SciELO - Scientific Electronic Library Online

 
vol.10 número4Óptimos técnicos para la producción de leche y carne en el sistema bovino de doble propósito del trópico mexicanoInfluencia de los valores humanos en el consumo de quesos tradicionales chiapanecos: una comparación de las rutas directa e indirecta índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay artículos similaresSimilares en SciELO

Compartir


Revista mexicana de ciencias pecuarias

versión On-line ISSN 2448-6698versión impresa ISSN 2007-1124

Rev. mex. de cienc. pecuarias vol.10 no.4 Mérida oct./dic. 2019  Epub 30-Abr-2020

https://doi.org/10.22319/rmcp.v10i4.4470 

Articles

Productive and socioeconomic characterization of a sheep production system in a natural protected area in Mexico

Daniel Hernández Valenzuelaa 

Ernesto Sánchez Verab  * 

William Gómez Demetriob 

Carlos Galdino Martínez Garcíab 

a Universidad Autónoma de Guerrero, Facultad de Ciencias Agropecuarias y Ambientales, Guerrero, México.

b Universidad Autónoma del Estado México, Instituto de Ciencias Agropecuarias y Rurales, Estado de México, México. Campus “El Cerrillo Piedras Blancas”, 50090, Toluca, Estado de México. México.


Abstract

Natural protected areas experience pressure from increased human presence and productive activities. Agricultural, socioeconomic and grazing resource use data were used to characterize a sheep production system in the Nevado de Toluca Flora and Fauna Protection Area, Mexico. Based on sheep producer (n= 162) interviews, 25 variables were analyzed with multivariate and univariate statistics. A principal components analysis identified six factors explaining 71 % of variance. A cluster analysis identified three groups of producers [small (28 %), intermediate (35 %) and capitalized (6%)] differentiated by the number of animals, cultivated area and income (P<0.05). Overall, lamb mortality was generally high (23 %), forage oats (Avena sativa) were planted on 50 % of cultivated area, and maize (Zea mays) on variable percentages. Head of household age and schooling did not differ between groups (P>0.05), and sheep were found to contribute less than 30 % to household income. Rotational grazing in the forest was used by 58 % of producers, but 60 % used a semi-stabling approach. The Nevada de Toluca sheep production system does not depend on producer capitalization, but sheep are essential to the family economy. Management practices are compatible with conservation efforts in the natural protected area.

Key words Small ruminants; rotational grazing; Nevado de Toluca; Natural resources; Silvopastoral systems

Resumen

Ante el incremento de la presencia humana y sus actividades productivas en áreas naturales protegidas, se planteó el objetivo de caracterizar el sistema de producción ovina, en el Nevado de Toluca, con información agrícola, socioeconómica y uso de los recursos de pastoreo. Un total de 162 productores fueron entrevistados, se analizaron 25 variables con estadística multivariada y univariada. Mediante análisis de componentes principales se obtuvieron seis factores que explican el 71 % de la varianza. El análisis cluster permitió identificar tres grupos de productores: pequeños (28 %), intermedios (35 %) y capitalizados (6 %), diferenciados por el número de animales, superficie cultivada e ingresos (P<0.05). En el sistema de producción, se observó alta mortalidad de corderos (23 %), la siembra de avena (Avena sativa) en el 50 % de la superficie y un porcentaje variable de superficie, sembrada de maíz (Zea mays). La edad y escolaridad fueron similares entre grupos (P>0.05) y se encontró que los rebaños aportan menos del 30 % del ingreso familiar. El 58 % de los rebaños ingresa al bosque, para realizar pastoreo circulante, pero el 60 % se maneja semi-estabulado. Se concluye que la producción del sistema no depende de la capitalización del productor, pero el rebaño es esencial en la economía familiar, y el manejo de los animales es compatible con los esfuerzos de conservación del área natural protegida.

