Biotic interactions in driving biodiversity : Insights into spatial modelling
The effects of co-occurring species, namely biotic interactions, govern performance and assemblages of species along with abiotic factors. They can emerge as positive or negative, with the outcome and magnitude of their impact depending on species and environmental conditions. However, no general co...
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ftunivhelsihelda:oai:helda.helsinki.fi:10138/161433 2023-08-20T04:08:43+02:00 Biotic interactions in driving biodiversity : Insights into spatial modelling Mod, Heidi Callaway, Ragan University of Helsinki, Faculty of Science, Department of Geosciences and Geography, Division of Biogeosciences Helsingin yliopisto, matemaattis-luonnontieteellinen tiedekunta, geotieteiden ja maantieteen laitos Helsingfors universitet, matematisk-naturvetenskapliga fakulteten, institutionen för geovetenskaper och geografi Luoto, Miska Heikkinen, Risto Väre, Henry 2016-05-06T05:53:03Z application/pdf http://hdl.handle.net/10138/161433 eng eng Helsingin yliopisto Helsingfors universitet University of Helsinki URN:ISBN:978-951-51-1353-5 Unigrafia Oy: 2016, Department of Geosciences and Geography A. 1798-7911 http://hdl.handle.net/10138/161433 URN:ISBN:978-951-51-1354-2 Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited. Publikationen är skyddad av upphovsrätten. Den får läsas och skrivas ut för personligt bruk. Användning i kommersiellt syfte är förbjuden. maantiede Text Doctoral dissertation (article-based) Artikkeliväitöskirja Artikelavhandling doctoralThesis 2016 ftunivhelsihelda 2023-07-28T06:10:15Z The effects of co-occurring species, namely biotic interactions, govern performance and assemblages of species along with abiotic factors. They can emerge as positive or negative, with the outcome and magnitude of their impact depending on species and environmental conditions. However, no general conception of the role of biotic interactions in functioning of ecosystems exists. Implementing correlative spatial modelling approaches, combined with extensive data on species and environmental factors, would complement the understanding of biotic interactions and biodiversity. Moreover, the modelling frameworks themselves, conventionally based on abiotic predictors only, could benefit from incorporating biotic interactions and their context-dependency. In this thesis, I study the influence of biotic interactions in ecosystems and examine whether their effects vary among species and environmental gradients (sensu stress gradient hypothesis = SGH), and consequently, across landscapes. Species traits are hypothesized to govern the species-specific outcomes, while the SGH postulates that the frequency of positive interactions is higher under harsh environmental conditions, whereas negative interactions dominate at benign and productive sites. The study applies correlative spatial models utilizing both regression models and machine-learning methods, and fine-scale (1 m2) data on vascular plant, bryophyte and lichen communities from Northern Finland and Norway (69°N, 21°E). In addition to conventional distribution models of individual species (SDM), also species richness, traits and fitness are modelled to capture the community-level impacts of biotic interactions. The underlying methodology is to incorporate biotic predictors into the abiotic-only models and to examine the impacts of biotic interactions and their dependency on species traits and environmental conditions. Cover values of the dominant species of the study area are used as proxies for the intensity of their impact on other species. The results show, firstly, ... Doctoral or Postdoctoral Thesis Northern Finland Helsingfors Universitet: HELDA – Helsingin yliopiston digitaalinen arkisto Norway |
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Helsingfors Universitet: HELDA – Helsingin yliopiston digitaalinen arkisto |
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ftunivhelsihelda |
language |
English |
topic |
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maantiede Mod, Heidi Biotic interactions in driving biodiversity : Insights into spatial modelling |
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maantiede |
description |
The effects of co-occurring species, namely biotic interactions, govern performance and assemblages of species along with abiotic factors. They can emerge as positive or negative, with the outcome and magnitude of their impact depending on species and environmental conditions. However, no general conception of the role of biotic interactions in functioning of ecosystems exists. Implementing correlative spatial modelling approaches, combined with extensive data on species and environmental factors, would complement the understanding of biotic interactions and biodiversity. Moreover, the modelling frameworks themselves, conventionally based on abiotic predictors only, could benefit from incorporating biotic interactions and their context-dependency. In this thesis, I study the influence of biotic interactions in ecosystems and examine whether their effects vary among species and environmental gradients (sensu stress gradient hypothesis = SGH), and consequently, across landscapes. Species traits are hypothesized to govern the species-specific outcomes, while the SGH postulates that the frequency of positive interactions is higher under harsh environmental conditions, whereas negative interactions dominate at benign and productive sites. The study applies correlative spatial models utilizing both regression models and machine-learning methods, and fine-scale (1 m2) data on vascular plant, bryophyte and lichen communities from Northern Finland and Norway (69°N, 21°E). In addition to conventional distribution models of individual species (SDM), also species richness, traits and fitness are modelled to capture the community-level impacts of biotic interactions. The underlying methodology is to incorporate biotic predictors into the abiotic-only models and to examine the impacts of biotic interactions and their dependency on species traits and environmental conditions. Cover values of the dominant species of the study area are used as proxies for the intensity of their impact on other species. The results show, firstly, ... |
author2 |
Callaway, Ragan University of Helsinki, Faculty of Science, Department of Geosciences and Geography, Division of Biogeosciences Helsingin yliopisto, matemaattis-luonnontieteellinen tiedekunta, geotieteiden ja maantieteen laitos Helsingfors universitet, matematisk-naturvetenskapliga fakulteten, institutionen för geovetenskaper och geografi Luoto, Miska Heikkinen, Risto Väre, Henry |
format |
Doctoral or Postdoctoral Thesis |
author |
Mod, Heidi |
author_facet |
Mod, Heidi |
author_sort |
Mod, Heidi |
title |
Biotic interactions in driving biodiversity : Insights into spatial modelling |
title_short |
Biotic interactions in driving biodiversity : Insights into spatial modelling |
title_full |
Biotic interactions in driving biodiversity : Insights into spatial modelling |
title_fullStr |
Biotic interactions in driving biodiversity : Insights into spatial modelling |
title_full_unstemmed |
Biotic interactions in driving biodiversity : Insights into spatial modelling |
title_sort |
biotic interactions in driving biodiversity : insights into spatial modelling |
publisher |
Helsingin yliopisto |
publishDate |
2016 |
url |
http://hdl.handle.net/10138/161433 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_relation |
URN:ISBN:978-951-51-1353-5 Unigrafia Oy: 2016, Department of Geosciences and Geography A. 1798-7911 http://hdl.handle.net/10138/161433 URN:ISBN:978-951-51-1354-2 |
op_rights |
Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited. Publikationen är skyddad av upphovsrätten. Den får läsas och skrivas ut för personligt bruk. Användning i kommersiellt syfte är förbjuden. |
_version_ |
1774721167545860096 |