Livestock Research for Rural Development 21 (5) 2009 | Guide for preparation of papers | LRRD News | Citation of this paper |
Range suitability and its grazing capability are the most important criteria in rangeland analysis and monitoring. Determination and monitoring of factors affecting on range suitability and diagnosis of them are important .All range ecosystem components affect range suitability. Which among them physical and vegetation factors, forage production, water resources and sensitivity to erosion were considered. The objective of this research was to determine range suitability of Ghareh Aghach rangelands to design a model for sheep grazing. Ghareh Aghach watershed with an area of 8,962 hectares located in the northeast of Isfahan province, in semi- arid of Iran, was chosen as a suitable study area for creating a model for classifying rangeland suitability. Simple models of topography, forage production, water resources (quantity, quality and distance), and erosion were integrated within a Geographic Information System so as to create a comprehensive final model for assessing the suitability of specific rangelands for sustainable sheep grazing.
The results of the completed overall model of rangeland suitability for sustainable sheep grazing showed that of the 7159 hectares in the study area, 15.73% (1,126 ha) were moderately suitable, 68.67% (4,916 ha) are marginally suitable and 15.6% (1116 ha) were classified as unsuitable for grazing. The most important limiting factors in the area were the abundance of invader plant species, especially around the watering points and villages, low range productivity, erosion, slope classes (relatively flat to steep gradients), access to quality water resources and low temperatures during winter and autumn.
Keywords: GIS, Ghareh Aghach rangeland, grazing, Iran, model, range suitability, sheep grazing capacity
Rangeland is an economically and culturally important component of the mountainous region of Iran, as it is elsewhere in the world. People have lived in and exploited these lands in a mostly sustainable fashion over many years. The ecosystems that typically constitute rangelands - grasslands, savannas, shrub lands and woodlands would have shaped early human development. Rangelands were first used by hunter-gatherer societies that relied on the natural environment for most, if not all, of their needs, this lifestyle prevailing for much of human history (Grice and Hodgkinson 2002). By around 11,000 years ago, isolated groups of rangeland people began to domesticate animals and plants to set up subsistence pastoral systems (Diamond 1998).
Managing vegetation and livestock to achieve a sustainable use of grazing lands has been the primary theme of rangeland management. While there is now increasing emphasis on uses and values of rangelands that are not directly dependent on grazing, the fact remains that grazing, be it by domestic animals or herbivorous wildlife, is an integral process in most arid rangelands (Quirk 2002).
Grazing will continue to be an important process in all rangelands, regardless of their primary use, and managing grazing will continue to preoccupy landholders and others interested in the sustainable and productive use of rangelands.
FAO (1991) reported that extensive grazing is the predominant form of land use on at least a quarter of the world’s land surface. It involves both domesticated animals such as cattle, sheep, goats, camel, horses and a broad range of wild animals kept for meat or game viewing. Giles (1984) describes rangelands as tracts of land used for grazing by domestic livestock or wildlife, where natural vegetation is the main forage resource. They may be used for ranching, as where animals graze on private land, or for three other systems of extensive grazing: nomadic pastoralist, transhumance or sedentary pastoralist.
Evaluation of extensive grazing systems, unlike that for cropping or forestry, must take into account both the production of grazing forage, termed primary production, and the livestock that feed on this forage, termed secondary production. Extensive grazing also differs from intensive grazing, in which the animal feed comes mainly from improved exotic pastures and not from unimproved rangeland.
Range suitability assessment is needed to facilitate the sustainable management planning of these renewable resources (Amiri 2008). Range suitability has mostly been considered in terms of the capacity of the land to support extensive grazing (Ibrahim 1975). It may also be defined as the adaptability of an area to grazing by livestock or game. In evaluating the land one must assess the consequences of applying each proposed land use as accurately as possible, so that only those that can be sustained without long-term degradation of the land may be considered for implementation when land suitability is determined (FAO 1991). All major land uses and land utilization types require certain environmental conditions, termed land use requirements, in order to be successfully practiced. Adequate forage in the dry season and access to stock watering points are examples of land use requirements for extensive grazing in the tropics (Arzani et al 2006).
