- Soil Geostatistics and Mapping
- Soil Carbon and Nitrogen Dynamics
- Peatlands and Wetlands Ecology
- Soil and Water Nutrient Dynamics
- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Geochemistry and Geologic Mapping
- Soil erosion and sediment transport
- Smart Agriculture and AI
- Soil and Land Suitability Analysis
- Remote-Sensing Image Classification
- Spectroscopy and Chemometric Analyses
- Ecology and Vegetation Dynamics Studies
- Neural Networks and Applications
- Sustainable Agricultural Systems Analysis
- Hydrology and Watershed Management Studies
- Remote Sensing and Land Use
- Evolutionary Algorithms and Applications
- Coastal wetland ecosystem dynamics
- Ecosystem dynamics and resilience
- Hydrological Forecasting Using AI
- Soil and Unsaturated Flow
- Horticultural and Viticultural Research
- Rangeland and Wildlife Management
- Forest Management and Policy
James Hutton Institute
2015-2024
ENVIRON (United States)
2010
University of Aberdeen
1999-2009
Core Ideas A community effort is needed to move soil modeling forward. Establishing an international consortium key in this respect. There a need better integrate existing knowledge models. Integration of data and models challenge modeling. The remarkable complexity its importance wide range ecosystem services presents major challenges the processes. Although progress has occurred last decades, processes remain disjointed between disciplines or services, with considerable uncertainty...
Abstract Peatlands cover only 3–4% of the Earth’s surface, but they store nearly 30% global soil carbon stock. This significant is under threat as peatlands continue to be degraded at alarming rates around world. It has prompted countries worldwide establish regulations conserve and reduce emissions from this rich ecosystem. For example, EU implemented new rules that mandate sustainable management peatlands, critical reaching goal neutrality by 2050. However, a lack information on extent...
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 45:179-192 (2010) - DOI: https://doi.org/10.3354/cr00899 Estimating changes in Scottish soil carbon stocks using ECOSSE. I. Model description and uncertainties Jo Smith1,*, Pia Gottschalk1, Jessica Bellarby1, Stephen Chapman2, Allan Lilly2, Willie Towers2, John Bell2, Kevin Coleman3, Dali Nayak1, Mark Richards1, Jon Hillier1,...
Gypsum soils are among the most restrictive and widespread substrates for plant life. Plants living on gypsum classified as gypsophiles (exclusive to gypsum) gypsovags (non-exclusive gypsum). The former have been separated into wide narrow gypsophiles, each with a putative different ecological strategy. Mechanisms displayed by plants compete survive still not fully understood. aim of this study was compare main chemical groups in leaves specificity explore ability Fourier transform infrared...
Scenario planning is a popular decision-support method that increasingly being applied to climate change adaptation. However, evaluation of scenario for adaptation lacking. In this paper we summarise science-policy session held at the European Climate Change Adaptation Conference in May 2019, where practitioners explored strengths and weaknesses identified modifications enhance method's utility. Eight case studies spanning three types (problem-focused, actor-focused...
Abstract The spatial distribution of soil organic carbon is an important factor in land management decision making, climate change mitigation and landscape planning. In Scotland, where approximately one‐quarter the soils are peat, this information has usually been obtained using field survey mapping, with digital mapping only carried out recently. Here a method presented that integrates legacy data, recent monitoring work for peatland restoration surveys, covariates such as topography...
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 45:193-205 (2010) - DOI: https://doi.org/10.3354/cr00902 Estimating changes in Scottish soil carbon stocks using ECOSSE. II. Application Jo Smith1,*, Pia Gottschalk1, Jessica Bellarby1, Stephen Chapman2, Allan Lilly2, Willie Towers2, John Bell2, Kevin Coleman3, Dali Nayak1, Mark Richards1, Jon Hillier1, Helen Flynn1, Martin...
Hyperspectral imaging is a technology that can be used to monitor plant responses stress. images have full spectrum for each pixel in the image, 400-2500 nm this case, giving detailed information about spectral reflectance of plant. Although has been laboratory-based controlled lighting conditions early detection disease, transfer such plants field presents number challenges. These include problems caused by varying light levels and difficulties separating target from its background. Here we...
Abstract. The structure of soils in areas rain forest cleared for pasture is often compacted due to trampling by animals. When abandoned, regeneration cover may be achieved from natural seed sources nearby.However, the soil also important local hydrology and successful establishment some plant species. In this study we investigated changes hydraulic properties a series plots on volcanic San Luis Valley, Costa Rica. were current pasture, 15‐ 20‐year‐old regenerating forest, primary forest....
Dissolved organic carbon (DOC) concentration and export were quantified in 56 streams within the Dee Valley, Scotland. Percentage land cover was calculated for each of watersheds. For a subset 21 watersheds, mineral soil layers collected nitrogen analysis. Peat derived from data good predictor annual DOC selected upland watersheds but not set Using values mean watershed C:N ratio, we produced an empirical predictive model estimation as well weekly fluxes two larger to meet needs managers....
Here we present work on using different types of soil profile imagery (topsoil profiles captured with a smartphone camera and full-profile images conventional digital camera) to estimate the structure, texture drainage soil. The method is adapted from earlier developing apps for estimating topsoil organic matter content in Scotland uses an existing visual structure assessment approach. Colour image information was extracted imagery. This linked, geolocation derived GPS system or field notes,...
Mapping the spatial distribution of organic soil is important for decision making in land management. Organic types have a strong effect on carbon storage, water availability and quality, biodiversity many other ecosystem services. A large proportion Scotland's organic, classed as peats or organomineral. Existing maps Scotland include 1:25 000 map eastern southern parts country that identifies major subgroup at each location, 1:250 covering whole gives proportions group within mapping units....