ORCID Profile
0000-0001-6612-9366
Current Organisation
University of Helsinki
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Publisher: Wiley
Date: 03-11-2021
DOI: 10.1111/GCB.15947
Abstract: The species composition of plant and animal assemblages across the globe has changed substantially over the past century. How do the dynamics of in idual species cause this change? We classified species into seven unique categories of temporal dynamics based on the ordered sequence of presences and absences that each species contributes to an assemblage time series. We applied this framework to 14,434 species trajectories comprising 280 assemblages of temperate marine fishes surveyed annually for 20 or more years. Although 90% of the assemblages erged in species composition from the baseline year, this compositional change was largely driven by only 8% of the species' trajectories. Quantifying the reorganization of assemblages based on species shared temporal dynamics should facilitate the task of monitoring and restoring bio ersity. We suggest ways in which our framework could provide informative measures of compositional change, as well as leverage future research on pattern and process in ecological systems.
Publisher: Wiley
Date: 07-2018
DOI: 10.1111/GEB.12729
Publisher: American Association for the Advancement of Science (AAAS)
Date: 18-10-2019
Abstract: Bio ersity is undergoing rapid change driven by climate change and other human influences. Blowes et al. analyze the global patterns in temporal change in bio ersity using a large quantity of time-series data from different regions (see the Perspective by Eriksson and Hillebrand). Their findings reveal clear spatial patterns in richness and composition change, where marine taxa exhibit the highest rates of change. The marine tropics, in particular, emerge as hotspots of species richness losses. Given that human activities are affecting bio ersity in magnitudes and directions that differ across the planet, these findings will provide a much needed biogeographic understanding of bio ersity change that can help inform conservation prioritization. Science , this issue p. 339 see also p. 308
Publisher: The Royal Society
Date: 29-05-2023
Abstract: Estimating bio ersity change across the planet in the context of widespread human modification is a critical challenge. Here, we review how bio ersity has changed in recent decades across scales and taxonomic groups, focusing on four ersity metrics: species richness, temporal turnover, spatial beta- ersity and abundance. At local scales, change across all metrics includes many ex les of both increases and declines and tends to be centred around zero, but with higher prevalence of declining trends in beta- ersity (increasing similarity in composition across space or biotic homogenization) and abundance. The exception to this pattern is temporal turnover, with changes in species composition through time observed in most local assemblages. Less is known about change at regional scales, although several studies suggest that increases in richness are more prevalent than declines. Change at the global scale is the hardest to estimate accurately, but most studies suggest extinction rates are probably outpacing speciation rates, although both are elevated. Recognizing this variability is essential to accurately portray how bio ersity change is unfolding, and highlights how much remains unknown about the magnitude and direction of multiple bio ersity metrics at different scales. Reducing these blind spots is essential to allow appropriate management actions to be deployed. This article is part of the theme issue ‘Detecting and attributing the causes of bio ersity change: needs, gaps and solutions’.
Publisher: Cold Spring Harbor Laboratory
Date: 26-11-2019
DOI: 10.1101/841833
Abstract: Climate change is reshaping global bio ersity as species respond to changing temperatures. However, the net effects of climate-driven species redistribution on local assemblage ersity remain unknown. Here, we relate trends in species richness and abundance from 21,500 terrestrial and marine assemblage time series across temperate regions (23.5-60.0°) to changes in air or sea surface temperature. We find a strong coupling between bio ersity and temperature changes in the marine realm, which is conditional on the baseline climate. We detect increases in species richness with increasing temperature that is twice as pronounced in warmer locations, while abundance declines with warming in the warmest marine locations. In contrast, we did not detect systematic temperature-related richness or abundance trends on land, despite a greater magnitude of warming. We also found no evidence for an interaction between bio ersity change and latitude, further emphasizing the importance of baseline climate in structuring assemblages. As the world is committed to further warming, significant challenges remain in maintaining local bio ersity amongst the non-uniform inflow and outflow of “climate migrants” across distinct regions, especially in the ocean.
Publisher: Wiley
Date: 25-01-2019
DOI: 10.1111/ECOG.04117
Publisher: Wiley
Date: 03-2023
DOI: 10.1111/BRV.12939
Abstract: Ecologists routinely use statistical models to detect and explain interactions among ecological drivers, with a goal to evaluate whether an effect of interest changes in sign or magnitude in different contexts. Two fundamental properties of interactions are often overlooked during the process of hypothesising, visualising and interpreting interactions between drivers: the measurement scale – whether a response is analysed on an additive or multiplicative scale, such as a ratio or logarithmic scale and the symmetry – whether dependencies are considered in both directions. Overlooking these properties can lead to one or more of three inferential errors: misinterpretation of ( i ) the detection and magnitude (Type‐D error), and ( ii ) the sign of effect modification (Type‐S error) and ( iii ) misidentification of the underlying processes (Type‐A error). We illustrate each of these errors with a broad range of ecological questions applied to empirical and simulated data sets. We demonstrate how meta‐analysis, a widely used approach that seeks explicitly to characterise context dependence, is especially prone to all three errors. Based on these insights, we propose guidelines to improve hypothesis generation, testing, visualisation and interpretation of interactions in ecology.
Publisher: Wiley
Date: 02-11-2016
DOI: 10.1111/GEB.12532
Publisher: Springer Science and Business Media LLC
Date: 04-05-2020
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Laura Antão.