As the main rangeland enterprise in
this study area was sheep grazing, a Geographic Information System (GIS)
model was created to determining the suitability of the rangeland for this
purpose. Nevertheless, many rangelands are capable of producing more than
one product (Stoddart et al 1975) which may form the basis of future
studies.
The research was carried out in Ghareh Aghach watershed with an area of 8962.25 hectares. Ghareh Aghach is located between 51° 34' 54" to 51° 45' 53" east longitude and 31° 03' 28" to 31° 26' 19" north latitude in the northeast of Semirom province of Iran, a semi-arid area in Zagros Mountain (Figure 1).
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Average annual precipitation is 358 mm (Figure 2).
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Ghareh Aghach’s rangelands contain 17 vegetation types including 12 shrub communities and 3 grassland communities (Table 1).
Table 1. Vegetation communities in Ghareh Aghach rangelands |
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Number |
Vegetation type |
Yield, kg/ha |
Area, ha |
1 |
Agropyron trichophoum |
381 |
123 |
2 |
Agropyron trichophoum-Astragalus. sp |
34.2 |
306 |
3 |
Agropyron trichophoum-Astragalus. sp-Daphne muacronata |
323 |
898 |
4 |
Astragalus adsendence-Agropyron trichophoum-Daphne muacronata |
295 |
386 |
5 |
Astragalus. sp-Agropyron trichophoum |
312 |
163 |
6 |
Astragalus. sp-Agropyron trichophoum-Daphne muacronata |
280 |
238 |
7 |
Astragalus. sp-Bromus tomentellus-Cousinia cylanderica |
234 |
2030 |
8 |
Astragalus. sp-Bromus tomentellus-Daphne muacronata |
281 |
116 |
9 |
Astragalus. sp-Cousinia cylanderica |
257 |
363 |
10 |
Astragalus. sp-Cousinia cylanderica-Daphne muacronata |
235 |
969 |
11 |
Astragalus. sp-Ferula ovina |
291 |
106 |
12 |
Bromus tomentellus-Astragalus. sp |
259 |
373 |
13 |
Cousinia bachtiarica-Astragalus. sp |
247 |
189 |
14 |
Cousinia bachtiarica-Scariola orientalis |
229 |
499 |
15 |
Festuca ovina-Bromus tomentellus -Astragalus. sp |
334 |
212 |
16 |
Hordeum violaceum-Poa bulbosa |
646 |
36..8 |
17 |
Bromus tomentellus-Scariola orientalis |
293 |
154 |
Source: Amiri 2008 |
Eighteen soil types were classified in 3 groups of Entisols, Inceptisols and Molisols as recognized by Anon (2007). Rangeland users comprise 35 families of Ghasghaei nomads (Amiri 2008). The maps or GIS layers used in this study were of vegetation, soil and land capability, property borders, water resources, location of villages, land use, geology and geomorphology.
Field data
The vegetation cover data used in this study were collected in frequent field visits at all vegetation type in 2007-08. The data were recorded in May and July 2007 and between May and July 2008. Rainfall in the study area was around average during these years (358.06 mm recorded at Semirom station in 2007 and 2008). Monthly rainfall during and immediately preceding the data collection periods was generally low, with some localised falls during January and May 2007 (Figure. 2).
The data field in each vegetation type was collected by stratified random sampling method. In each sampling unit, 10 plots were located randomly on perimeter of a supposed circle with about 20 meter radius and then percentage vegetation cover has been estimated on each plot. Then the average of 10 estimated cover has been considered for each sampling unit.
The method introduced by FAO (1993) for range suitability classification used ERDAS version 8.5 as GIS Software. The process included 9 steps (Figure 3);
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Land evaluation normally requires a comparison between the inputs required and the outputs obtained when each relevant land utilization type is applied to each land unit.
Two orders of range suitability for sheep grazing were considered: suitable (S) and not suitable (N). Three classes of suitability were determined including high suitable (S1), moderately suitable (S2), and marginally suitable (S3) (FAO 1991, 1993).
Simple models of forage production, water resources (quantity, quality and distance), and erosion were integrated to create final model of range suitability for sustainable sheep grazing (Figure 4) (Arzani and Yousefi 2006; Arzani et al 2006; Ayoubi 2006, Amiri 2008).
