scholarly journals Analysis of the Adaptative Strategy of Cirsium vulgare (Savi) Ten. in the Colonization of New Territories

2021 ◽  
Vol 13 (4) ◽  
pp. 2384
Author(s):  
Jhony Fernando Cruz Román ◽  
Ricardo Enrique Hernández-Lambraño ◽  
David Rodríguez de la Cruz ◽  
José Ángel Sánchez Agudo
Keyword(s):  
Invasive Species ◽  
Anthropogenic Activities ◽  
Relative Weight ◽  
Relevant Information ◽  
Niche Modelling ◽  
Global Biodiversity Information Facility ◽  
Cirsium Vulgare ◽  
Human Footprint ◽  
Bioclimatic Variables ◽  
New Research

The current situation of global environmental degradation as a result of anthropogenic activities makes it necessary to open new research lines focused on the causes and effects of the main alterations caused in the ecosystems. One of the most relevant is how the niche dynamics of invasive species change between different geographical areas, since its understanding is key to the early detection and control of future invasions. In this regard, we analyzed the distribution pattern of Cirsium vulgare (Savi) Ten., a plant of the Asteraceae family originally from the Eurasian region that currently invades wide areas of the world. We estimated its niche shifts between continents using a combination of principal components analysis (PCA) and Ecological Niche Modelling (ENM) on an extensive set of data on global presences of its native and invaded ranges from Global Biodiversity Information Facility (GBIF). A set of bioclimatic variables and the Human Footprint (HFP) with a resolution of 10 km were selected for this purpose. Our results showed that the species has a marked global trend to expand toward warmer climates with less seasonality, although in some regions its invasiveness appears to be less than in others. The models had a good statistical performance and high coherence in relation to the known distribution of the species and allowed us to establish the relative weight of the contribution of each variable used, with the annual temperature and seasonality being the determining factors in the establishment of the species. Likewise, the use of non-climatic variable HFP has provided relevant information to explain the colonizing behavior of the species. The combination of this methodology with an adequate selection of predictor variables represents a very useful tool when focusing efforts and resources for the management of invasive species.

scholarly journals Enabling decisions that make a difference: guidance for improving access to and analysis of invasive species information

2019 ◽  
Vol 22 (1) ◽  
pp. 37-45 ◽  
Author(s):  
Rebekah D. Wallace ◽  
Charles T. Bargeron ◽  
Jamie K. Reaser
Keyword(s):  
Invasive Species ◽  
Information Systems ◽  
Information Sharing ◽  
Data Sharing ◽  
Relevant Information ◽  
Global Biodiversity Information Facility ◽  
Management Options ◽  
The North ◽  
Socio Economic Impact ◽  
Taxonomic Groups

AbstractThe issue of how to detect and rapidly respond to invasive species before it is economically infeasible to control them is one of urgency and importance at international, national, and subnational scales. Barriers to sharing invasive species data—whether in the form of policy, culture, technology, or operational logistics—need to be addressed and overcome at all levels. We propose guiding principles for following standards, formats, and protocols to improve information sharing among US invasive species information systems and conclude that existing invasive species information standards are adequate for the facilitation of data sharing among all sectors. Rather than creating a single information-sharing system, there is a need to promote interfaces among existing information systems that will enable them to become inter-operable, to foster simultaneous access, and to deliver any and all relevant information to a particular user or application in a seamless fashion. The actions we propose include implementing a national campaign to mobilize invasive species occurrence data into publicly available information systems; maintaining a current list of invasive species data integrators/clearinghouses; establishing an agreement for sharing data among the primary US invasive species information systems; enhancing the Integrated Taxonomic Information System to fully cover taxonomic groups not yet complete; further developing and hosting data standards for critical aspects of invasive species biology; supporting and maintaining the North American Invasive Species Management Association’s mapping standards; identifying standard metrics for capturing the environmental and socio-economic impact of invasive species, including impacts and management options; continuing to support US engagement in international invasive species data sharing platforms; and continuing US membership in the Global Biodiversity Information Facility.

scholarly journals Range Expansion of Ambrosia artemisiifolia in Europe Is Promoted by Climate Change