Palabras clave Pequeños rumiantes; Pastoreo circulante; Nevado de Toluca; Recursos naturales; Silvopastoril

Introduction

Livestock systems occupy about 45 % of the planet’s terrestrial surface area1. They occur in many forms, from extensive mixed grazing, which integrates agricultural and livestock production, to highly mechanized, market-oriented systems2. Extensive small ruminant systems tend to use native vegetation for grazing3 as part of an intricate relationship between agriculture, livestock and natural resources on which many households depend4. This relationship has been discussed in terms of its environmental impacts5, which are particularly salient when these systems are located in and/or use natural protected areas (NPAs). Grazing of livestock in NPAs poses a dilemma between exploitation and use restrictions on natural resources4.

Production systems are understood as a population of units similar in terms of resource base, livelihoods and limitations6. They can be characterized by their structural components, and technical-productive and economic indicators. This allows integration of complex and diverse elements in an analysis7, as well as development of strategies and recommendations aimed at achieving greater production system efficiency and profitability. This applies to characterization of livestock production in protected areas8, in which grazing is treated as the main element of interaction between livestock and natural resources5,9,10. No research has yet been done on sheep production systems (SPSs) in NPAs in Mexico that incorporates socioeconomic aspects, grazing dynamics and productive results. The present study objective was to characterize the productive, agricultural and socioeconomic aspects of the sheep production system in the Nevado de Toluca Flora and Fauna Protection Area (NT), and analyze use of grazing resources to better understand this system and identify opportunities for its improvement.

Material and methods

Study area

The study area was the Nevado de Toluca Flora and Fauna Protection Area, in the State of Mexico, Mexico. This NPA has elevations ranging from 3,000 to 4,660 m asl. Climate is sub-humid semi-cold (CEh), with average annual temperatures ranging from -2 to 7 °C, and annual precipitation from 1,000 to 1,400 mm. Overall NPA area is 53,987 ha, divided among 61 agricultural nuclei. Within the NPA are twenty towns and a total of approximately 10,000 inhabitants11. These communities have about 191,000 head of livestock of which 60 % are sheep. Grazing is done in forest and grasslands inside communal use areas11. Originally a national park, NT was reclassified as a Flora and Fauna Protection Area in 2013, a change which allows people living in the NPA to maintain ownership of their land and continue some productive activities, without changing land use12.

Producer identification and data collection

During 2015, a total of 162 questionnaires were applied to sheep producers who had been chosen by convenience sampling. This is the same method used in previous studies, although it does not allow building of a reliable sampling framework13. The questionnaire had three sections: (i) livestock, which recorded data on number of animals, feeding and grazing, reproduction, health and technical practices; (ii) agricultural activity, which recorded the number of crops, cultivated area and machinery; and (iii) socioeconomic characteristics, which covered head of household age and education level, income sources, family participation in labor, experience and training. Producers had no records on technical and economic information, which is common in family production systems7,14,15. As a result, the collected data was supplemented by direct observation during visits to production units, as well as forty in-depth interviews with sheep producers held during grazing periods.

Statistical analysis

A principal component analysis (PCA) was done using 25 variables to provide an initial approach to the variables describing SPS in the study area. The PCA produced small groups of linear combinations (components or factors) which explained as much variance as possible in the original data with minimal data loss16. Parsimony of the principal components (PC) was verified with the Kaiser-Meyer-Olkin (KMO) test, and sample suitability confirmed with the Bartlett test of sphericity16. Orthogonal varimax rotation was applied to the PCs to improve interpretation6,16.

Linear PCA combinations were introduced into the hierarchical cluster analysis (CA) to form groups of producers and characterize the SPS. Case clustering was done following Ward’s method, and the squared Euclidean distance used as a measure of similarity. A dendrogram analysis and cluster coefficient were applied to identify the number of groups6. Because group size was not homogeneous, differences between groups were identified with an analysis of variance (quantitative variables) by comparing Hochberg means17. Categorical variables were analyzed with contingency tables and a χ2 test6. Statistical analysis results were triangulated with field observations and interviews. All statistical analyses were run with the SPSS ver. 22.0 program.