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Figure 4. Range suitability sub- model for sustainable sheep grazing |
For creating a sub-model of sensitivity to erosion, the Slope map (Figure 5)
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and EPM model were used to calculate erosion potential (Figure 6).
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Figure 6. EPM Model for Soil Erosion |
According to this model;
Z = Y.Xa (Ψ+I 0.5) (1)
where:
Z is the erosion severity
index,
Y is the sensitivity of soil and bedrock to erosion,
Xa is the land
use index,
Ψ is the erosion index of the watershed, and
I is the average
gradient of the slope.
Sensitivity to the erosion sub-model for each vegetation type was created by integrating range condition, land use, slope, erosion potential, soil characteristics, and geology. Sensitivity to erosion was then classified as shown in Table 2.
Table 2. Classes of sensitivity to erosion (Ahmadi 2004) |
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Number |
Range of Z |
Suitability classes |
1 |
< 0.2 |
S1 |
2 |
0.2-0.7 |
S2 |
3 |
0.7-1 |
S3 |
In order to create the forage sub-model, relevant information based on equation 2 was integrated for each vegetation type:
DLNN = GP + T + FQ (2)
Where:
DLNN = Daily Livestock Nutrition
Need,
GP = Grazing Period,
T = Topography, and
FQ = Forage Quality (Arzani and Yousefi 2006).
The daily requirement of a 50 kg sheep consuming quality forage was determined as 1.5 kg dry matter. Available forage (AF, kg/day) for livestock was calculated as:
AF = Σ(Y + (P/PUF)) (3)
Where:
Y= yield (kg/ha),
P = palatability, and
PUF = proper use factor (Zheng Gang et al 2006).
PUF was determined by combining information on range condition trend and erosion sensitivity (Badjian et al 2007).
Finally, the suitability of forage was classified by integrating the above information (Figure 7).
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The quantity and quality of the forage, accessibility of water and livestock information formed the basis of the water resource model (Figure 8).
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Layers within the GIS model included accessibility of water and slope, location of water in Samman units and distance to water were integrated. Demand for water was determined from grazing capacity and water requirement per animal (Ibrahimi 1999). Table 3 shows how different suitability classes are influenced by distance to water and classes representing the gradient of the slope. The completed water suitability model was created by combining the above sub-models (Javadi et al 2008).
Table 3. Water resource distance (meter) and its suitability classes |
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>60 |
30-60 |
10-30 |
0-10 |
Slope class, %Suitability class |
N |
0-1000 |
0-3000 |
0-3400 |
S1 |
N |
1000-3600 |
3000-4800 |
3400-5000 |
S2 |
N |
3600-4100 |
4800-6000 |
5000-6400 |
S3 |
N |
>4100 |
>6000 |
>6400 |
N |
Water quality was assessed from laboratory analysis of water in terms of TDS (Total Dissolved Salts), EC and CaCO3 (Table 4) for each water resource.
Table 4. Water quality for sheep and its suitable classes (Bagley et al 1997). |
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Suitability class |
S1 |
S2 |
S3 |
N |
TDS, mil/lit |
<3000 |
3000-6000 |
6000-10000 |
>10000 |
EC, mmohs/lit |
<3000 |
3000-5000 |
5000-7000 |
>7000 |
Caco3,me/lit |
<60 |
61-120 |
121-180 |
>180 |
The completed suitability model was created by combining the sub-models for producing the water suitability map for sheep grazing (Figure 9).
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The water needs of grazing sheep (w) are calculated by the following equation in this model:
Litres / kg 0.82/ day = w litres/ day (4)
where:
a= coefficient determined from the
local study,
w = water needs of each sheep according to body weight (King 1983).
(The mean weight body for Turkish Ghashghai sheep in this area is about 50 kg).
In Iranian rangelands the livestock only can use water in Samman unit.
Most parts of the study area were resistant to erosion (Table 5).
