Luis Andrés Guillén Alm
I am a Postdoctoral Researcher in the Forest Policy and Planning Group. My outmost aspiration is to improve the management of forest resources for the provision of ecosystem servicers through research and teaching. Being open to collaborations and to learning new skills, have provided me with a broad scope of expertise and interests, from analysing hydrologic data in R to qualitative research.
I collaborate in the National and International Forest Policy Course (15 ECTS Credits) within the Euroforester Master Program. This course's goal is to improve student's understanding the complex and interesting intricacies of forest governance, with comparisons between different countries and systems in Europe. I assist with lectures on the Swedish forest governance and with pedagogic activities, such as roll play and reflective journals.
In 2023, I will lead the Forest and Landscape Planning course (15 ECTS Credits) of the International Bachelor in Forest & Landscape Management (F&L). We are currently in the planning phase of the course. Please contact me if you are interest in more information or e.g. if you are a stakeholder involved in planning and would like to share your experience in our course.
My current research focuses overall on the Swedish Forest Advisory systems that collectively represent a key policy instrument for sustainable and multi-use forest management. Within SLU’s Future Forest research platform, I will investigate the policy processes around forest related Green Infrastructure plans lead by the different Swedish regional authorities (Lännstyrelsen) and in cooperation with other forest actors.
I hold a PhD in Natural Resources Science with a focus in Forest Resources Science, from West Virginia University (WVU), USA. Moreover, I have wide knowledge of forest systems, and have carried out forestry research in Sweden, USA and Venezuela, using a plethora of quantitative and qualitative methods e.g. forest, hydrology, GIS, biodiversity studies, forest policy research and during my latest work I used models to study the interactions between forests, climate and water.
Publikationer i urval
Guillén, L. A., Fernández, R., Gaertner, B., & Zégre, N. P. (2021). Climate and Landscape Controls on the Water Balance in Temperate Forest Ecosystems: Testing Large Scale Controls on Undisturbed Catchments in the Central Appalachian Mountains of the US. Water Resources Research, 57(9), e2021WR029673. https://doi.org/10.1029/2021WR029673
Maxwell, A. E., Warner, T. A., & Guillén, L. A. (2021). Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 1: Literature Review. Remote Sensing, 13(13), 2450. https://doi.org/10.3390/rs13132450
Maxwell, A. E., Warner, T. A., & Guillén, L. A. (2021). Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 2: Recommendations and Best Practices. Remote Sensing, 13(13), 2591. https://doi.org/10.3390/rs13132591
Guillén, L.A., Adams, M.B., Elliot, E., Hubbart, J., Kelly, C., McNeil, B., Peterjohn, W., Zegre, N.P. 2021. The Fernow Experimental Forest, West Virginia, USA: Insights, datasets, and opportunities. Hydrological Processes. https://doi.org/10.1002/hyp.14106
Maxwell, A. E., Bester, M. S., Guillén, L. A., Ramezan, C. A., Carpinello, D. J., Fan, Y., Hartley, F. M., Maynard, S. M., & Pyron, J. L. (2020). Semantic Segmentation Deep Learning for Extracting Surface Mine Extents from Historic Topographic Maps. Remote Sensing, 12(24), 4145. https://doi.org/10.3390/rs12244145
Guillén, L.A., Wallin, I. and Brukas, V. 2015. Social Capital in small-scale forestry: a local case study in Southern Sweden. Journal of Forest Policy and Economics (53), pp. 21-28 doi:10.1016/j.forpol.2014.12.006