Science Enabled by Specimen Data
Raggi, L., C. Zucchini, E. Sayde, D. Gigante, and V. Negri. 2024. Priority areas for the establishment of genetic reserves to actively protect key crop wild relative species in Italy. Global Ecology and Conservation 50: e02836. https://doi.org/10.1016/j.gecco.2024.e02836
Crop Wild Relatives (CWR) are wild plant taxa genetically close to a crop. Being a precious source of genetic variability and of traits for crop improvement, CWR have a high socio-economic value and are identified among the main plant genetic resources. Alarming enough, the inter- and intraspecific diversity, as well as their habitat diversity, is under threat of irremediable loss. Italy is the second richest country in Europe in terms of plant species number; applying the taxon group concept 5712 have been recently identified as CWR. The aims of the present research are to identify the best sites for: i) the institution of genetic reserves to actively protect CWR species of the key crop genera as Allium, Brassica and Triticum and ii) performing new collection missions to reach adequate ex situ conservation of target species. Georeferenced data were retrieved from different online databases. CAPFITOGEN tools were initially used to develop an ecogeographic land characterisation map (ELC) of Italy. Geographical distribution data were assembled for 379 populations of 18 CWR taxa. Results of the complementarity analysis showed that 10 protected areas provide coverage of the 46.4% of the target conservation units and include 66.7% of the priority CWR taxa investigated. Alarming enough, only 7.4% of the 379 populations are currently conserved ex situ; among the 18 ecogeographic land characterisation categories only 3 are covered by ex situ conservation. This is the first study where most suitable protected areas for the institution of genetic reserves are proposed for Italy for the protection of multiple CWR taxa of key genera; this is relevant also considering the global value of many of the related crop such as different wheat species, cabbages, rape, garlic and onion. Being already dedicated to habitat and species conservation, the identified sites are optimal candidates for the institution of genetic reserves. Results will hopefully also guide new collecting missions that are urgently needed to strength ex situ conservation of such precious genetic resources.
Rautela, K., A. Kumar, S. K. Rana, A. Jugran, and I. D. Bhatt. 2024. Distribution, Chemical Constituents and Biological Properties of Genus Malaxis. Chemistry & Biodiversity. https://doi.org/10.1002/cbdv.202301830
The genus Malaxis (family Orchidaceae), comprises nearly 183 species available across the globe. The plants of this genus have long been employed in traditional medical practices because of their numerous biological properties, like the treatment of infertility, hemostasis, burning sensation, bleeding diathesis, fever, diarrhea, dysentery, febrifuge, tuberculosis, etc. Various reports highlight their phytochemical composition and biological activities. However, there is a lack of systematic review on the distribution, phytochemistry, and biological properties of this genus. Hence, this study aims to conduct a thorough and critical review of Malaxis species, covering data published from 1965 to 2022 with nearly 90 articles. Also, it examines different bioactive compounds, their chemistry, and pharmacotherapeutics as well as their traditional uses. A total of 191 unique compounds, including the oil constituents were recorded from Malaxis species. The highest active ingredients were obtained from Malaxis acuminata (103) followed by Malaxis muscifera (50) and Malaxis rheedei (33). In conclusion, this review offers an overview of the current state of knowledge on Malaxis species and highlights prospects for future research projects on them. Additionally, it recommends the promotion of domestication studies for rare medicinal orchids like Malaxis and the prompt implementation of conservation measures.
Noori, S., A. Hofmann, D. Rödder, M. Husemann, and H. Rajaei. 2024. A window to the future: effects of climate change on the distribution patterns of Iranian Zygaenidae and their host plants. Biodiversity and Conservation. https://doi.org/10.1007/s10531-023-02760-2
Climate change has been suggested as an important human-induced driver for the ongoing sixth mass extinction. As a common response to climate change, and particularly global warming, species move toward higher latitudes or shift uphill. Furthermore, rapid climate change impacts the biotic interactions of species, particularly in the case of Zygaenid moths which exhibit high specialization in both habitat and host plant preferences. Iranian Zygaenidae are relatively well-known and represent a unique fauna with a high endemism rate (46%) in the whole Palearctic; as such they are a good model group to study the impact of climate change on future distributions. In this study, we used species distribution models (SDMs) and ensembles of small models (ESMs) to investigate the impact of climate change on the future distribution of endemic and non-endemic species of zygaenids, as well as their larval host plants. Three different climate scenarios were applied to forecast the probable responses of the species to different climate change intensities. Our results suggest that the central and southern parts of the country will be impacted profoundly by climate change compared to the northern regions. Beyond this, most endemic species will experience an altitudinal shift from their current range, while non-endemic species may move towards higher latitudes. Considering that the regions with higher diversity of zygaenids are limited to mountainous areas, mainly within the Irano-Anatolian biodiversity hotspot, the identification of their local high diversity regions for conservation practices has a high priority.
