Monitorización y Evaluación Participativa en Agricultura Regenerativa: Del conocimiento y los impactos locales a la adopción a gran escala

The advanced state of land degradation affecting more than 3,200 million people worldwide have raised great international concern regarding the sustainability of socio-ecological systems, urging the large-scale adoption of contextualized sustainable land management. The agricultural industrial model is a major cause of land degradation due to the promotion of unsustainable management practices that deteriorate the quality of soils compromising their capacity to function and deliver ecosystem services. The consequences derived from land degradation are especially devastating in semi-arid regions prone to desertification, where rainfall scarcity and irregularity intensifies crop failure risks and resource degradation, compromising the long term sustainability of these regions. Regenerative agriculture (RA) has recently gained increasing recognition as a plausible solution to restore degraded agroecosystems worldwide. RA is a farming approach foreseen to reverse land degradation, increase biodiversity, boost production and enhance the delivery of multiple ecosystem services by following a series of soil quality restoration principles and practices. Despite its promising benefits, RA has been limitedly adopted in semiarid regions. Major reasons explaining this seemingly incongruous mismatch are the scarce and contrasting empirical data proving its effectiveness, top-down research approaches and lack of farmer involvement in agroecosystem restoration projects and decision-making, and the generally slow response of soils to management changes in semiarid regions, which may delay the appearance of visible results discouraging farmers from adopting RA. In the high steppe plateau of southeast Spain, an on-going process of large-scale landscape restoration through adoption of regenerative agriculture was initiated in 2015. The high steppe plateau is one of the European regions most affected by land degradation and desertification processes and represents one of the world´s largest areas for the production of rainfed organic almonds. In 2015, local farmers created the AlVelAl association with the support of the Commonland Foundation, business entrepreneurs, regional governments, and research institutions, and started to apply RA at their farms. The objective was to restore vast extensions of degraded land for increasing the productivity and biodiversity of their agroecosystems, increasing the resilience to climate change, generating job opportunities and enhancing social cohesion in the region, in a time frame of 20 years following Commonlands´ 4-Returns approach. However, the limited empirical information supporting RA effectiveness, the lack of reference examples in the region, and the slowness with which visible ecological restoration processes usually occur in semiarid regions were considered major obstacles hindering RA adoption in the region. To effectively address this knowledge gap, support farmers and expedite RA adoption, this research proposed horizontal research fostering the creation of learning communities between farmers and researchers, putting together local and scientific knowledge to improve the understanding of RA. This thesis presents a participatory monitoring and evaluation research (PM&E) applying a combination of social and ecological methods to evaluate the potential of PM&E to enhance knowledge exchange between farmers and researchers on Regenerative Agriculture in the context of the high steppe plateau. The aim of this thesis is twofold: on one hand, to increase the understanding on RA impacts, on the other hand, to evaluate the potential contribution of PM&E to enable social learning and contribute to the adaptation and long term adoption of RA in the high steppe plateau and semiarid regions in general. To facilitate PM&E of the impacts of sustainable land management and agricultural innovations like RA, Chapter 2 presents a participatory methodological framework that guides the identification and selection of technical and local indicators of soil quality, generating a monitoring system of soil quality for PM&E by farmers and researchers. The methodological framework includes the development of a visual soil assessment tool integrating local indicators of soil quality for farmers´ monitoring. The framework consists of 7 phases: 1) Definition of research and monitoring objectives; 2) Identification, selection and prioritization of Technical Indicators of Soil Quality (TISQ); 3) Identification, selection and prioritization of Local Indicators of Soil Quality; 4) Development of a visual soil assessment tool integrating LISQ; 5) Testing and validation of the visual soil evaluation tool; 6) Monitoring and assessment of sustainable land management impacts by researchers and farmers using TISQ and the visual soil evaluation tool respectively and; 7) Exchange of monitoring results between all involved participants, and joint evaluation of impacts. To facilitate PM&E of RA in the steppe highlands, Phases 1 to 5 were applied through a series of participatory methods including a first meeting with AlVelAl board members for the definition of research objectives, farm visits, participatory workshops, and conducting formal and informal interviews, among others. Technical indicators of soil quality were identified, selected and prioritized by researchers through an extensive literature review and ad-hoc expert consultation with expertise in soil quality assessment and monitoring. Local indicators of soil quality were identified, selected, prioritized and validated by farmers in two participatory workshops. The co-developed visual soil assessment tool, named the farmer manual, was tested and validated during the second workshop. Local indicators selected by farmers focused mostly on supporting, regulating and provisioning ecosystem services including water regulation, erosion control, soil fertility and crop performance. Technical indicators selected by researchers focused mostly on soil properties including aggregate stability, soil nutrients, microbial biomass and activity, and leaf nutrients, covering crucial supporting services. The combination of local and technical indicators provided complementary information, improving the coverage and feasibility of RA impact assessment, compared to using technical or local indicators alone. The methodological framework developed in this chapter facilitated the identification and selection of local and technical indicators of soil quality to generate relevant monitoring systems and visual soil assessment tools adapted to local contexts, thus improving knowledge exchange and mutual learning between farmers and researchers to support the implementation of RA and optimize the provision of ecosystem services. Implementation of RA usually happens gradually due to socioeconomic, informational, practical, environmental and political constraints Thus, RA adoption by farmers, in practice, translates into different combinations of RA practices, with a diversity of management, based on farmer capabilities, environmental conditions, and expected restoration results. To help the design, adoption and implementation of most effective RA practices to optimize the restoration of agroecosystems, Chapter 3 presents the impacts of the different combinations of RA practices implemented by participating farmers on crucial soil quality and crop performance indicators using previously selected technical indicators of soil quality over a period of 2 years. This chapter corresponds to the application of phase 6 of the methodological framework developed in Chapter 2. RA impacts