A5022452345- Geology and Paleoclimatology Research
- Spectroscopy and Chemometric Analyses
- Tree-ring climate responses
- Remote Sensing in Agriculture
- Archaeology and ancient environmental studies
- Pleistocene-Era Hominins and Archaeology
- Leaf Properties and Growth Measurement
- Horticultural and Viticultural Research
- Silicon Effects in Agriculture
- Image Processing and 3D Reconstruction
- Botany and Plant Ecology Studies
- Landslides and related hazards
- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Archaeological and Geological Studies
- Archaeological Research and Protection
- Date Palm Research Studies
- Edible Oils Quality and Analysis
- Seed and Plant Biochemistry
- Aquatic and Environmental Studies
Vrije Universiteit Amsterdam
2022-2024
Climate Centre
2023
Mediterranean Agronomic Institute of Chania
2020-2022
Abstract We review palaeoenvironmental proxies and combinations of these relevant for understanding hunter-gatherer niche construction activities in pre-agricultural Europe. Our approach consists two steps: (1) identify the possible range impacts on landscapes based ethnographic studies; (2) evaluate possibly reflecting both Eemian (Last Interglacial, Middle Palaeolithic) Early–Middle Holocene (Mesolithic). found paleoenvironmental were not able to unequivocally establish clear-cut...
The olive tree (Olea europaea L.) is one of the main crops Mediterranean region which suffers from drought and soil salinization. We assessed photosynthetic rate, leaf water content antioxidative enzyme activity (APX, GPX, SOD CAT) three Greek cultivars (‘Amfisis’, ‘Mastoidis’ ‘Lefkolia Serron’) subjected to salinity stresses. Hyperspectral reflectance data were acquired using an analytical spectral device (ASD) FieldSpec® 3 spectroradiometer, while principal component regression, partial...
Abstract: The Eemian interglacial (~130 - 116 ka) is a period characterized by significantly warmer climate than the pre-industrial era, providing valuable opportunity to study natural variability and its implications for future. We studied in Europe applying an interactive downscaling our Earth system model (iLOVECLIM) increase horizontal atmospheric resolution from 5.56° 0.25° latitude-longitude. A transient simulation was conducted both standard version of with applied (127 – ka). Our...
Assessment of past anthropogenic modifications land-cover dynamics is key to understanding the human role in Earth system. Recent advances palaeoenvironmental sciences allow us assess long-term impacts anthropization on ecosystems, landscapes, and land-cover. Our study aims evaluate impact European over 6000 years by comparing two independent datasets. First, we use a dynamic vegetation model forced debiased climate outputs. The uses natural forcings only therefore computed distribution...
This article focuses on hunter-gatherer impact interglacial vegetation in Europe, using a case study from the Early Holocene (9200–8700 BP). We present novel agent-based model, hereafter referred to as HUMLAND (HUMan LANDscapes), specifically developed define key factors continental-level changes via assessment of differences between pollen-based reconstruction and dynamic global model output (climate-based cover). The identified significant difference these two datasets can be partially...
Salinity and drought stresses are critical for Phaseolus vulgaris L. growth development. They affect plants in various ways, including tissue mineral element content. Micro- macro-elements leaves of (cv. 'Blue lake' cv. 'Terli') subjected to deficit irrigation salinity treatments were investigated, both analytically with regards their effect on the leaves' spectral reflectance. B (boron), K (potassium), Mn (manganese), Na (sodium), Si (silicon) Zn (zinc) appeared be influenced by stress...
Fomitiporia mediterranea , commonly known as 'Esca', is a detrimental fungus for many tree species and grapevine considered to be one of the main causal agents wood decay olive plantations in Mediterranean region. Symptomatic trees are mainly identified at advanced stages disease, so no curative control measures can applied. In recent years, spectral measurements have been used agriculture early detection disease incidents. this paper, Linear Discriminant Analysis (LDA) hyperspectral data...
Hyperspectral reflectance is becoming an increasingly popular source of information for plants' physio-chemical status. In this study, net photosynthetic rate (A) and the activity four antioxidant enzymes Phaseolus vulgaris L., superoxide dismutase (SOD), catalase (CAT), ascorbate peroxidase (APX) guaiacol (GPX), were compared with hyperspectral data using regression methods (principal component (PCR) partial least squares (PLSR)) vegetation indices (normalized difference index (NDVI),...
Abstract Climate model simulations are inherently biased. It is a notably difficult problem when dealing with climate impact assessments and model-data integration. This especially true looking at derived quantities such as biomes, where not only but also vegetation dynamics biases come into play. To overcome difficulties, we evaluate the performance of an existing methodology to correct outputs, applied here for first time long past conditions. The proposed relies on ‘Cumulative...
Introduction Enacting transitions toward more sustainable management and use of land, energy, natural resources poses multiple challenges for human societies. Such have been a constant throughout history therefore there is need to learn from them apply that knowledge current land-use policies management. Significant impact on landscape environment in Cantabrian Spain has documented alignment with the Neolithization (ca. 7,000 cal BP). While classic approach identifying cultural phases based...
<p>The main objective of this study is to develop and test a method bias correction for paleoclimate model simulations using the “Cumulative Distribution Functions – transform” (CDF-t) method. The CDF-t quantile-mapping based method, extended account climate change signal. Here we apply outputs Mid-Holocene Last Glacial Maximum, simulated by intermediate complexity iLOVECLIM at 5.625° resolution. Additionally, proposed...
<p>TERRANOVA is a Marie Skłodowska-Curie Innovative Training Networks (H2020-MSCA-ITN) project (2019-2023) training 15 PhD students in new learning initiative between Humanities and Science: Mapping past environments energy regimes, rethinking human-environment interaction designing land management tools for policy. TERRANOVA will produce an unprecedented atlas with layers of reconstructed modelled land-use vegetation dynamics, climate change mega-fauna history...