Since the outbreak of the Russia-Ukraine conflict in 2022, Ukraine has experienced different types of abandoned cropland, such as unused and unattended cropland, as a result of war damage, agricultural infrastructure destruction, and refugee outflows. Common methods for detecting abandoned cropland have difficulty effectively identifying and distinguishing these different types. This study proposes a Dual-period Change Detection method to reveal the spatial distribution and changes of different types of abandoned cropland in Ukraine, which can aid in agricultural assessments and international assistance in conflict-affected areas. The method mainly utilizes time-series NDVI data to fit the crop curves corresponding to cropland on a pixel-by-pixel basis, and then establishes discrimination rules for different types of abandoned cropland based on the crop curves, so as to detect unused cropland in the pre-conflict period (2015-2021) as well as unused cropland and unattended cropland in the post-conflict period (2022-2023). Finally, the detection results are validated and accuracy assessed using medium and high resolution spatiotemporal remote sensing imagery interpretation. The results show that the overall accuracy of the abandoned cropland extraction in Ukraine ranges from 83 to 96% during the study period. Before the conflict, the national average unused rate was 1.6%, with the lowest in 2021 and the highest in 2018. In 2022, the unused cropland area was approximately twice the average unused area before the conflict, and it was widely distributed, with the area of unattended cropland reaching 462,000 hectares, mainly in the eastern part of Ukraine. In 2023, compared to 2022, the unused cropland area decreased by 67.8%, while unattended cropland increased by 116.7%. Both types of abandoned cropland exhibited spatial clustering, with major clusters identified in the Crimea region, Kherson Oblast, Zaporizhzhia Oblast, and Donetsk Oblast.
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http://dx.doi.org/10.1038/s41598-025-89556-2 | DOI Listing |
Habitat and temporal variation can both influence microbial community dynamics, although their relative importance in reservoir buffer zones with complex hydrology regimes and dramatically altered environments remains controversial. To elucidate this, we investigated spatiotemporal variation in soil bacterial diversity and ecological processes from the flooding period to the dry period (April and June, respectively) using high-throughput 16S amplicon sequencing in three habitats (abandoned cropland, grassland, and woodland) within the Chushandian Reservoir's buffer strip, China. The results showed that habitat was more important than temporal variation in shaping soil bacterial diversity and ecological processes in the reservoir buffer zone.
View Article and Find Full Text PDFJ Environ Manage
March 2025
Departamento de Gestión Agraria, Facultad Tecnológica, Universidad de Santiago de Chile, Chile.
Bioenergy is considered among the main mitigation strategies to meet a green-growth development paradigm of 1.5 °C. However, climate change has been dramatically restructuring agriculture and damaging crops, threatening the achievement of global food security and bioenergy goals.
View Article and Find Full Text PDFSci Data
February 2025
State Key Laboratory of Efficient Utilization of Arable Land in China, Chinese Academy of Agricultural Sciences, Beijing, China.
Amid growing global food security concerns and frequent armed conflicts, real-time monitoring of abandoned cropland is essential for strategic planning and crisis management. This study develops a method to map abandoned cropland accurately, crucial for maintaining the food supply chain and ecological balance. Utilizing Sentinel-1/2 satellite data, we employed multi-feature stacking and machine learning to create the ARCC10-IM (Abandoned and Reclaimed Cropland Classification at 10-meter resolution in Inner Mongolia) dataset, which tracks annual cropland activity.
View Article and Find Full Text PDFSci Rep
February 2025
School of Geoscience and Technology, Zhengzhou University, Zhengzhou, 450001, China.
Since the outbreak of the Russia-Ukraine conflict in 2022, Ukraine has experienced different types of abandoned cropland, such as unused and unattended cropland, as a result of war damage, agricultural infrastructure destruction, and refugee outflows. Common methods for detecting abandoned cropland have difficulty effectively identifying and distinguishing these different types. This study proposes a Dual-period Change Detection method to reveal the spatial distribution and changes of different types of abandoned cropland in Ukraine, which can aid in agricultural assessments and international assistance in conflict-affected areas.
View Article and Find Full Text PDFEnviron Monit Assess
February 2025
Hubei Provincial Land Resources Library, Wuhan, 430064, China.
The urbanization process is complex and lengthy, typically resulting in dual changes in the socioeconomic structure and ecological environment. However, in the context of arid environments and initial urbanization, emerging towns undergo evolutionary processes different from those of traditional cities. This study focuses on a typical town, analyzing its growth under the combined effects of arid conditions and incipient urbanization.
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