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ZENODO
Conference object . 2023
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Production of available water content maps from existing soil properties datasets using pedotransfer models – towards application to spatial crop modeling

Authors: Lavarenne, Jérémy;

Production of available water content maps from existing soil properties datasets using pedotransfer models – towards application to spatial crop modeling

Abstract

Soil water availability is crucial for ecosystem services, particularly in Sub-Saharan Africa where agriculture depends heavily on rainfed systems, directly impacting food security. The key to estimating water available for crops lies in the Available Water Content (AWC) – a metric indicating the water that soil can retain and provide to plants. AWC plays a vital role in crop and ecological models and is particularly integral to spatial crop simulation models. Despite many digital soil mapping endeavors, the production of AWC maps remains limited. This study illustrates the initial phase in crafting a high-resolution AWC map for Burkina Faso, utilizing iSDA Africa's 30m soil properties maps and the USDA Rosetta pedotransfer model. It also frames a research question for a student project proposed during the IDIL graduate program launch event (Montpellier University, sept. 6, 2023), aimed at refining the AWC map development method, focusing on identifying and overcoming barriers to generalize the method for global application and to enhance the usability of AWC data in crop models.

Country
France
Keywords

[SDE] Environmental Sciences, [SDV] Life Sciences [q-bio], agronomy, hydrology, soil science

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green