Buffer capacity: capturing a dimension of resilience to climate change in African smallholder agriculture

Building resilience to climate change in agricultural production can ensure the functioning of agricultural-based livelihoods and reduce their vulnerability to climate change impacts. This paper thus explores how buffer capacity, a characteristic feature of resilience, can be conceptualised and used for assessing the resilience of smallholder agriculture to climate change. It uses the case of conservation agriculture farmers in a Kenyan region and examines how their practices contribute to buffer capacity. Surveys were used to collect data from 41 purposely selected conservation agriculture farmers in the Laikipia region of Kenya. Besides descriptive statistics, factor analysis was used to identify the key dimensions that characterise buffer capacity in the study context. The cluster of practices characterising buffer capacity in conservation agriculture include soil protection, adapted crops, intensification/irrigation, mechanisation and livelihood diversification. Various conservation practices increase buffer capacity, evaluated by farmers in economic, social, ecological and other dimensions. Through conservation agriculture, most farmers improved their productivity and incomes despite drought, improved their environment and social relations. Better-off farmers also reduced their need for labour, but this resulted in lesser income-earning opportunities for the poorer farmers, thus reducing the buffer capacity and resilience of the latte

Making climate information useable for forest-based climate change interventions in South Africa

Understanding knowledge systems, that is the combination of agents, practices, and institutions that organize the production, transfer, and use of knowledge and their role in making climate information useable for forest-based climate responses, is critical for building resilience to climate change. This study used the concept of a knowledge system to examine how organizational collaboration, in the processes of forecast translation, influences the production of useable information in forest-based climate change interventions in South Africa. Twenty-two key informant interviews were conducted with actors in the fields of climate change and forestry. Results reveal that carbon sequestration and landscape management are the dominant forest-based climate interventions. Consequently, the information translated from the forecasts is tailored towards facilitating the implementation of these two interventions. Network analysis reveals that actors in the categories of small-scale forest companies and community-based enterprises are less integrated into the process of information production. A concerted effort towards the meaningful integration of all categories of actors in the process of information production, as well as the production of information that encourages the implementation of other types of forest-based climate change interventions such as forest bioenergy, is thus recommended

Key dimensions of land users’ perceptions of land degradation and sustainable land management in Niger State, Nigeria

Declining land productivity remains a challenge for agriculture-based livelihoods and for achieving food security. Yet identifying how land users perceive land degradation and their capacity to manage land in an environmentally sustainable manner can influence the measures initiated to address it. Using the case of Niger State, Nigeria, this study examines land users’ perceptions of land degradation and land management measures to address it in the Nigerian Guinea Savannah. We used the Moderate-resolution Imaging Spectroradiometer derived Normalized Difference Vegetation Index as a proxy for degradation status, selecting 30 communities based on the extent of degraded areas. We adapted the World Overview of Conservation Approaches and Technologies, Sustainable Land Management questionnaires to capture perceptions and administered 225 questionnaires to land users. Through key informant interviews, we collected narrative insights and data on perspectives and motivations of land users to understand land degradation situations and to interpret the questionnaire surveys. We analysed data through descriptive statistics, Principal Component Analysis and qualitative analysis. Our analysis identified four perceptions dimensions of land degradation characteristics, two perceptions dimensions of land degradation drivers, and six perceptions dimensions of sustainable land management. The results also confirmed that degradation in Niger State is both due to widespread unsustainable human activities within Niger state and those by migrant farmers and pastoralism from adjoining Sudan Sahelian states that push people further south, a leakage of ongoing land degradation and conflicts in other areas. To deal with local land degradation in Niger State, improved land tenure, alternative livelihood strategies, poverty eradication and awareness, nature-based sustainable land management practices such as tree-based initiatives, environmentally friendly agriculture such as Farmer Managed Natural Regeneration supported by the necessary political will and institutions are critical

Increasing signs of forest fragmentation in the Cross River National Park in Nigeria: Underlying drivers and need for sustainable responses

Protected areas are expectedly intact habitats for biodiversity and key for ecosystem conservation. However, where inadequately protected, human-induced forest fragmentation can degrade them and reduce their functioning. Therefore, monitoring forests in protected areas is essential to ascertain their protection. This paper assesses forest fragmentation in the Cross River National Park, a biodiversity hotspot in the tropical rainforest of Nigeria. Forest fragmentation was analyzed using the Driver-Pressure-State-Impact-Response framework. Fragmentation analysis of the State used class-level pattern metrics on Landsat and Sentinel images from the years 2000, 2015 and 2020. Forest fragmentation has reduced total forest area, decreased average size of forest patches, increased the number of forest patches and amount of edge. Only the isolation of forest patches has not yet reached a measurable intensity. However, spatio-temporal forest fragmentation over the years 2000, 2015 and 2020 indicates a rising trend, especially between 2015 and 2020. The Drivers, Pressures, Impacts and Responses were investigated through a systematic literature review. Many studies show that the main proximate Drivers of forest fragmentation are agricultural activities mainly by the local communities, demand for forest resources by the growing population, and by external actors through illegal logging and infrastructure building, which have increased. However, wider literature highlight issues of disproportionately blaming local resource users, and the need to examine the neglect of justice, rights and local values, and their implications for sustainable protected areas. Reported Impacts include hindered migration of the endangered Cross River gorilla and impaired ecosystem services like water cycling, carbon sequestration and disease regulation. Responses have generally excluded the local communities, have failed or are yet to become effective. There is thus a need to identify, together with the involved actors, why measures have failed and to implement more sustainable options to reduce fragmentation in the park while addressing local users’ needs

