标本数据启用的科学
Graham, K. K., P. Glaum, J. Hartert, J. Gibbs, E. Tucker, R. Isaacs, and F. S. Valdovinos. 2024. A century of wild bee sampling: historical data and neural network analysis reveal ecological traits associated with species loss. Proceedings of the Royal Society B: Biological Sciences 291. https://doi.org/10.1098/rspb.2023.2837
We analysed the wild bee community sampled from 1921 to 2018 at a nature preserve in southern Michigan, USA, to study long-term community shifts in a protected area. During an intensive survey in 1972 and 1973, Francis C. Evans detected 135 bee species. In the most recent intensive surveys conducted in 2017 and 2018, we recorded 90 species. Only 58 species were recorded in both sampling periods, indicating a significant shift in the bee community. We found that the bee community diversity, species richness and evenness were all lower in recent samples. Additionally, 64% of the more common species exhibited a more than 30% decline in relative abundance. Neural network analysis of species traits revealed that extirpation from the reserve was most likely for oligolectic ground-nesting bees and kleptoparasitic bees, whereas polylectic cavity-nesting bees were more likely to persist. Having longer phenological ranges also increased the chance of persistence in polylectic species. Further analysis suggests a climate response as bees in the contemporary sampling period had a more southerly overall distribution compared to the historic community. Results exhibit the utility of both long-term data and machine learning in disentangling complex indicators of bee population trajectories.
Grether, G. F., A. E. Finneran, and J. P. Drury. 2023. Niche differentiation, reproductive interference, and range expansion. Ecology Letters. https://doi.org/10.1111/ele.14350
Understanding species distributions and predicting future range shifts requires considering all relevant abiotic factors and biotic interactions. Resource competition has received the most attention, but reproductive interference is another widespread biotic interaction that could influence species ranges. Rubyspot damselflies (Hetaerina spp.) exhibit a biogeographic pattern consistent with the hypothesis that reproductive interference has limited range expansion. Here, we use ecological niche models to evaluate whether this pattern could have instead been caused by niche differentiation. We found evidence for climatic niche differentiation, but the species that encounters the least reproductive interference has one of the narrowest and most peripheral niches. These findings strengthen the case that reproductive interference has limited range expansion and also provide a counterexample to the idea that release from negative species interactions triggers niche expansion. We propose that release from reproductive interference enables species to expand in range while specializing on the habitats most suitable for breeding.
Pérez, G., M. Vilà, and B. Gallardo. 2022. Potential impact of four invasive alien plants on the provision of ecosystem services in Europe under present and future climatic scenarios. Ecosystem Services 56: 101459. https://doi.org/10.1016/j.ecoser.2022.101459
Invasive alien species (IAS) are one of the main threats to biodiversity conservation, with significant socio-economic and ecological impacts as they disrupt ecosystem services and compromise human well-being. Global change may exacerbate the impacts of IAS, since rising temperatures and human activities favour their introduction and range expansion. Therefore, anticipating the impacts of biological invasions is crucial to support decision-making for their management. In this work, the potential impacts of four invasive alien plant species: Ailanthus altissima, Baccharis halimifolia, Impatiens glandulifera and Pueraria montana, on the provision of three ecosystem services in Europe were evaluated under current and future climate change scenarios. Using a risk analysis protocol, we determined that the most affected services are food provisioning, soil erosion regulation and the maintenance of biological diversity. To evaluate future impacts, species distribution models were calibrated using bioclimatic, environmental and human impact variables. We found that most of continental Europe is suitable for the establishment of A. altissima, B. halimifolia and I. glandulifera, while the potential distribution of P. montana is more limited. Models anticipate a shift in the distribution range for the species towards the north and east of Europe under future scenarios. Bivariate analysis allowed the identification of trends for future impacts in ecosystem services by simultaneously visualising the potential distribution of invasive species and the provision of ecosystem services. Our models project an increase in critical and high impact areas on the analysed ecosystem services, with Western Europe and the British Isles as the most affected regions. In comparison, lower impacts are projected for the Mediterranean region, likely as a consequence of the northwards expansion of invaders. Measures need to be taken to mitigate the expansion and impact of invasive species as our work shows that it can jeopardise the provision of three key services in Europe.
