that if scrublands are dense and closed for protection, they protect the soil against rainfall energy almost as well as the forest.
Conclusion
The repeated passage of herds exposes the soil to compaction phenomenon. This phenomenon has been studied by several measurements to determine the surface and the density of anthropized soils (compacted). The use of statistical tests (ANOVA 1, PCA) showed highly significant correlations between the surface and the density of the soil compacted (r = 1.000).
The more the surface of compacted soil increases, more the density of the compacted soil increases and only these two parameters have a significant contribution in the explanation of the phenomenon of compaction from one station to the other according to the correlation circle.
From this we have three groups:
1- Soil with high exposure to the phenomenon of compaction; it is the case in Aïn Fezza station.
2- Soil moderately exposed to the phenomenon of compaction; it is the case of Oued Lakhdar, Frawna, Mafrouch and Ouchba stations.
3- Soil with low exposure to the phenomenon of compaction and shown only by the Boudjmil station.
This difference is explained by the uneven loads of herds in the studied stations.
In this situation of soil compaction, water infiltration capacity is reduced which increases runoff during rainfalls. Unfortunately, the vegetation potential is constantly threatened by erosion which impact is even stronger than the soils are sloping and are not stabilized by vegetation, which, less supplied with water, becomes sparse then disappears; and then, flora is impoverished, the biomass production decreases.
A solution to this environmental degradation is a sustainable pastoralism based on a Chamaeropaie regulation course.
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