Science Enabled by Specimen Data

Tazikeh, S., S. Zendehboudi, S. Ghafoori, A. Lohi, and N. Mahinpey. 2022. Algal bioenergy production and utilization: Technologies, challenges, and prospects. Journal of Environmental Chemical Engineering 10: 107863. https://doi.org/10.1016/j.jece.2022.107863

Increasing demand for energy and also escalating environmental pollution show that industries cannot rely on fossil fuels, and it is necessary to adopt an alternative. In recent decades, algal bioenergy has emerged as a renewable energy source in different industries. However, algal bioenergy production is costly and faces different challenges and unknown aspects that need to be addressed. Experimental and theoretical research works have revealed that the efficiency of algal bioenergy production is influenced by several factors, including algae species, temperature, light, CO2, cultivation method, and available nutrients. Algal bioenergy production on commercial scales in cost-effective ways is the main aim of industries to compete with fossil fuels. Hence, it is vital to have a comprehensive knowledge of the previous findings and attain a suitable pathway for future studies/activities. In the present review paper, the potential of microalgae bioenergy production, influential parameters, previous experimental and theoretical studies, and different methods for microalgae biofuel production from cultivation stage to utilization are reviewed. Moreover, this work discusses the engineering activities and economic analysis of microalgae cultivation to utilization, and also useful suggestions are made for future research works. The outcomes of the present work confirm that innovative engineering methods can overcome scale-up challenging, increase the rate of production, and decrease the cost of algae bioenergy production. Hence, there is no long way to produce cost-effective algae bioenergy on commercial scales.

Chevalier, M. 2022. <i>crestr</i>: an R package to perform probabilistic climate reconstructions from palaeoecological datasets. Climate of the Past 18: 821–844. https://doi.org/10.5194/cp-18-821-2022

Abstract. Statistical climate reconstruction techniques are fundamental tools to study past climate variability from fossil proxy data. In particular, the methods based on probability density functions (or PDFs) can be used in various environments and with different climate proxies because they rely on elementary calibration data (i.e. modern geolocalised presence data). However, the difficulty of accessing and curating these calibration data and the complexity of interpreting probabilistic results have often limited their use in palaeoclimatological studies. Here, I introduce a new R package (crestr) to apply the PDF-based method CREST (Climate REconstruction SofTware) on diverse palaeoecological datasets and address these problems. crestr includes a globally curated calibration dataset for six common climate proxies (i.e. plants, beetles, chironomids, rodents, foraminifera, and dinoflagellate cysts) associated with an extensive range of climate variables (20 terrestrial and 19 marine variables) that enables its use in most terrestrial and marine environments. Private data collections can also be used instead of, or in combination with, the provided calibration dataset. The package includes a suite of graphical diagnostic tools to represent the data at each step of the reconstruction process and provide insights into the effect of the different modelling assumptions and external factors that underlie a reconstruction. With this R package, the CREST method can now be used in a scriptable environment and thus be more easily integrated with existing workflows. It is hoped that crestr will be used to produce the much-needed quantified climate reconstructions from the many regions where they are currently lacking, despite the availability of suitable fossil records. To support this development, the use of the package is illustrated with a step-by-step replication of a 790 000-year-long mean annual temperature reconstruction based on a pollen record from southeastern Africa.

Afonin, A. N., O. G. Baranova, Y. A. Fedorova, L. M. Abramova, T. F. Boshko, N. V. Kotsareva, Yu. S. Li, et al. 2022. ECOLOGICAL AND GEOGRAPHICAL POTENTIAL OF <i>AMBROSIA ARTEMISIIFOLIA</i> L. DISTRIBUTION TO THE NORTH OF THE EUROPEAN RUSSIA BASED ON A COMPARISON OF THE NORTHERN BOUNDARIES OF THE PRIMARY AND SECONDARY RANGES. Russian Journal of Biological Invasions 15: 2–12. https://doi.org/10.35885/1996-1499-15-1-2-12