Silva-Valderrama, I., J.-R. Úrbez-Torres, and T. J. Davies. 2024. From host to host: The taxonomic and geographic expansion of Botryosphaeriaceae. Fungal Biology Reviews 48: 100352. https://doi.org/10.1016/j.fbr.2023.100352
Fungal pathogens are responsible for 30% of emerging infectious diseases (EIDs) in plants. The risk of a pathogen emerging on a new host is strongly tied to its host breadth; however, the determinants of host range are still poorly understood. Here, we explore the factors that shape host breadth of plant pathogens within Botryosphaeriaceae, a fungal family associated with several devastating diseases in economically important crops. While most host plants are associated with just one or a few fungal species, some hosts appear to be susceptible to infection by multiple fungi. However, the variation in the number of fungal taxa recorded across hosts is not easily explained by heritable plant traits. Nevertheless, we reveal strong evolutionary conservatism in host breadth, with most fungi infecting closely related host plants, but with some notable exceptions that seem to have escaped phylogenetic constraints on host range. Recent anthropogenic movement of plants, including widespread planting of crops, has provided new opportunities for pathogen spillover. We suggest that constraints to pathogen distributions will likely be further disrupted by climate change, and we may see future emergence events in regions where hosts are present but current climate is unfavorable.
[NO TITLE AVAILABLE] https://doi.org/10.5281/zenodo.10125252
(no abstract available)
Örücü, Ö. K., E. S. Arslan, E. Hoşgör, I. Kaymaz, and S. Gülcü. 2023. Potential distribution pattern of the Quercus brantii Lindl. and Quercus frainetto Ten. under the future climate conditions. European Journal of Forest Research. https://doi.org/10.1007/s10342-023-01636-y
This research aims to predict the potential distribution patterns of Brant's oak ( Quercus brantii Lindl.) and Hungarian oak ( Quercus frainetto Ten.) using three different climate models: HadGEM3-GC31-LL, MPI-ESM1-2-HR, and INM-CM5-0, all with a spatial resolution of 30 s (1 km 2 ). These models were developed for CMIP 6 and utilize scenarios of SSP2-4.5 and SSP5-8.5 for various time periods spanning from 2041 to 2100. To compare the current potential distribution area with those of the periods for different climate models, a change analysis was conducted. The study area covers distribution areas extending from the coastline of Portugal to the southwest of Iran. When comparing the medium–low and high forcing climate models based on the climate sensitivity, we observed that the distribution patterns of both species vary depending on the scenario and time period. Compared to the current distribution, suitable areas of Quercus brantii Lindl. expected to decrease as 84% (109,854 km 2 ) for HadGEM3-GC31-LL climate model and SSP5-8.5 scenario 2081–2100 time period. On the other hand, suitable areas of Quercus frainetto Ten. expected to increase as 59% (618,848 km 2 ) for INM-CM5-0 climate model and SSP5-8.5 during the time period 2081–2100. When it comes to change analysis result, HadGEM3-GC31-LL climate model and SSP5-8.5 scenario project the most significant alterations in the distribution areas of Quercus frainetto Ten. and Quercus brantii Lindl. during the time period 2081–2100, resulting in a loss of 763,046 km 2 and 220,759 km 2 , respectively. The results of the change analysis indicate that the areas marked as loss and gain for both species exhibit differences between the climate change scenarios and time periods. The findings of this research highlight that climate models offer a technological approach to adaptive forest management, enabling the development of strategies to mitigate issues related to climate change.
Rauber, R. B., J. P. Martini, M. A. Cendoya, and S. Bogino. 2023. Potential niche for Pinus halepensis Mill. invasion in South America: a modelling approach. Phytocoenologia 51: 357–366. https://doi.org/10.1127/phyto/2023/0412
Biological invasions are a widely known problem throughout the world, because of the damage they cause to the environment and biotic communities. In Argentina, many exotic woody species have been introduced by humans for ornamental or economic purposes, among them Pinus halepensis. This species has a high invasive potential, given its physiological plasticity and stress tolerance. Aims of this study were to determine the envi- ronmental variables that favored invasion of P. halepensis, and to assess the habitat suitability for the species throughout South America. For this, we used the maximum entropy algorithm (Maxent) and twenty one cli- matic variables from the WorldClim website. The significant predictive variables were the mean temperature of coldest quarter, annual precipitation, isothermality, precipitation of driest month, mean diurnal range, and the mean temperature of wettest quarter. The most suitable areas would correspond to the central-eastern region of Argentina, Uruguay and Central Chile. According to results, the high plasticity of the species, and considering the current discussion on climate change, which predicts an increase in severe droughts and extreme tempera- ture events, an even more favorable environment for the invasion of P. halepensis is to be expected.