Results and discussion

Sheep production system in the Nevado de Toluca

The SPS in the NT is a low-tech family-run system closely linked to agriculture, and which provides financial security, much like a previously described SPS18. Most of the sheep herds were fed by grazing, and supplemented in stables. Breeds were mainly Suffolk, Hampshire and crosses thereof, chosen for weight and ease of handling. Reproduction is continuous although females exhibit marked seasonality. Mating occurs most frequently in the summer with births between November and February. This is the coldest time of the year, which may contribute to high lamb mortality due to respiratory diseases.

Factors characterizing SPS

The PCA identified six principal components (PC) which explained 71% of the variance. Results for the KMO test (0.61) and Bartlett’s test of sphericity (P<0.001) confirmed analysis trustworthiness. Sixty percent (60%) of the analyzed variables were retained in the PC (Table 1), which coincides with previous reports of a 64% retention of variables7,13. This suggests that characterizing these production systems may only require from 10 to 20 variables, and that production unit size (i.e. number of hectares and animals) has the highest relevance in classification19. Variables with communality values less than 0.5 were excluded from the PCA because this indicates they had low associations with the selected PC16,17.

Table 1 Principal components with associated variables, correlation coefficients and explained variance per component 

Component Variables Variable-Factor Correlation Explained Variance*
1 Animals Parturitions, % Cultivated surface, ha .770 .768 .767 20.2 (20.2)
2 Age, years Education level, years Experience, years .903 -.712 808 14.3 (34.5)
3 Mortality (adults), % Mortality (lambs), % .746 .739 11.2 (45.7)
4 Cultivated species Family participation, # Machinery, # .678 .654 .792 9.4 (55.1)
5 Forest grazing, % Distance to grazing, km .779 .816 8.9 (64)
6 Weaning, % Deparasitization, % .830 .717 6.9 (71)

* Cumulative variance indicated in parentheses.

Principal component one (PC 1, capitalization) incorporated variables relating to system assets (Table 1), which determine the investment capacity in technical practices20. The second one (PC 2, human capital) showed the inverse relationship between head of household education level, age and experience. This reflects these adults’ limited access to education, due in part to the lack of formal employment opportunities and nonexistent infrastructure for access to educational services. These are associated with the nature of the NPA and led these adults to enter productive activities at an early age21.

The third component (PC 3, animal health) highlighted adult animal mortality (11%) and lamb mortality (23%), both of which were higher than values reported for other SPSs22. Animal health management is therefore an area of opportunity for improving system productive and financial efficiency. The fourth component (PC 4, agriculture) associated crop diversity with family participation and use of machinery. This is characteristic of mixed production systems, in which exploitation of agricultural and livestock resources depends on working as a family19.

The fifth component (PC 5, rotational grazing) linked forest grazing with the distance traveled to grazing. In this technique animals are allowed to graze freely on a surface for short periods (about 10 min) along relatively long routes (2 to 4 km), much like the grazing circuits used in the French Mediterranean9. Finally, PC 6 (technical practices) associated deparasitization with weaning, which occurs at time of sale and without prior weight gain regimes that could improve producer income14. Deparasitization was implemented in 70 % of the studied herds, a rate higher than the 58% reported for other SPSs23.

Sheep production groups in the NT

The cluster analysis identified three producer groups, differing mainly in terms of quantity of animals, cultivated agricultural area and income from sheep and agricultural. As has been done in other studies8,24, these differences were used to classify the groups as small producers (Group 1), intermediate producers (Group 2) and capitalized producers (Group 3). Following are descriptions of the productive, socioeconomic and grazing resources use aspects of each producer group.