were assessed in 9 farms on one field with regenerative management and one nearby field with conventional management based on frequent tillage, that were selected together with farmers. Fields were clustered under regenerative management based on the RA practices applied and distinguished 4 types of RA treatments: 1) reduced tillage with green manure (GM), 2) reduced tillage with organic amendments (OA), 3) reduced tillage with green manure and organic amendments (GM&OA), and 4) no tillage with permanent natural covers and organic amendments (NT&OA). The impacts of RA compared to conventional management were evaluated by comparing physical (bulk density and aggregate stability), chemical (pH, salinity, total N, P, K, available P, and exchangeable cations) and biological (SOC, POC, PON, microbial activity) properties of soil quality, and the nutritional status of almond trees (leaf N, P and K). Our results show that GM improved soil physical properties, presenting higher soil aggregate stability. We found that OA improved most soil chemical and biological properties, showing higher contents of SOC, POC, PON, total N, K, P, available P, exchangeable cations and microbial respiration. RA treatments combining ground covers and organic amendments (GM&OA and NT&OA) exhibited greater overall soil quality restoration than individual practices. NT&OA stood out for presenting the highest soil quality improvements. All RA treatments maintained similar crop nutritional status compared to conventional management. We concluded that RA has strong potential to restore the physical, chemical and biological quality of soils of woody agroecosystems in Mediterranean drylands without compromising their nutritional status. Furthermore, farming management combinations of multiple regenerative practices are expected to be more effective than applying individual RA practices. In parallel to researchers´ assessment of RA impacts, farmers assessed RA impacts in their farms by using the farmer manual jointly developed in participatory workshops. Chapter 4 presents the RA impact results from farmers´ assessment, and documented farmers´ insights, in the third year of PM&E, on the visual soil assessment process using the farmer manual, and on PM&E outcomes regarding the facilitation of participation and learning processes. This chapter corresponds to the application of phase 6 and phase 7 of the methodological framework developed in Chapter 2. Farmers´ visual soil assessment indicated regenerative agriculture as a promising solution to restore degraded agroecosystems in semiarid Mediterranean drylands, although observed soil quality improvements were relatively small compared to conventional management, and more time and efforts are needed to attain desired restoration targets. The monitoring results on RA reported by farmers were complementary to researchers´ findings using technical indicators of soil quality. Farmers’ evaluation of the research project highlighted the PM&E research as an educational process that helped them look differently at their land and their restoration efforts and facilitated the creation of relationships of support and trust, learning and capacity building that are fundamental conducive conditions to enhance farming innovation efficiency and adoption. Farmers confirmed that generating spaces for farmer-to-farmer diffusion of knowledge and on-farm experiences is a key driver to expedite farming testing and adoption of innovations. Farmers insights revealed the need to actively involve them in all decision making phases of VSA tools and support them in initial implementation, in order to develop tools that meet farmers´ needs, to enhance VSA tool adoption, and facilitate reaching restoration goals. Furthermore, farmers´ evaluation of the farmer manual suggested the need to reinforce the multipurpose usefulness and potential benefits of collectively recording restoration progress in a systematized way, to enhance VSA tool adoption. Farmers´ insights on the PM&E research reinforces the importance of developing learning communities of farmers and researchers that provide a platform for exchange of experiences and support, as a crucial factor to favor social learning and support the adoption of long-term agricultural innovations. The success of PM&E research for agroecosystem restoration can be improved by integrating iterative phases where farmers can evaluate and adjust research activities and outcomes. We concluded that the process of PM&E that leads to enhanced social capital, social learning and improved understanding of restoration efforts has as much value as the actual restoration outcomes on the ground. Social learning is considered an important precondition for the adoption of contextualized sustainable land management and farming innovations like RA. The main objective of involving farmers and researchers in PM&E of RA was to enable social learning for enhanced understanding of RA impacts and support adoption of RA. Although there is a growing body of literature asserting the achievement of social learning through participatory processes, social learning has been loosely defined, sparsely assessed, and only partially covered when measured. Confirming that a participatory process has favored social learning implies demonstrating that there has been an acquisition of knowledge and change in perceptions at individual and collective level in the people involved in the participatory process, and that this change in perceptions has been generated through social relations. Chapter 5 presents an assessment of how the PM&E research process enabled social learning by effectively increasing knowledge exchange and understanding of RA impacts between participating farmers and researchers, and multiple stakeholders of farmers´ social networks. Occurrence of social learning was assessed by covering its social-cognitive (perceptions) and social-relational (social networks) dimensions. This chapter discusses the potential of PM&E to foster adoption and out-scaling of sustainable land management and farming innovations like RA by promoting the generation of information fluxes between farmers and researchers participating in PM&E and the agricultural community of which they form part. To assess changes in farmers´ perceptions and shared fluxes of information on RA before starting the PM&E and after three years of research, we applied fuzzy cognitive mapping and social network analysis as graphical semi-quantitative methods. Our results showed that PM&E enabled social learning amongst participating farmers who strengthened and enlarged their social networks on information sharing, and presented a more complex and broader common understanding of regenerative agriculture impacts and benefits. This supports the idea that PM&E thereby creates crucial preconditions for the adoption and out-scaling of RA. This study was one of the first studies in the field of natural resource management and innovation adoption proving that social learning occurred by providing evidence of both the socialcognitive and social-relational dimension. Our findings are relevant for the design of PM&E processes, agroecosystem Living Labs, and landscape restoration initiatives that aim to support farmers´ adoption and out-scaling of contextualized farming innovations and sustainable land management. We concluded that PM&E where the democratic involvement of participants is the bedrock of the whole research process and the needs and concerns of the farming community are taken as the basis for collaborative research represents a great opportunity to generate inclusive, engaging, efficient, and sound restoration processes and transitions towards sustainable and resilient agroecosystems

