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T. Matthew Robson

Researcher at University of Helsinki

Publications -  74
Citations -  4046

T. Matthew Robson is an academic researcher from University of Helsinki. The author has contributed to research in topics: Biology & Fagus sylvatica. The author has an hindex of 25, co-authored 56 publications receiving 3138 citations. Previous affiliations of T. Matthew Robson include Utah State University & Joseph Fourier University.

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Incorporating plant functional diversity effects in ecosystem service assessments

TL;DR: In this article, the authors propose a systematic way for progressing in understanding how land cover change affects ecosystem properties through functional diversity modifications, and apply the proposed framework to a grassland system in the central French Alps in which functional diversity, by responding to land use change, alters the provision of ecosystem services important to local stakeholders.
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Intra-specific variability and plasticity influence potential tree species distributions under climate change

TL;DR: The results indicate that the incorporation of intra-population genetic diversity and phenotypic plasticity in SDMs significantly altered their outcome and reaffirm the importance of considering adaptive traits when predicting species distributions and avoiding the use of occurrence data as a predictive variable.
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Re-interpreting plant morphological responses to UV-B radiation

TL;DR: It remains unproven whether UV-induced morphological changes have a protective function involving shading and decreased leaf penetration of UV-B, counterbalancing trade-offs such as decreased photosynthetic light capture and plant-competitive abilities.
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Impacts of solar ultraviolet-B radiation on terrestrial ecosystems of Tierra del Fuego (southern Argentina). An overview of recent progress.

TL;DR: The results from the experiments summarized in this review clearly indicate that UV-B influences several potentially important processes and ecological interactions in the terrestrial ecosystems of Tierra del Fuego.
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ΔTraitSDMs: species distribution models that account for local adaptation and phenotypic plasticity

TL;DR: Overall, ΔTraitSDM predictions generally deliver a less alarming message than previous models of species distribution under new climates, indicating that phenotypic plasticity should help, to a considerable degree, some plant populations to persist under climate change.