Skvarla, M. J., M. A. Bertone, and P. J. Liesch. 2022. Murder Hornet Mayhem: The Impact of the 2020 Giant Hornet Panic and COVID-19 Pandemic on Arthropod Identification Laboratories. American Entomologist 68: 38–43. https://doi.org/10.1093/ae/tmac029
(no abstract available)
Shirey, V., R. Khelifa, L. K. M’Gonigle, and L. M. Guzman. 2022. Occupancy–detection models with museum specimen data: Promise and pitfalls. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210x.13896
1. Historical museum records provide potentially useful data for identifying drivers of change in species occupancy. However, because museum records are typically obtained via many collection methods, methodological developments are needed in order to enable robust inferences. Occupancy‐detection models, a relatively new and powerful suite of statistical methods, are a potentially promising avenue because they can account for changes in collection effort through space and time.
Belitz, M. W., V. Barve, J. R. Doby, M. M. Hantak, E. A. Larsen, D. Li, J. A. Oswald, et al. 2021. Climate drivers of adult insect activity are conditioned by life history traits C. Scherber [ed.],. Ecology Letters 24: 2687–2699. https://doi.org/10.1111/ele.13889
Insect phenological lability is key for determining which species will adapt under environmental change. However, little is known about when adult insect activity terminates and overall activity duration. We used community‐science and museum specimen data to investigate the effects of climate and urbanisation on timing of adult insect activity for 101 species varying in life history traits. We found detritivores and species with aquatic larval stages extend activity periods most rapidly in response to increasing regional temperature. Conversely, species with subterranean larval stages have relatively constant durations regardless of regional temperature. Species extended their period of adult activity similarly in warmer conditions regardless of voltinism classification. Longer adult durations may represent a general response to warming, but voltinism data in subtropical environments are likely underreported. This effort provides a framework to address the drivers of adult insect phenology at continental scales and a basis for predicting species response to environmental change.
Li, D., Z. Li, Z. Liu, Y. Yang, A. G. Khoso, L. Wang, and D. Liu. 2022. Climate change simulations revealed potentially drastic shifts in insect community structure and crop yields in China’s farmland. Journal of Pest Science. https://doi.org/10.1007/s10340-022-01479-3
Climate change will cause drastic fluctuations in agricultural ecosystems, which in turn may affect global food security. We used ecological niche modeling to predict the potential distribution for four cereal aphids (i.e., Sitobion avenae, Rhopalosiphum padi, Schizaphis graminum, and Diurphis noxia…
Lewthwaite, J. M. M., and A. Ø. Mooers. 2021. Geographical homogenization but little net change in the local richness of Canadian butterflies A. Baselga [ed.],. Global Ecology and Biogeography 31: 266–279. https://doi.org/10.1111/geb.13426
Aim: Recent studies have found that local-scale plots measured through time exhibit marked variation in the change in species richness. However, the overall effect often reveals no net change. Most studies to date have been agnostic about the identities of the species lost/gained and about the proce…
Moore, M. P., K. Hersch, C. Sricharoen, S. Lee, C. Reice, P. Rice, S. Kronick, et al. 2021. Sex-specific ornament evolution is a consistent feature of climatic adaptation across space and time in dragonflies. Proceedings of the National Academy of Sciences 118. https://doi.org/10.1073/pnas.2101458118
Adaptation to different climates fuels the origins and maintenance of biodiversity. Detailing how organisms optimize fitness for their local climates is therefore an essential goal in biology. Although we increasingly understand how survival-related traits evolve as organisms adapt to climatic condi…
Sobral-Souza, T., J. Stropp, J. P. Santos, V. M. Prasniewski, N. Szinwelski, B. Vilela, A. V. L. Freitas, et al. 2021. Knowledge gaps hamper understanding the relationship between fragmentation and biodiversity loss: the case of Atlantic Forest fruit-feeding butterflies. PeerJ 9: e11673. https://doi.org/10.7717/peerj.11673
Background A key challenge for conservation biology in the Neotropics is to understand how deforestation affects biodiversity at various levels of landscape fragmentation. Addressing this challenge requires expanding the coverage of known biodiversity data, which remain to date restricted to a few w…