Find research datasets worth reusing

openCC (other)Apr 2022View details →

Invasive species and thermal squeeze: Distribution of two invasive predators and drivers of ship rat (Rattus rattus) invasion in mid-elevation Fuscospora forest

This data package is from a trapping network set up in Craigieburn Forest Park, New Zealand, in 2013. These are records of the stoats and rats caught in the traps each time the traps were checked by volunteers since 2013. Associated long term air temperature and seedfall data from the Craigieburn area is also provided. If the original trapping records (containing more mammalian catch information such as weasels and cats) are required please contact the data providers.

openCC (other)Jun 2020View details →

Effects of experimental manipulation of light and nutrients on establishment of seedlings of native and invasive woody species in Long Island, NY, USA forests 2000 - 2003

While several studies on the process of invasion often focused on single factors or on the general explanation of ‘disturbance,' recent work has attempted to move towards a more mechanistic understanding of the factors that promote plant community invasion. Manipulative experiments provide a means for discerning causal relationships and interactive effects of environmental factors in promoting invasion. This dataset contains the results of multifactor manipulative experiments in forest communities, which compared factors influencing early seedling establishment for native and invasive woody plants. In an earlier study, we found that in Long Island, NY, invasion patterns are correlated with forest community type (pine barrens or hardwood), light availability, and soil N and Ca. Therefore, we conducted manipulative field experiments in two different years to determine the relative importance and interaction of experimental gaps and N and Ca addition in pine barrens and hardwood forests in promoting invasion. We used seedlings of seven common native and invasive species in the first experiment, and 16 native and invasive species paired phylogenetically in the second experiment. This was done in the years 2000 and 2003 respectively.

openCC (other)Feb 2021View details →

Emerging fungal pathogen of an invasive grass: Implications for competition with native plant species

This data package includes data and code from an experiment testing the effects of a leaf spot fungal infection and competition from the invasive (to the U.S.) grass Microstegium vimineum on the performance of three native grass species: Dichanthelium clandestinum, Elymus virginicus, and Eragrostis spectabilis. The experiment was performed between June and September of 2019 in a greenhouse on the University of Florida campus in Gainesville, FL, USA. The leaf spot infection is caused by the fungal pathogen Bipolaris gigantea, which has recently emerged on populations of M. vimineum in the U.S. We tested the hypothesis that infection of B. gigantea would both directly and indirectly affect the native grass species by measuring the change in biomass of each species with and without pathogen inoculation (direct effects) and by measuring the effect of pathogen inoculation on M. vimineum competition through changes in native grass biomass across a density gradient of M. vimneum (indirect effects). The code includes statistical analyses and figures. The code was run using R (version 4.0.1).

openOpenFeb 2016View details →

Dalton and Nenana study site data including: invasive plant density estimates, invasive plant density, soil data, seedling estimates for dominant tree species and ground cover estimates for sites

This dataset contains invasive plant and stand level data for study sites along the Dalton and Parks highways in interior Alaska in the summer of 2012. Study sites were situated in burned and mature black spruce forests to compare invasive plant colonization patterns. Invasive plant density estimates along the road adjacent to each site are included, as well as invasive plant density within study sites. Other data includes ground cover estimates for dominant ground cover types, estimates of seedling abundance for dominant tree species, soil paramters (mineral soil pH and mineral soil moisture, residual organic layer/ organic layer depths, and active layer depths).

opencc-by-4.0Dec 2008View details →

Fig. 1 in New data on distribution and biology of the invasive species Hydrotaea aenescens (Wiedemann, 1830) (Diptera, Muscidae)

Fig. 1. Map showing the records of H. aenescens: 1 – Turkey, Antalya, near Side; 2 – Russia, Sochi region, near Veseloe; 3 – Russia, 60 km North of Narjan-Mar, 68.15N 53.65E. Countries where H.aenescens was previously recorded (Pont et al. 2007) are marked in green.

opencc-zeroJul 2020View details →

Data from: DNA metabarcoding for biodiversity monitoring in a national park: screening for invasive and pest species

