Science Enabled by Specimen Data
Rifki Hariri, M., A. S. Dwipa Irsyam, R. Ratnasih Irwanto, and K. Kusnadi. 2022. The Extended Distributional Areas of Solanum lasiocarpum (Solanaceae) in Sumatra, Indonesia. Jurnal Penelitian Hutan dan Konservasi Alam 19: 279–286. https://doi.org/10.20886/jphka.2022.19.2.279-286
Solanum is one of Solanaceae's largest genera, where some species are usually used as food and medicine. Until recently, 15 species of Solanum subg. Leptostemonum has been listed in Sumatra, Indonesia. Solanum lasiocarpum Dunal is a native Leptostemonum found in Indonesia. S. lasiocarpum was only recorded in Northern Sumatra by several botanists. In 2019, S. lasiocarpum was also reported from Bengkulu, but there were still doubts about these findings. During the expedition of invasive alien plant species in Padang Bindu, Sumatra Selatan, in May 2021, we discovered S. lasiocarpum with different noticeable characteristics from S. lasiocarpum, which was previously found in Bengkulu. Detailed examination of the morphological characters, our study revealed that that species was S. lasiocarpum. This finding suggested an extended distributional record for S. lasiocarpum in Sumatra.
Ralimanana, H., A. L. Perrigo, R. J. Smith, J. S. Borrell, S. Faurby, M. T. Rajaonah, T. Randriamboavonjy, et al. 2022. Madagascar’s extraordinary biodiversity: Threats and opportunities. Science 378. https://doi.org/10.1126/science.adf1466
Madagascar’s unique biota is heavily affected by human activity and is under intense threat. Here, we review the current state of knowledge on the conservation status of Madagascar’s terrestrial and freshwater biodiversity by presenting data and analyses on documented and predicted species-level conservation statuses, the most prevalent and relevant threats, ex situ collections and programs, and the coverage and comprehensiveness of protected areas. The existing terrestrial protected area network in Madagascar covers 10.4% of its land area and includes at least part of the range of the majority of described native species of vertebrates with known distributions (97.1% of freshwater fishes, amphibians, reptiles, birds, and mammals combined) and plants (67.7%). The overall figures are higher for threatened species (97.7% of threatened vertebrates and 79.6% of threatened plants occurring within at least one protected area). International Union for Conservation of Nature (IUCN) Red List assessments and Bayesian neural network analyses for plants identify overexploitation of biological resources and unsustainable agriculture as the most prominent threats to biodiversity. We highlight five opportunities for action at multiple levels to ensure that conservation and ecological restoration objectives, programs, and activities take account of complex underlying and interacting factors and produce tangible benefits for the biodiversity and people of Madagascar.
Zhang, X., X. Ci, J. Hu, Y. Bai, A. H. Thornhill, J. G. Conran, and J. Li. 2022. Riparian areas as a conservation priority under climate change. Science of The Total Environment: 159879. https://doi.org/10.1016/j.scitotenv.2022.159879
Identifying climatic refugia is important for long-term conservation planning under climate change. Riparian areas have the potential to provide climatic refugia for wildlife, but literature remains limited, especially for plants. This study was conducted with the purpose of identifying climatic refugia of plant biodiversity in the portion of the Mekong River Basin located in Xishuangbanna, China. We first predicted the current and future (2050s and 2070s) potential distribution of 50 threatened woody species in Xishuangbanna by using an ensemble of small models, then stacked the predictions for individual species to derive spatial biodiversity patterns within each 10 × 10 km grid cell. We then identified the top 17 % of the areas for spatial biodiversity patterns as biodiversity hotspots, with climatic refugia defined as areas that remained as biodiversity hotspots over time. Stepwise regression and linear correlation were applied to analyze the environmental correlations with spatial biodiversity patterns and the relationships between climatic refugia and river distribution, respectively. Our results showed potential upward and northward shifts in threatened woody species, with range contractions and expansions predicted. The spatial biodiversity patterns shift from southeast to northwest, and were influenced by temperature, precipitation, and elevation heterogeneity. Climatic refugia under climate change were related closely to river distribution in Xishuangbanna, with riparian areas identified that could provide climatic refugia. These refugial zones are recommended as priority conservation areas for mitigating the impacts of climate change on biodiversity. Our study confirmed that riparian areas could act as climatic refugia for plants and emphasizes the conservation prioritization of riparian areas within river basins for protecting biodiversity under climate change.