Qin, F., T. Xue, X. Zhang, X. Yang, J. Yu, S. R. Gadagkar, and S. Yu. 2023. Past climate cooling and orogenesis of the Hengduan Mountains have influenced the evolution of Impatiens sect. Impatiens (Balsaminaceae) in the Northern Hemisphere. BMC Plant Biology 23. https://doi.org/10.1186/s12870-023-04625-w
Background Impatiens sect. Impatiens is distributed across the Northern Hemisphere and has diversified considerably, particularly within the Hengduan Mountains (HDM) in southwest China. Yet, the infra-sectional phylogenetic relationships are not well resolved, largely due to limited taxon sampling and an insufficient number of molecular markers. The evolutionary history of its diversification is also poorly understood. In this study, plastome data and the most complete sampling to date were used to reconstruct a robust phylogenetic framework for this section. The phylogeny was then used to investigate its biogeographical history and diversification patterns, specifically with the aim of understanding the role played by the HDM and past climatic changes in its diversification. Results A stable phylogeny was reconstructed that strongly supported both the monophyly of the section and its division into seven major clades (Clades I-VII). Molecular dating and ancestral area reconstruction suggest that sect. Impatiens originated in the HDM and Southeast China around 11.76 Ma, after which different lineages dispersed to Northwest China, temperate Eurasia, and North America, mainly during the Pliocene and Pleistocene. An intercontinental dispersal event from East Asia to western North America may have occurred via the Bering Land Bridge or Aleutian Islands. The diversification rate was high during its early history, especially with the HDM, but gradually decreased over time both within and outside the HDM. Multiple linear regression analysis showed that the distribution pattern of species richness was strongly associated with elevation range, elevation, and mean annual temperature. Finally, ancestral niche analysis indicated that sect. Impatiens originated in a relatively cool, middle-elevation area. Conclusions We inferred the evolutionary history of sect. Impatiens based on a solid phylogenetic framework. The HDM was the primary source or pump of its diversity in the Northern Hemisphere. Orogeny and climate change may have also shaped its diversification rates, as a steady decrease in the diversification rate coincided with the uplift of the HDM and climate cooling. These findings provide insights into the distribution pattern of sect. Impatiens and other plants in the Northern Hemisphere.
Zhang, H., W. Guo, and W. Wang. 2023. The dimensionality reductions of environmental variables have a significant effect on the performance of species distribution models. Ecology and Evolution 13. https://doi.org/10.1002/ece3.10747
How to effectively obtain species‐related low‐dimensional data from massive environmental variables has become an urgent problem for species distribution models (SDMs). In this study, we will explore whether dimensionality reduction on environmental variables can improve the predictive performance of SDMs. We first used two linear (i.e., principal component analysis (PCA) and independent components analysis) and two nonlinear (i.e., kernel principal component analysis (KPCA) and uniform manifold approximation and projection) dimensionality reduction techniques (DRTs) to reduce the dimensionality of high‐dimensional environmental data. Then, we established five SDMs based on the environmental variables of dimensionality reduction for 23 real plant species and nine virtual species, and compared the predictive performance of those with the SDMs based on the selected environmental variables through Pearson's correlation coefficient (PCC). In addition, we studied the effects of DRTs, model complexity, and sample size on the predictive performance of SDMs. The predictive performance of SDMs under DRTs other than KPCA is better than using PCC. And the predictive performance of SDMs using linear DRTs is better than using nonlinear DRTs. In addition, using DRTs to deal with environmental variables has no less impact on the predictive performance of SDMs than model complexity and sample size. When the model complexity is at the complex level, PCA can improve the predictive performance of SDMs the most by 2.55% compared with PCC. At the middle level of sample size, the PCA improved the predictive performance of SDMs by 2.68% compared with the PCC. Our study demonstrates that DRTs have a significant effect on the predictive performance of SDMs. Specifically, linear DRTs, especially PCA, are more effective at improving model predictive performance under relatively complex model complexity or large sample sizes.
Metreveli, V., H. Kreft, I. Akobia, Z. Janiashvili, Z. Nonashvili, L. Dzadzamia, Z. Javakhishvili, and A. Gavashelishvili. 2023. Potential Distribution and Suitable Habitat for Chestnut (Castanea sativa). Forests 14: 2076. https://doi.org/10.3390/f14102076
Chestnut, Castanea sativa Miller (Fagales: Fagaceae), is an ecologically and economically important tree species of the forest ecosystem in Southern Europe, North-Western Europe, Western Asia, North Africa, and the Caucasus. The distributional range of chestnut in Europe has been highly modified by humans since ancient times. Biotic and abiotic factors have dramatically changed its distribution. Historic anthropogenic range expansion makes it difficult to identify habitat requirements for natural stands of chestnut. In the Caucasus, natural stands of chestnut survived in glacial forest refugia and landscapes that have been difficult for humans to colonize. To identify the species reliable habitat requirements, we estimated the relationship between climatic variables and 620 occurrence locations of natural chestnut stands from the Caucasus and validated the model using GBIF data from outside the Caucasus. We found that our best model is reasonably accurate and the data from the Caucasus characterize chestnut stands throughout the species range well.