<ol> <li>DNA metabarcoding was utilized for a large-scale, multi-year assessment of biodiversity in Malaise trap collections from the Bavarian Forest National Park (Germany, Bavaria). </li> <li>Principal Component Analysis of read count-based biodiversities revealed clustering in concordance with whether collection sites were located inside or outside of the National Park.</li> <li>Jaccard distance matrices of the presences of BINs at collection sites in the two survey years (2016 and 2018) were significantly correlated.</li> <li>Overall similar patterns in the presence of total arthropod BINs, as well as BINs belonging to four major arthropod orders across the study area, were observed in both survey years, and are also comparable with results of a previous study based on DNA barcoding of Sanger-sequenced specimens.</li> <li>A custom reference sequence library was assembled from publicly available data to screen for pest or invasive arthropods among the specimens or from the preservative ethanol.</li> <li> A single 98.6% match to the invasive bark beetle Ips duplicatus was detected in an ethanol sample. This species has not previously been detected in the National Park. </li> </ol>

opencc-by-4.0Dec 2020View details →

Behavioral data and analyses of competitive interactions between invasive and native ant species [from Cordonnier et al. 2021, Animals]

This README accompanies the files "data_Cordonnier_Animals.txt" & "script_Cordonnier_Animals.txt"   Associated publication :  The native ant Lasius niger can limit the access to resources of the invasive Argentine ant M. Cordonnier, O. Blight, E. Angulo, and F. Courchamp Published in Animals   ********************************** CONTENTS ***************************** The data are in table form with TABs as variables field delimiters so they can be readily imported in any statistical package or spreadsheet program. Please, contact me if you need the file formatted otherwise.    ******************************************************************************* Variable names and descriptions   Status_Lh            status of Linepithema humile (Colonizer or Resident)        opp                      species of the opponent combirc                combination of status and species interacting temp                    temperature during the test hygro                   hygrometry during the test categ                    interacting species combination n_deadtot_opp       total number of dead opponent workers t_50dead_opp        time when 50% of the opponent mortality load have been diagnosed t_interact              time of the first interaction between L. humile and opponent workers t_maxfights           time when the maximal number of simultaneous fights occurs ET_fights              standard deviation of the numbers of fights over time mean_fights          mean number of simultaneous fights during the contest n_deadtot_Lh        total number of dead workers of L. humile t_50dead_Lh         time when 50% of the L. humile mortality load have been diagnosed t_arena_opp          time of the opponent entrance in the arena t_bait_opp             time of opponent resources’ discovery t_maxarena_opp    time when the max. number of opponent workers occurs in the arena mean_arena_opp   mean number of opponent workers simultaneously present in the whole arena t_maxbait_opp       time when the maximal number of opponent workers on the bait occurs mean_bait_opp      mean number of opponent workers on the bait t_arena_Lh            time of the entrance in the arena of L. humile t_maxarena_Lh     time when the max. number of workers of L. humile occurs in the arena mean_arena_Lh     mean number of L. humile workers simultaneously present in the whole arena n_totprey_Lh         total number of preys brought by L. humile t_bait_Lh               time of resources’ discovery by L. humile t_maxbait_Lh        time when the maximal number of L. humile individuals on the bait occurs ETbait_Lh             standard deviation of the numbers of L. humile workers on the bait over time mean_bait_Lh        mean number of L. humile workers on the bait t_50prey_Lh          time when 50% of the final prey load   ******************************** CONTACT ********************************* Please contact me at: Marion Cordonnier e-mail: marion.cordonnier@hotmail.com *******************************************************************************

opencc-zeroDec 2017View details →

Data from: Species distribution models of the Spotted Wing Drosophila (Drosophila suzukii, Diptera: Drosophilidae) in its native and invasive range reveal an ecological niche shift

