Global inventory of suitable, cultivable and available cropland under different scenarios and policies

Schneider, Julia M.; Zabel, Florian; Mauser, Wolfram

doi:10.1038/s41597-022-01632-8

Cited by 11 publications

(5 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It appears that crop production generally concentrates on areas, where the suitability to grow crops is moderate or high as discussed in detail by Schneider et al (2022). Marginally suitable areas contribute 14% to the total crop protein, moderately suitable areas account for 66%, and highly suitable 15% (Fig.…”

Section: Crops' Potential To Produce Proteinmentioning

confidence: 91%

“…To identify areas where cropland expansion or reduction could occur, we utilized the suitability index (SI) approach (Zabel et al, 2014), which has also been employed in other studies (e.g., Cronin et al, 2020;Fodor et al, 2017;Foyer et al, 2019). For our analysis, we applied updated SI data (Schneider et al, 2022;Zabel et al, 2022). The SI measures the potential suitability of a given land area for agricultural use based on a range of local environmental conditions (climate, soil, topography).…”

Section: Redistribution Of Land Resourcesmentioning

confidence: 99%

“…SI data is provided at 30 arc-seconds spatial resolution, but we resampled it to a 5 arc-minute resolution in this study. Thus, we could extract information on the proportion of a cell belonging to different suitability classes, such as 'marginally suitable', 'moderately suitable', and 'highly suitable', with respective SI values of 1-32, 33-74, and 75-100 (Schneider et al, 2022). This allows us to determine for a specific grid cell, that e.g.…”

Section: Redistribution Of Land Resourcesmentioning

confidence: 99%

See 2 more Smart Citations

Protein and energy from grazing or crops - does livestock have a chance?

Piipponen,

Jalava,

Sahlin

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Producing an adequate food supply to a growing population sustainably is challenging. Despite high-level recommendations for a shift to plant-based diets in most countries, global meat production continues to rise. Yet, we lack a comprehensive geospatial understanding of trade-offs between crops and livestock production efficiency. To address this, we developed a method to examine whether certain grazing lands could be more efficiently used for crop production and quantified the most efficient production system for each agricultural area globally. We found that the largest potential for increased protein production would be to turn grazing land into cropland near existing crop regions, such as the vertical belt stretching from Texas to South Dakota in the US, Southern Chad and South Sudan, Sichuan and Heilongjiang provinces in China. Here, large agricultural areas that are currently used for livestock grazing show strong potential for high protein yields through crop production. By converting all grazing lands to croplands that are at least moderately suitable for crop production (based on our crop suitability assessment), the total protein production could more than triple. Similarly, for grazing lands classified as highly suitable, the rise would still be 48%. Although sustainability factors such as biodiversity and climate impacts warrant further analysis, our study identifies key areas for consideration in strategic planning and policy decisions related to increasing food production.

show abstract

Section: Crops' Potential To Produce Proteinmentioning

confidence: 91%

Section: Redistribution Of Land Resourcesmentioning

confidence: 99%

Section: Redistribution Of Land Resourcesmentioning

confidence: 99%

See 1 more Smart Citation

Protein and energy from grazing or crops - does livestock have a chance?

Piipponen,

Jalava,

Sahlin

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…To give insight on the resilience of Malawi's food system to this type of extreme events, we evaluate land and water availability to compensate for losses in these natural resources as a consequence of the floods. We gather areas available and suitable for agricultural expansion from (Schneider et al, 2022), and we use WATNEEDS (Chiarelli et al, 2020) to compute water scarcity, as the ratio between water demand (accounting for domestic, industrial and agricultural uses) and water availability (accounting for upstream uses and environmental flows).…”

Section: Methodsmentioning

confidence: 99%

Assessing food security disruptions in the aftermath of extreme events

Galli

Govoni

Rulli

2023

Preprint

View full text Add to dashboard Cite

Climate change can potentially drive variations in the frequency and magnitude of hydrological extremes, and in turn the impact these events have on agriculture. Agricultural damages resulting from extreme events can significantly affect food security at multiple scales, especially in contexts where pre-existing unfavourable social and economic conditions already hinder the stability and the effectivity of the food supply chain. In these contexts, formulating approaches to directly quantify food security impacts of extreme events in a way that is compatible with local data availability, but at the same time reliable and transparent, becomes a crucial and urgent matter. Moreover, while the importance of the multifaceted repercussions of agricultural damage on food security have been highlighted in the current literature, investigation on impacts different than reduced crop availability remain understudied. Here, we propose a methodology to derive metrics of food availability and food access impacts from post-disaster assessments, by putting the affected communities at the core of the analysis. We then provide perspectives on food utilization and food stability impacts. We apply the methodology on the severe floods that affected Malawi in the early months of 2015. We find that agricultural losses correspond to food sufficient for feeding more than 300,000 people and for balancing the diet of almost 2.3 million. Food security impacts also appear to disproportionately hit poorer and less food-secure districts. The proposed methodology is easily replicable in other case studies, also moving beyond floods as the triggering extreme event.

show abstract

“…To tackle this problem, scholars have been trying to combine LUCC data and different models to evaluate and simulate food security. Schneider et al (2022) predicted global future cropland resources under different climate paths based on existing LUCC data; Li S. et al (2023) built an analysis network based on LUCC data to assess regional grain production changes, and found that urbanization of the Loess Plateau will not endanger local food security; Sun et al ( 2023) built an early warning system for cultivated land resources based on LUCC data in order to achieve the sustainability of food security, economic development and ecological protection.…”

Section: Food Securitymentioning

confidence: 99%