Sheep production

Data on the SPS show small producers (28 %) had the fewest animals, and weaned and deparasitized at lower rates, probably due to their lower training levels (Table 2). Intermediate producers (35 %) had an intermediate number of animals, but the highest percentages of deparasitization and weaning. Capitalized producers (6 %) had the largest number of animals with herds about 120 % larger than in other regions of Mexico18,22, but 20 % smaller than herds in Europe3,8. Despite the differences in capitalization, parturition and lamb mortality rates did not differ (P>0.05) between the three groups. Clearly in this SPS the resource base is not reflected in productivity19, probably due to lack of inadequate training.

Table 2 Quantitative (mean and SE) and qualitative (%) characteristics of sheep production system by producer groups based on cluster analysis 

Variables Group 1 (n=74) Group 2 (n=70) Group 3 (n=18) P*
Quantitative variables:
Number of animals 16.2±1.4a 24.6±2.3b 71.7±7.2c .000
Parturitions, % 84.4±2.7 83.0±2.4 85.7±3.7 .861
Mortality (adults), % 16.5±2.3a 9.6±1.2b 7.5±1.4b .002
Mortality (lambs), % 24.1±3.2 22.8±2.2 23.4±3.6 .942
Qualitative variables, % producers:
Weaning 4 57 22 .000
Deparasitization 51 86 83 .000&
Training 27 31 50 .170
Sale of animals:
Lambs 65 64 89 .117
Grown animals 54 59 56 .860
Waste 38 47 72 .030
Self-supply 7 3 11 .327 &
Wool 20 9 22 .106 &

abc Different letter superscripts in the same row indicate significant difference (P<0.05). * P value in ANOVA and χ2. &More than 20% of squares with counts less than five.

Sheep product marketing data showed that the small and intermediate producers sold some lambs when young (4 to 5 months of age) and the remainder throughout the rest of the year, and less than half discarded unproductive animals (Table 2). This confirms financial security as one of the main functions of livestock in this system since animals are sold in response to financial need18,23. In contrast, the larger, capitalized producers sold more lambs and waste animals because their facilities and limited labor did not allow increases in herd size. This finding suggests that herd size self-regulates and that animal load therefore remains stable, leading to improved herd productivity without increased size15, largely through use of reproductive management techniques and health treatments. Sale of wool was almost null since only about 20 % of producers sheared their sheep and these just discarded the wool due “to its low price” ($1.00/kg); the market therefore limits development of this system14.

Agricultural production

Small producers had less agricultural surface, fewer crops and less machinery. Most agricultural production was used for subsistence, and 12 % of these producers owned no farmland. Intermediate producers had greater crop diversity and more machinery use, although this was not owned by them. They tended to sow higher percentages of forage oats (Avena sativa), fava bean (Vicia faba), pea (Pisum sativum) and common bean (Phaseolus vulgaris) (P>0.05). While they sold a higher percentage of potato (Solanum tuberosum) than the small producers, a third sowed small amounts (<0.3 ha) for family use (Table 3). The capitalized producers had more cultivated area and machinery use, grew potato (S. tuberosum) on 18 % of their land and maize (Zea mays) on 26 %; in contrast, the small and intermediate producers planted S. tuberosum on only 9% of their land and Z. mays on 41 %. The proportions of crops and their commercial purpose depended on producer capitalization level. In general, all three groups grew oats on 50 % of their land. They allocated Z. mays for subsistence, and fodders and crop waste to feed horses and ruminants. These in turn provided fertilizer for crops in a complementary management system between agriculture and livestock production like that reported in other SPSs18,22. This highlights that NT sheep producers have traditionally developed a comprehensive resource use strategy.

