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The Global Naturalized Alien Flora (GloNAF) database
2019
This dataset provides the Global Naturalized Alien Flora (GloNAF) database, version 1.2. GloNAF represents a data compendium on the occurrence and identity of naturalized alien vascular plant taxa across geographic regions (e.g. countries, states, provinces, districts, islands) around the globe. The dataset includes 13,939 taxa and covers 1,029 regions (including 381 islands). The dataset is based on 210 data sources. For each taxon-by-region combination, we provide information on whether the taxon is considered to be naturalized in the specific region (i.e. has established self-sustaining populations in the wild). Non-native taxa are marked as “alien”, when it is not clear whether they are naturalized. To facilitate alignment with other plant databases, we provide for each taxon the name as given in the original data source and the standardized taxon and family names used by The Plant List Version 1.1 (http://www.theplantlist.org/). We provide an ESRI shapefile including polygons for each region and information on whether it is an island or a mainland region, the country and the Taxonomic Databases Working Group (TDWG) regions it is part of (TDWG levels 1–4). We also provide several variables that can be used to filter the data according to quality and completeness of alien taxon lists, which vary among the combinations of regions and data sources. A previous version of the GloNAF dataset (version 1.1) has already been used in several studies on, for example, historical spatial flows of taxa between continents and geographical patterns and determinants of naturalization across different taxonomic groups. We intend the updated and expanded GloNAF version presented here to be a global resource useful for studying plant invasions and changes in biodiversity from regional to global scales. We release these data into the public domain under a Creative Commons Zero license waiver (https://creativecommons.org/share-your-work/public-domain/cc0/). When you use the data in your publication, we request that you cite this data paper. If GloNAF is a major part of the data analyzed in your study, you should consider inviting the GloNAF core team (see Metadata S1: Originators in the Overall project description) as collaborators. If you plan to use the GloNAF dataset, we encourage you to contact the GloNAF core team to check whether there have been recent updates of the dataset, and whether similar analyses are already ongoing.
Journal Article
The Ecology and Evolution of Alien Plants
2018
We review the state of the art of alien plant research with emphasis on conceptual advances and knowledge gains on general patterns and drivers, biotic interactions, and evolution. Major advances include the identification of different invasion stages and invasiveness dimensions (geographic range, habitat specificity, local abundance) and the identification of appropriate comparators while accounting for propagule pressure and year of introduction. Developments in phylogenetic and functional trait research bear great promise for better understanding of the underlying mechanisms. Global patterns are emerging with propagule pressure, disturbance, increased resource availability, and climate matching as major invasion drivers, but species characteristics also play a role. Biotic interactions with resident communities shape invasion outcomes, with major roles for species diversity, enemies, novel weapons, and mutualists. Mounting evidence has been found for rapid evolution of invasive aliens and evolutionary responses of natives, but a mechanistic understanding requires tighter integration of molecular and phenotypic approaches. We hope the open questions identified in this review will stimulate further research on the ecology and evolution of alien plants.
Journal Article
Invasion success and impacts depend on different characteristics in non-native plants
2021
Aim Biological invasions threaten biodiversity globally. Large‐scale studies of non‐native plant species invasiveness typically focus on identifying ecological differences between naturalized and invasive species that account for their spread from sites of initial establishment (i.e., invasion success). However, invasive species differ widely in the magnitude of their impacts, suggesting the characteristics that favour invasion success might not necessarily predict the consequences of that invasion. Here we test whether those factors that increase the probability of plant species invasion also explain the severity of impacts. Location China. Methods We compiled a database of the invasiveness, biogeographic origins, life history traits, and introduction history for 538 non‐native plants in China and modelled differences in (a) naturalized and invasive species; (b) the spatial extent of invasion; and, (c) the severity of invasion impacts among successful invaders. Results Invasion success and the spatial extent of invasion shared similar influencing factors. However, these clearly differed from the predictors of severe invasion impacts. Unintentionally introduced non‐native plants with shorter life cycles and longer residence times were more likely to become invasive and to invade a larger area, while taller plants introduced from the Americas tended to have more severe impacts on the native ecosystems of China. Main Conclusions These results illustrate the different roles of introduction history, biogeographical origin and biological traits in determining the invasion success and spatial extent of invasion versus the severity of invasive species impacts. We suggest that factors associated with evolutionary adaptation and population expansion might determine invasion success and extent, while traits related to the relative competitive ability of invasive species determine the severity of impacts. Identifying specific characteristics of species that distinguish among successful invaders most likely to result in more severe impacts could help with planning more effective interventions.
Journal Article
Understanding and Promoting Thinking About Knowledge: Origins, Issues, and Future Directions of Research on Epistemic Cognition
by
Bråten, Ivar
,
Greene, Jeffrey A.
