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AGRO-ECOSYSTEM SERVICES ASSESSMENT OF SILVOPASTORAL EXPERIENCES IN CHIAPAS, MEXICO: TOWARDS A METHODOLOGICAL PROPOSAL

Published online by Cambridge University Press:  17 November 2017

ELENI MARINIDOU*
Affiliation:
El Colegio de la Frontera Sur (ECOSUR), Carretera Panamericana y Periférico Sur s/n, Barrio María Auxiliadora, San Cristóbal de Las Casas, Chiapas 29290, México
GUILLERMO JIMÉNEZ-FERRER
Affiliation:
El Colegio de la Frontera Sur (ECOSUR), Carretera Panamericana y Periférico Sur s/n, Barrio María Auxiliadora, San Cristóbal de Las Casas, Chiapas 29290, México
LORENA SOTO-PINTO
Affiliation:
El Colegio de la Frontera Sur (ECOSUR), Carretera Panamericana y Periférico Sur s/n, Barrio María Auxiliadora, San Cristóbal de Las Casas, Chiapas 29290, México
BRUCE G. FERGUSON
Affiliation:
El Colegio de la Frontera Sur (ECOSUR), Carretera Panamericana y Periférico Sur s/n, Barrio María Auxiliadora, San Cristóbal de Las Casas, Chiapas 29290, México
ANTONIO SALDÍVAR-MORENO
Affiliation:
El Colegio de la Frontera Sur (ECOSUR), Carretera Panamericana y Periférico Sur s/n, Barrio María Auxiliadora, San Cristóbal de Las Casas, Chiapas 29290, México
*
‡Corresponding author. Email: emarinidou@ecosur.mx
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Summary

In response to the current needs of humanity with regard to food production, environmental disasters and climate change, it is important to define (livestock) production systems and management practices that are both productive and ecologically sustainable. We qualitatively assessed advanced silvopastoral experiences in five ecologically and culturally distinct regions in Chiapas, Mexico, given their ability to provide key services: internal (productivity and productive resiliency) and external (climate change mitigation and biodiversity conservation). We propose 20 indicators that reflect management, resources, use of external inputs, availability of food, commercial products and animal feed and trees in grazing and forest areas. Sets of some indicators form criteria for dependence on external inputs, productive diversification with emphasis on food security, soil conservation, tree cover and landscape connectivity, among others. Indicators and thresholds were adjusted to critical (traffic light) levels, based on field data. Comparing the levels reached by the studied experiences, we found that most of the resulting services go hand in hand; so ‘win–win’ situations are possible to be achieved. The elements and practices that affect both internal and external services were explored. The red light critical points in each production unit were identified so that they could be attended. Experiences that presented higher levels in assessment criteria could serve as examples to enable the improvement of livestock systems under similar conditions. We propose this assessment as a tool for rapid intervention that can be widely applied to livestock systems, from conventional to organic or diversified, because of the criteria used. However, it can be more flexible, as new criteria can be added and thresholds can be adjusted for other types of production systems, always reflecting local and desired conditions. The proposed indicators can be also used as a basis for a quantitative agroecosystem assessment.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2017 
Figure 0

Table 1. Main agro-ecological features of the studied silvopastoral experiences in the five cattle regions, in Chiapas State, Mexico.

Figure 1

Table 2. Criteria and indicators used to assess internal and external services of silvopastoral experiences.

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Table 3. Criteria and thresholds for the agro-ecosystem services assessment of livestock systems (based on advanced silvopastoral experiences in Chiapas, México).

Figure 3

Figure 1. Average level reached by advanced silvopastoral experiences in five Chiapas regions (1–5: very low–very high) for the agro-ecosystem services provided, their indicators and criteria. (a) Agro-ecosystem services; PROD: productivity, RESIL: productive resilience, CCMIT: climate change mitigation, BDC: biodiversity conservation. (b) PROD indicators; LvSP: livestock system purpose, CSurv: Calves survival, Fatt: fattening time, Infr: infrastructure. (c and d) RESIL criteria and indicators; RExI: reduction of external inputs, f-fuel: fossil fuels, agrch: agrochemicals, anfeed: animal feed; PrDv: production diversification, FoodDv: overall food diversity, Foodtr: food-trees, Foodpr: food products; TrDv: trade products and activities diversification; LvSDv: overall livestock systems’ diversity, Anim: breeds and species, FodTr: fodder-tree species, Enfeed: energy forage and feed products; SC: soil conservation, SlopSt: state of slopes, RpSt: state of riparian areas. (e) CCMIT criteria and indicators; GHGR: GHG reduction, GHGS: sequestration, GzTC: tree cover (TC) in grazing areas (Gz), FaSz: % size of forest areas (Fa). (f) BDC criteria and indicators; GzRch: tree richness in Gz, FaSt; state of Fa; Conn: connectivity capacity, LivF: live fences.

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