Gaps and strategies for accurate simulation of waterlogging impacts on crop productivity

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F25%3A00636981" target="_blank" >RIV/86652079:_____/25:00636981 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.nature.com/articles/s43016-025-01179-y" target="_blank" >https://www.nature.com/articles/s43016-025-01179-y</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s43016-025-01179-y" target="_blank" >10.1038/s43016-025-01179-y</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Gaps and strategies for accurate simulation of waterlogging impacts on crop productivity

Popis výsledku v původním jazyce

With the changing climate, soil waterlogging is a growing threat to food security. Yet, contemporary approaches employed in crop models to simulate waterlogging are in their infancy. By analysing 21 crop models, we show that critical deficiencies persist in accurately simulating capillary rise, crop resistance to transient periods of waterlogging, crop recovery mechanisms, and the effects on soil nitrogen processes, phenology and yield components. This hinders the ability of such models to reliably simulate the impacts of excessive soil moisture. Advanced crop modelling analytics will enable scenario analysis and, with time, farming systems adaptation to climate change and increasing frequency of crop failure due to waterlogging.

Název v anglickém jazyce

Gaps and strategies for accurate simulation of waterlogging impacts on crop productivity

Popis výsledku anglicky

With the changing climate, soil waterlogging is a growing threat to food security. Yet, contemporary approaches employed in crop models to simulate waterlogging are in their infancy. By analysing 21 crop models, we show that critical deficiencies persist in accurately simulating capillary rise, crop resistance to transient periods of waterlogging, crop recovery mechanisms, and the effects on soil nitrogen processes, phenology and yield components. This hinders the ability of such models to reliably simulate the impacts of excessive soil moisture. Advanced crop modelling analytics will enable scenario analysis and, with time, farming systems adaptation to climate change and increasing frequency of crop failure due to waterlogging.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Nature Food

ISSN

2662-1355

e-ISSN

2662-1355

Svazek periodika

6

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

553-562

Kód UT WoS článku

001503272200001

EID výsledku v databázi Scopus

2-s2.0-105007310775