Yu, J., Y. Niu, Y. You, C. J. Cox, R. L. Barrett, A. Trias‐Blasi, J. Guo, et al. 2022. Integrated phylogenomic analyses unveil reticulate evolution in Parthenocissus (Vitaceae), highlighting speciation dynamics in the Himalayan‐Hengduan Mountains. New Phytologist. https://doi.org/10.1111/nph.18580
Hybridization caused by frequent environmental changes can lead to both species diversification (speciation) and speciation reversal (despeciation), but the latter has rarely been demonstrated. Parthenocissus, a genus with its trifoliolate lineage in the Himalayan‐Hengduan Mountains (HHM) region showing perplexing phylogenetic relationships, provides an opportunity for investigating speciation dynamics based on integrated evidence.We investigated phylogenetic discordance and reticulate evolution in Parthenocissus based on rigorous analyses of plastome and transcriptome data. We focussed on reticulations in the trifoliolate lineage in the HHM region using a population‐level genome resequencing dataset, incorporating evidence from morphology, distribution, and elevation.Comprehensive analyses confirmed multiple introgressions within Parthenocissus in a robust temporal‐spatial framework. Around the HHM region, at least three hybridization hotspots were identified, one of which showed evidence of ongoing speciation reversal.We present a solid case study using an integrative methodological approach to investigate reticulate evolutionary history and its underlying mechanisms in plants. It demonstrates an example of speciation reversal through frequent hybridizations in the HHM region, which provides new perspectives on speciation dynamics in mountainous areas with strong topographic and environmental heterogeneity.
García, L., J. Veneros, S. Chavez, M. Oliva, and N. B. Rojas Briceño. 2022. World historical mapping and potential distribution of Cinchona spp. in Peru as a contribution for its restoration and conservation. Journal for Nature Conservation: 126290. https://doi.org/10.1016/j.jnc.2022.126290
Peru is a megadiverse country in neotropical flora and is home to an important genus of plants called Cinchona and commonly all its individual species are called Cinchona Tree (Cinchona spp.), which represents the national tree for this nation. This country has 18 species, a group of these species are listed as vulnerable, endangered, and their population trend is currently unknown. This genus is at risk of extinction due to overexploitation for its medicinal, constructive and food uses. The IUCN also mentions that increased species assessments and records will help make the IUCN Red List a “barometer of life”. Based on the fact that understanding the effects of environmental change on ecosystems requires the identification of historical and current baselines, which can act as reference conditions, this research generated georeferenced global historical maps of Cinchona spp. and then determined the appropriate sites based on environmental variables using the Maxent software and established the probabilities of occurrence of this genus in Peru to establish priority areas for its conservation and restoration. Four maps were obtained, one for each centennial, from 1737 to the present, with 10,860 occurrences of Cinchona. In the MaxEnt modeling, 10.30 % (13 3172.56 km2) and 19.20 % (24 7371.32 km2) of Peru's surface area had high (> 0.6) and moderate (0.4 - 0.6) probabilities, respectively, of hosting Cinchona. Only 7.6 % (17 305.32 km2) and 22.0 % (50 153.73 km2) of the areas with high and moderate distribution potential, respectively, were covered by natural protected areas. Likewise, 11.90 % (21 738.75 km2) and 33.20 % (60 789.17 km2) of the high and moderate probability lands, respectively, correspond to degraded areas (DAs) and, therefore, are considered a priority for restoration with Cinchona spp. The results may stimulate the rethinking of decision making for the National Action Plan for Reforestation with Species of the Genus Cinchona and other plans or tools for Cinchona conservation in Peru.