Table 5. Erosion classes of rangelands of Ghareh Aghach |
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Class of suitability |
Erosion index |
Vegetation type |
Number |
N |
1.42 |
Ag.tr |
1 |
N |
1.59 |
A.gtr-As.sp |
2 |
N |
1.69 |
Ag.tr-As.sp-Da.mu |
3 |
S3 |
0.87 |
As.ad-Ag.tr-Da.mu |
4 |
N |
1.50 |
As.sp-Ag.tr |
5 |
N |
1.87 |
As.sp-Ag.tr-Da.mu |
6 |
S2 |
0.59 |
As.sp-Br.to-Co.cyl |
7 |
S2 |
0.51 |
As.sp-Br.to-Da.mu |
8 |
S2 |
0.60 |
As.sp-Co.cyl |
9 |
N |
1.99 |
As.sp-Co.cyl-Da.mu |
10 |
S2 |
0.51 |
As.sp-Fe.ov |
11 |
S2 |
0.49 |
Br.to-As.sp |
12 |
S2 |
0.47 |
Co.ba-As.sp |
13 |
S2 |
0.48 |
Co.ba-Sc.or |
14 |
S2 |
0.54 |
Fe.ov-Br.to-As.sp |
15 |
S2 |
0.70 |
Ho.vi-Po.bu |
16 |
S2 |
0.60 |
Br.to-Sc.or |
17 |
The results of the erosion sub-model show that from 7,159 hectares of studied rangelands, 4,078 hectares (57.0%) were classified as S2 class (with low limitation), and 386 hectares were (5.4%) classified as S3 class, and 2,696 hectares (37.6%) were classified as unsuitable (N). No studied rangelands were classified as S1.
An assessment of the water resources showed that the most limiting factor of potable water in the mountainous areas is the gradient of land slope. However, according to the water resources (quantity, quality and distance) models the results show that water distance and accessibility to water are the most important factors for determining suitability. Quality and quantity were limiting factors in parts, but not all, of the study area. The results show that from 7,159 hectares of studied rangelands, 5,519 hectares (77.1%) classified as S1 class (with no limitation), 859 hectares (12.0%) classified as S2 class (with low limitation), and 478 hectares (6.7%) classified as N class (unsuitable) (Figure 10).
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The results of the forage production sub-model showed that, from 7,159 hectares of studied rangelands, 979 hectares (13.7%) classified as S2 class (with low limitation) the condition of the area has fair to good, with permanent and upward trend (vegetation types 1, 4, 8, 9, 16 , 17), and 5,211 hectares (72.8%) classified as S3 class, the area has fair to poor condition with permanent and downward trend (vegetation types 2, 3, 5, 6, 7, 10, 12, 13,14, 15), and 969 hectares (13.5%) classified as N class, the area has poor condition with downward trend, and no studied rangelands were classified as S1 class (Table 6 and Figure 11).
Table 6. Suitability based on forage production and available forage in Ghareh Aghach |
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Available forage suitability |
Available forage, kg/ha x100
Yield, Kg/ha |
Available forage, kg/ha | Yield, kg/ha |
Vegetation type |
Number |
S2 |
33.3 |
124.4 |
373.4 |
Ag.tr |
1 |
S3 |
29.7 |
91.96 |
310 |
A.gtr-As.sp |
2 |
S3 |
29.6 |
85.73 |
289.3 |
Ag.tr-As.sp-Da.mu |
3 |
S2 |
33.5 |
87.86 |
262 |
As.ad-Ag.tr-Da.mu |
4 |
S3 |
29.2 |
76.1 |
260.1 |
As.sp-Ag.tr |
5 |
S3 |
29.1 |
74.29 |
255.3 |
As.sp-Ag.tr-Da.mu |
6 |
S3 |
28.8 |
54.95 |
190.8 |
As.sp-Br.to-Co.cyl |
7 |
S2 |
33.2 |
89.7 |
264.6 |
As.sp-Br.to-Da.mu |
8 |
S3 |
28.1 |
57.87 |
206.2 |
As.sp-Co.cyl |
9 |
N |
19.9 |
37.6 |
188.4 |
As.sp-Co.cyl-Da.mu |
10 |
S2 |
32.2 |
91.52 |
283.8 |
As.sp-Fe.ov |
11 |
S3 |
29.2 |
72.1 |
248.8 |
Br.to-As.sp |
12 |
S3 |
28.6 |
58.53 |
204.2 |
Co.ba-As.sp |
13 |
S3 |
25 |
50.87 |
203.4 |
Co.ba-Sc.or |
14 |
S2 |
37.1 |
116.4 |
313.4 |
Fe.ov-Br.to-As.sp |
15 |
S2 |
34.4 |
209.05 |
607.5 |
Ho.vi-Po.bu |
16 |
S3 |
28.3 |
81.2 |
286.8 |
Br.to-Sc.or |
17 |
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Integrating the three sub-models that were used to assess the relative importance of erosion, water resources and forage as determinants of land suitability showed that 15.7% (1,126 ha) of Ghareh Aghach rangelands are in S2 suitability class and 68.7 and 15.6 percentages are in S3, N order respectively and no studied rangelands were classified as S1 class (Figure 12).
