Abstract

Abstract. Cocoa agroecosystems are a major land-use type in the tropical rainforest belt of West Africa, reportedly associated with several ecological changes, including soil degradation. This study aims to develop a composite soil degradation assessment index (CSDI) for determining the degradation level of cocoa soils under smallholder agroecosystems of southwestern Nigeria. Plots where natural forests have been converted to cocoa agroecosystems of ages 1–10, 11–40, and 41–80 years, respectively representing young cocoa plantations (YCPs), mature cocoa plantations (MCPs), and senescent cocoa plantations (SCPs), were identified to represent the biological cycle of the cocoa tree. Soil samples were collected at a depth of 0 to 20 cm in each plot and analysed in terms of their physical, chemical, and biological properties. Factor analysis of soil data revealed four major interacting soil degradation processes: decline in soil nutrients, loss of soil organic matter, increase in soil acidity, and the breakdown of soil textural characteristics over time. These processes were represented by eight soil properties (extractable zinc, silt, soil organic matter (SOM), cation exchange capacity (CEC), available phosphorus, total porosity, pH, and clay content). These soil properties were subjected to forward stepwise discriminant analysis (STEPDA), and the result showed that four soil properties (extractable zinc, cation exchange capacity, SOM, and clay content) are the most useful in separating the studied soils into YCP, MCP, and SCP. In this way, we have sufficiently eliminated redundancy in the final selection of soil degradation indicators. Based on these four soil parameters, a CSDI was developed and used to classify selected cocoa soils into three different classes of degradation. The results revealed that 65 % of the selected cocoa farms are moderately degraded, while 18 % have a high degradation status. The numerical value of the CSDI as an objective index of soil degradation under cocoa agroecosystems was statistically validated. The results of this study reveal that soil management should promote activities that help to increase organic matter and reduce Zn deficiency over the cocoa growth cycle. Finally, the newly developed CSDI can provide an early warning of soil degradation processes and help farmers and extension officers to implement rehabilitation practices on degraded cocoa soils.

Highlights

  • Healthy soil is vital to successful agriculture and global food security (Virto et al, 2014; Lal, 2015)

  • Our goals are to (i) identify the most important soil degradation processes, (ii) select a minimum data set (MDS) of soil degradation indicators using multivariate statistical techniques, (iii) integrate the MDS into a composite soil degradation assessment index (CSDI), and (iv) statistically validate the CSDI and evaluate to what extent the CSDI can be used as a tool by researchers, farmers, agricultural extension officers, and government agencies involved in rehabilitating degraded cocoa soils in southwestern Nigeria

  • We developed a composite soil degradation index to cost-effectively assess the status of soil degradation under cocoa agroecosystems

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Summary

Introduction

Healthy soil is vital to successful agriculture and global food security (Virto et al, 2014; Lal, 2015). Adeniyi et al.: Development of a composite soil degradation assessment index ported that 500 Mha of land in the tropics (Lal, 2015), and more than 3500 Mha of global land area (Karlen and Rice, 2015), is currently affected by soil degradation, with serious implications for food security and the likelihood of malnutrition, ethnic conflict, and civil unrest (Lal, 2009). In response to these problems, an increasing interest in soil degradation has been observed among researchers and policymakers (Scherr, 1999; Lal, 2001; Bindraban et al, 2012; Baumhardt et al, 2015; Lal, 2015; Krasilnikov et al, 2016; Nezomba et al, 2017)

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