Monitorización y Evaluación Participativa en Agricultura Regenerativa: Del conocimiento y los impactos locales a la adopción a gran escala

The advanced state of land degradation affecting more than 3,200 million people worldwide have raised great international concern regarding the sustainability of socio-ecological systems, urging the large-scale adoption of contextualized sustainable land management. The agricultural industrial model is a major cause of land degradation due to the promotion of unsustainable management practices that deteriorate the quality of soils compromising their capacity to function and deliver ecosystem services. The consequences derived from land degradation are especially devastating in semi-arid regions prone to desertification, where rainfall scarcity and irregularity intensifies crop failure risks and resource degradation, compromising the long term sustainability of these regions. Regenerative agriculture (RA) has recently gained increasing recognition as a plausible solution to restore degraded agroecosystems worldwide. RA is a farming approach foreseen to reverse land degradation, increase biodiversity, boost production and enhance the delivery of multiple ecosystem services by following a series of soil quality restoration principles and practices. Despite its promising benefits, RA has been limitedly adopted in semiarid regions. Major reasons explaining this seemingly incongruous mismatch are the scarce and contrasting empirical data proving its effectiveness, top-down research approaches and lack of farmer involvement in agroecosystem restoration projects and decision-making, and the generally slow response of soils to management changes in semiarid regions, which may delay the appearance of visible results discouraging farmers from adopting RA. In the high steppe plateau of southeast Spain, an on-going process of large-scale landscape restoration through adoption of regenerative agriculture was initiated in 2015. The high steppe plateau is one of the European regions most affected by land degradation and desertification processes and represents one of the world´s largest areas for the production of rainfed organic almonds. In 2015, local farmers created the AlVelAl association with the support of the Commonland Foundation, business entrepreneurs, regional governments, and research institutions, and started to apply RA at their farms. The objective was to restore vast extensions of degraded land for increasing the productivity and biodiversity of their agroecosystems, increasing the resilience to climate change, generating job opportunities and enhancing social cohesion in the region, in a time frame of 20 years following Commonlands´ 4-Returns approach. However, the limited empirical information supporting RA effectiveness, the lack of reference examples in the region, and the slowness with which visible ecological restoration processes usually occur in semiarid regions were considered major obstacles hindering RA adoption in the region. To effectively address this knowledge gap, support farmers and expedite RA adoption, this research proposed horizontal research fostering the creation of learning communities between farmers and researchers, putting together local and scientific knowledge to improve the understanding of RA. This thesis presents a participatory monitoring and evaluation research (PM&E) applying a combination of social and ecological methods to evaluate the potential of PM&E to enhance knowledge exchange between farmers and researchers on Regenerative Agriculture in the context of the high steppe plateau. The aim of this thesis is twofold: on one hand, to increase the understanding on RA impacts, on the other hand, to evaluate the potential contribution of PM&E to enable social learning and contribute to the adaptation and long term adoption of RA in the high steppe plateau and semiarid regions in general. To facilitate PM&E of the impacts of sustainable land management and agricultural innovations like RA, Chapter 2 presents a participatory methodological framework that guides the identification and selection of technical and local indicators of soil quality, generating a monitoring system of soil quality for PM&E by farmers and researchers. The methodological framework includes the development of a visual soil assessment tool integrating local indicators of soil quality for farmers´ monitoring. The framework consists of 7 phases: 1) Definition of research and monitoring objectives; 2) Identification, selection and prioritization of Technical Indicators of Soil Quality (TISQ); 3) Identification, selection and prioritization of Local Indicators of Soil Quality; 4) Development of a visual soil assessment tool integrating LISQ; 5) Testing and validation of the visual soil evaluation tool; 6) Monitoring and assessment of sustainable land management impacts by researchers and farmers using TISQ and the visual soil evaluation tool respectively and; 7) Exchange of monitoring results between all involved participants, and joint evaluation of impacts. To facilitate PM&E of RA in the steppe highlands, Phases 1 to 5 were applied through a series of