TY - JOUR

T1 - Farmers' knowledge of soil quality indicators along a land degradation gradient in Rwanda

AU - Pagella, Tim

AU - Kuria, Anne

AU - Sinclair, Fergus

AU - Barrios, Edmundo

AU - Muthuri, Catherine W

AU - Mukuralinda, Athanase

N1 - This work was supported and funded by the Australian International Food Security Centre (ACIAR) through the Trees for Food Security Project, grant number FSC/2012/014 and CGIAR research program on Forest, Trees and Agroforestry (FTA).

PY - 2019/3/1

Y1 - 2019/3/1

N2 - The growing need to intensify smallholder farming systems to enhance food security for a rapidly growing population in sub-Saharan Africa constitutes a major sustainability challenge. Intensification of agriculture has often resulted in degraded, highly vulnerable, exhausted and unproductive soils. Even though smallholder farming systems are heterogeneous and dynamic, conventional approaches to improving soil management have focused on promoting one or two technologies, informed by coarse-resolution assessments, rather than tailoring technologies to context. This has resulted in technologies that have been promoted not being locally adapted. The research reported here explores the extent to which farmers' indicators of soil quality vary with land degradation status and gender and can be used in selecting locally appropriate land restoration practices. Knowledge was elicited from 150 smallholder farmers across a land degradation gradient in Rwanda through combined use of a systematic knowledge-based systems approach (AKT5), and a participatory knowledge sharing method for indicators of soil quality (InPaC-S). Data were analysed using R software through frequency statistics, ‘ggplot’-generated bar plots and Chi-square tests of independence. Farmers described 12 indicators of soil quality with a mean of five per farmer. The four most frequently mentioned were: soil colour (96%), indicator plants (90%), crop vigour (71%) and soil texture (67%). Farmers' knowledge about 10 out of 12 indicators varied with land degradation status (p < .05), and there were other variations according to location of fields along slopes, and gender. Farmers had knowledge of 51 indicator plants and 22 soil macrofaunal species and mentioned seven soil management practices, including: compost manure (83% of farmers), livestock manure (64%) and tree biomass incorporation (54%). There were variations in the practices by degradation status, slope location and gender. These variations revealed the importance of matching management options to ecological context and farmer circumstances to foster adoption. There were relationships between farmers' knowledge of indicators of soil quality and their soil management practices. This research has shown that acquiring farmers' knowledge about soils can help to identify fine-scale contextual differences useful for informing the design of soil management options and it is recommended that this is done in future so that appropriate options can be offered to different farmers making them more likely to be adopted.

AB - The growing need to intensify smallholder farming systems to enhance food security for a rapidly growing population in sub-Saharan Africa constitutes a major sustainability challenge. Intensification of agriculture has often resulted in degraded, highly vulnerable, exhausted and unproductive soils. Even though smallholder farming systems are heterogeneous and dynamic, conventional approaches to improving soil management have focused on promoting one or two technologies, informed by coarse-resolution assessments, rather than tailoring technologies to context. This has resulted in technologies that have been promoted not being locally adapted. The research reported here explores the extent to which farmers' indicators of soil quality vary with land degradation status and gender and can be used in selecting locally appropriate land restoration practices. Knowledge was elicited from 150 smallholder farmers across a land degradation gradient in Rwanda through combined use of a systematic knowledge-based systems approach (AKT5), and a participatory knowledge sharing method for indicators of soil quality (InPaC-S). Data were analysed using R software through frequency statistics, ‘ggplot’-generated bar plots and Chi-square tests of independence. Farmers described 12 indicators of soil quality with a mean of five per farmer. The four most frequently mentioned were: soil colour (96%), indicator plants (90%), crop vigour (71%) and soil texture (67%). Farmers' knowledge about 10 out of 12 indicators varied with land degradation status (p < .05), and there were other variations according to location of fields along slopes, and gender. Farmers had knowledge of 51 indicator plants and 22 soil macrofaunal species and mentioned seven soil management practices, including: compost manure (83% of farmers), livestock manure (64%) and tree biomass incorporation (54%). There were variations in the practices by degradation status, slope location and gender. These variations revealed the importance of matching management options to ecological context and farmer circumstances to foster adoption. There were relationships between farmers' knowledge of indicators of soil quality and their soil management practices. This research has shown that acquiring farmers' knowledge about soils can help to identify fine-scale contextual differences useful for informing the design of soil management options and it is recommended that this is done in future so that appropriate options can be offered to different farmers making them more likely to be adopted.

KW - Alisols

KW - Andosots

KW - Degradation

KW - Management

KW - Soil quality

KW - farmers' knowledge

U2 - 10.1016/j.geodrs.2018.e00199

DO - 10.1016/j.geodrs.2018.e00199

M3 - Article

VL - 16

JO - Geoderma Regional

JF - Geoderma Regional

SN - 2352-0094

M1 - e00199

ER -