Agroforestry in Madagascar: past, present, and future

Agroforestry systems promise a high multifunctionality providing cash and subsistence yields as well as other ecosystem services. Such land systems may be particularly promising for smallholders in tropical landscapes due to high labour intensity and productivity on limited land. Focusing on Madagascar, we here describe the history of agroforestry in the country and review the current literature on agroforestry outcomes as well as factors promoting and hindering agroforest establishment and maintenance. From this, we discuss the potential future of agroforestry in Madagascar. Historically, many crops farmed today in agroforestry systems were originally introduced as plantation crops, mostly in the nineteenth century. Since then, people co-opted these crops into mixed agroforestry systems, often focusing on clove, vanilla, coffee, or cocoa in combination with fruit trees or, for clove, with livestock. Other crops are also integrated, but shares are comparatively low. Overall, 27.4% of Malagasy exports are crops typically farmed in agroforestry systems, providing income for at least 500,000 farmers. Outcomes of agroforestry for biodiversity and ecosystem services are commonly researched, showing benefits over annual crops and monocultures. Social-economic outcomes, including yields, are more scarcely researched, but findings point towards financial benefits for smallholder farmers and a sense of community and collective memory. However, findings emphasize that research gaps remain in terms of geographic and crop coverage, also for ecological outcomes. Looking to the future, we highlight the need to overcome hurdles such as land tenure insecurity, financial barriers to implementation, and unstable value chains to scale agroforestry in Madagascar to the benefit of multifunctional land systems and human wellbeing

How context affects transdisciplinary research: insights from Asia, Africa and Latin America

Transdisciplinary research (TDR) has been developed to generate knowledge that effectively fosters the capabilities of various societal actors to realize sustainability transformations. The development of TDR theories, principles, and methods has been largely governed by researchers from the global North and has reflected their contextual conditions. To enable more contextsensitive TDR framing, we sought to identify which contextual characteristics affect the design and implementation of TDR in six case studies in Asia, Latin America, and Africa, and what this means for TDR as a scientific approach. To this end, we distinguished four TDR process elements and identified several associated context dimensions that appeared to influence them. Our analysis showed that contextual characteristics prevalent in many Southern research sites—such as highly volatile socio-political situations and relatively weak support infrastructure—can make TDR a challenging endeavour. However, we also observed a high degree of variation in the contextual characteristics of our sites in the global South, including regarding group deliberation, research freedom, and dominant perceptions of the appropriate relationship between science, society, and policy. We argue that TDR in these contexts requires pragmatic adaptations as well as more fundamental reflection on underlying epistemological concepts around what it means to conduct “good science”, as certain contextual characteristics may influence core epistemological values of TDR

A serious game to parameterize Bayesian networks: Validation in a case study in northeastern Madagascar

The management of multi-use landscapes is challenging, but essential when aiming at preserving the potential for ecosystem service provision. Land-use decisions lay at the center of this challenge. While land-use decision models may help to transparently grasp land-use decisions, the parameterization of such models is difficult as human decision-making is often not rational. We show here how we used a serious game to parameterize a Bayesian network-based land-use decision model. To elicit validation, game outputs are transformed to condi-tional probabilities and compared to conditional probabilities parameterized via a questionnaire and workshop exercises. The analysis of four types of validity shows encouraging results for criterion, respondent-related and practice-related validation. However, content validation (sensitivity analysis) was disappointing initially. We discuss how the success in validation quality may be related to the design of the game and conclude that the transfer from a game to Bayesian networks could improve the parameterization quality

Assessing farmers’ income vulnerability to vanilla and clove export economies in northeastern Madagascar using land-use change modelling

Using a participatory Bayesian network-based land-use decision model, we simulate future land-use patterns under various scenarios, including changes in vanilla and clove market prices as well as changes in irrigation water availability and potential harvest failures. Findings indicate that specifically the vanilla value chain (compared to the clove value chain) has a major influence on farmers income vulnerability. Abandoning vanilla cultivation may lead to poverty once income from vanilla reaches a certain threshold. By comparing farmer’s income gains from cash crop production with costs for buying rice to cover basic needs, we show that while focusing on cash crop production is more lucrative, it is, however, highly risky with regard to climate change, price volatility and possible crop thefts. Such lock-in-effects in cash crops, like the vanilla ones in northeastern Madagascar, are essential to be considered, when designing policies for a more sustainable development of resource-rich but poverty-prone regions

Participatory Bayesian network modeling to understand driving factors of land-use change decisions: insights from two case studies in northeast Madagascar

ISSN:1747-4248ISSN:1747-423

Year-to-year ecosystem services supply in conservation contexts in north-eastern Madagascar: Trade-offs between global demands and local needs

