8 research outputs found

    Varietal Adoption, Outcomes and Impact

    Get PDF
    Parallel to the preceding chapter, we synthesize the results of Chapters 6–17 here. The focus is on outcomes and impacts. Outcomes centre on varietal adoption and turnover; impacts refer to changes in on-farm productivity, poverty and food security. Hypotheses from Chapter 3 are revisited at the end of each thematic section..

    Bean production areas in sub-Saharan Africa

    No full text
    176 bean production areas were identified and reviewed using a form of the Delphi method of consensus building among experts from almost all bean producing countries of sub-Saharan Africa. Data were collected for: bean production, cropping systems and producers; seed systems; bean use and marketing; bean grain types and varieties; and abiotic and biotic constraints to bean production and storage. Data on harvested area and production were compiled from a variety of sources and allocated among bean production areas using local expert knowledge and/or sub-national statistics. Bean environments were computed and allocated to each bean production area. The dataset includes raw data from each workshop; for some variables the data were later standardised to ensure that the cumulative values were 100%. We recommend using the standardised data. (2019-11-27

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

    Get PDF
    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

    Get PDF
    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

    Common Bean variety releases in Africa

    No full text
    The Pan Africa Bean Research Alliance is a network of national agricultural research centers (NARS), and private and public sector institutions that work to deliver better beans with consumer and market preferred traits to farmers. The datasets presented here draw from 17 Sub Saharan countries that are members of PABRA. The dataset on released bean varieties is a collection of 357 bean varieties released by NARS and there characteristics. The dataset on bean varieties and the relationship to constraints provides the 357 bean varieties on the basis of resistance to constraints such as fungal, bacterial, viral, diseases and tolerance to abiotic stresses. There is also a dataset of bean varieties that have been released in more than one country, useful for moving seed from one country to another and facilitating regional trade. The dataset on Niche market traits provides the market defined classifications for bean trade in Sub Saharan Africa as well as varieties that fall into these classifications. The datasets are an update to the 2011 discussion on PABRAs achievement in breeding and delivery of bean varieties in Buruchara et. 2011 in pages 236 and 237 here: http://www.ajol.info/index.php/acsj/article/view/74168 . It is also an update to a follow up to this discussion in Muthoni, R. A., Andrade, R. 2015 on the performance of bean improvement programmes in sub-Saharan Africa from the perspectives of varietal output and adoption in chapter 8. here: http://dx.doi.org/10.1079/9781780644011.0148. The data is extracted from the PABRA M&E database available here ( http://database.pabra-africa.org/?location=breeding)

    Common Bean variety releases in Africa

    No full text
    The Pan Africa Bean Research Alliance is a network of national agricultural research centers (NARS), and private and public sector institutions that work to deliver better beans with consumer and market preferred traits to farmers. The datasets presented here draw from 17 Sub Saharan countries that are members of PABRA. The dataset on released bean varieties is a collection of 513 bean varieties released by NARS and there characteristics. The dataset on bean varieties and the relationship to constraints provides the 513 bean varieties on the basis of resistance to constraints such as fungal, bacterial, viral, diseases and tolerance to abiotic stresses. There is also a dataset of bean varieties that have been released in more than one country, useful for moving seed from one country to another and facilitating regional trade. The dataset on Niche market traits provides the market defined classifications for bean trade in Sub Saharan Africa as well as varieties that fall into these classifications. The datasets are an update to the 2011 discussion on PABRAs achievement in breeding and delivery of bean varieties in Buruchara et. 2011 in pages 236 and 237 here: http://www.ajol.info/index.php/acsj/article/view/74168 . It is also an update to a follow up to this discussion in Muthoni, R. A., Andrade, R. 2015 on the performance of bean improvement programmes in sub-Saharan Africa from the perspectives of varietal output and adoption in chapter 8. here: http://dx.doi.org/10.1079/9781780644011.0148. The data is extracted from the PABRA M&E database available here (http://database.pabra-africa.org/?location=breeding)
    corecore