,
Sandoval, William A.
in
Belief
,
Cognition
,
Cognitive Development
2016
Epistemic cognition is the thinking that people do about what and how they know. Education has long been concerned with promoting reflection on knowledge and processes of knowing, but research into epistemic cognition began really in the past half century, with a tremendous expansion in the past 20 years. This review summarizes the broad range of psychological and education research that comprises the study of epistemic cognition, and it identifies various fault lines that currently prevent coherent synthesis of theoretical modeb and empirical findings. The fault lines include differences in how scholars conceptualize knowledge and cognition, and the contextual nature of epistemic cognition, with consequent differences in accounts of individual development, as well as in research methods. In the coming century, research that can integrate findings among individual, situative, and cultural accounts of cognition may enable the advancement of coherent modeh of epistemic cognition and its devebpment and support improved educational efforts aimed at such development.
Journal Article
Alien plant invasion in the Indian Himalayan Region: state of knowledge and research priorities
by
Bhatt, Indra D
,
Negi, Vikram S
,
Rawal, Ranbeer S
in
Ageratina adenophora
,
Climate change
,
Ecosystems
2019
Invasion by alien species is a global problem and forms one of the major drivers of global change. The researches on plant invasion have grown rapidly across the globe since the mid-twentieth century. However, in the Indian Himalayan Region (IHR) such studies are inadequate and have not been systematically conducted. Lack of empirical evidences on various described aspects of plant invasion in IHR are likely to aggravate the issue of invasion management in the region. This scenario would become more worst under changing climate. This study analyzed the results of an extensive review of the available information generated through Web of Science and Google scholar. A total of 297 naturalized alien plant species belongs to 65 families in the IHR are reported. Of the total 297 naturalized alien plant species in IHR, maximum species occur in Himachal Pradesh (232; 78.1%) followed by Jammu & Kashmir (192; 64.6%) and Uttarakhand (181; 60.90%). Among various invasive species, Lantana camara, Ageratina adenophora, Parthenium hysterophorus and Ageratum conyzoides have been reported from most of the IHR states and proliferated over larger area. Evidences available in the published studies are indicative that with tourism promotion and increasing roads networks, that passes through forests, many of the alien species in the IHR have started invading forests and even in alpine ecosystems. This study observed expansion of Ageratina adenophora up to 2900 m, which is higher than its reported elevation range (300–2800 m) in west Himalaya. These evidences suggest possible encroachment by alien species in hitherto invasion resilient higher Himalaya, particularly with emerging trends of increasing temperature and human disturbances. The present study also provides a multistage framework for investment on invasion researches in IHR. This will allow developing appropriate management strategies and policy planning for addressing issues pertaining to plant invasions across the IHR states.
Journal Article
Predicted Range Shifts of Non‐Native Grasses in Response to Climate Change Are Influenced by Photosynthetic Pathway: A Case Study in the Hawaiian Islands
by
Brock, Kelsey C.
,
Fortini, Lucas Berio
,
Faccenda, Kevin
in
Aridity
,
Climate change
,
geographic distribution
2026
Aim Grasses comprise three main photosynthetic pathway variants (C3‐BOP, C3‐PACMAD and C4‐PACMAD hereafter referred to as C4). We sought to confirm climate niche differences among these photosynthetic pathway variants and assessed whether predicted non‐native grass range shift patterns with climate change differ among photosynthetic pathway variants. Location Hawaiian Islands. Methods We used a species distribution modelling (SDM) approach that uses global occurrence records to inform local SDM based on local (Hawaiian Islands) occurrences. We compared climate niches and projected climate‐driven range shifts, assuming moderate climate change (RCP 4.5, end of century), among 22 non‐native grasses representing C3‐BOP, C3‐PACMAD and C4 photosynthetic pathway variants. Results C4 grasses exhibited the warmest temperature niches on average, but did not differ substantially in rainfall niche versus C3‐BOP grasses. C3‐PACMAD species averaged high suitability across a broad range of temperatures and rainfall conditions, except extreme aridity. In response to projected climate change, C4 grasses had projected range increases. C3‐BOP grasses typically responded with net range decreases, while C3‐PACMAD grasses had variable range responses. However, patterns were contingent on elevation: for instance, the projected expansion of C4 grasses was generally limited to elevations below 2000 m, with the largest increases in areas up to 750 m. Areas of greatest reduction for C3‐BOP and C3‐PACMAD were projected at 750–1900 m and 100–1100 m elevation, respectively. Above 2000 m, range increases were projected for both C3 grass variants. Main Conclusions Our projections suggest that non‐native C4 grasses pose the greatest risk for increasing spread and impacts under RCP 4.5, while certain C3‐PACMAD grasses may endanger valuable high‐elevation habitats. Photosynthetic pathway may be a useful component of weed risk assessment to evaluate how species may respond to climate change as similar range response patterns may be expected for other non‐native grasses in other tropical and subtropical regions.
