Nested archetypes of vulnerability in African drylands: where lies potential for sustainable agricultural intensification?

Food production is key to achieving food security in the drylands of sub-Saharan Africa. Since agricultural productivity is limited, however, due to inherent agro-ecological constraints and land degradation, sustainable agricultural intensification has been widely discussed as an opportunity for improving food security and reducing vulnerability. Yet vulnerability determinants are distributed heterogeneously in the drylands of sub-Saharan Africa and sustainable intensification cannot be achieved everywhere in cost-effective and efficient ways. To better understand the heterogeneity of farming systems’ vulnerability in order to support decision making at regional scales, we present archetypes, i.e. socio-ecological patterns, of farming systems’ vulnerability in the drylands of sub-Saharan Africa and reveal their nestedness. We uantitatively indicated the most relevant farming systems’ properties at a sub-national resolution. These factors included water availability, agro-ecological potential, erosion sensitivity, population pressure, urbanisation, remoteness, governance, income and undernourishment. Cluster analysis revealed eight broad archetypes of vulnerability across all drylands of sub-Saharan Africa. The broad archetype representing better governance and highest remoteness in extremely dry and resource-constrained regions encompassed the largest area share (19%), mainly indicated in western Africa. Moreover, six nested archetypes were identified within those regions with better agropotential and prevalent agricultural livelihoods. Among these patterns, the nested archetype depicting regions with highest erosion sensitivity, severe undernourishment and lower agropotential represented the largest population (30%) and area (28%) share, mainly found in the Sahel region. The nested archetype indicating medium undernourishment, better governance and lowest erosion sensitivity showed particular potential for sustainable agricultural intensification, mainly in western and some parts of southeastern and eastern Africa. Insights into the nestedness of archetypes allowed a more differentiated discussion of vulnerability and sustainable intensification opportunities, enhancing the evaluation of key interlinkages between land management and food security. The archetypes may support the transfer of successful intensification strategies based on similarities among the drylands in sub-Saharan Africa.

[1]  Nicholas R. Magliocca,et al.  Synthesis in land change science: methodological patterns, challenges, and guidelines , 2014, Regional Environmental Change.

[2]  Helmut Haberl,et al.  Land system change and food security: towards multi-scale land system solutions , 2013, Current opinion in environmental sustainability.

[3]  Katharine Vincent,et al.  Uncertainty in adaptive capacity and the importance of scale , 2007 .

[4]  Till Sterzel,et al.  A new method for analysing socio-ecological patterns of vulnerability , 2015, Regional Environmental Change.

[5]  S. Robinson,et al.  Food Security: The Challenge of Feeding 9 Billion People , 2010, Science.

[6]  Hsing-Fun Hsu,et al.  Model for perianth formation in orchids , 2015, Nature Plants.

[7]  P. Lucas,et al.  Armed conflict distribution in global drylands through the lens of a typology of socio-ecological vulnerability , 2014, Regional Environmental Change.

[8]  X. Irz,et al.  Agricultural Productivity Growth and Poverty Alleviation , 2001 .

[9]  Kees Klein Goldewijk,et al.  Long-term dynamic modeling of global population and built-up area in a spatially explicit way: HYDE 3.1 , 2010 .

[10]  Diana SietzSabino,et al.  Typical patterns of smallholder vulnerability to weather extremes with regard to food security in the Peruvian Altiplano , 2012 .

[11]  J. Spangenberg,et al.  Investigating potential transferability of place-based research in land system science , 2016 .

[12]  Pablo Tittonell,et al.  Tailoring conservation agriculture technologies to West Africa semi-arid zones: Building on traditional local practices for soil restoration , 2012 .

[13]  Carsten Walther,et al.  Categorisation of typical vulnerability patterns in global drylands , 2011 .

[14]  Daniel A. Kaufmann,et al.  Governance Matters VI: Governance Indicators for 1996-2006 , 2007 .

[15]  D. Vuuren,et al.  Integrated Assessment of Global Environmental Change with IMAGE 3.0 : Model description and policy applications , 2014 .

[16]  Aart Kraay,et al.  Governance Matters VIII: Aggregate and Individual Governance Indicators, 1996-2008 , 2006 .

[17]  K. Giller,et al.  When yield gaps are poverty traps: The paradigm of ecological intensification in African smallholder agriculture , 2013 .

[18]  C. Reij,et al.  Analyzing successes in agriculture and land management in Sub-Saharan Africa: Is macro-level gloom obscuring positive micro-level change? , 2008 .

[19]  Helmut Haberl,et al.  Archetypical patterns and trajectories of land systems in Europe , 2018, Regional Environmental Change.

[20]  K. Giller,et al.  Resource flows, crops and soil fertility management in smallholder farming systems in semi‐arid Zimbabwe , 2009 .

[21]  Emma Archer,et al.  Dryland Systems , 2006 .

[22]  Otlogetswe Totolo,et al.  Prospects for subsistence livelihood and environmental sustainability along the Kalahari Transect: The case of Matsheng in Botswana's Kalahari rangelands , 2003 .

[23]  Marta M. Jankowska,et al.  A spatial analysis of population dynamics and climate change in Africa: potential vulnerability hot spots emerge where precipitation declines and demographic pressures coincide , 2014 .