participatory methods including a first meeting with AlVelAl board members for the definition of research objectives, farm visits, participatory workshops, and conducting formal and informal interviews, among others. Technical indicators of soil quality were identified, selected and prioritized by researchers through an extensive literature review and ad-hoc expert consultation with expertise in soil quality assessment and monitoring. Local indicators of soil quality were identified, selected, prioritized and validated by farmers in two participatory workshops. The co-developed visual soil assessment tool, named the farmer manual, was tested and validated during the second workshop. Local indicators selected by farmers focused mostly on supporting, regulating and provisioning ecosystem services including water regulation, erosion control, soil fertility and crop performance. Technical indicators selected by researchers focused mostly on soil properties including aggregate stability, soil nutrients, microbial biomass and activity, and leaf nutrients, covering crucial supporting services. The combination of local and technical indicators provided complementary information, improving the coverage and feasibility of RA impact assessment, compared to using technical or local indicators alone. The methodological framework developed in this chapter facilitated the identification and selection of local and technical indicators of soil quality to generate relevant monitoring systems and visual soil assessment tools adapted to local contexts, thus improving knowledge exchange and mutual learning between farmers and researchers to support the implementation of RA and optimize the provision of ecosystem services. Implementation of RA usually happens gradually due to socioeconomic, informational, practical, environmental and political constraints Thus, RA adoption by farmers, in practice, translates into different combinations of RA practices, with a diversity of management, based on farmer capabilities, environmental conditions, and expected restoration results. To help the design, adoption and implementation of most effective RA practices to optimize the restoration of agroecosystems, Chapter 3 presents the impacts of the different combinations of RA practices implemented by participating farmers on crucial soil quality and crop performance indicators using previously selected technical indicators of soil quality over a period of 2 years. This chapter corresponds to the application of phase 6 of the methodological framework developed in Chapter 2. RA impacts were assessed in 9 farms on one field with regenerative management and one nearby field with conventional management based on frequent tillage, that were selected together with farmers. Fields were clustered under regenerative management based on the RA practices applied and distinguished 4 types of RA treatments: 1) reduced tillage with green manure (GM), 2) reduced tillage with organic amendments (OA), 3) reduced tillage with green manure and organic amendments (GM&OA), and 4) no tillage with permanent natural covers and organic amendments (NT&OA). The impacts of RA compared to conventional management were evaluated by comparing physical (bulk density and aggregate stability), chemical (pH, salinity, total N, P, K, available P, and exchangeable cations) and biological (SOC, POC, PON, microbial activity) properties of soil quality, and the nutritional status of almond trees (leaf N, P and K). Our results show that GM improved soil physical properties, presenting higher soil aggregate stability. We found that OA improved most soil chemical and biological properties, showing higher contents of SOC, POC, PON, total N, K, P, available P, exchangeable cations and microbial respiration. RA treatments combining ground covers and organic amendments (GM&OA and NT&OA) exhibited greater overall soil quality restoration than individual practices. NT&OA stood out for presenting the highest soil quality improvements. All RA treatments maintained similar crop nutritional status compared to conventional management. We concluded that RA has strong potential to restore the physical, chemical and biological quality of soils of woody agroecosystems in Mediterranean drylands without compromising their nutritional status. Furthermore, farming management combinations of multiple regenerative practices are expected to be more effective than applying individual RA practices. In parallel to researchers´ assessment of RA impacts, farmers assessed RA impacts in their farms by using the farmer manual jointly developed in participatory workshops. Chapter 4 presents the RA impact results from farmers´ assessment, and documented farmers´ insights, in the third year of PM&E, on the visual soil assessment process using the farmer manual, and on PM&E outcomes regarding the facilitation of participation and learning processes. This chapter corresponds to the application of phase 6 and phase 7 of the methodological framework developed in Chapter 2. Farmers´ visual soil assessment indicated regenerative agriculture as a promising solution to restore degraded agroecosystems in semiarid