Mogens H. Greve

Mogens H. Greve
Aarhus University | AU · Department of Agroecology

PhD

About

194
Publications
71,155
Reads
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3,641
Citations
Citations since 2016
104 Research Items
2865 Citations
20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500

Publications

Publications (194)
Article
Soil water repellency (WR) is ubiquitous across Greenlandic cultivated fields, which may constrain agricultural production. Fine‐grained glacial rock flour (GRF) is available in the surrounding landscape, which could serve as a soil amendment. We tested whether the application of GRF (rates of 0, 50, 100, 300, and 500 t ha−1) reduced the WR across...
Article
The warming climate is rapidly changing the circumpolar region, presenting new opportunities and challenges for agricultural production in South Greenland. The warming climate is projected to increase the frequency of drought periods, but little is known about the soil‐water retention (SWR) and the plant available water (PAW) of the agricultural so...
Preprint
Groundwater-dependent terrestrial ecosystems (GWDTE) have been increasingly under threat due to groundwater depletion globally. Within the past 200 years, there has been severe artificial drainage of low-lying areas in Denmark, leading to a gradual loss of GWDTE nature habitat areas. This study explores the spatial-temporal loss of Danish GWDTE usi...
Presentation
Full-text available
Peatlands play a major role in the global carbon cycle as they constitute around 20% of the soil carbon (C) stock and act simultaneously as C sinks (for CO2 absorption) and sources (of CH4 emission). Additionally, they support biodiversity preservation and provide important ecosystem services like climate regulation. Draining the peat for agricultu...
Presentation
Full-text available
Agricultural subsurface drainage systems are installed in naturally poorly drained soils and areas with a rising water table to drain the excess water, eradicate soil salinization issues and increase crop yields. Globally, some of the most productive regions are a result of these artificial drainage practices. The installation of drainage systems p...
Article
Study region Denmark. Study focus Groundwater-surface water interaction (GSI) occurs when groundwater discharges into surface water, or surface water seeps into the groundwater. Understanding GSI aids in understanding the quality and quantity of water and the ecosystem's health, assisting water resource management and the protection of land and aq...
Article
Full-text available
The particle density (ρs) is a fundamental physical property needed for calculating the soil porosity and phase distributions. While ρs is often estimated using soil organic matter (SOM) content and particle size distribution, the specific densities of each soil component remain unclear in a subarctic agricultural setting. This study aimed to evalu...
Presentation
Full-text available
Installation of agricultural subsurface drainage systems is a widely adopted practice to lower the water table, improve the timeliness of field operations and mitigate soil salinization for increasing crop yields. Though they provide many agronomic, economic, and environmental benefits, the drainage pipes act as shortened pathways for solute transp...
Article
Full-text available
Soil water repellency (SWR) is a common phenomenon across agricultural soils of South Greenland that can negatively affect soil function and productivity. Existing methods to measure SWR as a function of water content (w) are laborious. This study was conducted to determine the potential of visible near‐infrared spectroscopy (vis‐NIRS), as a fast a...
Article
Full-text available
Convolutional neural networks (CNNs) have been originally used for computer vision tasks, such as image classification. While several digital soil mapping studies have been assessing these deep learning algorithms for the prediction of soil properties, their potential for soil classification has not been explored yet. Moreover, the use of deep lear...
Preprint
Full-text available
Managing soil phosphorus is essential for agricultural production and environmental protection. This requires information on the phosphorus sorption capacity (PSC) of the soil. In this study, we map the PSC for Danish soils in four depths. Measuring PSC directly is expensive and time-consuming, and we therefore used a pedotransfer function based on...
Article
Full-text available
The rapid warming of the Arctic is changing the conditions for agricultural activity in southwest Greenland markedly, which necessitates studies of the physical properties of the soil resource. Soil water repellency (SWR) is a soil property that changes soil functional behaviour across a soil-specific range in water-content (W). Although SWR occurs...
Article
Full-text available
Greenlandic fjords contain vast amounts of glacially derived mineral material (glacial rock flour, GRF), which may be used to amend structureless, low‐clay, and/or water‐repellent agricultural soils in South Greenland and elsewhere. In this study, we investigate key physical amendment properties of GRF from 16 different deposits in South Greenland....
