Rosemary Margaret Smith

AbstractPremiseThe ecological conditions that constrain plants to an environmental niche are assumed to be constant through time. While the fossil record has been used previously to test for niche conservatism of woody flowering plants, additional studies are needed in other plant groups especially since they can provide insight with paleoclimatic reconstructions, high biodiversity in modern terrestrial ecosystems, and significant contributions to agriculture.MethodsWe tested climatic niche conservatism across time by characterizing the climatic niches of living herbaceous ginger plants (Zingiberaceae) and woody dawn redwood (Metasequoia) against paleoniches reconstructed based on fossil distribution data and paleoclimatic models.ResultsDespite few fossil Zingiberaceae occurrences in the latitudinal tropics, unlike living Zingiberaceae, extinct Zingiberaceae likely experienced paratropical conditions in the higher latitudes, especially in the Cretaceous and Paleogene. The living and fossil distributions of Metasequoia largely remain in the upper latitudes of the northern hemisphere. The Zingiberaceae shifted from an initial subtropical climatic paleoniche in the Cretaceous, toward a temperate regime in the late Cenozoic; Metasequoia occupied a more consistent climatic niche over the same time intervals.ConclusionsBecause of the inconsistent climatic niches of Zingiberaceae over geologic time, we are less confident of using them for taxonomic‐based paleoclimatic reconstruction methods like nearest living relative, which assume a consistent climatic niche between extant and extinct relatives; we argue that the consistent climatic niche of Metasequoia is more appropriate for these reconstructions. Niche conservatism cannot be assumed between extant and extinct plants and should be tested further in groups used for paleoclimatic reconstructions.

Traits associated with successful biological invasions across environmental gradients or geographical distances may vary depending on processes such as founder effects, ecological sorting, or adaptation to local conditions. Consequently, drivers of success are not necessarily consistent throughout the invasive range. We evaluate how plant traits, reproductive success and climatic preferences vary in populations of a naturalized orchid on islands in the Atlantic, Pacific and Indian oceans. Populations of Arundina graminifolia (bamboo orchid) were located on Puerto Rico, Hawaiian Islands (Hawai’i, O’ahu, Kaua’i), and Mauritius. Vegetative and reproductive traits were measured, and male and female success were assessed. Populations were compared using multivariate approaches. Species distribution modeling was used to assess potential climatic preferences within and among islands. Floral morphology differed among islands but considerable overlap in trait distributions exists. Reproductive success significantly differed among islands and was linked to floral traits, local pollinator pools and perhaps variable levels of florivory. Hawaiian populations occupied the broadest climatic niche space and Mauritius the most restricted. The effectiveness of using present points from the native range to reveal climatic suitability on invaded islands varied among islands. Successful invasions across a broad geographical range can occur even when morphology, reproductive success and climatic conditions are variable. As expected, some aspects of this global invasion are similar, but others differ among islands underscoring the context dependency of biological invasions and the difficulty of overall predictions. Los rasgos asociados a las invasiones biológicas exitosas a través de gradientes ambientales o distancias geográficas pueden variar dependiendo de procesos tales como el efecto fundador, el sorteo ecológico, o las adaptaciones a las condiciones locales. Consecuentemente, los impulsores del éxito no son necesariamente consistentes a través de la distribución invadida. Nosotros evaluamos cómo los rasgos, el éxito reproductivo y las preferencias climáticas varían en poblaciones de una orquídea naturalizada en islas de los océanos Atlántico, Pacífico e Índico. Las poblaciones de Arundina graminifolia (orquídea bambú) estaban localizadas en Puerto Rico, las Islas Hawaianas (Hawai’i, O’ahu, Kaua’i) y en la Isla de Mauricio. Los rasgos vegetativos y reproductivos fueron medidos, y el éxito reproductivo masculino y femenino fue evaluado. Comparamos las poblaciones usando enfoques estadísticos multivariados. También usamos modelos de distribución de especies para evaluar las preferencias climáticas tanto dentro de las islas, así como entre ellas. La morfología floral difirió entre islas, pero existe un sobrelapamiento considerable en la distribución de rasgos. El éxito reproductivo fue significativamente diferente entre islas, y estuvo ligado a los rasgos florales, el conjunto de polinizadores locales y, quizá, a niveles variables de florivoría. Las poblaciones hawaianas ocuparon el nicho climático más amplio mientras que las mauricianas ocuparon el más restringido. La efectividad de usar puntos de presencia de la distribución nativa para revelar la adecuación climática de las islas invadidas varió entre islas. Encontramos que las invasiones exitosas a través de una distribución geográfica amplia pueden ocurrir a pesar de la variabilidad en morfología, éxito reproductivo y condiciones climáticas. Como era de esperarse, algunos aspectos de esta invasión global son similares, pero otros difieren entre islas, haciendo hincapié en la dependencia del contexto de las invasiones biológicas y la dificultad de hacer predicciones generalizadas. Les traits associés aux invasions biologiques sur des gradients environnementaux ou des distances géographiques peuvent varier en fonction de processus tels que les effets fondateurs, le tri écologique ou l'adaptation aux conditions locales. Par conséquent, les facteurs de réussite ne sont pas nécessairement cohérents dans l'ensemble de l'aire de répartition de l'invasion. Nous évaluons comment les caractéristiques des plantes, le succès de la reproduction et les préférences climatiques varient dans les populations d'une orchidée naturalisée sur des îles des océans Atlantique, Pacifique et Indien. Les populations d'Arundina graminifolia (orchidée bambou) ont été localisées à Porto Rico, dans les îles hawaïennes (Hawai'i, O'ahu, Kaua'i) et à l'île Maurice. Les traits végétatifs et reproductifs ont été mesurés, et le succès reproductifs des mâles et des femelles a été évalué. Les populations ont été comparées à l'aide d'approches multivariées. La modélisation de la distribution des espèces a été utilisée pour évaluer les préférences climatiques potentielles au sein des îles et entre elles. La morphologie florale diffère d'une île à l'autre, mais il existe un chevauchement considérable dans la répartition des caractéristiques. Le succès de la reproduction diffère significativement entre les îles et est lié aux caractéristiques florales, aux réservoirs locaux de pollinisateurs et peut-être à des niveaux variables de florivorie. Les populations hawaïennes ont occupé la niche climatique la plus large et les populations mauriciennes la plus restreinte. L'efficacité de l'utilisation de points de présences dans l'aire de répartition indigène pour révéler l'adéquation climatique des îles envahies varie d'une île à l'autre. Des invasions réussies sur une vaste aire de répartition géographique peuvent se produire même lorsque la morphologie, le succès de la reproduction et les conditions climatiques sont variables. Comme prévu, certains aspects de cette invasion mondiale sont similaires, mais d'autres diffèrent d'une île à l'autre, ce qui souligne l’importance du contexte des invasions biologiques et la difficulté des prédictions globales.

Complex distribution data can be summarized by grouping species with similar or overlapping distributions to unravel spatial patterns and separate trends (e.g., of habitat loss) among spatially unique groups. However, such classifications are often heuristic, lacking the transparency, objectivity, and data‐driven rigor of quantitative methods, which limits their interpretability and utility. Here, we develop and illustrate the clustering of spatially associated species, a methodological framework aimed at statistically classifying species using explicit measures of interspecific spatial association. We investigate several association indices and clustering algorithms and show how these methodological choices drive substantial variations in clustering outcomes and performance. To facilitate robust decision‐making, we provide guidance on choosing methods appropriate to one's study objective(s). As a case study, we apply our framework to modeled tree distributions in Borneo and subsequently evaluate the impact of land‐cover change on separate species groupings. Based on the modeled distribution of 390 tree species prior to anthropogenic land‐cover changes, we identified 11 distinct clusters that unraveled ecologically meaningful patterns in Bornean tree distributions. These clusters then enabled us to quantify trends of habitat loss tied to each of those specific clusters, allowing us to discern particularly vulnerable species clusters and their distributions. This study demonstrates the advantages of adopting quantitatively derived clusters of spatially associated species and elucidates the potential of resultant clusters as a spatially explicit framework for investigating distribution‐related questions in ecology, biogeography, and conservation. By adopting our methodological framework and publicly available codes, practitioners can leverage the ever‐growing abundance of distribution data to better understand complex spatial patterns among species distributions and the disparate effects of global changes on biodiversity.