Archetypes of remnant West African forest patches, their main characteristics and geographical distribution

Remnant West African forest patches provide crucial ecosystem functions and services while contributing to sustaining the livelihoods of vast numbers of people. The vast majority lie outside of protected areas, although relatively few are managed as sacred forests, which limits their access and use. This lack of protection, together with a growing demand for arable land and forest resources, have accentuated their fragmentation, degradation, and deforestation. There is therefore an urgent need to generate knowledge on their social-ecological characteristics and change pressures to support their conservation. This study investigates what are i) the main biophysical and social-ecological characteristics of remnant forest patches, and ii) the potential change pressures and drivers. Within this scope, we apply archetype analysis to discern processes affecting remnant forest patches. Biophysical and socio-ecological indicators were selected from a published dataset via expert consultation, and nine archetypes were developed by applying a cluster analysis. Evaluating the results in relation to ecoregions and landscape features using high resolution imagery, we identify common underlying social-ecological change pressures and characteristics. The most common archetype (2) is characterized by being close to protected areas and having a low average annual precipitation and cluster along the northern fringe of the study area. The second most common archetype (5) is characterized by lying in highly disturbed landscapes, having undergone biomass losses, and widely distributed throughout central and western Nigeria. Patches of archetype 8 found predominantly in mangrove and swamp forests, exhibit positive above-ground biomass changes and greening trends; we propose that these vegetation changes could benefit conservation measures and carbon sequestration programs. In contrast, archetype 10 patches show both forest and biomass losses and gains and are often encompass fragmented forests in urban/arable landscapes. Identifying such common patterns of anthropogenic and ecological change provides a means of prioritizing regionalized strategies for their conservation and sustainable use

Indigenous knowledge related to climate variability and change: insights from droughts in semi-arid areas of former Makueni District, Kenya

This article describes the indigenous knowledge (IK) that agro-pastoralists in larger Makueni District, Kenya hold and how they use it to monitor, mitigate and adapt to drought. It examines ways of integrating IK into formal monitoring, how to enhance its value and acceptability. Data was collected through target interviews, group discussions and questionnaires covering 127 households in eight villages. Daily rainfall data from 1961-2003 were analysed. Results show that agro-pastoralists hold IK on indicators of rainfall variability; they believe in IK efficacy and they rely on them. Because agro-pastoralists consult additional sources, the authors interpret that IK forms a basic knowledge frame within which agro-pastoralists position and interpret meteorological forecasts. Only a few agro-pastoralists adapt their practices in anticipation of IK-based forecasts partly due to the conditioning of the actors to the high rainfall variability characteristic of the area and partly due to lack of resources. Non-drought factors such as poverty, inadequate resources and lack of preparedness expose agro-pastoralists to drought impacts and limit their adaptive capacity. These factors need to be understood and effectively addressed to increase agro-pastoralists' decision options and the influence of IK-based forecasts on their decision-making patterns. The limited intergenerational transfer of IK currently threatens its existence in the longer term. One way to ensure its continued existence and use is to integrate IK into the education curriculum and to link IK with formal climate change research through the participation of the local people. However, further studies are necessary to address the reliability and validity of the identified IK indicators of climate variability and chang

Smallholder livelihood resilience to climate variability in South-Eastern Kenya, 2012–2015

Climate change, land degradation, demographic change and persistent poverty pose major challenges to smallholder farmers in the arid and semi-arid lands of sub-Saharan Africa. Though many studies have focused on how resilient these households are to shocks, very few studies deal with how household resilience varies over time. We provide a longitudinal analysis to assess how the resilience of smallholder households in south-eastern Kenya has varied from 2012 to 2015. We use the Livelihood Resilience Indicator Framework to examine the linkages between livelihood outcomes and livelihood resilience (buffer capacity, self-organization and capacity for learning). We collected data from 134 households on three resilience dimensions: buffer capacity, self-organization, and capacity for learning. We performed principal component analysis to identify the key components of these dimensions and examine their relevance for livelihood outcomes. Our findings show that under drought conditions in 2012, conservation agriculture practices significantly contributed to maize yields. In both years 2012 and 2015, there was a positive correlation between resilience dimensions and food security. Key components of this relation were land area, income, conservation agriculture practices, climate forecasts and actions taken for the upcoming growing season