Table 3 Quantitative (mean and SE) and qualitative (%) variables of agricultural production in Nevado de Toluca sheep producer groups 

Variables Group 1 Group 2 Group 3 P *
Quantitative variables:
Crops cultivated 1.9±0.1a 2.5±0.1b 1.9±0.3ab .004
Surface cultivated, ha 1.9±0.2a 3.1±0.3a 5.3±1.7b .000
Machinery # 1.9±0.2a 3.3±0.2b 2.7±0.4ab .000
Qualitative variables, % producers:
Crops:
Oats (Avena sativa) 70 86 83 .069
Maize (Zea mays) 64 79 50 .030
Potato (Solanum tuberosum) 28 30 39 .683
Others: 19 29 11 .130
Subsistence crops
Maize (Zea mays) 98 100 100 .503f
Potato (Solanum tuberosum) 52 29 14 .115f
Others 86 81 50 .483f

abc Different letter superscripts in the same row indicate significant difference (P<0.05). * P value in ANOVA and χ2. #Total possible: vehicle, yoke of oxen, tractor, chainsaw, forage shredder, forage packer. f More than 20% of squares with counts less than five. Others= fava bean (Vicia faba), pea (Pisum sativum) and common bean (Phaseolus vulgaris).

Socioeconomic aspects

The families (5 members) of small producers participated less in agricultural activities because at least one member took non-agricultural jobs outside the NPA, consequently reducing dependence on natural resources2. Intermediate producers had larger families (6 members) and these were responsible for a larger share of agricultural activities. However, they also had more income sources since different members could service the livestock after other activities (e.g. housework, jobs, or school) (Table 4). The present data support engagement in multiple activities as a strategy for increasing income and ensuring the flow of financial resources to the household10. The capitalized producers were younger, had finished elementary school and their families (5 members) covered all livestock care needs. These results coincide with other studies done in rural Mexico25, but contrast with results for European countries where 30% of producers have a high school or university education20 and family members contribute from 33 to 74% of labor8,13.

Table 4 Socioeconomic aspects of producer groups formed in cluster analysis 

Variables Group 1 Group 2 Group 3 P*
Age, head of household (years) 52.6±1.6 53.6±1.4 48.7±2.4 .247
Education level, head of household (years) 4.7±0.4 3.8±0.3 5.6±0.8 .061
Family participation # 2.2±0.4a 3.0±0.2b 2.6±0.3ab .004
Income sources 5.3±0.2ab 5.8±0.2b 4.6±0.5a .006
Annual income, sheep, $ 5,699.2± 790a 17,554.0± 4651a 101,790.3± 51,257b .000
Sheep contribution to income, % 13.3±2.3a 17.3±2.2a 30.6±7.8b .009
Annual agricultural income, $ 11,123.5± 3,051.4a 33,291.9± 12,218.2a 133,943.3± 70032.5b .001

abc Different letter superscripts in the same row indicate significant difference (P<0.05). * P values in ANOVA. #Number of members participating in agricultural and livestock activities.

Income

Incomes from agriculture and livestock did not differ (P>0.05) between the small and intermediate producers (Table 4). The ANOVA detected no differences due to high intragroup variability. This phenomenon has been observed in studies including socioeconomic aspects6,13. In addition, income flow from sheep was not continuous because producers kept animals for sale later when they needed money, leading to productive cycles exhibiting various high and low sales periods; for example, only 16% of the studied households sold animals during the study period. Income from sheep was highest among the capitalized producers, although sale of sheep provided only a third of overall household income. The NT SPS is clearly a complement to family income14,24, in addition to employment outside the NPA, remittances and government subsidies.

Use of grazing resources

Most (97%) of the surveyed producers grazed their herds in the grazing-only or semi-stabled modalities (grazing-stabled). Of these, 58% grazed in the forest, although this proportion increased among the capitalized producers, who used grazing-only to avoid raising costs from feed purchases22. The small and intermediate producers used semi-stabled (Table 5), because their herds required less feed volume, allowing them to reduce grazing and channel their labor into higher-income activities2.

