Laura Poggio
Laura has a background in forestry and environmental sciences. Recent research interests included the analysis and evaluation of pan-European geographical datasets - digital elevation models (EuroDEM) and remote sensing images (Image2006) with investigation of data quality and error propagation. Previously she was involved in the organisation of a GIS system for collection of meta-data and information from soil survey and analytical determinations. Her PhD involved the development of a simplified land-use modelling method for the assessment of the risk of heavy metal polluted soil towards human health, and evaluating the influence of planning measures on this risk.
Current research interests
The major focus is the implications of soil and climate interactions for adaptation to climate change. I am working on the assessment of vulnerability of forest habitat networks to direct and indirect climate impacts, trade-offs between land uses, and on mapping spatio-temporal relationships between ground data and remote sensing-derived information.
Bibliography
- Cerretelli, S.; Poggio, L.; Gimona, A.; Yakob, G.; Boked, S.; Habte, M.; Coull, M.C.; Peressotti, A.; Black, H.I.J., (2018) Spatial assessment of land degradation through key ecosystem services: the role of globally available data., Science of the Total Environment, 628-629, 539-555.
- Minasny, B.; Arrouays, D.; McBratney, A.B.; Angers, D.A.; Chambers, A.; Chaplot, V.; Chen, Z-S.; Cheng, K.; Das, B.S.; Field, D.J.; Hedley, C.; Hong, S.Y.; Mandal, B.; Malone, B.P.; Marchant, B.P.; Martin, M.; McConkey, B.G.; Mulder, V.L.; O'Rourke, S.; Richer-de-Forges, A.C.; Odeh, I.; Padarian, J.; Paustian, K.; Pan, G.; Poggio, L.; Savin, I.; Stolbovoy, V.; Stockmann, U.; Sulaeman, Y.; Tsui, C.; Vagen, T.G.; van Wasemael, B.; Winowiecki, L., (2018) Rejoinder to Comments on Minasny et al., 2017 Soil carbon 4 per mille. Geoderma, 292, 59-86., Geoderma, 309, 124-129.
- Poggio, L.; Simonetti, E.; Gimona, A., (2018) Enhancing the WorldClim data set for national and regional applications., Science of the Total Environment, 625, 1628-1643.
- Brooker, R.W.; Brewer, M.; Britton, A.J.; Eastwood, A.J.; Ellis, C.; Gimona, A.; Poggio, L.; Genney, D.R., (2018) Tiny niches and translocations: the challenge of identifying suitable recipient sites for small and immobile species., Journal of Applied Ecology, 55, 621-630.
- Poggio, L.; Gimona, A.; Gagkas, Z.; Lilly, A., (2018) 3D digital soil mapping for Scottish soils using remote sensing., Internal Report for RESAS.
- Gimona, A.; Baggio Compagnucci, A.; Hewitt, R.; Castellazzi, M.; Poggio, L., (2018) Simulating the effect of linear features on nutrient and sediment export at the catchment scale., Report.
- Williamson, J.; Morton, D.; Artz, R.R.E.; Burden, A.; Rowland, C.; Tornero, L.; O’Neill, A.; Poggio, L.; Khomik, M.; Donnelly, D.; Evans, C.D., (2018) The role of earth observation in an integrated framework for assessing peatland habitat condition and its impact on greenhouse gas accounting., Final Report to Defra, Project number MI07.
- Gimona, A.; Poggio, L.; Baggio Compagnucci, A.; Castellazzi, M., (2018) Unsupervised habitat classification using Sentinel 1 and 2 data and legacy habitat data: a pilot project., Report to Scottish Government, 11pp.
