Soil data for yield gap assessment and soil suitability index for sustainable intensification

Providing food and water security for a population expected to exceed 9 billion by 2050 while conserving natural resources requires achieving high yields on every hectare of currently used arable land suitable for intensification. This is especially relevant for sub-Saharan Africa (SSA), where, unli...

Full description

Bibliographic Details
Main Authors: Claessens, Lieven, Cassman, Kenneth G., Wart, Justin van, Grassini, Patricio, Vanlauwe, Bernard, Ittersum, Martin K. van, Bussel, Lenny G. J. van, Boogaard, H., Stoorvogel, J.J., Wolf, Joost, Yang, Haishun
Format: Conference Paper
Language:Inglés
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10568/52044
_version_ 1855533565292314624
author Claessens, Lieven
Cassman, Kenneth G.
Wart, Justin van
Grassini, Patricio
Vanlauwe, Bernard
Ittersum, Martin K. van
Bussel, Lenny G. J. van
Boogaard, H.
Stoorvogel, J.J.
Wolf, Joost
Yang, Haishun
author_browse Boogaard, H.
Bussel, Lenny G. J. van
Cassman, Kenneth G.
Claessens, Lieven
Grassini, Patricio
Ittersum, Martin K. van
Stoorvogel, J.J.
Vanlauwe, Bernard
Wart, Justin van
Wolf, Joost
Yang, Haishun
author_facet Claessens, Lieven
Cassman, Kenneth G.
Wart, Justin van
Grassini, Patricio
Vanlauwe, Bernard
Ittersum, Martin K. van
Bussel, Lenny G. J. van
Boogaard, H.
Stoorvogel, J.J.
Wolf, Joost
Yang, Haishun
author_sort Claessens, Lieven
collection Repository of Agricultural Research Outputs (CGSpace)
description Providing food and water security for a population expected to exceed 9 billion by 2050 while conserving natural resources requires achieving high yields on every hectare of currently used arable land suitable for intensification. This is especially relevant for sub-Saharan Africa (SSA), where, unlike in other regions of the world, food production is not keeping pace with population growth. While recognizing there are other aspects to food security than production alone (e.g. distribution, demand, waste, governance, population), efficiently increasing production on existing farmland forms an essential component of the sustainable intensification paradigm. In SSA 80% of the food is currently produced by smallholder farmers, and rural population is projected to increase for the next 20 years while average farm size will decrease in most SSA countries. Therefore, smallholder farms must be part of the solution to local and global food security. In agricultural systems with current low yields, there are important opportunities for sustainable intensification through improving ecosystem services and yields simultaneously. However, smallholder production systems across SSA are extremely diverse in terms of agro-ecology (climate, soil, landform) and socio-economic conditions and there is a need for targeting “best fit” approaches from a basket of options, rather than pushing “silver bullet” blanket solutions. Examples of potentially successful options include integrated soil fertility management (ISFM), crop-livestock integration, alternative cropping systems, improved soil and water management, and agroforestry. However, for any of these interventions to be effective, soil quality and responsiveness to improved management is critical because very marginal or degraded soils cannot support intensified systems in a sustainable fashion. Unfortunately degraded and poorly responsive soils cover large areas of Africa and represent the majority of smallholder farmers’ fields in certain regions. Given this situation, a robust, quantitative index to identify and map soils for their suitability to support sustainable intensification is needed. Suitable soils are those that, in their current state, support resource-efficient and cost-effective responses to inputs such as fertilizers and are not prone to erosion, salinization or other forms of degradation that would occur under intensified cropping. In this paper we propose a soil suitability index composed of soil information currently available from the Africa Soil Information Service (AfSIS). The index combines inherent soil properties that are not easily modifiable but important for crop production (e.g. water holding capacity, soil depth) as well as soil attributes that are, in principle, amenable to modification through management and inputs (e.g. soil fertility, pH, and compaction). The index would also include measures of existing soil constraints (e.g. toxicities, salinity, etc). We illustrate the use of the index by combining it with geospatially explicit methodologies for assessing yield gaps that are currently being developed in the Global Yield Gap Atlas project (www.yieldgap.org). We show how this combination can be used to identify areas with climate-soil-cropping systems suitable for sustainable intensification.
format Conference Paper
id CGSpace52044
institution CGIAR Consortium
language Inglés
publishDate 2013
publishDateRange 2013
publishDateSort 2013
record_format dspace