Table 5 Sheep grazing and feed management by producer group (%) 

Variables Group 1 (n=74) Group 2 (n=70) Group 3 (n=18) P*
Feed management:
Grazing 26 26 44 .060
Semi-stabled 73 64 44 .055
Stabled 1 10 11 .060&
Forest grazing: 57 51 67 .490
Feeds used:
Hayed forage 84 96 89 .065
Balanced feed 18 31 39 .068
Mineral salt 64 84 100 .001

*P value in χ2. &More than 20% of squares had counts less than five.

Forest grazing circuits were frequently changed and differed between producers, who modified their routes year-round based on their perception of vegetation availability5,9. This suggests that pressure on grazing resources is regulated by apparent fodder availability, previous grazing cycles and in situ agroecological characteristics. Management of this SPS may therefore be compatible with conservation efforts if animal load is adjusted by developing methodologies appropriate to rotational grazing and adequate knowledge is shared occurs between producers.

Sheep herds are grazed in the NT forest mainly in the dry season (March to May) when pasture quantity and quality decreases. During the rainy season (June to October) the preference is for grasslands containing the genera Vulpia, Nassella, Trisetum, Muhlenbergia, Potentilla26, and forest grazing decreases. After local crops are harvested (November to February) field stubble and roadsides are grazed. Producers in this SPS are clearly adapting to year-round resource availability22,26. Their experience in grazing area use could be incorporated into zoning plans within the new Flora and Fauna Protection Area designation, essentially integrating local knowledge into management plan design27.

Feeding

Most producers (88%) provided feed concentrate (commercial and empirically-processed homemade mixtures) to their herd, confirming that traditional grazing management is transforming into a semi-stabled system, with day-grazing followed by stabling and supplementary feed in the evening. This arises from producer interest in intensifying production1,5 and adaptation strategies responding to restrictions on natural resource use4. Some producers (22 %) were intensifying their strategy by stabling weaned lambs to promote weight gain and consequently higher sales prices (Table 5). However, producers need to be careful that intensification does not undermine profitability due to the need for input purchase3.

The technological transition observed in the NT has been reported for different production systems5,7,14. It also suggests that use of grazing resources in NPA should be incorporated into more complex feeding strategies that include commercial feed and cultivated fodder. Grazing-based systems that adequately integrate their resources can be financially efficient and environmentally friendly3,15, since grazing can contribute to maintaining biodiversity10 and avoids accumulation of combustible material13,28.

The main feeds used in the study area were hayed oats and corn stover (Table 5); both are low cost because they are by-products of crops grown by producers. A very few producers fed their sheep mixtures of wheat bran or soybean (13 %) or potato waste (2 %), although use of this resource has not been documented. Feed management practices in the NT are similar to those used in other SPS22,23. They also approximate traditional agrosilvopastoral management in which resources are used in an integrated manner, although different plant strata do not necessarily share the same space27. This differs from agroecological designs in which trees are combined with different vegetation strata to provide animal feed28.

Conclusions and implications

Three groups of sheep producers were identified within the Nevada de Toluca Flora and Fauna Preservation Area. These were distinguished by their level of capitalization in the form of quantity of animals, cultivated owned and income generated. Capitalization was not reflected in productivity since all three groups had similar parturition and lamb mortality rates, highlighting the need for increased training to raise production and income levels. Agricultural production did not correlate with producer capitalization because those with more productive assets devoted more area to commercial crops. The crop-to-livestock ratio in the studied system agrees with conservation strategies, since, for example, use of manure decreases application of chemical fertilizers. Social aspects such as head of household age and education level did not affect sheep system productivity, although system economic efficiency depended on family labor. Sheep production was not the main income source among the studied producers but was essential to the family economy because it provided the financial safety not available from other economic components. Any management plan for the study area needs to consider that this sheep production system is in transition from an extensive to a semi-stabled grazing strategy. It therefore requires improved feeding strategies to reduce grazing within the natural protected area, and definition, where appropriate, of action plans for sustainable use based on level of grazing area deterioration and its relationship to animal load. Adoption of agrosilvopastoral management strategies can help to make sheep production compatible with conservation efforts. However, the area’s biological and socioeconomic characteristics mean achieving a technically viable model requires interaction and cooperation among multiple actors with interests in the natural protected area.