Mediterranean drylands, although observed soil quality improvements were relatively small compared to conventional management, and more time and efforts are needed to attain desired restoration targets. The monitoring results on RA reported by farmers were complementary to researchers´ findings using technical indicators of soil quality. Farmers’ evaluation of the research project highlighted the PM&E research as an educational process that helped them look differently at their land and their restoration efforts and facilitated the creation of relationships of support and trust, learning and capacity building that are fundamental conducive conditions to enhance farming innovation efficiency and adoption. Farmers confirmed that generating spaces for farmer-to-farmer diffusion of knowledge and on-farm experiences is a key driver to expedite farming testing and adoption of innovations. Farmers insights revealed the need to actively involve them in all decision making phases of VSA tools and support them in initial implementation, in order to develop tools that meet farmers´ needs, to enhance VSA tool adoption, and facilitate reaching restoration goals. Furthermore, farmers´ evaluation of the farmer manual suggested the need to reinforce the multipurpose usefulness and potential benefits of collectively recording restoration progress in a systematized way, to enhance VSA tool adoption. Farmers´ insights on the PM&E research reinforces the importance of developing learning communities of farmers and researchers that provide a platform for exchange of experiences and support, as a crucial factor to favor social learning and support the adoption of long-term agricultural innovations. The success of PM&E research for agroecosystem restoration can be improved by integrating iterative phases where farmers can evaluate and adjust research activities and outcomes. We concluded that the process of PM&E that leads to enhanced social capital, social learning and improved understanding of restoration efforts has as much value as the actual restoration outcomes on the ground. Social learning is considered an important precondition for the adoption of contextualized sustainable land management and farming innovations like RA. The main objective of involving farmers and researchers in PM&E of RA was to enable social learning for enhanced understanding of RA impacts and support adoption of RA. Although there is a growing body of literature asserting the achievement of social learning through participatory processes, social learning has been loosely defined, sparsely assessed, and only partially covered when measured. Confirming that a participatory process has favored social learning implies demonstrating that there has been an acquisition of knowledge and change in perceptions at individual and collective level in the people involved in the participatory process, and that this change in perceptions has been generated through social relations. Chapter 5 presents an assessment of how the PM&E research process enabled social learning by effectively increasing knowledge exchange and understanding of RA impacts between participating farmers and researchers, and multiple stakeholders of farmers´ social networks. Occurrence of social learning was assessed by covering its social-cognitive (perceptions) and social-relational (social networks) dimensions. This chapter discusses the potential of PM&E to foster adoption and out-scaling of sustainable land management and farming innovations like RA by promoting the generation of information fluxes between farmers and researchers participating in PM&E and the agricultural community of which they form part. To assess changes in farmers´ perceptions and shared fluxes of information on RA before starting the PM&E and after three years of research, we applied fuzzy cognitive mapping and social network analysis as graphical semi-quantitative methods. Our results showed that PM&E enabled social learning amongst participating farmers who strengthened and enlarged their social networks on information sharing, and presented a more complex and broader common understanding of regenerative agriculture impacts and benefits. This supports the idea that PM&E thereby creates crucial preconditions for the adoption and out-scaling of RA. This study was one of the first studies in the field of natural resource management and innovation adoption proving that social learning occurred by providing evidence of both the socialcognitive and social-relational dimension. Our findings are relevant for the design of PM&E processes, agroecosystem Living Labs, and landscape restoration initiatives that aim to support farmers´ adoption and out-scaling of contextualized farming innovations and sustainable land management. We concluded that PM&E where the democratic involvement of participants is the bedrock of the whole research process and the needs and concerns of the farming community are taken as the basis for collaborative research represents a great opportunity to generate inclusive, engaging, efficient, and sound restoration processes and transitions towards sustainable and resilient agroecosystems