Journal Article
Comparison of naturalization mouse model setups uncover distinct effects on intestinal mucosa depending on microbial experience
2025
Concerns regarding the translational value of preclinical mouse models have been addressed by introducing various approaches of 'naturalizing' research mice, which provide them with more diverse microbiomes and physiological immune responses. We have previously shown that 'feralized' mice, that is, inbred laboratory mice raised in a farmyard-like, microbe-rich environment exhibit a shifted gut microbiota, matured immunophenotype, and reduced severity of colorectal cancer. Similar studies occasionally involve co-housing with wild or pet-store-raised mice as microbial donors integrating species-specific commensals and pathogens. To what extent these different practices of microbial exposure are crucial for the resulting mouse phenotype remains unclear.
Here, we present the first side-by-side comparison of different methods to naturalize laboratory mice: co-housing with wild-caught house mice, feralization in a farmyard-like habitat only, or a combination of the two, with conventional clean laboratory mice as a reference.
Independent of the method, the naturalized colon-mucosa microbiota, was colonized by several
species, and the colonic intestinal epithelial cells of naturalized mice displayed elevated expression of genes encoding antimicrobial peptides, mucus components, and reactive-oxygen-species-producing enzymes. They further showed significantly increased resident memory T cells in the colonic lamina propria and effector memory T cells in the mesenteric lymph nodes. The most pronounced changes of these parameters occurred in mice co-housed with wild-caught mice, while feralized mice displayed phenotypes that were intermediate between laboratory and co-housed mice.
These findings enhance our understanding of naturalization model setups and effects on the gut barrier and immune system, thereby aiding future decisions on the utilization of naturalized mouse models.
Journal Article
Algorithm and Parameters: Solving the Generality Problem for Reliabilism
2019
The paper offers a solution to the generality problem for a reliabilist epistemology, by developing an “algorithm and parameters” scheme for type-individuating cognitive processes. Algorithms are detailed procedures for mapping inputs to outputs. Parameters are psychological variables that systematically affect processing. The relevant process type for a given token is given by the complete algorithmic characterization of the token, along with the values of all the causally relevant parameters. The typing that results is far removed from the typings of folk psychology, and from much of the epistemology literature. But it is principled and empirically grounded, and shows good prospects for yielding the desired epistemological verdicts. The paper articulates and elaborates the theory, drawing out some of its consequences. Toward the end, the fleshed-out theory is applied to two important case studies: hallucination and cognitive penetration of perception.
Journal Article
Political (Mis)behavior: Attention and Lacunae in the Study of Latino Politics
by
Jones-Correa, Michael
,
Al-Faham, Hajer
,
Cortez, David
in
Associations
,
Attention
,
Citizen participation
2018
The field of Latino politics has developed rapidly over the past decade, but some areas within the field have received more attention than others, with some topics remaining relatively overlooked. This article begins by reviewing three primary strands of the recent literature on Latino civic engagement, identity politics, and institutions. It then pivots off the 2016 election to highlight three additional lines of inquiry that are either understudied or where the findings in the literature remain conflicted: the effects of threat on Latino mobilization, the entry of new Latino voters into American politics, and Latino conservatism. Assessing the field, the article concludes by arguing for greater attention to understudied questions and against facile assumptions about Latinos in American politics.
Journal Article
Trait differences between naturalized and invasive plant species independent of residence time and phylogeny
by
Randall, R. P.
,
Leishman, M. R.
,
Gallagher, R. V.
in
Australia
,
características de cobertura nativa
,
características funcionales
2015
The ability to predict which alien plants will transition from naturalized to invasive prior to their introduction to novel regions is a key goal for conservation and has the potential to increase the efficacy of weed risk assessment (WRA). However, multiple factors contribute to plant invasion success (e.g., functional traits, range characteristics, residence time, phylogeny), and they all must be taken into account simultaneously in order to identify meaningful correlates of invasion success. We compiled 146 pairs of phylogenetically paired (congeneric) naturalized and invasive plant species in Australia with similar minimum residence times (i.e., time since introduction in years). These pairs were used to test for differences in 5 functional traits (flowering duration, leaf size, maximum height, specific leaf area [SLA], seed mass) and 3 characteristics of species’ native ranges (biome occupancy, mean annual temperature, and rainfall breadth) between naturalized and invasive species. Invasive species, on average, had larger SLA, longer flowering periods, and were taller than their congeneric naturalized relatives. Invaders also exhibited greater tolerance for different environmental conditions in the native range, where they occupied more biomes and a wider breadth of rainfall and temperature conditions than naturalized congeners. However, neither seed mass nor leaf size differed between pairs of naturalized and invasive species. A key finding was the role of SLA in distinguishing between naturalized and invasive pairs. Species with high SLA values were typically associated with faster growth rates, more rapid turnover of leaf material, and shorter lifespans than those species with low SLA. This suite of characteristics may contribute to the ability of a species to transition from naturalized to invasive across a wide range of environmental contexts and disturbance regimes. Our findings will help in the refinement of WRA protocols, and we advocate the inclusion of quantitative traits, in particular SLA, into the WRA schemes.
Journal Article