Acknowledgements

The research reported here was financed by the Universidad Autónoma del Estado de México, through the project “Ganadería Modos de vida y paisaje del Área de Protección de Flora y Fauna Nevado de Toluca. Interacciones y co-evolución desde inicios del siglo XX”. Thanks are due the producers of the Nevado de Toluca for their trust and time.

REFERENCES

1. Herrero M, Thornton PK, Gerber P, Reid RS. Livestock, livelihoods and environmental: understanding the trade-offs. Current Opinion in Environmental Sustainability 2009;(1):111-120. [ Links ]

2. Babulo B, Muys B, Nega F, Tollens E, Nyssen J, Deckers J, et al. Household livelihood strategies and forest dependence in the highlands of Tigray, Northern Ethiopia. Agric Syst 2008;(98):147-155. [ Links ]

3. Pérez JP, Gil JM, Sierra I. Technical efficiency of meat sheep production systems in Spain. Technical note. Small Ruminant Res 2007;(69):237-241. [ Links ]

4. Gurung B, Nelson KC, Smith JLD. Impact of grazing restrictions on livestock composition and husbandry practices in Madi Valley, Chitwan National Park, Nepal. Environmental Conservation 2010;36(4):338-347. [ Links ]

5. Jouven M, Lapeyronie P, Moulin CH, Bocquier F. Rangeland utilization in Mediterranean farming systems. Animal 2010;4(10):1746-1757. [ Links ]

6. Madry W, Mena Y, Roszkowska-Madra B, Gozdowski D, Hryniewski R, Castel JM. An overview of farming system typology methodologies and its use in the study of pasture-based farming system: a review. Spanish J Agric Res 2013;11(2):316-326. [ Links ]

7. Toro-Mujica P, Aguilar C, Vera R, Rivas J, García A. Sheep production systems in the semi-arid zone: Changes and simulated bio-economic performances in a case study in Central Chile. Livestock Sci 2015;(180):209-219. [ Links ]

8. Gaspar P, Escribano M, Mesías FJ, Rodriguez LA, Pulido F. Sheep farms in the Spanish rangelands (dehesas): Typologies according to livestock management and economic indicators. Small Ruminant Res 2008;(74):52-63. [ Links ]

9. Lasseur J. Sheep farming systems and nature management of rangeland in French Mediterranean mountain areas. Livest Prod Sci 2005;(96):87-95. [ Links ]

10. Riedel L, Casasús I, Bernués A. Sheep farming intensification and utilization of natural resources in a Mediterranean pastoral agro-ecosystem. Livestock Sci 2007;(111):153-163. [ Links ]

11. CONANP. Comisión Nacional de Áreas Naturales Protegidas. Estudio Previo Justificativo para la Modificación de la Declaratoria del Parque Nacional Nevado de Toluca, ubicada en el Estado de México, México. 2013. [ Links ]

12. DOF. Diario Oficial de la Federación. Decreto que reforma, deroga y adiciona diversas disposiciones del diverso publicado el 25 de enero de 1936, por el que se declaró Parque Nacional la montaña denominada "Nevado de Toluca". 2013. http://www.nevadodetoluca.conanp.gob.mx/decreto.php#.WAefVPl96M8 . Consultado: 19 Oct, 2015. [ Links ]

13. Toro-Mujica P, García A, Gómez-Castro A, Perea J, Rodríguez-Estévez V, Angón E. et al. Organic dairy sheep farms in south-central Spain: Typologies according to livestock management and economic variables. Small Ruminant Res 2012;(104):28-36. [ Links ]