Coca‐de‐la‐Iglesia, M., N. G. Medina, J. Wen, and V. Valcárcel. 2022. Evaluation of the tropical‐temperate transitions: An example of climatic characterization in the Asian Palmate group of Araliaceae. American Journal of Botany. https://doi.org/10.1002/ajb2.16059
(no abstract available)
Zhang, Q., J. Ye, C. Le, D. M. Njenga, N. R. Rabarijaona, W. O. Omollo, L. Lu, et al. 2022. New insights into the formation of biodiversity hotspots of the Kenyan flora. Diversity and Distributions. https://doi.org/10.1111/ddi.13624
Aim This study aimed to investigate the distribution patterns of plant diversity in Kenya, how climatic fluctuations and orogeny shaped them, and the formation of its β-diversity. Location Kenya, East Africa. Taxon Angiosperms. Methods We quantified patterns of turnover and nestedness components of phylogenetic β-diversity for angiosperm species among neighbouring sites using a well-resolved phylogenetic tree and extensive distribution records from public databases and other published sources. We applied clustering methods to delineate biota based on pairwise similarities among multiple sites and used a random assembly null model to assess the effects of species abundance distribution on phylogenetic β-diversity. Results The phylogenetic turnover of the Kenyan flora, intersecting with the biodiversity hotspots Eastern Afromontane, Coastal Forests of Eastern Africa, and Horn of Africa, shows a non-monotonic pattern along a latitudinal gradient that is strongly structured into volcanic and coastal areas. The other areas are mainly dominated by phylogenetic nestedness, even in the eastern part of the equatorial region parallel to the volcanic area. Phylogenetic diversity and phylogenetic structure analyses explain the mechanism of the observed phylogenetic turnover and nestedness patterns. We identified five phytogeographical regions in Kenya: the Mandera, Turkana, Volcanic, Pan Coastal and West Highland Regions. Conclusions Variations in turnover gradient and coexistence are highly dependent on the regional biogeographical history resulting from climatic fluctuations and long-lasting orogeny, which jointly shaped the biodiversity patterns of the Kenyan flora. The nestedness component dominated climatically unstable regions and is presumed to have been caused by heavy local species extinction and recolonization from the Volcanic Region. The high turnover component in climatically stable regions may have preserved old lineages and the prevalence of endemic species within narrow ranges.
Lannuzel, G., L. Pouget, D. Bruy, V. Hequet, S. Meyer, J. Munzinger, and G. Gâteblé. 2022. Mining rare Earth elements: Identifying the plant species most threatened by ore extraction in an insular hotspot. Frontiers in Ecology and Evolution 10. https://doi.org/10.3389/fevo.2022.952439
Conservation efforts in global biodiversity hotspots often face a common predicament: an urgent need for conservation action hampered by a significant lack of knowledge about that biodiversity. In recent decades, the computerisation of primary biodiversity data worldwide has provided the scientific community with raw material to increase our understanding of the shared natural heritage. These datasets, however, suffer from a lot of geographical and taxonomic inaccuracies. Automated tools developed to enhance their reliability have shown that detailed expert examination remains the best way to achieve robust and exhaustive datasets. In New Caledonia, one of the most important biodiversity hotspots worldwide, the plant diversity inventory is still underway, and most taxa awaiting formal description are narrow endemics, hence by definition hard to discern in the datasets. In the meantime, anthropogenic pressures, such as nickel-ore mining, are threatening the unique ultramafic ecosystems at an increasing rate. The conservation challenge is therefore a race against time, as the rarest species must be identified and protected before they vanish. In this study, based on all available datasets and resources, we applied a workflow capable of highlighting the lesser known taxa. The main challenges addressed were to aggregate all data available worldwide, and tackle the geographical and taxonomic biases, avoiding the data loss resulting from automated filtering. Every doubtful specimen went through a careful taxonomic analysis by a local and international taxonomist panel. Geolocation of the whole dataset was achieved through dataset cross-checking, local botanists’ field knowledge, and historical material examination. Field studies were also conducted to clarify the most unresolved taxa. With the help of this method and by analysing over 85,000 data, we were able to double the number of known narrow endemic taxa, elucidate 68 putative new species, and update our knowledge of the rarest species’ distributions so as to promote conservation measures.
Führding‐Potschkat, P., H. Kreft, and S. M. Ickert‐Bond. 2022. Influence of different data cleaning solutions of point‐occurrence records on downstream macroecological diversity models. Ecology and Evolution 12. https://doi.org/10.1002/ece3.9168
Digital point‐occurrence records from the Global Biodiversity Information Facility (GBIF) and other data providers enable a wide range of research in macroecology and biogeography. However, data errors may hamper immediate use. Manual data cleaning is time‐consuming and often unfeasible, given that the databases may contain thousands or millions of records. Automated data cleaning pipelines are therefore of high importance. Taking North American Ephedra as a model, we examined how different data cleaning pipelines (using, e.g., the GBIF web application, and four different R packages) affect downstream species distribution models (SDMs). We also assessed how data differed from expert data. From 13,889 North American Ephedra observations in GBIF, the pipelines removed 31.7% to 62.7% false positives, invalid coordinates, and duplicates, leading to datasets between 9484 (GBIF application) and 5196 records (manual‐guided filtering). The expert data consisted of 704 records, comparable to data from field studies. Although differences in the absolute numbers of records were relatively large, species richness models based on stacked SDMs (S‐SDM) from pipeline and expert data were strongly correlated (mean Pearson's r across the pipelines: .9986, vs. the expert data: .9173). Our results suggest that all R package‐based pipelines reliably identified invalid coordinates. In contrast, the GBIF‐filtered data still contained both spatial and taxonomic errors. Major drawbacks emerge from the fact that no pipeline fully discovered misidentified specimens without the assistance of taxonomic expert knowledge. We conclude that application‐filtered GBIF data will still need additional review to achieve higher spatial data quality. Achieving high‐quality taxonomic data will require extra effort, probably by thoroughly analyzing the data for misidentified taxa, supported by experts.
Zhao, J., X. Yu, W. J. Kress, Y. Wang, Y. Xia, and Q. Li. 2022. Historical biogeography of the gingers and its implications for shifts in tropical rain forest habitats. Journal of Biogeography 49: 1339–1351. https://doi.org/10.1111/jbi.14386
Aim The relationships between biome shifts and global environmental changes in temperate zone habitats have been extensively explored; yet, the historical dynamics of taxa found in the tropical rain forest (TRF) remain poorly known. This study aims to reconstruct the relationships between tropical rain forest shifts and global environmental changes through the patterns of historical biogeography of a pantropical family of monocots, the Zingiberaceae. Location Global. Taxon Zingiberaceae. Methods We sampled DNA sequences (nrITS, trnK, trnL-trnF and psbA-trnH) from GenBank for 77% of the genera, including 30% of species, in the Zingiberaceae. Global fossil records of the Zingiberaceae were collected from literatures. Rates of speciation, extinction and diversification were estimated based on phylogenetic data and fossil records through methods implemented in BAMM. Ancestral ranges were estimated using single-tree BioGeoBEARS and multiple-trees BioGeoBEARS in RASP. Dispersal rate through time and dispersal rate among regions were calculated in R based on the result of ancestral estimation. Results The common ancestor of the Zingiberaceae likely originated in northern Africa during the mid-Cretaceous, with later dispersal to the Asian tropics. Indo-Burma, rather than Malesia, was likely a provenance of the common ancestor of Alpinioideae–Zingiberoideae. Several abrupt shifts of evolutionary rates from the Palaeocene were synchronized with sudden global environmental changes. Main conclusions Integrating phylogenetic patterns with fossil records suggests that the Zingiberaceae dispersed to Asia through drift of the Indian Plate from Africa in the late Palaeocene. Formation of island chains, land corridors and warming temperatures facilitated the emigration of the Zingiberaceae to a broad distribution across the tropics. Moreover, dramatic fluctuations of the speciation rate of Zingiberoideae appear to have been synchronized with global climate fluctuations. In general, the evolutionary history of the Zingiberaceae broadens our understanding of the association between TRF shifts in distribution and past global environmental changes, especially the origin of TRF in Southeast Asia.