- Arrouays, D.; Leenaars, J.G.B.; Richer-de-Forges, A.; Adhikari, K.; Ballabio, C.; Greve, M.; Grundy, M.; Guerrero, E.; Hempel, J.; Hengl, T.; Heuvelink, G.; Batjes, N.; Carvalho, E.; Hartemink, A.; Hewitt, A.; Hong, S.; Krasilnikov, P.; Lagacherie, P.; Lelyk, G.; Libohova, Z.; Lilly, A.; McBratney, A.; McKenzie, N.; Vasquez, G.M.; Mulder, V.L.; Minasny, B.; Montanrella, L.; Odeh, I.; Padarian, J.; Poggio, L.; Roudier, P.; Saby, N.; Savin, I.; Searle, R.; Solbovoy, V.; Thompson, J.; Smith, S.; Sulaeman, Y.; Vintila, R.; Rossel, R.V.; Wilson, P.; Zhang, G-L.; Swerts, M.; Oorts, K.; Karklins, A.; Feng, L.; Navarro, A.R.I.; Levin, A.; Laktionova, T.; Dell'Acqua, M.; Suvananng, N.; Ruam, W.; Prasad, J.; Patil, N.; Husnjak, S.; Pasztor, L.; Okx, J.; Hallet, S.; Keay, C.; Farewell, T.; Lilja, H.; Juilleret, J.; Marx, S.; Takata, Y.; Kazuyuki, Y.; Mansuy, N.; Panagos, P.; Liedekerke, M.; Skalsky, R.; Sobocka, J.; Kobza, J.; Eftekhari, K.; Alavipanah, S.K.; Moussadek, R.; Badraoui, M.; Da silva, M.; Paterson, G.; da Conceição Gonçalves, M.; Theocharopoulos, S.; Yemefack, M.; Tedou, S.; Vrscaj, B.; Grob, U.; Kozak, J.; Boruvka, L.; Dobos, E.; Taboada, M.; Moretti, L.; Rodriguez, D., (2017) Soil legacy data rescue via GlobalSoilMap and other international and national initiatives., GeoResJ, 14, 1-19.
- Minasny, B.; Malone, B.P.; McBratney, A.B.; Angers, D.A.; Arrouays, D.; Chambers, A.; Chaplot, V.; Chen, Z-S.; Cheng, K.; Das, B.S.; Field, D.J.; Gimona, A.; Hedley, C.B.; Hong, S.Y.; Mandal, B.; Marchant, B.P.; Martin, M.; McConkey, B.G.; Mulder, V.L.; O'Rourke, S.; Richer-de-Forges, A.; Odeh, I.; Padarian, J.; Paustian, K.; Pan, G.; Poggio, L.; Savin, I.; Stolbovoy, V.; Stockmann, U.; Sulaeman, Y.; Tsui, C.C.; Vågen, T-G.; van Wesemael, B.; Winowiecki, L., (2017) Soil carbon 4 per mille., Geoderma, 292, 59-86.
- Poggio, L.; Gimona, A., (2017) Assimilation of optical and radar remote sensing data in 3D mapping of soil properties over large areas., Science of the Total Environment, 579, 1094-1110.
- Poggio, L.; Gimona, A., (2017) 3D mapping of soil texture in Scotland., Geoderma Regional, 9, 5-16.
- Poggio, L.; Baggio Compagnucci, A.; Gimona, A., (2017) Remote sensing data to support the Natural Asset Register: a report on methodology., Internal Research Report, James Hutton Institute.
- Artz, R.R.E.; Donaldson-Selby, G.; Poggio, L.; Donnelly, D.; Aitkenhead, M.J., (2017) Comparison of remote sensing approaches for detection of peatland drainage in Scotland., Report for CxC website.
- Verhagen, W.; Van Teeffelen, A.J.A.; Compagnucci, A.B.; Poggio, L.; Gimona, A.; Verburg, P.H., (2016) Effects of landscape configuration on mapping ecosystem service capacity: a review of evidence and a case study in Scotland., Landscape Ecology, 31, 1457-1479.
- Poggio, L.; Gimona, A.; Spezia, L.; Brewer, M.J., (2016) Bayesian spatial modelling of soil properties and their uncertainty: the example of soil organic matter in Scotland using R-INLA., Geoderma, 277, 69-82.
- Gonzalez, J.; Luque, S.; Poggio, L.; Smith, R.; Gimona, A., (2016) Spatial bayesian belief networks as a planning decision tool for mapping ecosystem services trade-offs on multifunctional forested landscapes., Environmental Research, 144, 15-26.