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The S1 class is level rangelands with no limitation from slope for sheep grazing. S2 and S3 are undulating and mountainous areas. The result of the Model-based categorization of land area (ha; %) into suitability classes. shows in table 7.
Table 7. Model-based categorization of land area (ha; %) into suitability classes |
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Sub-model |
S1 |
S2 |
S3 |
N |
Erosion |
0 |
4,078 (57.0%) |
386 (5.4%) |
2,696 (37.6%) |
Water Resources |
0 |
4,519 (77.1%) |
859 (12.0%) |
478 (6.7%) |
Forage production |
0 |
979 (13.7%) |
5,211 (72.8%) |
969 (13.5%) |
Integrated model |
0 |
1,126 (15.7%) |
4,918 (68.7%) |
1,116 (15.6%) |
Total land area in study = 7,159 ha |
The most important limiting factors in the area were the abundance of invader species especially around the watering points and villages, steep slope gradient classes, water resources and low temperature during winter and autumn. The GIS facilitated integration of the information layers within and between the models.
Although Iran is the second largest country in the Middle East, it has limited natural resources such as fertile soil and water, resulting in limited opportunities to expand and/or intensify arable farming (Sheidaei and Nemati 1978). Extensive animal husbandry, on the other hand, including nomadic, transhumant and sedentary forms, is widespread over the rangelands of the country.
Rangelands and animal husbandry have been of great importance in Iran for a very long time, as witnessed by the teachings of Zoroaster (Bavari 1980; Seraj 1970). More recently, many people have died in defence of their rangelands, even after land nationalization, when only the right of use was at stake (Farahpour and van Keulen 2004). The degree of importance attached to a specific rangeland area reflects its productivity, land scarcity and the availability of alternative sources of income. In Iran, as in other parts of the world, animal husbandry is the most productive use of the semi-arid zones bordering the desert (Reed and Bert 1995; Breman and De Wit 1983). As Niknam and Kyne (cited by Sheidaei and Nemati 1970) have calculated, 80 to 90 % of the livestock production of Iran, equal to 168,000 to 180,000 ton y -1 of meat (M.P.B 2006), is associated with the rangelands. Annual dry matter production of rangelands is estimated at more than ten million tons per hectare. In addition to forage production, mining, fuel wood collection, industrial use of rangeland by-production, e.g. medicinal plants and recreation are other rural enterprises in the rangelands of Iran (Farahpour 2002).
There are some limiting factors in each of the sub-models of erosion, water resources and forage production that affected rangeland suitability. Only a small area of the rangelands is unsuitable for forage production so that essentially all rangelands are suitable for grazing. The reasons are suitable climatic condition and utilization by those nomads that are in the area for part of the year. The only limitation to forage productivity was the presence of unpalatable and toxic plant species around the watering points and villages, in agreement with Jankjue (1996).
There was no limitation in terms of water quantity and quality in the area. All 24 water resources were in S1 classes. The only limitations for water were its accessibility to steep sloping areas, and sometimes the quantity of water in the highlands under drought conditions. Similar problems were reported by Jankjue (1996), Fashami (2002), and Arzani et al (2006) for the central area of Alborz in Iran.
Chemical and physical erosion were observed in some parts of the highlands in Ghareh Aghach. But most parts of the area were insensitive to erosion because of the underlying geology.