Article
Litter decomposition is a critical process in carbon cycling, which can be impacted by land use. The relationship between litter decomposition and soil properties under different land uses remains unclear. Litter decomposition can be quantified by the Tea Bag Index (TBI), which includes a decomposition rate k, and a stabilization factor S. Our obje...
Article
Agricultural land use and population density have been increasing around the world. Determining if physical geography is a driving factor of historical change on a larger scale has received little research interest in the past outside local-scale case studies. The aim of this study was to model historical agricultural development and population den...
Article
A prerequisite for successful afforestation and reforestation is understanding the quality of a site before establishing a specific tree species. Ecograms have been widely applied to determine the suitability of different sites for different species by a simple assessment of nutrient and water availability. Their graphical representation of suitabi...
Presentation
Full-text available
Agricultural subsurface drainage systems are installed to transform poorly drained soils into productive cropland and to mitigate soil salinization. Globally, some of the most productive regions are a result of adopted artificial drainage practices. These drainage systems play a crucial role in modulating the water table, while also acting as a sho...
Article
Soil aeration is a key parameter for sustainable and productive agriculture. The intensification of agricultural activity in Greenland involves land use and land‐use change, affecting the soil‐air phase. The combined effects of natural compaction (bulk density, ρb), texture (TUI), and land use (LU) on the soil‐air phase of subarctic soils are not w...
Article
Full-text available
It is vital for farmers to know if their land is suitable for the crops that they plan to grow. An increasing number of studies have used machine learning models based on land use data as an efficient means for mapping land suitability. This approach relies on the assumption that farmers grow their crops in the best-suited areas, but no studies hav...
Article
Full-text available
River valley bottoms have hydrological, geomorphological, and ecological importance and are buffers for protecting the river from upland nutrient loading coming from agriculture and other sources. They are relatively flat, low-lying areas of the terrain that are adjacent to the river and bound by increasing slopes at the transition to the uplands....
Article
A natural terroir unit is a tract of land whose natural characteristics form a unique assemblage of factors (soil, terrain and climate) which together impart specific high-quality characteristics to an agricultural product. In order to map and describe Danish natural terroir units, we built on previous efforts to quantitatively map and describe Dan...
Article
Coarse-resolution soil maps at regional to national extents are often inappropriate for mapping intra-field variability. At the same time, sensor data, such as electromagnetic induction measurements and aerial imagery, can be highly useful for mapping soil properties that correlate with electrical conductivity or soil color. However, maps based on...
Article
Water repellency (WR) significantly affects the hydraulic behavior of soils. Although WR often is regarded as a phenomenon with implications for dry soils, it is prevalent at water contents (w) exceeding the wilting point water content. Because the measurement of the WR–w relationship is laborious, alternative more time‐efficient methods are desira...
Book
Full-text available
The detection of pesticides in groundwater over the past three to four decades has fueled the need for enhancing the scientific foundation for the existing approval procedure for pesticides and to improve the present risk assessment tools. A main issue in this respect is that the EU assessment, and hence also the Danish assessment, of the risk of p...
Article
The reduction of permafrost areas and a prolonged vegetation period, both due to the ongoing climate change, open up new possibilities for agricultural activities in the circumpolar region. Presently, not much is known about the physical and functional properties of subarctic agricultural soils, making it challenging to evaluate soil impacts from i...
Article
This paper presents a study of past coastline dynamics and their consequences for prehistoric societies living in the glacio‐isostatically uplifted central Limfjord area, northern Denmark. The consequences of the gradual relative sea level (RSL) changes have been investigated to develop a local RSL curve, study settlement patterns on newly exposed...
Article
Full-text available
In this research, the physical, chemical and biological properties of 19 soil indicators using 80 samples (0–25 cm) were quantified to measure the soil quality index (SQI) in Miandoab region, Iran, across different land uses. These properties include aggregate stability (AS), bulk density (BD), soil moisture content (θm), saturation percentage (SP)...