В ходе экспедиционных исследований уточнена современная фактическая граница натурализации Аmbrosia artemisiifolia на Европейской территории России. Эта граница проходит по югу Брянской, Курской и Саратовской, северу Воронежской областей. Общая протяжённость экспедиционных маршрутов составила около 8900 км, количество обследованных точек – 777. В целях выявления потенциала дальнейшего продвижения вида на север проведён сравнительный эколого-географический анализ и моделирование распространения амброзии на севере её вторичного ареала на Европейской территории России и первичного – в Канаде. Выявлено, что основным фактором, лимитирующим продвижение вида на север, служит недостаточная теплообеспеченность периода созревания семян. Для определения эколого-географической ниши амброзии была составлена глобальная карта распределения сумм активных температур с порогом выше 10 °С за период от даты перехода длины дня через 14 часов после летнего солнцестояния до устойчивого перехода осенних температур через 0 °С (САТфп). Было определено значение САТфп на самых северных точках натурализации Аmbrosia artemisiifolia на Европейской территории России и в Канаде. Сравнение эколого-географических границ по фактору теплообеспеченности на Европейской территории России и в Канаде показало, что реализованная видом эколого-географическая ниша на Североамериканском континенте в настоящее время в целом шире, чем на Европейской территории России. Рассмотрены возможные причины, по которым амброзия не освоила всю потенциальную экологическую нишу на Европейской территории России, сделаны предположения о возможности дальнейшего продвижения вида на север. Амброзия по фактору теплообеспеченности на Европейской территории России может продвинуться дальше на север – в Брянскую, Орловскую, Липецкую, Тамбовскую, Саратовскую, Оренбургскую, южную половину Пензенской, юг Ульяновской, Самарской областей и Башкортостана. Дополнительные проблемы с продвижением вида в северо-восточном направлении на Европейской территории России могут быть обусловлены сопряжённым неблагоприятным воздействием дополнительного фактора – недостаточной влагообеспеченности, поскольку от Саратовской области и восточнее амброзия на северном пределе распространения находится в зоне экологического пессимума одновременно по показателям тепло- и влагообеспеченности.

Laeseke, P., B. Martínez, A. Mansilla, and K. Bischof. 2021. Invaders in waiting? Non-equilibrium in Southern Hemisphere seaweed distributions may lead to underestimation of Antarctic invasion potential. Frontiers of Biogeography 13. https://doi.org/10.21425/f5fbg50879

Bioinvasions pose a major threat to global biodiversity. Correlative Ecological Niche Models (ENMs) can be a valuable tool to identify invaders and invasion sites. However, in cases when species are in non-equilibrium with their native environment (i.e. do not fill their niche), correlative approach…

Goldsmit, J., R. W. Schlegel, K. Filbee-Dexter, K. A. MacGregor, L. E. Johnson, C. J. Mundy, A. M. Savoie, et al. 2021. Kelp in the Eastern Canadian Arctic: Current and Future Predictions of Habitat Suitability and Cover. Frontiers in Marine Science 18. https://doi.org/10.3389/fmars.2021.742209

Climate change is transforming marine ecosystems through the expansion and contraction of species’ ranges. Sea ice loss and warming temperatures are expected to expand habitat availability for macroalgae along long stretches of Arctic coastlines. To better understand the current distribution of kelp…

Xue, T., S. R. Gadagkar, T. P. Albright, X. Yang, J. Li, C. Xia, J. Wu, and S. Yu. 2021. Prioritizing conservation of biodiversity in an alpine region: Distribution pattern and conservation status of seed plants in the Qinghai-Tibetan Plateau. Global Ecology and Conservation 32: e01885. https://doi.org/10.1016/j.gecco.2021.e01885

The Qinghai-Tibetan Plateau (QTP) harbors abundant and diverse plant life owing to its high habitat heterogeneity. However, the distribution pattern of biodiversity hotspots and their conservation status remain unclear. Based on 148,283 high-resolution occurrence coordinates of 13,450 seed plants, w…

Grebennikov, K. 2021. Ecological niche modeling to assessment of potential distribution of Neodiprion abietis (Harris, 1841) (Insecta, Hymenoptera, Diprionidae) in Eurasia. International Journal of Agricultural Sciences and Technology 1: 1–7. https://doi.org/10.51483/ijagst.1.1.2021.1-7

In the article first assesses the potential distribution in Eurasia of Neodiprion abietis (Harris, 1841) first time assessed. The species id a widely distributed in North America fir and spruce defoliator, intercepted in 2016 in the Netherlands. Analysis of the literature data on the known distribut…

López‐Delgado, J., and P. G. Meirmans. 2021. History or demography? Determining the drivers of genetic variation in North American plants. Molecular Ecology 31: 1951–1962. https://doi.org/10.1111/mec.16230

Understanding the impact of historical and demographic processes on genetic variation is essential for devising conservation strategies and predicting responses to climate change. Recolonization after Pleistocene glaciations is expected to leave distinct genetic signatures, characterised by lower ge…

Rock, B. M., and B. H. Daru. 2021. Impediments to Understanding Seagrasses’ Response to Global Change. Frontiers in Marine Science 8. https://doi.org/10.3389/fmars.2021.608867

Uncertainties from sampling biases present challenges to ecologists and evolutionary biologists in understanding species sensitivity to anthropogenic climate change. Here, we synthesize possible impediments that can constrain research to assess present and future seagrass response from climate chang…

Briscoe Runquist, R. D., T. A. Lake, and D. A. Moeller. 2021. Improving predictions of range expansion for invasive species using joint species distribution models and surrogate co‐occurring species. Journal of Biogeography 48: 1693–1705. https://doi.org/10.1111/jbi.14105

Aims: Species distribution models (SDMs) are often used to forecast potential distributions of important invasive or rare species. However, situations where models could be the most valuable ecologically or economically, such as for predicting invasion risk, often pose the greatest challenges to SDM…