ORCID Profile
0000-0002-5674-5322
Current Organisation
The University of Edinburgh
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Publisher: California Digital Library (CDL)
Date: 15-04-2022
Publisher: Cold Spring Harbor Laboratory
Date: 03-12-2018
DOI: 10.1101/473645
Abstract: Global assessments have highlighted land-use change as a key driver of bio ersity change. However, we lack real-world global-scale estimates of how habitat transformations such as forest loss and gain are reshaping bio ersity over time. Here, we quantify the influence of 150 years of forest cover change on populations and ecological assemblages worldwide and across taxa by analyzing change in 6,667 time series. We found that forest loss simultaneously intensified ongoing increases and decreases in abundance, species richness and temporal species replacement (turnover) by up to 48%. Temporal lags in these responses extended up to 50 years and increased with species’ generation time. Our findings demonstrate that land-use change precipitates ergent population and bio ersity change, highlighting the complex biotic consequences of deforestation and afforestation. Declines in forest cover lify both gains and losses in population abundance and bio ersity over time.
Publisher: American Association for the Advancement of Science (AAAS)
Date: 08-09-2023
Publisher: American Association for the Advancement of Science (AAAS)
Date: 19-06-2020
Abstract: Land-use change by humans, particularly forest loss, is influencing Earth's bio ersity through time. To assess the influence of forest loss on population and bio ersity change, Daskalova et al. integrated data from more than 6000 time series of species' abundance, richness, and composition in ecological assemblages around the world. Forest loss leads to both positive and negative responses of populations and bio ersity, and the temporal lags in population and bio ersity change after forest loss can extend up to half a century. Land-use change precipitates ergent population and bio ersity change. This analysis has consequences for projections of human impact, ongoing conservation, and assessments of bio ersity change. Science , this issue p. 1341
Publisher: Wiley
Date: 11-02-2022
DOI: 10.1111/GCB.16060
Abstract: Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km
Publisher: Wiley
Date: 03-2021
DOI: 10.1002/ECE3.7218
Publisher: Cold Spring Harbor Laboratory
Date: 03-02-2023
DOI: 10.1101/2023.02.03.526822
Abstract: Biotic responses to global change include directional shifts in organismal traits. Body size, an integrative trait that determines demographic rates and ecosystem functions, is often thought to be shrinking in the Anthropocene. Here, we assess the prevalence of body size change in six taxon groups across 5,032 assemblage time-series spanning 1960-2020. Using the Price equation to partition this change into within-species body size versus compositional changes, we detect prevailing decreases in body size through time. Change in assemblage composition contributes more to body size changes than within-species trends, but both components show substantial variation in magnitude and direction. The biomass of assemblages remains remarkably stable as decreases in body size trade-off with increases in abundance. Variable within-species and compositional trends combine into shrinking body size, abundance increases and stable biomass.
Publisher: American Association for the Advancement of Science (AAAS)
Date: 23-06-2023
Abstract: Ecological systems are quintessentially complex systems. Understanding and being able to predict phenomena typical of complex systems is, therefore, critical to progress in ecology and conservation amidst escalating global environmental change. However, myriad definitions of complexity and excessive reliance on conventional scientific approaches h er conceptual advances and synthesis. Ecological complexity may be better understood by following the solid theoretical basis of complex system science (CSS). We review features of ecological systems described within CSS and conduct bibliometric and text mining analyses to characterize articles that refer to ecological complexity. Our analyses demonstrate that the study of complexity in ecology is a highly heterogeneous, global endeavor that is only weakly related to CSS. Current research trends are typically organized around basic theory, scaling, and macroecology. We leverage our review and the generalities identified in our analyses to suggest a more coherent and cohesive way forward in the study of complexity in ecology.
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Gergana Daskalova.