Exploring machine learning models for soil nutrient properties prediction: A systematic review

O Folorunso, O Ojo, M Busari, M Adebayo… - Big Data and Cognitive …, 2023 - mdpi.com
Agriculture is essential to a flourishing economy. Although soil is essential for sustainable
food production, its quality can decline as cultivation becomes more intensive and demand …

The status and future of essential geodiversity variables

F Schrodt, G Vernham, J Bailey… - … of the Royal …, 2024 - royalsocietypublishing.org
Rapid environmental change, natural resource overconsumption and increasing concerns
about ecological sustainability have led to the development of 'Essential Variables'(EVs) …

European beech dieback after premature leaf senescence during the 2018 drought in northern Switzerland

ER Frei, MM Gossner, Y Vitasse, V Queloz… - Plant …, 2022 - Wiley Online Library
During the particularly severe hot summer drought in 2018, widespread premature leaf
senescence was observed in several broadleaved tree species in Central Europe …

Soil–plant interactions modulated water availability of Swiss forests during the 2015 and 2018 droughts

K Meusburger, V Trotsiuk… - Global Change …, 2022 - Wiley Online Library
Central Europe has been experiencing unprecedented droughts during the last decades,
stressing the decrease in tree water availability. However, the assessment of physiological …

[HTML][HTML] Spatial distribution of lead concentration in peri-urban soil: Threshold and interaction effects of environmental variables

Z Wu, Y Chen, Z Yang, Y Liu, Y Zhu, Z Tong, R An - Geoderma, 2023 - Elsevier
Understanding the spatial distribution of soil lead concentration in peri-urban soil and its
underlying mechanism is critical to controlling lead contamination, ensuring food safety, and …

Digital mapping of soil properties using ensemble machine learning approaches in an agricultural lowland area of Lombardy, Italy

OD Adeniyi, A Brenning, A Bernini, S Brenna… - Land, 2023 - mdpi.com
Sustainable agricultural landscape management needs reliable and accurate soil maps and
updated geospatial soil information. Recently, machine learning (ML) models have …

Comparison of random forest and kriging models for soil organic carbon mapping in the Himalayan Region of Kashmir

I Farooq, SA Bangroo, O Bashir, TI Shah, AA Malik… - Land, 2022 - mdpi.com
The knowledge about the spatial distribution of soil organic carbon stock (SOCS) helps in
sustainable land-use management and ecosystem functioning. No such study has been …

[HTML][HTML] Elevation dependent response of soil organic carbon stocks to forest windthrow

M Mayer, S Rusch, M Didion, A Baltensweiler… - Science of the Total …, 2023 - Elsevier
Storms represent a major disturbance factor in forest ecosystems, but the effects of
windthrows on soil organic carbon (SOC) stocks are poorly quantified. Here, we assessed …

[HTML][HTML] Towards precision forestry: Drought response from remote sensing-based disturbance monitoring and fine-scale soil information in Central Europe

B Putzenlechner, P Koal, M Kappas, M Löw… - Science of The Total …, 2023 - Elsevier
Prolonged drought and susceptibility to biotic stressors induced an extensive calamity in
Norway spruce (Picea abies (L.) Karst.) and widespread crown defoliation in European …

[HTML][HTML] Benefits of hierarchical predictions for digital soil mapping—An approach to map bimodal soil pH

M Nussbaum, S Zimmermann, L Walthert… - Geoderma, 2023 - Elsevier
Maps of soil pH are an important tool for making decisions in sustainable forest
management. Accurate pH mapping, therefore, is crucial to support decisions by authorities …