[24]  Paul Kirshen,et al.  Opportunities and constraints for farmers of west Africa to use seasonal precipitation forecasts with Burkina Faso as a case study , 2002 .

[25]  Diana Sietz,et al.  Land-based adaptation to global change: what drives soil and water conservation in Western Africa? , 2015 .

[26]  J. Alcamo,et al.  Global modeling and scenario analysis for the World Commission on Water for the 21st Century , 2017 .

[27]  Lindsay C. Stringer,et al.  Research, part of a Special Feature on Resilience and Vulnerability of Arid and Semi-Arid Social Ecological Systems Resilient or Vulnerable Livelihoods? Assessing Livelihood Dynamics and Trajectories in Rural Botswana , 2010 .

[28]  Till Sterzel,et al.  PIK Report No . 127 FOR POTSDAM INSTITUTE CLIMATE IMPACT RESEARCH ( PIK ) UNDERSTANDING CHANGE IN PATTERNS OF VULNERABILITY , 2014 .

[29]  Anne M. Riederer,et al.  The Livelihood Vulnerability Index: A pragmatic approach to assessing risks from climate variability and change—A case study in Mozambique , 2009 .

[30]  E. Lambin,et al.  The emergence of land change science for global environmental change and sustainability , 2007, Proceedings of the National Academy of Sciences.

[31]  Alexander Gorobets,et al.  Vulnerability of People and the Environment : Challenges and Opportunities , 2007 .

[32]  Ricardo Fraiman,et al.  Selection of Variables for Cluster Analysis and Classification Rules , 2006, math/0610757.

[33]  R. Scholes,et al.  Ecosystems and human well-being: current state and trends , 2005 .

[34]  S. Vermeulen,et al.  Farmers, food and climate change: ensuring community-based adaptation is mainstreamed into agricultural programmes , 2014 .

[35]  S. Wuehler,et al.  Situational analysis of infant and young child nutrition policies and programmatic activities in the Islamic Republic of Mauritania. , 2011, Maternal & child nutrition.

[36]  Nisar Majid,et al.  The livelihoods gap: responding to the economic dynamics of vulnerability in Somalia. , 2002, Disasters.

[37]  Karen C. Seto,et al.  Meta-studies in land use science: Current coverage and prospects , 2015, Ambio.

[38]  T. Downing,et al.  Global Desertification: Building a Science for Dryland Development , 2007, Science.

[39]  Peter Messerli,et al.  Sustainable livelihoods in the global land rush? Archetypes of livelihood vulnerability and sustainability potentials. Keynote presentation. , 2016 .

[40]  Wolfgang Lucht,et al.  Integrated crop water management might sustainably halve the global food gap , 2016 .

[41]  W. Sutherland,et al.  Reaping the Benefits: Science and the sustainable intensification of global agriculture , 2009 .

[42]  T. S. Amjath-Babu,et al.  Transitioning to groundwater irrigated intensified agriculture in Sub-Saharan Africa: An indicator based assessment , 2016 .

[43]  Piotr Magnuszewski,et al.  Research, part of a Special Feature on Resilience and Vulnerability of Arid and Semi-Arid Social Ecological Systems Rebuilding Resilience in the Sahel: Regreening in the Maradi and Zinder Regions of Niger , 2011 .

[44]  H. J. Schellnhuber,et al.  Smallholder agriculture in Northeast Brazil: assessing heterogeneous human-environmental dynamics , 2006 .

[45]  J. Pretty,et al.  Sustainable intensification in African agriculture , 2011 .

[46]  Diana Sietz,et al.  Mainstreaming climate adaptation into development assistance: rationale, institutional barriers and opportunities in Mozambique , 2011 .

[47]  Ralf Seppelt,et al.  Mapping global land system archetypes , 2013 .

[48]  Pedro A Sanchez,et al.  En route to plentiful food production in Africa , 2015, Nature Plants.

[49]  Zafar Adeel,et al.  Development paths of drylands: thresholds and sustainability , 2008 .

[50]  Diana Sietz,et al.  Regionalisation of global insights into dryland vulnerability: Better reflecting smallholders' vulnerability in Northeast Brazil , 2014 .

[51]  L. Hein,et al.  Desertification in the Sahel: a reinterpretation , 2006 .

[52]  B. Kiteme,et al.  Droughts and famines: The underlying factors and the causal links among agro-pastoral households in semi-arid Makueni district, Kenya , 2008 .

[53]  D. Dokken,et al.  Climate change 2001 , 2001 .

[54]  Helmut Haberl,et al.  The global loss of net primary production resulting from human-induced soil degradation in drylands , 2008 .

[55]  Fergus L. Sinclair,et al.  Scaling up agroforestry requires research ‘in’ rather than ‘for’ development , 2014 .

[56]  S. Vanek,et al.  Sustainable smallholder intensification in global change? Pivotal spatial interactions, gendered livelihoods, and agrobiodiversity , 2015 .

[57]  P. Tittonell Ecological intensification of agriculture — sustainable by nature , 2014 .

[58]  R. Leemans,et al.  Modelling land degradation in IMAGE 2 , 2001 .

[59]  C. J. Klapwijk,et al.  WHICH OPTIONS FIT BEST? OPERATIONALIZING THE SOCIO-ECOLOGICAL NICHE CONCEPT , 2016, Experimental Agriculture.