14. Raineri C, Nunes BCP, Gameiro AH. Technological characterization of sheep production systems in Brazil. Anim Sci J 2015;(86):476-485. [ Links ]

15. Al-Khalidi KM, Alassaf AA, Al-Shudiefat MF, Al-Tabini RJ. Economic performance of small ruminant production in a protected area: a case study from Tell Ar-Rumman, a Mediterranean ecosystem in Jordan. Agric Food Econom 2013;1:8. [ Links ]

16. Hair JF, Black WC, Tatham RL, Anderson RE. Multivariate Data Analysis. 7th ed. London, United Kingdom. Prentice Hall International; 2010. [ Links ]

17. Field, A. Discovering statistics using IBM SPSS statistics. 4th ed. Great Britain: SAGE Publications; 2013. [ Links ]

18. Vázquez MI, Vargas LS, Zaragoza RJL, Bustamante GA, Calderón SF, Rojas AJ, et al. Tipología de explotaciones ovinas en la sierra norte del estado de Puebla. Téc Pecu Méx 2009;47(4):357-369. [ Links ]

19. Cortez-Arriola J, Rossing AHW, Améndola MRD, Scholberg MSJ, Groot JCJ, Tittonell P. Leverages for on-farm innovation from farm typologies? An illustration for family-based dairy farms in north-west Michoacán, Mexico. Agric Syst 2015;(135):66-76. [ Links ]

20. Rivas J, García A, Toro-Mujica P, Angón E, Perea J, Morantes M, et al. Caracterización técnica, social y comercial de las explotaciones ovinas manchegas, centro-sur de España. Rev Mex Cienc Pecu 2014;5(3):291-306. [ Links ]

21. Mier y Terán M, Rabell C. Escolaridad y lengua hablada en comunidades rurales de la península yucateca. Rev Mex Sociología 2013;75(3):371-406. [ Links ]

22. Galaviz-Rodríguez JR, Vargas-López S, Zaragoza-Ramírez JL, Bustamante-González A, Ramírez-Bribiesca E, Guerrero-Rodríguez JD, et al. Evaluación territorial de los sistemas de producción ovina en la región nor-poniente de Tlaxcala. Rev Mex Cienc Pecu 2011;2(1):53-68. [ Links ]

23. Kosgey IS, Rowlands GJ, Van-Arendonk JAM, Baker RL. Small ruminant production in smallholder and pastoral/extensive farming systems in Kenya. Small Ruminant Res 2008;(77):11-24. [ Links ]

24. Pérez HP, Vilaboa AJ, Chalate MH, Martínez BC, Díaz RP, López OS. Análisis descriptivo de los sistemas de producción con ovinos en el estado de Veracruz, México. Rev Científica 2011;XXI(4):327-334. [ Links ]

25. Ordaz JL. México: capital humano e ingresos. Retornos a la educación, 1994-2005. En: CEPAL - Serie Estudios y perspectivas - México. 2007;(90). [ Links ]

26. Martínez HJ, Arriaga JCM, González RIC, Rosa GR, Hernández LGB, Valdés RJ, et al. La acumulación neta de fitomasa y calidad nutritiva de pastizales en el Área de Protección de Flora y Fauna Nevado de Toluca para la producción ovina. Reunión Científica de la Sociedad Española para el Estudio de los Pastos. Lugo-A Coruña, España 2016:381-386. [ Links ]

27. Choocharoen C, Neef A, Preechapanya P, Hoffmann V. Agrosilvopastoral Systems in Northern Thailand and Northern Laos: Minority Peoples’ Knowledge versus Government Policy. Land 2014;(3):414-436. [ Links ]

28. Cubbage F, Balmelli G, Bussoni A, Noellemeyer E, Pachas AN., Fassola H, et al. Comparing silvopastoral systems and prospects in eight regions of the world. Agroforest Syst 2012;(86):303-314. [ Links ]

Received: April 25, 2017; Accepted: August 30, 2018

Creative Commons License Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons