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X-WR-CALNAME:International Initiative for Theoretical Ecology
X-ORIGINAL-URL:https://iite.info
X-WR-CALDESC:Events for International Initiative for Theoretical Ecology
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TZOFFSETFROM:-0800
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TZNAME:PDT
DTSTART:20210314T100000
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TZOFFSETFROM:-0700
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TZNAME:PST
DTSTART:20211107T090000
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210601T090000
DTEND;TZID=America/Los_Angeles:20210601T100000
DTSTAMP:20261022T175102
CREATED:20210518T155821Z
LAST-MODIFIED:20210601T105248Z
UID:1005-1622538000-1622541600@iite.info
SUMMARY:Chuliang Song (McGill University): An environment-dependent framework to study ecological networks
DESCRIPTION:Abstract: Ecological networks—how species interactions are organized within ecological communities—are highly structured\, which has motivated generations of ecologists to elucidate how these structures affect species coexistence. Unfortunately\, we still do not have a clear and consistent answer about the link between network structure and species coexistence. A possible explanation is that most of the studies do not take into account that the environment affects both network structure and species coexistence due to the multidimensional and changing nature of environmental factors. In this context\, the structural stability approach provides a theoretical framework grounded on biological realism to quantitatively link network structure\, species coexistence\, and environmental factors. In this talk\, I will introduce the theoretical framework and computational tools of the structural stability approach\, and present the empirical validation using field and experimental observations. \nThe Zoom link is the usual: https://liu-se.zoom.us/j/63158449287
URL:https://iite.info/event/chuliang-song-mcgill-university/
CATEGORIES:IITE Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210615T090000
DTEND;TZID=America/Los_Angeles:20210615T100000
DTSTAMP:20261022T175102
CREATED:20210328T193436Z
LAST-MODIFIED:20210328T194251Z
UID:967-1623747600-1623751200@iite.info
SUMMARY:Neo Martinez (Indiana University): Predicting Ecosystem Phenotype from Community Genotype: Can Allometric Trophic Network Theory Help Meet the Challenge?
DESCRIPTION:Abstract:\nTheoretical ecology has investigated a series of concepts from stability and complexity through biodiversity and ecosystem function to coexistence and tipping points for which empirical data typically plays a less-than-satisfying role. To coax theoretical ecology towards increased empirical relevance and broader scientific synthesis\, I propose that environmental biologists focus on predicting key characteristics of an ecosystem from the genotypes within its constituent communities. Such metagenomes effectively identify the organisms and their interactions within ecosystems. Following the first of several “virtual cells” built by systems biologists that predicts a human pathogen’s phenotype from its genotype\, powerful social (e.g.\, structured collaborations)\, scientific (e.g.\, networks of networks) and technical (e.g.\, computer and data science) concepts for accomplishing the proposed task will be described along with a plausible workflow based on allometric trophic network theory. Anticipated benefits include more integrated\, mechanistic\, and predictive theory of how ecosystem structure and function emerge from organisms interacting within a habitat. \nZoom link: https://liu-se.zoom.us/j/63158449287 \nPast lectures are on the YouTube channel: https://www.youtube.com/c/TheoreticalEcologySeminarSeries \neventbrite link (for reminders): https://www.eventbrite.co.uk/e/theoretical-ecology-seminar-series-tickets-119884512805
URL:https://iite.info/event/neo-martinez-predicting-ecosystem-phenotype-from-community-genotype-can-allometric-trophic-network-theory-help-meet-the-challenge/
CATEGORIES:IITE Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210629T090000
DTEND;TZID=America/Los_Angeles:20210629T100000
DTSTAMP:20261022T175102
CREATED:20210506T193513Z
LAST-MODIFIED:20210622T033302Z
UID:1001-1624957200-1624960800@iite.info
SUMMARY:Rafael D'Andrea (Stony Brook University): Counting niches: Can spatial patterns reveal niche partitioning in tropical forests?
DESCRIPTION:Abstract: \nWe investigate the idea that tropical biodiversity is maintained by a combination of niche segregation and niche sharing among species by asking whether tree species in Barro Colorado Island\, Panama\, fall into groups differing by the local conditions where they typically occur. We first group together species often found near each other\, then show that the resulting three groups are statistically associated with distinct local nutrient levels. Finally\, we find clear distinctions among those groups in traits associated with life history strategies. \nZoom link: https://liu-se.zoom.us/j/63158449287 \nPast lectures are on the YouTube channel: https://www.youtube.com/c/TheoreticalEcologySeminarSeries \neventbrite link (for reminders): https://www.eventbrite.co.uk/e/theoretical-ecology-seminar-series-tickets-119884512805
URL:https://iite.info/event/rafael-dandrea-stony-brook-university/
CATEGORIES:IITE Seminar
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