Soil networks become more connected and take up more carbon as nature restoration progresses

Soil organisms have an important role in aboveground community dynamics and ecosystem functioning in terrestrial ecosystems. However, most studies have considered soil biota as a black box or focussed on specific groups, whereas little is known about entire soil networks. Here we show that during the course of nature restoration on abandoned arable land a compositional shift in soil biota, preceded by tightening of the belowground networks, corresponds with enhanced efficiency of carbon uptake. In mid- and long-term abandoned field soil, carbon uptake by fungi increases without an increase in fungal biomass or shift in bacterial-to-fungal ratio. The implication of our findings is that during nature restoration the efficiency of nutrient cycling and carbon uptake can increase by a shift in fungal composition and/or fungal activity. Therefore, we propose that relationships between soil food web structure and carbon cycling in soils need to be reconsidered

Participatory selection of soil quality indicators for monitoring the impacts of regenerative agriculture on ecosystem services

Improving the understanding and fostering large-scale adoption of regenerative agriculture (RA) requires soil quality monitoring systems that integrate farmers’ and researchers’ knowledge. This is especially relevant for participatory impact assessment in semiarid areas prone to land degradation that typically respond slowly to management changes, often resulting in low RA adoption rates. We developed a framework for the identification and selection of local and technical soil quality indicators and for the development of a visual soil assessment tool, to participatory monitor the impacts of RA by farmers and researchers. We applied this framework in a large-scale restoration project in southeast Spain together with almond farmers implementing RA. Local indicators selected by farmers focused mostly on water regulation, erosion control, soil fertility, crop performance and main supporting, regulating and provisioning ecosystem services. Technical indicators selected by researchers focused mostly on soil properties including aggregate stability, soil nutrients, microbial biomass and activity, and leaf nutrients, covering crucial supporting services. The combination of indicators provided complementary information, improving the feasibility of RA impact assessment. This integrated soil quality monitoring system offers a practical tool to enhance knowledge exchange and mutual learning to support the implementation of RA and optimize the delivery of ecosystem services.This work was supported by ”la Caixa” Foundation (ID100010434) through a PhD fellowship to RLS (LCF/BQ/ES17/ 11600008), and by the DECADE and CAMBIO projects (Seneca Foundation, Regional Research Agency of Murcia, Spain, 20917/PI/18 and 18933/JLI/13) and ADAPT project (Ministry of Science and Innovation with FEDER cofounds, CGL2013-42009-R).Peer reviewe

