Madli Jõks

ORCID: 0000-0003-0175-4595
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About
Contact & Profiles
Research Areas
  • Ecology and Vegetation Dynamics Studies
  • Plant and animal studies
  • Forest Ecology and Biodiversity Studies
  • Species Distribution and Climate Change
  • Mycorrhizal Fungi and Plant Interactions
  • Geology and Paleoclimatology Research
  • Forest Insect Ecology and Management
  • Wildlife-Road Interactions and Conservation
  • Evolution and Paleontology Studies
  • Research in Social Sciences

University of Tartu
2018-2025

The loss of ancient forests threatens many species. Effective nature conservation needs information on how forest availability in the surrounding landscape space and time determines diversity multiple taxa. We explored relationship between at different spatiotemporal scales various groups: vascular plants (woody species, ground layer), epiphytes (bryophytes lichens), fungi (ectomycorrhizal, arbuscular mycorrhizal, pathogenic, saprotrophic), carabid beetles. Besides observed diversity, we...

10.1007/s10980-024-01960-7 article EN cc-by-nc-nd Landscape Ecology 2024-08-15

Abstract Aim Geological processes of island growth and erosion, in addition to eustatic sea‐level fluctuations, alter key physical properties oceanic islands, such as area, elevation isolation over time. These dynamics operate similar time‐scales the biogeographical colonization, speciation extinction, thus should strongly affect biodiversity patterns we observe them today. Here, study effects geological history fluctuations on Hawaiian, Galapagos Canary Islands, using an agent‐based...

10.1111/geb.13220 article EN Global Ecology and Biogeography 2020-11-23

Although islands as natural laboratories have held the attention of scientists for centuries, they continue to offer new study questions, especially in context current biodiversity crisis. To date, habitat diversity on and spatial configuration archipelagos received less than classical island area isolation. Moreover, field where experiments are impossible, correlative methods dominated, despite call more mechanistic approaches. We developed an agent‐based computer simulation effect...

10.1111/ecog.03985 article EN Ecography 2018-09-22
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