In the completed model the agricultural lands and urban areas were recognized as unsuitable for grazing. Most of these areas were classified as S2. So limited access to grazing land is not serious in the region. Poisonous plants were recognized as a limiting factor for sheep grazing by Curran and Grice (1992) who suggested that their impact could be reduced by grazing management. Rangeland managers should apply appropriate grazing systems to reduce the number of undesirable species within plant communities. This current study was focused on the suitability of rangeland for sheep, but as Holechek et al. (2003) has stated, significant income from rangelands can only be derived by selling products other than livestock. Further investigation therefore needs to be done to address the multiple use of rangelands in the study area.
Grazing is recognized as a valid use of rangeland ecosystems, and if undertaken in a planned and attentive manner based on range suitability, it can occur without range degradation.
Humans are now and have always been part of the ecosystem and are an instrument of ecological change. Healthy natural ecosystems reflect and create healthy human systems; we are only as healthy as the lands that sustain us. Healthy range condition is desirable from an environmental and economic-societal point of view. As Arzani et al (2001) reported, most land degradation has been observed in small properties that are not economically viable. So in addition to considering rangeland suitability, an assessment of economic viability requires that the ecological and social condition of each area should also be determined.
A GIS can provide better information and easier integration of various information layers to support a model for assessing rangeland suitability. We found a GIS to be particularly useful for providing greater flexibility and accuracy in assessing rangeland suitability (Banai 1989).
The authors are grateful to Dr David White of ASIT Consulting, Australia, for his suggestions and advice in the preparation of this paper.
Ahmadi H 2004 Applied Geomorphology (Volume 1, water erosion). Publication of the University of Tehran. pp. 688.
Amiri F 2008 Modeling multiple use of rangeland by using GIS. Ph.D thesis, Islamic Azad University Research and Science Branch, Tehran, Iran. 560 pp.
Anon 2007 Report of soil condition and vegetation change in Hanna Station, Isfahan, Iran.
Arzani H J, Farzadmehr and H Barani 2001 Evaluation of Environmental Effects of Settlement of Nomads in Bakan, Rangelands, Nomads Organization of Iran.
Ayoubi S 2006 Physical land evaluation for extensive grazing using GIS in a watershed of Khorasan Province, northeast Iran. Eighth International Conference on Development of Drylands. February 25-28. Beijing, China. pp. 32-33. ISBN: 4-88644-071-1.
Arzani H and S Yousefi 2006 A GIS model of range suitability assessment for sheep grazing (Case study Taleghan Region in Tehran Province). 8th International Conference on: Information Systems in Sustainable Agriculture, Agro-environment and Food Technology (HAICTA 2006), 20-23 September. Thessaly. 911-918 pp. ISBN: 960-89024-0-1.
Arzani H, Yousefi Sh, Jafari M and Farahpour M 2006 Production Range Suitability Map for Sheep Grazing Using GIS (case study : Taleghan Region in Tehran province). International Conference of Map Middle East, 26-29 March, Dubai, UAE. p. 25. from http://www.mapmiddleeast.org/2006/mme2006report.htm
Badjian G R, Ismail D, Othman M S and Mehrabi A A 2007 Effects of integrated components on available forage model in Southern rangeland of Iran. Livestock Research for Rural Development. Volume 19, Article #170. Retrieved November 1, 2008, from http://www.lrrd.org/lrrd19/11/badj19170.htm
Bagley C V, Amacher J K and Kitt F P 1997 Analysis of water Quality for livestock. Utah state Extension, Animal Helth Fact sheet, Utah State University, Logan UT 84322-5600. Electronic Publishing by Utah State University,Logan, Utah. (EP/DF/07-97), p.7.
Banai-Kashani R 1989 A new method for site suitability analysis: The analytic hierarchy process, Journal of Environmental Management, Vol. 13 (6). p. 685-693. ISSN: 0364-152X (Print) 1432-1009 (Online). DOI: 10.1007/BF01868308.
Bavari A R 1980 An introduction to Iranian traditional agriculture. Bongahe Tarjomeh va Nashre Ketab, Tehran, Iran, 125 pp. (La: Farsi).
Breman H and De Wit C T 1983 Rangeland productivity and exploitation in the Sahel. Science 221: 1341- 1343
Curran G and T Grice 1992 Poisoning caused by plants, in: Rangeland Management in Western New South Wales, edited by Ian Simpson, NSW Agriculture, PP. 102-113.