Learning from farmers’ experiences with participatory monitoring and evaluation of regenerative agriculture based on visual soil assessment

Participatory action research involving farmers and researchers is crucial to enhance the adoption of farming innovations and ensure the long term sustainability of agroecosystem restoration. However, the factors for successful participatory research for agroecosystem restoration are not always clear and have been rarely evaluated from the perspective of the subjects from whom change is expected. Despite the increasing call for agroecosystem Living Labs, farmers are still seldom involved in structured and shared co-monitoring and co-evaluation of farming innovations as part of participatory monitoring programs. Therefore, we developed a participatory monitoring and evaluation project to evaluate the impacts of regenerative agriculture between farmers and researchers in the Mediterranean drylands of Spain. Here we present and evaluate the project outcomes by reporting farmers’ monitoring results using a co-developed visual soil assessment (VSA) manual, and by documenting farmers’ evaluation of the VSA and other key aspects of the participatory monitoring and evaluation in the third year since the beginning of the project. Farmers’ VSA results pointed out regenerative agriculture as a promising solution to restore degraded agroecosystems in Mediterranean drylands with insights that are complementary to the scientific monitoring. Farmers’ evaluation of the participatory monitoring process revealed the need to enhance farmers’ support for implementation of VSA tools in initial stages, and to include farmers in the design of VSA tools to adjust them to farmers’ priorities, possibilities and needs. Farmers highlighted the importance of the participatory monitoring and evaluation process to enhance knowledge exchange, learning, and capacity building regarding soil quality management to adapt and adopt regenerative agriculture. Our results confirm that including farmers in the design, decision-making and evaluation of research projects for agroecosystem restoration is imperative to enhance efficient, sound and inclusive transitions towards long term sustainable agroecosystems.This work was supported by “la Caixa” Foundation (ID100010434) through a PhD fellowship to RLS (LCF/BQ/ES17/11600008), and by the projects DECADE (Séneca Foundation, 20917/PI/18), and XTREME (Spanish Ministry of Science and Innovation PID 2019-109381RB-I00/AEI/10.13039/501100011033

Restoring soil quality of woody agroecosystems in Mediterranean drylands through regenerative agriculture

Regenerative agriculture (RA) is gaining increasing recognition as a plausible solution to restore degraded agroecosystems. In Mediterranean drylands, RA is at incipient state of development and has been limitedly adopted by farmers, partly due to the lack of empirical evidence on its impacts. To support its large-scale adoption, we carried out a participatory monitoring project in southeast Spain, involving local farmers applying different RA practices in 9 almond farms. To assess the effect of RA, in each farm we selected one field with regenerative management and one nearby field with conventional management based on frequent tillage (CT). We clustered fields under regenerative management based on the RA practices applied by farmers and distinguished 4 types of RA treatments: 1) reduced tillage with green manure (GM), 2) reduced tillage with organic amendments (OA), 3) reduced tillage with green manure and organic amendments (GM&OA), and 4) no tillage with permanent natural covers and organic amendments (NT&OA). We evaluated the impacts of RA compared to CT by comparing physical (bulk density and aggregate stability), chemical (pH, salinity, total N, P, K, available P, and exchangeable cations) and biological (SOC, POC, PON, microbial activity) properties of soil quality and the nutritional status of almond trees (leaf N, P and K). Our results show that GM improved soil physical properties, presenting higher soil aggregate stability. We found that OA improved most soil chemical and biological properties, showing higher contents of SOC, POC, PON, total N, K, P, available P, exchangeable cations and microbial respiration. RA treatments combining ground covers and organic amendments (GM&OA and NT&OA) exhibited greater overall soil quality restoration than individual practices. NT&OA stood out for presenting the highest soil quality improvements. All RA treatments maintained similar crop nutritional status compared to CT. We conclude that RA has strong potential to restore the physical, chemical and biological quality of soils of woody agroecosystems in Mediterranean drylands without compromising their nutritional status, thereby enhancing their resilience to climate change and long term sustainability.This work was supported by ”la Caixa” Foundation (ID100010434) through a PhD fellowship to RLS (LCF/BQ/ES17/11600008), and by the projects DECADE and CAMBIO (Seneca Foundation, 20917/PI/18 and 18933/JLI/13) and ADAPT (Ministry of Science and Innovation with FEDER cofounds, CGL2013-42009-R).Peer reviewe

