Data-driven models for predicting community changes in freshwater ecosystems: A review

Lee, Da-Yeong; Lee, Dae‐Seong; Cha, YoonKyung; Min, Ji Hyun; Park, Young‐Seuk

doi:10.1016/j.ecoinf.2023.102163

Cited by 2 publications

(1 citation statement)

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“…Benthic invertebrate species differ in sensitivity toward environmental changes, dispersal capacity and ecological niches (Jowett & Richardson, 1990;Kenney et al, 2009). Their specific preferences for environmental conditions can be used in habitat suitability models, to predict their potential occurrence in stream networks (Hirzel & Le Lay, 2008) and analyse changes in community composition (Lee et al, 2023), Recently, species preferences were fed into the models as prior knowledge, to improve the performance of the models (Vermeiren et al, 2020(Vermeiren et al, , 2021. However, integrating dispersal and biotic interactions into habitat suitability models is difficult, and has rarely been done (Schuwirth et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Contributions of source populations, habitat suitability and trait overlap to benthic invertebrate community assembly in restored urban streams

Gillmann,

Schuwirth,

Lorenz

et al. 2024

Preprint

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Community development in restored streams is often slow or even absent, but reasons remain obscure. Inadequate restoration measures, catchment-scale pressures, community closure and colonization barriers all may prevent or slow down recovery processes. For initial colonization, dispersal processes are supposed to be most important, which are referred to as dispersal filter. Environmental conditions of a restored reach determine if a dispersing species can successfully establish (environmental filter). Lastly, while available niches at those reaches fill up, biotic interactions, such as competition, become more important (biotic filter). To investigate the importance of these different filters, we compared benthic invertebrate communities of 20 sites in the Boye catchment (Western Germany), a former open sewer system. The sites were grouped, based on the years since restoration, into ‘unimpacted’ (never restored), ‘recently restored’ (< 4 years) and ‘mature restored’ (> 10 years) sites. Data collected at 28 additional sites in the catchment informed us on distances to potential source populations. Habitat suitability describes the fit between environmental conditions (abiotic site data) and species preferences and was used to assess the role of environmental filtering. We evaluated the role of the biotic filter based on trait overlap, referring to possible interspecific competition.Communities collected at recently restored sites differed from those of mature restored and unimpacted sites. Taxa present at recently restored and mature sites had closer source populations than those of unimpacted sites. Taxa at mature and unimpacted sites had a better fit to the present habitats than those of recently restored sites. The trait overlap did not differ between co-occurring and not co-occurring taxa at any of the site groups. Our findings show that communities of mature restored sites that have been restored more than 10 years ago, resembled those of unimpacted sites. Dispersal was most important in early years of recovery. Taxa occurrences at sites with nearby source populations and low habitat suitability are likely the result of high rates of dispersal from upstream sources (mass effects). These can be caused by hatching events or environmental disturbances. Habitat suitability played a larger role for communities at mature and unimpacted sites which indicates that optimal communities shape over time. We did not find indications that competition played a role for community assembly. Hence, dispersal and habitat suitability were most relevant for species’ occurrences. Competition could be more important on micro scales and the results may differ if species abundances are taken into account.Graphical Abstract

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Section: Introductionmentioning

confidence: 99%

Contributions of source populations, habitat suitability and trait overlap to benthic invertebrate community assembly in restored urban streams

Gillmann,

Schuwirth,

Lorenz

et al. 2024

Preprint

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Optimizing Biodiversity Conservation in Sundaland through Advanced Geospatial Techniques and Remote Sensing Technologies

Gabi,

Abdullah

2024

BIO Web Conf.

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Sundaland ecosystems are under threat from human activity and climate change such as logging, agricultural practices, overexploitation of wildlife and climatic change that have led to frequent forest fires and a decline in indigenous plant and animal species. This study investigates the risks to Sundaland's biodiversity as well as the management possibilities using GIS, RS, and AI. The goal was to find out how artificial intelligence (AI) can be applied to effectively manage biodiversity and expand on the body of knowledge already available about the useful roles that GIS and RS play in the area. In this systematic method, seven databases were used to gather data from 110 research publications, of which 101 were screened for scope and subject variable. 80% (81articles) of the examined studies collected data using GIS and RS. It is found that. AI in biodiversity management is poised to grow, offering new opportunities to address the intricate challenges facing our planet's diverse ecosystems. In conclusion, for efficient monitoring, well-informed policy creation, and decision-making to guarantee the long-term preservation of Sundaland's biodiversity, integration of GIS, RS, and AI is essential.

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Data-driven models for predicting community changes in freshwater ecosystems: A review

Cited by 2 publications

References 229 publications

Contributions of source populations, habitat suitability and trait overlap to benthic invertebrate community assembly in restored urban streams

Contributions of source populations, habitat suitability and trait overlap to benthic invertebrate community assembly in restored urban streams

Optimizing Biodiversity Conservation in Sundaland through Advanced Geospatial Techniques and Remote Sensing Technologies

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