ORCID Profile
0000-0002-6787-6192
Current Organisations
Aarhus University
,
Aarhus Universitet
,
Centre for Ecology and Hydrology Bangor
,
University of Exeter Cornwall Campus
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: American Geophysical Union (AGU)
Date: 04-2019
DOI: 10.1029/2019GH000198
Publisher: American Geophysical Union (AGU)
Date: 05-2020
DOI: 10.1029/2023GH000857
Abstract: The editors thank the 2022 peer reviewers In 2022, GeoHealth benefited from 333 reviews provided by 245 of our peers A number of in iduals submitted multiple reviews for GeoHealth in 2022
Publisher: American Geophysical Union (AGU)
Date: 03-2020
DOI: 10.1029/2020GH000250
Publisher: Wiley
Date: 20-10-2022
DOI: 10.1111/ELE.14123
Abstract: High-resolution monitoring is fundamental to understand ecosystems dynamics in an era of global change and bio ersity declines. While real-time and automated monitoring of abiotic components has been possible for some time, monitoring biotic components-for ex le, in idual behaviours and traits, and species abundance and distribution-is far more challenging. Recent technological advancements offer potential solutions to achieve this through: (i) increasingly affordable high-throughput recording hardware, which can collect rich multidimensional data, and (ii) increasingly accessible artificial intelligence approaches, which can extract ecological knowledge from large datasets. However, automating the monitoring of facets of ecological communities via such technologies has primarily been achieved at low spatiotemporal resolutions within limited steps of the monitoring workflow. Here, we review existing technologies for data recording and processing that enable automated monitoring of ecological communities. We then present novel frameworks that combine such technologies, forming fully automated pipelines to detect, track, classify and count multiple species, and record behavioural and morphological traits, at resolutions which have previously been impossible to achieve. Based on these rapidly developing technologies, we illustrate a solution to one of the greatest challenges in ecology: the ability to rapidly generate high-resolution, multidimensional and standardised data across complex ecologies.
Publisher: Cold Spring Harbor Laboratory
Date: 07-06-2023
DOI: 10.1101/2023.06.07.544003
Abstract: Understanding the ersity and composition of ecological communities is a key component in predicting future bio ersity responses to environmental change and implications for ecosystem health. Linking across the domains of life and trophic levels is also essential for understanding whole-ecosystem dynamics but is often challenging to perform and limited in scope. In particular, it is unclear to what extent cross-domain correlations in bio ersity are determined by common abiotic drivers or species interactions. Here we analyse data from a unique bio ersity dataset gathered across a variety of oceanic temperate terrestrial habitats comprising 300 sites with co-located soil microbial, plant, bird and pollinator surveys along with climate and soil physicochemical information. Soil microbial groups are analysed using metabarcoding of the 16S, ITS and 18S DNA regions, allowing in depth characterisation of microbial community composition and ersity. Using Bayesian hierarchical regression models, we show that a positive correlation between plant ersity and soil bacterial and fungal ersity is actually driven by non-linear responses to changing soil pH, with the exception of AM fungi which show positive associations with plant ersity at low soil pH. However, positive associations between plant ersity and bird, and pollinator ersity persisted after accounting for changes in climate. The composition of soil bacteria, fungi, bees, butterflies and birds are all impacted by the plant community in conjunction with edaphic factors. The heterotrophic protistan community strongly tracks the bacterial community in both ersity and composition. The residual associations between taxa after accounting for environmental variation in a joint species distribution model revealed cross-domain correlations. Overall, our results comprehensively show the differential responses, linkages and ergences of cross-Kingdom ersity and composition in aboveground-belowground ecological communities to environmental and biotic properties.
Publisher: American Geophysical Union (AGU)
Date: 05-2022
DOI: 10.1029/2022GH000639
Abstract: The editors thank the 2021 peer reviewers In 2021, GeoHealth benefited from 365 reviews provided by 241 of our peers A number of in iduals submitted multiple reviews for GeoHealth in 2021
Publisher: Wiley
Date: 19-04-2022
DOI: 10.1111/REC.13622
Abstract: Restoration ecologists have local‐ to global‐scale ambitions in a policy framework of sustainable development goals and reversing bio ersity loss. Emphasis is given to environmental alteration, typically considering land degradation and climate change. Other related environmental drivers, such as pollution, receive less attention. Here we emphasize that terrestrial restoration discourse needs to consider tropospheric ozone (O 3 ) pollution. O 3 's pervasive influence on plants and other ecosystem components provides for the possibility of consequences at community and ecosystem levels. The precursor chemicals that lead to O 3 formation are increasing, precipitously so in rapidly industrializing regions of the world. Yet, a review of critical restoration guidance and journals suggests that because O 3 is out of sight, it remains out of mind. Based on a narrative cross‐discipline literature review, we examine: (1) How O 3 could affect the achievement of restoration goals and (2) How restoration interventions could feedback on tropospheric O 3 . Evidence, currently limited, suggests that O 3 could impair the achievement of restoration goals to as great an extent as other drivers, but, in general, we lack direct quantification. Restoration interventions (e.g. tree planting) that may be considered successful can actually exacerbate O 3 pollution with negative consequences for food security and human health. These wide‐ranging effects, across multiple goals, mean that O 3 is not out of scope for restoration science, policy, and practice. In detailing a strategic ozone‐aware restoration agenda, we suggest how restoration science and policy can quantify O 3 's influence, while outlining steps practitioners can take to adapt to/mitigate the impacts of O 3 pollution.
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Jamie Alison.