Outside humans, true agriculture was previously thought to be restricted to social insects farming fungus. However, obligate farming of plants by ants was recently discovered in Fiji, prompting a re-examination of plant cultivation by ants. Here, we generate a database of plant cultivation by ants, identify three main types, and show that these interactions evolved primarily for shelter rather than food. We find that plant cultivation evolved at least 65 times independently for crops (~200 plant species), and 15 times in farmer lineages (~37 ant taxa) in the Neotropics and Asia/Australasia. Because of their high evolutionary replication, and variation in partner dependence, these systems are powerful models to unveil the steps in the evolution and ecology of insect agriculture.

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.

Aims Human-induced pressures such as deforestation cause anthropogenic range contractions (ARCs). Such contractions present dynamic distributions that may engender data misrepresentations within species distribution models. The temporal bias of occurrence data—where occurrences represent distributions before (past bias) or after (recent bias) ARCs—underpins these data misrepresentations. Occurrence–habitat mismatching results when occurrences sampled before contractions are modelled with contemporary anthropogenic variables; niche truncation results when occurrences sampled after contractions are modelled without anthropogenic variables. Our understanding of their independent and interactive effects on model performance remains incomplete but is vital for developing good modelling protocols. Through a virtual ecologist approach, we demonstrate how these data misrepresentations manifest and investigate their effects on model performance. Location Virtual Southeast Asia. Methods Using 100 virtual species, we simulated ARCs with 100-year land-use data and generated temporally biased (past and recent) occurrence datasets. We modelled datasets with and without a contemporary land-use variable (conventional modelling protocols) and with a temporally dynamic land-use variable. We evaluated each model's ability to predict historical and contemporary distributions. Results Greater ARC resulted in greater occurrence–habitat mismatching for datasets with past bias and greater niche truncation for datasets with recent bias. Occurrence–habitat mismatching prevented models with the contemporary land-use variable from predicting anthropogenic-related absences, causing overpredictions of contemporary distributions. Although niche truncation caused underpredictions of historical distributions (environmentally suitable habitats), incorporating the contemporary land-use variable resolved these underpredictions, even when mismatching occurred. Models with the temporally dynamic land-use variable consistently outperformed models without. Main conclusions We showed how these data misrepresentations can degrade model performance, undermining their use for empirical research and conservation science. Given the ubiquity of ARCs, these data misrepresentations are likely inherent to most datasets. Therefore, we present a three-step strategy for handling data misrepresentations: maximize the temporal range of anthropogenic predictors, exclude mismatched occurrences and test for residual data misrepresentations.

Identifying physical and ecological boundaries that limit where species can occur is important for predicting how those species will respond to global change. The island of Borneo encompasses a wide range of habitats that support some of the highest richness on Earth, making it an ideal location for…

Plant invasion has been proved to threaten biodiversity conservation and ecosystem maintenance at a global scale. It is a challenge to project suitable habitat distributions of invasive plant species (IPS) for invasion risk assessment at large spatial scales. Interaction outcomes between native and …

Aim: Adaptation, migration and extinction of species is closely associated with climate changes and shape the distribution of biodiversity. The adaptive responses of species in the biodiversity hotspot, the Hengduan Mountains, to climate change remain poorly understood. Location: The Hengduan Mount…

Background The Sunda-Sahul Convergence Zone, defined here as the area comprising Australia, New Guinea, and Southeast Asia (Indonesia to Myanmar), straddles the Sunda and Sahul continental shelves and is one of the most biogeographically famous and important regions in the world. Floristically, it i…