The Spotted Wing Drosophila (Drosophila suzukii) is native to Southeast Asia. Since its first detection in 2008 in Europe and North America, it has been a pest to the fruit production industry as it feeds and oviposits on ripening fruit. Here we aim to model the potential geographical distribution of D. suzukii. We performed an extensive literature review to map the current records. In total, 517 documented occurrences (96 native and 421 invasive) were identified spanning 52 countries. Next, we constructed three species distribution models (SDMs) based on occurrence records in: 1) the native range (SDMnative), 2) the invasive range in Europe (SDMEurope) and 3) a global model of all records (SDMglobal). The models aimed to investigate, whether this species will be able to occupy additional ecological niches beyond its native range and expand its current geographic distribution both globally and in Europe. The SDMs were generated using Maximum Entropy algorithms (Maxent) based on present occurrence records and bioclimatic variables (WorldClim). Predictions of habitat suitability vary greatly depending on the origins of occurrence records. According to all models, precipitation and low temperatures were key limiting factors for the distribution of D. suzukii, which suggests that this species requires a humid environment with mild winters in order to establish a permanent population in its invasive range. Several regions in the invasive range, not presently occupied by this species, were predicted highly suitable, especially in northern Europe, suggesting that D. suzukii is not occupying its full fundamental niche yet. Synthesis and applications. Based on these models of potential geographic distribution of the Spotted Wing Drosophila (Drosophila suzukii), we show a shift in the ecological niche in D. suzukii populations, emphasizing the importance of using presence and local environmental data. Further investigation regarding new occurrences is recommended to secure optimal pest management. Despite a continuing expansion, many countries still lack proper surveillance schemes, and we urge policymakers to initiate appropriate management programs.

opencc-by-4.0Nov 2023View details →

IPBES Invasive Alien Species Assessment: Summary for Policymakers. Figures, tables and captions

Figures, tables and their captions from the Summary for Policymakers of the Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.

opencc-zeroMar 2024View details →

Software for optimizing treatment to slow the spatial propagation of invasive species: Code and results

Slowing the spread of invasive species is a major challenge. How can we achieve this goal in the most cost-effective manner? This package includes the complete code and simulation results that help finding the optimal, most cost-effective treatment to slow the spread of a propagating species. This package accompanies the paper "Optimizing strategies for slowing the spread of invasive species" by Adam Lampert (PLOS Computational Biology, DOI: 10.1371/journal.pcbi.1011996). The file general_model_code.zip contains the code for the general model; the file spongy_moth_model_code.zip contains the code for the spongy moth model; and the file general_model_simulation_results.zip contains the results for the general model; and the file spongy_moth_model_simulation_results.zip contains the results for the spongy moth model.

Fig. 6 in Immediate Allelopathic Effect Of Two Invasive Heracleum Species On Acceptor-Germination

Fig. 6. CCU content accordingly ryegrass germination in leachates of H. sosnovskyi and H. mantegazzianum (p<0,05; mean±SE).

Fig. 5 in Immediate Allelopathic Effect Of Two Invasive Heracleum Species On Acceptor-Germination

Fig. 5. CCU content accordingly rapeseed germination in leachates of H. sosnovskyi and H. mantegazzianum (p<0,05; mean±SE).

Fig. 3 in Immediate Allelopathic Effect Of Two Invasive Heracleum Species On Acceptor-Germination

Fig. 3. Inhibition level of acceptor-rapeseed germination in leachates of H. sosnovskyi and H. mantegazzianum (p<0,05; mean±SE).

Fig. 1 in Immediate Allelopathic Effect Of Two Invasive Heracleum Species On Acceptor-Germination

Fig. 1. Pathways scheme of direct and indirect impacts of invasive species on ecosystem functioning (Jones & Gutiérrez 2007).

Fig. 4 in Immediate Allelopathic Effect Of Two Invasive Heracleum Species On Acceptor-Germination

Fig. 4. Inhibition of acceptor-ryegrass germination in leachates of H. sosnovskyi and H. mantegazzianum (p<0,05; mean±SE).