spelling CGSpace520442016-05-30T17:57:22Z Soil data for yield gap assessment and soil suitability index for sustainable intensification Claessens, Lieven Cassman, Kenneth G. Wart, Justin van Grassini, Patricio Vanlauwe, Bernard Ittersum, Martin K. van Bussel, Lenny G. J. van Boogaard, H. Stoorvogel, J.J. Wolf, Joost Yang, Haishun climate agriculture yield gap soil Providing food and water security for a population expected to exceed 9 billion by 2050 while conserving natural resources requires achieving high yields on every hectare of currently used arable land suitable for intensification. This is especially relevant for sub-Saharan Africa (SSA), where, unlike in other regions of the world, food production is not keeping pace with population growth. While recognizing there are other aspects to food security than production alone (e.g. distribution, demand, waste, governance, population), efficiently increasing production on existing farmland forms an essential component of the sustainable intensification paradigm. In SSA 80% of the food is currently produced by smallholder farmers, and rural population is projected to increase for the next 20 years while average farm size will decrease in most SSA countries. Therefore, smallholder farms must be part of the solution to local and global food security. In agricultural systems with current low yields, there are important opportunities for sustainable intensification through improving ecosystem services and yields simultaneously. However, smallholder production systems across SSA are extremely diverse in terms of agro-ecology (climate, soil, landform) and socio-economic conditions and there is a need for targeting “best fit” approaches from a basket of options, rather than pushing “silver bullet” blanket solutions. Examples of potentially successful options include integrated soil fertility management (ISFM), crop-livestock integration, alternative cropping systems, improved soil and water management, and agroforestry. However, for any of these interventions to be effective, soil quality and responsiveness to improved management is critical because very marginal or degraded soils cannot support intensified systems in a sustainable fashion. Unfortunately degraded and poorly responsive soils cover large areas of Africa and represent the majority of smallholder farmers’ fields in certain regions. Given this situation, a robust, quantitative index to identify and map soils for their suitability to support sustainable intensification is needed. Suitable soils are those that, in their current state, support resource-efficient and cost-effective responses to inputs such as fertilizers and are not prone to erosion, salinization or other forms of degradation that would occur under intensified cropping. In this paper we propose a soil suitability index composed of soil information currently available from the Africa Soil Information Service (AfSIS). The index combines inherent soil properties that are not easily modifiable but important for crop production (e.g. water holding capacity, soil depth) as well as soil attributes that are, in principle, amenable to modification through management and inputs (e.g. soil fertility, pH, and compaction). The index would also include measures of existing soil constraints (e.g. toxicities, salinity, etc). We illustrate the use of the index by combining it with geospatially explicit methodologies for assessing yield gaps that are currently being developed in the Global Yield Gap Atlas project (www.yieldgap.org). We show how this combination can be used to identify areas with climate-soil-cropping systems suitable for sustainable intensification. 2013 2014-12-16T06:37:28Z 2014-12-16T06:37:28Z Conference Paper https://hdl.handle.net/10568/52044 en Open Access Claessens L, Cassman KG, Van Wart JP, Grassini P, Vanlauwe B, van Ittersum MK, van Bussel LGJ, Boogaard H, Stoorvogel JJ, Wolf J, Yang H. 2013. Soil data for yield gap assessment and soil suitability index for sustainable intensification. Proceedings of the ASA, CSSA & SSSA International Annual Meetings, held in Tampa, Florida, USA, 3-6 November 2013.
spellingShingle climate
agriculture
yield gap
soil
Claessens, Lieven
Cassman, Kenneth G.
Wart, Justin van
Grassini, Patricio
Vanlauwe, Bernard
Ittersum, Martin K. van
Bussel, Lenny G. J. van
Boogaard, H.
Stoorvogel, J.J.
Wolf, Joost
Yang, Haishun
Soil data for yield gap assessment and soil suitability index for sustainable intensification
title Soil data for yield gap assessment and soil suitability index for sustainable intensification
title_full Soil data for yield gap assessment and soil suitability index for sustainable intensification
title_fullStr Soil data for yield gap assessment and soil suitability index for sustainable intensification
title_full_unstemmed Soil data for yield gap assessment and soil suitability index for sustainable intensification
title_short Soil data for yield gap assessment and soil suitability index for sustainable intensification
title_sort soil data for yield gap assessment and soil suitability index for sustainable intensification
topic climate
agriculture
yield gap
soil
url https://hdl.handle.net/10568/52044
work_keys_str_mv AT claessenslieven soildataforyieldgapassessmentandsoilsuitabilityindexforsustainableintensification
AT cassmankennethg soildataforyieldgapassessmentandsoilsuitabilityindexforsustainableintensification
AT wartjustinvan soildataforyieldgapassessmentandsoilsuitabilityindexforsustainableintensification
AT grassinipatricio soildataforyieldgapassessmentandsoilsuitabilityindexforsustainableintensification
AT vanlauwebernard soildataforyieldgapassessmentandsoilsuitabilityindexforsustainableintensification
AT ittersummartinkvan soildataforyieldgapassessmentandsoilsuitabilityindexforsustainableintensification
AT bussellennygjvan soildataforyieldgapassessmentandsoilsuitabilityindexforsustainableintensification
AT boogaardh soildataforyieldgapassessmentandsoilsuitabilityindexforsustainableintensification
AT stoorvogeljj soildataforyieldgapassessmentandsoilsuitabilityindexforsustainableintensification
AT wolfjoost soildataforyieldgapassessmentandsoilsuitabilityindexforsustainableintensification
AT yanghaishun soildataforyieldgapassessmentandsoilsuitabilityindexforsustainableintensification