Tropical mountain forest frontier landscapes are increasingly target of protected areas (PAs) implementation, in many cases to secure the supply of globally demanded ecosystem services (ES). However, whether PAs manage to achieve their objectives is not always clear, nor are the implications of PA establishment for the supply of ES relevant for local populations. To address these knowledge gaps, we assess the year-to-year supply of six stakeholder-relevant ES across ES categories in two forest frontier, mountainous landscapes in the periphery of PAs in north-eastern Madagascar. As ES most relevant to local populations, we assess food crops production, flood control and bequest value. As globally-demanded ES, we evaluate export cash crops production, global climate regulation and existence value. Our results suggest that PA implementation managed to stem on-going losses of global climate regulation and existence value, but at the expense of also driving decreases in food crops production and bequest value supply to local populations. While our findings are encouraging for global conservation objectives, they also highlight the stark costs local populations might incur under PA establishment, and thus the need to assure that local livelihoods and well-being, including cultural dimensions, are not undermined by conservation interventions

Global shocks, cascading disruptions, and (re-)connections : viewing the COVID-19 pandemic as concurrent natural experiments to understand land system dynamics

Context: For nearly three years, the COVID-19 pandemic has disrupted human well-being and livelihoods, communities, and economies in myriad ways with consequences for social-ecological systems across the planet. The pandemic represents a global shock in multiple dimensions that has already, and is likely to continue to have, far-reaching effects on land systems and on those depending on them for their livelihoods. Objectives: We focus on the observed effects of the pandemic on landscapes and people composing diverse land systems across the globe. Methods: We highlight the interrelated impacts of the pandemic shock on the economic, health, and mobility dimensions of land systems using six vignettes from different land systems on four continents, analyzed through the lens of socio-ecological resilience and the telecoupling framework. We present preliminary comparative insights gathered through interviews, surveys, key informants, and authors' observations and propose new research avenues for land system scientists. Results: The pandemic's effects have been unevenly distributed, context-specific, and dependent on the multiple connections that link land systems across the globe. Conclusions: We argue that the pandemic presents concurrent "natural experiments" that can advance our understanding of the intricate ways in which global shocks produce direct, indirect, and spillover effects on local and regional landscapes and land systems. These propagating shock effects disrupt existing connections, forge new connections, and re-establish former connections between peoples, landscapes, and land systems

Global shocks, cascading disruptions, and (re-)connections: viewing the COVID-19 pandemic as concurrent natural experiments to understand land system dynamics

Context For nearly three years, the COVID-19 pandemic has disrupted human well-being and livelihoods, communities, and economies in myriad ways with consequences for social-ecological systems across the planet. The pandemic represents a global shock in multiple dimensions that has already, and is likely to continue to have, far-reaching effects on land systems and on those depending on them for their livelihoods. Objectives We focus on the observed effects of the pandemic on landscapes and people composing diverse land systems across the globe. Methods We highlight the interrelated impacts of the pandemic shock on the economic, health, and mobility dimensions of land systems using six vignettes from different land systems on four continents, analyzed through the lens of socio- ecological resilience and the telecoupling framework. We present preliminary comparative insights gathered through interviews, surveys, key informants, and authors’ observations and propose new research avenues for land system scientists. Results The pandemic’s effects have been unevenly distributed, context-specific, and dependent on the multiple connections that link land systems across the globe. Conclusions We argue that the pandemic presents concurrent “natural experiments” that can advance our understanding of the intricate ways in which global shocks produce direct, indirect, and spillover effects on local and regional landscapes and land systems. These propagating shock effects disrupt existing connections, forge new connections, and re-establish former connections

How context affects transdisciplinary research: insights from Asia, Africa and Latin America

Transdisciplinary research (TDR) has been developed to generate knowledge that effectively fosters the capabilities of various societal actors to realize sustainability transformations. The development of TDR theories, principles, and methods has been largely governed by researchers from the global North and has reflected their contextual conditions. To enable more context-sensitive TDR framing, we sought to identify which contextual characteristics affect the design and implementation of TDR in six case studies in Asia, Latin America, and Africa, and what this means for TDR as a scientific approach. To this end, we distinguished four TDR process elements and identified several associated context dimensions that appeared to influence them. Our analysis showed that contextual characteristics prevalent in many Southern research sites—such as highly volatile socio-political situations and relatively weak support infrastructure—can make TDR a challenging endeavour. However, we also observed a high degree of variation in the contextual characteristics of our sites in the global South, including regarding group deliberation, research freedom, and dominant perceptions of the appropriate relationship between science, society, and policy. We argue that TDR in these contexts requires pragmatic adaptations as well as more fundamental reflection on underlying epistemological concepts around what it means to conduct “good science”, as certain contextual characteristics may influence core epistemological values of TDR.ISSN:1862-4065ISSN:1862-405