Article
Full-text available
Peatlands constitute extremely valuable areas because of their ability to store large amounts of soil organic carbon (SOC). Investigating different key peat soil properties, such as the extent, thickness (or depth to mineral soil) and bulk density, is highly relevant for the precise calculation of the amount of stored SOC at the field scale. Howeve...
Preprint
Full-text available
River valley bottoms have hydrological, geomorphological, and ecological importance and are buffers for protecting the river from upland nutrient loading coming from agriculture and other sources. They are relatively flat, low-lying areas of the terrain that are adjacent to the river and bound by increasing slopes at the transition to the uplands....
Article
Full-text available
Decision tree algorithms, such as random forest, have become a widely adapted method for mapping soil properties in geographic space. However, implementing explicit spatial trends into these algorithms has proven problematic. Using x and y coordinates as covariates gives orthogonal artifacts in the maps, and alternative methods using distances as c...
Article
Full-text available
Subsurface drainage systems are commonly used to remove surplus water from the soil profile of a poorly drained farmland. Traditional methods for drainage mapping involve the use of tile probes and trenching equipment that are time-consuming, labor-intensive, and invasive, thereby entailing an inherent risk of damaging the drainpipes. Effective and...
Preprint
Full-text available
Subsurface drainage systems remove excess water from the soil profile thereby improving crop yields in poorly drained farmland. Knowledge of the position of the buried drain lines is important: 1) to improve understanding of leaching and offsite release of nutrients and pesticides, and 2) for the installation of a new set of drain lines between the...
Article
Full-text available
The Arctic is warming at twice the global average, which may impact agricultural production in Greenland. Therefore knowledge of the functional properties of Greenlandic soil resources is necessary. The relative soil gas diffusivity [the soil gas diffusion coefficient (Dp)–free‐air diffusion coefficient (Do) ratio] is the chief parameter controllin...
Poster
Full-text available
- More than 50% of the agricultural area in Denmark is assumed to be artificially drained. - Leaching of nutrients through artificial drainage systems poses a potential eutrophication risk to the aquatic environment. - To install new drain lines, it is essential to know the location of the existing subsurface drainage system. - Traditional methods...
Article
Full-text available
Predicting wheat yield is crucial due to the importance of wheat across the world. When modeling yield, the difference between potential and actual yield consistently changes because of advances in technology. Considering historical yield potential would help determine spatiotemporal trends in agricultural development. Comparing current and histori...
Preprint
Full-text available
Coarse-resolution soil maps at regional to national extents are often inappropriate for mapping intra-field variability. At the same time, sensor data, such as electromagnetic induction measurements and aerial imagery, can be highly useful for mapping soil properties that correlate with electrical conductivity or soil color. However, maps based on...
Article
The distribution and volume of organic sediments as well as the flow pathways in riparian lowlands are important parameters when determining the potential denitrification capacities of a catchment. A headwater catchment in Denmark was investigated with a range of geoelectrical and electromagnetic geophysics as well as shallow boreholes to create a...
Article
Full-text available
The soil specific surface area (SSA) is a fundamental property governing a range of soil processes relevant to engineering, environmental, and agricultural applications. A method for SSA determination based on a combination of visible near-infrared spectroscopy (vis-NIRS) and vapor sorption isotherm measurements was proposed. Two models for water v...
Article
Defining homogeneous zones by soil, climate, and landscape is a first step in creating terroir units. Applications in delineating homogeneous zones are commonly interested in all land use types (urban, forest, agriculture, etc.) or vegetation specific. Terron mapping is one method for creating non-vegetation homogeneous zones specifically for agric...
Article
Spatial assessment of terroir is creating a new possibility for enhancement of high quality agro-food product and to minimize negative environmental effects such as soil degradation and associated risks. The classification and mapping of particular terroir units could be a competitive marketing tool with a major impact on farmers' incomes. For this...
Article
Full-text available
This study compared the applicability of several geographic information systems (GIS) regression tree-based models (n = 136) to precisely define the most influencing environmental predictor parameters on arid soils. The study focused on the accumulation of arsenic, chromium, mercury, and uranium in the arid soils of Qatar using GIS tools. The rates...