- Aitkenhead, M.; Poggio, L.; Donaldson-Selby, G.; Gimona, A.; Artz, R.R.E., (2016) Detection of peatland drainage with remote sensing - a scoping study., Technical Report to CxC Directorate.
- Poggio, L.; Gimona, A.; Spezia, L.; Brewer, M., (2016) Example of bayesian uncertainty for digital soil mapping., In: Zhang, G.L., Brus, D., Liu, F., Song, X.D. and Lagacherie, P. (eds.). Digital Soil Mapping Across Paradigms, Scales and Boundaries. Springer Environmental Science and Engineering. Springer, Singapore, pp181-193.
- Baggaley, N.J.; Poggio, L.; Gimona, A.; Lilly, A., (2016) Comparison of traditional and geostatistical methods to estimate and map the carbon content of Scottish soils., In: Zhang, G.L., Brus, D., Liu, F., Song, X.D. and Lagacherie, P. (eds.). Digital Soil Mapping Across Paradigms, Scales and Boundaries. Springer Environmental Science and Engineering. Springer, Singapore, pp103-111.
- Brooker, R.; Eastwood, A.; Gimona, A.; Poggio, L.; Genney, D.; Ellis, C.; Brewer, M.I., (2016) Opportunities for translocating mountain species., In: Irvine, R.J. (ed.) Biodiversity and Upland Management. The James Hutton Institute, Craigiebuckler, Aberdeen, Chapter 11, pp24-25.
- Gimona, A.; Baggio Compagnucci, A.; Poggio, L.; Castellazzi, M.; Brooker, R.; Pakeman, R.J., (2016) Modelling and mapping key ecosystem services., In: Brooker, R., Hester, A. & Pakeman, R.J. (eds.). Ecosystem Services. The James Hutton Institute, Craigiebuckler, Aberdeen, pp8-9.
- McCallum, H.M.; Park, K.J.; O'Brien, M.G.; Gimona, A.; Poggio, L.; Wilson, J.D., (2015) Soil pH and organic matter content add explanatory power to Northern Lapwing Vanellus vanellus distribution models and suggest soil amendment as a conservation measure on upland farmland., Ibis, 157, 677-687.
- Poggio, L.; Gimona, A., (2015) Downscaling and correction of regional climate models outputs with a hybrid geostatistical approach., Spatial Statistics, 14, 4-21.
- Gimona, A.; Poggio, L.; Polhill, J.G.; Castellazzi, M., (2015) Habitat networks and food security: promoting species range shift under climate change depends on life history and the dynamics of land use choices., Landscape Ecology, 30, 771-789.
- Poggio, L.; Gimona, A., (2015) Sequence-based mapping approach to spatio-temporal snow patterns from MODIS time-series applied to Scotland., International Journal of Applied Earth Observation and Geoinformation, 34, 122-135.
- Lilly, A.; Miller, D.R.; Towers, W.; Donnelly, D.; Poggio, L.; Carnegie, P., (2015) Mapping of Scotland's natural resources., Bulletin of the Society of Cartographers, 48, 35-46
- Chapman, S.J.; Artz, R.R.E.; Poggio, L., (2015) Determination of organic carbon stocks in blanket peat soils in different condition - assessment of peat condition., Final Project Report to SEPA (TT1401).
- Poggio, L.; Gimona, A., (2014) National scale 3D modelling of soil organic carbon stocks with uncertainty propagation - an example from Scotland., Geoderma, 232-234, 284-299.
- Gimona, A.; Poggio, L.; Aalders, I.; Aitkenhead, M., (2014) The effect of image compression on synthetic PROBA-V images., International Journal of Remote Sensing, 35, 2639-2653.
- Baggaley, N.; Aitkenhead, M.; Poggio, L.; Gimona, A.; Lilly, A., (2014) Comparison of methods to estimate and map the carbon content of Scottish soils, 20th World Congress of Soil Science, Soils Embrace Life and Universe, Jeju, South Korea, 8-13 June 2014. (Poster).
- Brown, I.; Poggio, L.; Gimona, A.; Castellazzi, M.S., (2011) Climate change, drought risk and land capability for agriculture: implications for land-use in Scotland., Regional Environmental Change, 11, 503-518.
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