Diamond J 1998 Guns, Germs, and steel, Vintage, London.
FAO 1991 Guidelines: land evaluation for extensive grazing, soil resource management and conservation service. Soil Bulletin No. 58, Rome, Italy. ISBN: 92-5-103028-6. p. 158. http://www.fao.org.
FAO 1993 Guideline for land use planning. FAO Development Series, No: 1, FAO, Rome, 96 pp. http://www.fao.org/docrep/T0715E/T0715E00.htm
Farahpour M 2002 A Planning Support System for Rangeland Allocation in Iran. PhD Thesis Wageningen University. 186 pp.
Farahpour M and H Van Keulen 2004 A planning support system for rangeland and allocation in Iran with case study of Chadegan subregion. Rangeland Journal 26 (2): 225-236
Fashami M 2002 Investigation on range suitability of Lar rangelands using GIS, MSc. Thesis, Tarbiat Modares University.
Giles H 1984 Rangelads of the word, Unifying vegetation features. In: Siderius W (editor), Proceedings of the Workshop on Land Evaluation for Extensive Grazing, ILRI, Wageningen, PP. 17-27.
Grice A C and K C Hodgkinson 2002 Global Rangelands Progress and Prospects, CABI.
Holechek J L, Pieper R D and Herbal C H 2003 Range Management Principal and Practices, Third edition, Prentice Hall, New Jersey.
Ibrahim K 1975 Glossary of Terms Used in Pasture and Range Survey Research, Ecology and Management, Food and Agriculture Organization of the United Nations, Rome.
Jankjue M 1996 Determination of range suitability using GIS, MSc. Thesis, Tehran University.
Javadi S A, Arzani H, Salajegheh, A Farahpour M and Zahedi Amiri Gh A D 2008 A GIS model for determination of water resources suitability for camel grazing, Iranian Journal of Range and Desert Research 14 (4) 513-523 http://www.rifr-ac.ir/journals/range.aspx. Publisher: Institute of range and desert research ISSN: 1735-0875.
King J M 1983 Livestock water needs in pastoral Africa in relation to climate and forage, International Livestock Centre for Africa, Series: ILCA research report No.7. Pagination: ix, 95p. Published at: Addis Ababa, Ethiopia. LCCN: 84980497. http://www.ilri.org/publications/cdrom/integratedwater/IWMI/Documents/related_doucments/HTML/x5525e/x5525e00.htm
M P B (Ministry of Planning and Budgeting ) 1998 Iran’s statistical yearbook (March 2005 – March 2006). Ministry of Planning and Budgeting, Tehran, Iran. 804 pp.
Quirk M 2002 Managing grazing, in Global Rangelands progress and Prospects, Edited by A C Grice and K C Hodgkinson CABI.
Reed J D and Bert J 1995 The role of livestock in sustainable agriculture and natural resources management. In: J M Powell, S Fernَandes-Rivera, T O Williams and C Rَenard Livestock and sustainable nutrient cycling in mixed farming system of sub- Saharan Africa. Volume. II: Technical Papers, ILCA, Addis Ababa. pp. 461-470.
Seraj N 1970 Range management: plans and their problem. Proceedings of the Second Conference of Range Experts. Forest and Range Organization of Iran, Tehran, Iran. Pp. 124-127 (La: Farsi).
Sheidaei G and Nemati N 1970 Some information about Iran’s rangelands. Forest and Range Organization of Iran, Tehran, Iran. 43 pp. (La: Farsi).
Sheidaei G and Nemati N 1978 Modern range management and forage production in Iran. Forest and Range Organization of Iran, Tehran, Iran. 290 pp. (La: Farsi).
Stoddart L A, Smith A D and Box T W 1975 Range Management 3rd edition, McGraw-Hill Book Company, New York. ISBN: 0070615969.
Zheng G G, Tian G L, Xing Y L and Fu J N 2006 A new approach to grassland management for the arid Aletai region in Northern China. The Rangeland Journal 28: 97-104
Received 8 November 2008; Accepted 16 December 2008; Published 1 May 2009