Preprint
Full-text available
Abstract. Decision tree algorithms such as Random Forest have become a widely adapted method for mapping soil properties in geographic space. However, implementing explicit geographic relationships into these methods has proven problematic. Using x - and y -coordinates as covariates gives orthogonal artefacts in the maps, and alternative methods us...
Article
Dry bulk density (BD) is a key soil physical property, characterizing the level of soil compaction and controlling flow and transport of fluids and solutes. In this study, predictive BD models were developed from 2462 BD measurements of mineral soils representing both top- and subsoil horizons across Denmark. Three types of BD models were compared:...
Poster
A first, basic application of CNN for the prediction of soil organic matter over a field in Denmark, the overarching goal being to adapt existing tools to interpret any ANN-based models.
Conference Paper
Full-text available
Subsurface drainage systems (popularly known as "tile drains") are installed in poorly drained agricultural fields to remove excess water and enhance crop yields. Knowledge of the precise location of drainage pipes is important for both economic and environmental reasons. Conventional methods of locating drainage pipes involve the use of tile probe...
Presentation
Full-text available
Subsurface drainage systems (popularly known as "tile drains") are installed in poorly drained agricultural fields to remove excess water and enhance crop yields. Knowledge of the precise location of drainage pipes is important for both economic and environmental reasons. Conventional methods of locating drainage pipes involve the use of tile probe...
Article
Full-text available
Soil organic matter (SOM) is unevenly distributed in arable fields in undulated landscapes, but the chemical composition resulting from their turnover, transport and deposition processes is insufficiently known. Therefore, we aimed at disclosing the molecular-chemical composition of SOM in four different catenae at shoulderslope, backslope and foot...
Poster
Full-text available
- More than 50% of the agricultural area in Denmark is assumed to be artificially drained. - Leaching of nutrients through artificial drainage systems poses a potential eutrophication risk to the aquatic environment. - To install new drain lines, it is essential to know the location of the existing subsurface drainage system. - Traditional methods...
Article
Full-text available
Knowledge of the cation exchange capacity (CEC) for soils or other porous media is very important for civil engineering and agricultural applications. However, the standard laboratory methods are costly and laborious. The aim of this research was to develop a visible near-infrared spectroscopy (Vis–NIRS, 400 to 2500 nm) calibration model to predict...
Conference Paper
Subsurface drainage systems remove excess water from the soil profile thereby improving crop yields in poorly drained farmland. Knowledge of the position of the buried drain lines is important: 1) to improve understanding of leaching and offsite release of nutrients and pesticides and 2) for the installation of a new set of drain lines between the...
Presentation
Full-text available
Subsurface drainage systems remove excess water from the soil profile thereby improving crop yields in poorly drained farmland. Knowledge of the position of the buried drain lines is important: 1) to improve understanding of leaching and offsite release of nutrients and pesticides and 2) for the installation of a new set of drain lines between the...
Conference Paper
Full-text available
Subsurface drainage systems remove excess water from the soil profile thereby improving crop yields in poorly drained farmland. Knowledge of the position of the buried drain lines is important: 1) to improve understanding of leaching and offsite release of nutrients and pesticides and 2) for the installation of a new set of drain lines between the...
Article
The soil organic matter (SOM) content is strongly related to soil fertility and greenhouse gas emissions. Knowledge of the soil SOM content is therefore necessary for efficient and sustainable management practices. In this study, we compare the performance of five machine learning techniques for the prediction of SOM contents using remote sensing,...
Poster
Full-text available
Different spectroscopy methods such as visible near-infrared (Vis-NIR) spectroscopy have proven to provide useful information on soil physical and chemical properties. The majority of previous studies have focused on multivariate regression methods such as partial least squares regression (PLSR) to predict soil characteristic features from soil spe...
Poster
Assessing the use of a state-of-the-art deep learning technique, namely Convolutional Neural Networks, for the mapping of acid sulfate soils in wetlands over a study area located in Jutland, Denmark.
Article
Using on-the-go visible and near-infrared (Vis–NIR) spectroscopy singularly or in combination with other sensor data has been found to produce promising cross-validation (CV) and prediction results. In this study, besides from testing two CV methods, we aim to predict clay and organic carbon (OC) not only in new samples but also on samples from new...