Regenerative agriculture—agroecology without politics?

International audienc

Participatory monitoring and evaluation to enable social learning, adoption, and out-scaling of regenerative agriculture

The advanced state of land degradation worldwide urges the large-scale adoption of sustainable land management (SLM). Social learning is considered an important precondition for the adoption of innovative and contextualized SLM. Involving farmers and researchers in participatory monitoring and evaluation (PM&E) of innovative SLM such as regenerative agriculture is expected to enable social learning. Although there is a growing body of literature asserting the achievement of social learning through participatory processes, social learning has been loosely defined, sparsely assessed, and only partially covered when measured. Here, we assess how PM&E of regenerative agriculture, involving local farmers and researchers in southeast Spain, enabled social learning, effectively increasing knowledge exchange and shared understanding of regenerative agriculture effects among participating farmers. We measured whether social learning occurred by covering its social-cognitive (perceptions) and social-relational (social networks) dimensions, and discussed the potential of PM&E to foster SLM adoption and out-scaling. We used fuzzy cognitive mapping and social network analysis as graphical semiquantitative methods to assess changes in farmers¿ perceptions and shared fluxes of information on regenerative agriculture over approximately three years. Our results show that PM&E enabled social learning among participating farmers, who strengthened and enlarged their social networks for information sharing and presented a more complex and broader shared understanding of regenerative agriculture effects and benefits than pre PM&E. We argue that PM&E thereby creates crucial preconditions for SLM adoption and out-scaling. Our findings are relevant for the design of PM&E processes, living labs, and landscape restoration initiatives that aim to support farmers¿ adoption and out-scaling of innovative and contextualized SLM.This work was supported by “la Caixa” Foundation (ID100010434) through a PhD fellowship to RLS (LCF/BQ/ES17/11600008), and by the projects DECADE (Seneca Foundation, 20917/PI/18), XTREME (Ministry of Science and Innovation PID2019-109381RB-I00/AEI/10.13039/501100011033), and COASTAL (EU H2020 grant agreement 773782). For the Portuguese coauthors, this work was partially funded by National Funds through FCT - Foundation for Science and Technology under the Project UIDB/05183/202

Organic fertilization influences nematode diversity and maturity index in coffee tree plantations using an agroforestry system

In conventional coffee farming, soil fauna can be negatively affected by the intensive management practices adopted and the use of an agroforestry system (AFS) is an alternative to reduce these impacts. In coffee AFS, soil nutrition is provided mainly using organic fertilizers. This soil management favors the microbiota and can alter the population dynamics of some organisms. Our objective was to evaluate the effect of organic fertilizers on the nematode community in coffee AFS and to determine their impact on soil ecology. Soil samples were collected from three coffee AFS and a nearby Atlantic rainforest fragment. Nematodes were extracted from the samples and identified to the genus. The identified populations were compared using several community and diversity indices to determine the environmental conditions of the systems under evaluation. No differences in total abundance among nematode communities were found in the four areas evaluated. Regarding trophic groups, the coffee AFS treated with either cow manure or poultry litter favored the trophic group of bacterivores. Plant-parasitic nematodes were more abundant in soils of both the naturally fertilized coffee AFS and the Atlantic rainforest fragment. The maturity and structural indexes indicated that the Atlantic rainforest fragment and the naturally fertilized coffee AFS had similar ecological functions. On the other hand, soils fertilized with cow manure were less diverse, had higher dominance in the community, and showed less ecological stability. The nematode communities found in the AFS were similar to those seen in the forest fragment indicating that is possible to produce coffee sustainably without negatively affecting soil quality.Peer reviewe