Forests

Forests play a number of essential roles at global scale, from maintaining biological diversity to mitigating climate change. However, forests around the world are being rapidly cleared to make space for food production, threatening their continued provision of ecosystem services. Preserving the contributions of forests to human and natural systems requires improved understanding of the socio-ecological dynamics that drive, and result from, forest loss. This research will develop the necessary interdisciplinary knowledge to project forest dynamics under future global change.

Scientific significance

While research into natural and unmanaged forests is intensive, it usually adopts disciplinary perspectives that focus on, for instance, ecological dynamics, climate feedbacks or economic optimization of management practices. This precludes consideration of the interactions between human, ecological and climatic systems that will ultimately determine changes in the world’s forests. The formal investigation of these interactions, using interdisciplinary data and methods, is therefore a major and crucial step forward. This research will establish the first conceptual and computational representation of forests as coherent, dynamic socio-ecological systems within the Earth System.

Societal relevance

Forest preservation is a major aim of international policy initiatives, including the ‘Paris Agreement’ for the mitigation of climate change. The ecosystem services provided by forests, both locally and globally, are of huge monetary and non-monetary value to society, and are the subjects of a wide array of different policies, laws, initiatives and campaigns. Identifying ways in which the continued provision of these services can be aligned with economic development and food provision is therefore of central societal importance.

News

Forest (symbol picture)

New paper finds decline in Eastern European carbon sink due to land use change

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3 billion trees - check out our paper on the EU biodiversity strategy!

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Contact

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Mark Rounsevell

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Calum Brown

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Ronja Hotz

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Judith Kloibhofer

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Reinhard Prestele

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Katharina Ramm

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Maitreyee Sevekari

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Karina Winkler

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Yongchao Zeng

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Forests Publications

2022
2020
Cho, N.; Kim, E.; Lim, J.-H.; Seo, B.; Kang, S.
Developing drought stress index for monitoring Pinus densiflora diebacks in Korea
2020. Journal of ecology and environment / Ecological Society of Korea, 44 (1), Article no: 15. doi:10.1186/s41610-020-00156-9Full textFull text of the publication as PDF document
Vulturius, G.; André, K.; Swartling, Å. G.; Brown, C.; Rounsevell, M.
Does Climate Change Communication Matter for Individual Engagement with Adaptation? Insights from Forest Owners in Sweden
2020. Environmental management, 65 (20), 190–202. doi:10.1007/s00267-019-01247-7
Vulturius, G.; André, K.; Gerger Swartling, Å.; Brown, C.; Rounsevell, M.
Successes and shortcomings of climate change communication: insights from a longitudinal analysis of Swedish Forest owners
2020. Journal of environmental planning and management, 63 (7), 1177–1195. doi:10.1080/09640568.2019.1646228
2019
Fuchs, R.; Alexander, P.; Brown, C.; Cossar, F.; Henry, R. C.; Rounsevell, M.
Why the US–China trade war spells disaster for the Amazon
2019. Nature <London>, 567 (7749), 451–454. doi:10.1038/d41586-019-00896-2Full textFull text of the publication as PDF document
Asefa, M.; Wen, H.-D.; Brown, C.; Cao, M.; Xu, K.; Hu, Y.-H.
Ecological drivers of tree assemblage in tropical, subtropical and subalpine forests
2019. Journal of vegetation science, 31 (1), 107–117. doi:10.1111/jvs.12819
Brown, C.; Alexander, P.; Arneth, A.; Holman, I.; Rounsevell, M.
Achievement of Paris climate goals unlikely due to time lags in the land system
2019. Nature climate change, 9, 203–208. doi:10.1038/s41558-019-0400-5
2018
Seo, B.; Brown, C.; Rounsevell, M.
Evaluation and Calibration of an Agent Based Land use Model Using Remotely Sensed Land Cover and Primary Productivity Data
2018. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, E, July 22-27, 2018, 7472–7475, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS.2018.8518023Full textFull text of the publication as PDF document
Lee, B.; Kim, E.; Lim, J.-H.; Seo, B.; Chung, J.-M.
Detecting vegetation phenology in various forest types using long-term MODIS vegetation indices
2018. 2018 IEEE International Geoscience & Remote Sensing Symposium: Proceedings, 5243–5246, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS.2018.8518142
Asefa, M.; Brown, C.; Cao, M.; Zhang, G.; Ci, X.; Sha, L.; Li, J.; Lin, L.; Yang, J.
Contrasting effects of space and environment on functional and phylogenetic dissimilarity in a tropical forest
2018. Journal of plant ecology, 12 (2), 314–326. doi:10.1093/jpe/rty026
Shao, X.; Brown, C.; Worthy, S. J.; Liu, L.; Cao, M.; Li, Q.; Lin, L.; Swenson, N. G.
Intra-specific relatedness, spatial clustering and reduced demographic performance in tropical rainforest trees
2018. Ecology letters. doi:10.1111/ele.13086
2017
Blanco, V.; Brown, C.; Holzhauer, S.; Vulturius, G.; Rounsevell, M. D. A.
The importance of socio-ecological system dynamics in understanding adaptation to global change in the forestry sector
2017. Journal of environmental management, 196, 36–47. doi:10.1016/j.jenvman.2017.02.066
Blanco, V.; Holzhauer, S.; Brown, C.; Lagergren, F.; Vulturius, G.; Lindeskog, M.; Rounsevell, M. D. A.
The effect of forest owner decision-making, climatic change and societal demands on land-use change and ecosystem service provision in Sweden
2017. Ecosystem Services, 23, 174–208. doi:10.1016/j.ecoser.2016.12.003
2016
Harrison, P. A.; Dunford, R. W.; Holman, I. P.; Rounsevell, M.
Climate change impact modelling needs to include cross-sectoral interactions
2016. Nature climate change, 6 (9), 885–890. doi:10.1038/nclimate3039
Prestele, R.; Alexander, P.; Rounsevell, M. D. A.; Arneth, A.; Calvin, K.; Doelman, J.; Eitelberg, D. A.; Engström, K.; Fujimori, S.; Hasegawa, T.; Havlik, P.; Humpenöder, F.; Jain, A. K.; Krisztin, T.; Kyle, P.; Meiyappan, P.; Popp, A.; Sands, R. D.; Schaldach, R.; Schüngel, J.; Stehfest, E.; Tabeau, A.; Van Meijl, H.; Van Vliet, J.; Verburg, P. H.
Hotspots of uncertainty in land-use and land-cover change projections: a global-scale model comparison
2016. Global change biology, 22 (12), 3967–3983. doi:10.1111/gcb.13337Full textFull text of the publication as PDF document
2014
Shope, C. L.; Maharjan, G. R.; Tenhunen, J.; Seo, B.; Kim, K.; Riley, J.; Arnhold, S.; Koellner, T.; Ok, Y. S.; Peiffer, S.; Kim, B.; Park, J.-H.; Huwe, B.
Using the SWAT model to improve process descriptions and define hydrologic partitioning in South Korea
2014. Hydrology and earth system sciences, 18 (2), 539–557. doi:10.5194/hess-18-539-2014Full textFull text of the publication as PDF document