Reallocating crops raises crop diversity without changes to field boundaries and farm-level crop composition DOI Creative Commons
Maximilian Wesemeyer, Daniel Müller, Tobia Lakes

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(7), P. 074071 - 074071

Published: July 1, 2024

Abstract Higher crop diversity can enhance biodiversity and ecosystem services; however, it remains unclear to what extent where be increased. We use spatially explicit multiscale optimization determine potential attainable with field-level land data for case studies in Brandenburg, Germany. Our model maximizes at the landscape scale while reassigning types over multiple years existing arable fields. The implements sequence rules maintains composition of each farm year. found that a 10% higher attained on average compared currently observed diversity; minor changes would close this gap. Improved allocation contribute closing gap between diversity, which turn increase biodiversity, improve pollination services, support pest control.

Language: Английский

Simulating Soil Moisture Dynamics in a Diversified Cropping System Under Heterogeneous Soil Conditions DOI Creative Commons
Anna Maria Engels, Thomas Gaiser, Frank Ewert

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(2), P. 407 - 407

Published: Feb. 6, 2025

Agro-ecosystem models are useful tools to assess crop diversification strategies or management adaptations within-field heterogeneities, but require proper simulation of soil water dynamics, which crucial for growth. To simulate these, the model requires hydraulic parameter inputs often derived using pedotransfer functions (PTFs). Various PTFs available and show varying performance; therefore, in this study, we calibrated validated an agro-ecosystem Hypres PTF German Manual Soil Mapping approach adjusting bulk density top- subsoil. Experimental data were collected at “patchCROP” landscape laboratory Brandenburg, Germany. The daily volumetric content (SWC) 12 locations above ground biomass flowering used evaluate performance. findings highlight importance calibrating spatially heterogeneous conditions not only growth parameters, also water-related processes—in case by choice—in order capture interplay especially subsoil heterogeneity, climate, management, moisture dynamics their variability within a field. results showed that while impact was rather small, choice led differences simulating SWC biomass. Employing PTF, able climate seasonal interactions contrasting reasonably well. error largest after intense rainfall events with loamy texture. has potential be study practices on under conditions.

Language: Английский

Citations

1
Improving landscape sustainability across urban and rural regions in a changing world DOI Creative Commons
Zhifeng Liu,

Yupeng Liu,

Qian Cao

et al.

Landscape Ecology, Journal Year: 2025, Volume and Issue: 40(5)

Published: April 28, 2025

Language: Английский

Citations

0
Advancements and challenges of deep learning architectures for aerial image analysis: A systematic review DOI Creative Commons
Hashibul Ahsan Shoaib, Hadiur Rahman Nabil,

Md Anisur Rahman

et al.

Intelligent Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 200537 - 200537

Published: June 1, 2025

Language: Английский

Citations

0
Reallocating crops raises crop diversity without changes to field boundaries and farm-level crop composition DOI Creative Commons
Maximilian Wesemeyer, Daniel Müller, Tobia Lakes

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(7), P. 074071 - 074071

Published: July 1, 2024

Abstract Higher crop diversity can enhance biodiversity and ecosystem services; however, it remains unclear to what extent where be increased. We use spatially explicit multiscale optimization determine potential attainable with field-level land data for case studies in Brandenburg, Germany. Our model maximizes at the landscape scale while reassigning types over multiple years existing arable fields. The implements sequence rules maintains composition of each farm year. found that a 10% higher attained on average compared currently observed diversity; minor changes would close this gap. Improved allocation contribute closing gap between diversity, which turn increase biodiversity, improve pollination services, support pest control.

Language: Английский

Citations

0