opencc-by-4.0Feb 2023View details →

A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations

This information is lists of alien species regulated in South Africa under the National Environmental Management: Biodiversity Act in an accessible form. The first worksheet is essentially metadata. The second worksheet is intended to be a link between any taxa listed or proposed for listing and various taxonomic backbones. The third worksheet is intended to provide a list of taxonomically verified names linked to the current lists. The other worksheets link to particular versions of the regulations (including version sent for public comment that were never published), the intention is for this to be an exact copy (including formatting), please report any inconsistencies between this and the published version to john.wilson2@gmail.com, but before doing so please double-check that what is presented here, is not how it is presented in the lists themselves. The data were extracted by John Wilson at various dates from pdfs in the government gazette, contact john.wilson2@gmail.com For further details please see: Wilson JRU, Kumschick S (2024). The regulation of alien species in South Africa. South African Journal of Science. vol. 120, issue 5/6, Art. #17002. https://doi.org/10.17159/sajs.2024/17002  If only the database is to be cited, cite as Wilson, J. R. (2025) A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations. v1.1(20250325) doi: 10.5281/zenodo.15082537 (NOTE CHECK FOR LATEST VERSION ) For a full description of metadata see: the latest species list available at iasreport.sanbi.org.za/ or http://dx.doi.org/10.5281/zenodo.8217211

opencc-by-4.0Dec 2012View details →

Fig. 1 in Invasive Mollusc, Crustacean, Fish And Reptile Species Along The Hungarian Stretch Of The River Danube And Some Connected Waters

Fig. 1. Increasing number of invasive species in the Hungarian Danube stretch according to the studied taxonomical groups

opencc-zeroApr 2022View details →

Path-finding algorithm as a dispersal assessment method for invasive species with human-vectored long-distance dispersal event

Aim: An assessment method that can precisely represent human-vectored long-distance dispersals (HVLDD) is currently in need for effective management of invasive species. Here, we focused on HVLDD happening along roads and proposed a path-finding algorithm as a more precise dispersal assessment tool than the most widely used Euclidean distance method by using pine wilt disease (PWD) as a case study. Location: Busan Metropolitan City, Republic of Korea Methods: A path-finding algorithm, which calculates distances by considering spatial distribution of road networks, was tested for its effectiveness in estimating dispersal distances of HVLDD events. To this end, annual HVLDD cases were classified from entire PWD occurrence data from 2016 to 2019 and their dispersal distances were calculated using the path-finding algorithm and the Euclidean distance method. We constructed potential dispersal ranges based on the occurrence points in 2016, 2017, and 2018 using the respective year's mean dispersal distance for both methods, and their performances in accounting for each subsequent year's HVLDD cases were compared to determine which method calculated more precise distances. The information on which road class contributed more to dispersal occurrences and distances was analysed as well using the proposed algorithm. Results: The potential dispersal ranges of the path-finding algorithm accounted for more future anthropogenic infection cases than the ones that used the Euclidean distance method, validating its higher functionality. It also revealed that most HVLDDs started and ended on small roads, and large roads constituted the majority of the total dispersal length. Main Conclusions: The path-finding algorithm has proven to be a more effective dispersal assessment method for HVLDD events. It can help design effective control strategies. Thus, we encourage using the path-finding algorithm for dispersal assessment of invasive species that move along road networks, as well as for the development of more powerful HVLDD prediction models.a

opencc-zeroJul 2022View details →

The impact of species phylogenetic relatedness on invasion varies distinctly along resource versus nonresource environmental gradients

Understanding why certain plant communities are vulnerable to alien invasive species is essential to predicting and controlling invasion in a changing environment. Darwin's naturalization hypothesis suggests that non-native species should be more successful in communities where their close relatives are absent. Empirical tests of this hypothesis, however, have produced mixed results. Using plot-level data from natural forests along elevational transects covering strong environmental gradients, we examined whether the invasion of the globally invasive species Ageratina adenophora can be explained by environmental filtering and/or competition from closely related species linked to environmental gradients. Abundant precipitation, warm temperatures, open canopies, and postfire environments facilitated A. adenophora invasion, whereas resident taxonomic richness suppressed its invasion. Importantly, we found that invader-resident relatedness had a strong negative effect on invader cover under resource scarcity conditions (e.g., low water availability), but not under nonresource environmental stress conditions (e.g., low temperature). Our findings help reconcile the varied applicability of Darwin's naturalization hypothesis to biological invasions in a changing world.