ISRN Ecology ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Sarah Cunze ◽  
Marion Carmen Leiblein ◽  
Oliver Tackenberg
Keyword(s):  
Climate Change ◽  
Invasive Species ◽  
North American ◽  
Sampling Bias ◽  
Ambrosia Artemisiifolia ◽  
Potential Range ◽  
Niche Modelling ◽  
Global Biodiversity Information Facility ◽  
The North ◽  
North American Data

Ambrosia artemisiifolia L., native to North America, is a problematic invasive species, because of its highly allergenic pollen. The species is expected to expand its range due to climate change. By means of ecological niche modelling (ENM), we predict habitat suitability for A. artemisiifolia in Europe under current and future climatic conditions. Overall, we compared the performance and results of 16 algorithms commonly applied in ENM. As occurrence records of invasive species may be dominated by sampling bias, we also used data from the native range. To assess the quality of the modelling approaches we assembled a new map of current occurrences of A. artemisiifolia in Europe. Our results show that ENM yields a good estimation of the potential range of A. artemisiifolia in Europe only when using the North American data. A strong sampling bias in the European Global Biodiversity Information Facility (GBIF) data for A. artemisiifolia causes unrealistic results. Using the North American data reflects the realized European distribution very well. All models predict an enlargement and a northwards shift of potential range in Central and Northern Europe during the next decades. Climate warming will lead to an increase and northwards shift of A. artemisiifolia in Europe.

OP457 A Collaborative Horizon Scanning Alert For Disinvestment And Early Awareness

2020 ◽  
Vol 36 (S1) ◽  
pp. 10-10
Author(s):  
Vigdis Lauvrak ◽  
Kelly Farrah ◽  
Rosmin Esmail ◽  
Anna Lien Espeland ◽  
Elisabet Hafstad ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Interest Group ◽  
Pilot Project ◽  
Relevant Information ◽  
Horizon Scanning ◽  
Google Alerts ◽  
One Year ◽  
The One ◽  
New Research ◽  
Google Search

IntroductionIn 2019, the Norwegian Institute for Public Health and Canadian Agency for Drugs and Technologies in Health (CADTH) received support from HTAi to produce a quarterly current awareness alert for the HTAi Disinvestment and Early Awareness Interest Group in collaboration with the HTAi Information Retrieval Interest Group. The alert focuses on methods and topical issues, and broader forecasts of potentially disruptive technologies that may be of interest to those involved in horizon scanning and disinvestment initiatives in health technology assessment (HTA).MethodsInformation specialists at both agencies developed search strategies for disinvestment and for horizon scanning in PubMed and Google. The template for the alert was based on an e-newsletter developed by the Information Retrieval Interest Group. Information specialists and researchers reviewed the monthly (PubMed) and weekly (Google) search results and selected potentially relevant publications. Additional sources were also identified through regular HTA and horizon scanning work.ResultsAlerts are posted quarterly on the HTAi Interest Group website; members receive an email notice when new alerts are available. While the revised PubMed searches are identifying relevant information, Google alerts have been disappointing, and this search may need to be revised further or dropped. When the one-year pilot project ends, in Fall 2020, interest group members will be surveyed to see if the alerts were useful, and whether they have suggestions for improving them.ConclusionsCollaborating on this alert service reduces duplication of effort between agencies, and makes new research in horizon scanning and disinvestment more accessible to colleagues in other agencies working in these areas.

scholarly journals Potential geographic distribution of the tiger mosquito Aedes albopictus (Skuse, 1894) (Diptera: Culicidae) in current and future conditions for Colombia

2021 ◽  
Vol 15 (5) ◽  
pp. e0008212
Author(s):  
Emmanuel Echeverry-Cárdenas ◽  
Carolina López-Castañeda ◽  
Juan D. Carvajal-Castro ◽  
Oscar Alexander Aguirre-Obando
Keyword(s):  
At Risk ◽  
Aedes Albopictus ◽  
Geographic Distribution ◽  
Ecological Niche ◽  
Ecological Niche Models ◽  
Niche Modelling ◽  
Continental Extension ◽  
Bioclimatic Variables ◽  
Valle Del Cauca ◽  
Potential Geographic Distribution

In Colombia, little is known on the distribution of the Asian mosquito Aedes albopictus, main vector of dengue, chikungunya, and Zika in Asia and Oceania. Therefore, this work sought to estimate its current and future potential geographic distribution under the Representative Concentration Paths (RCP) 2.6 and 8.5 emission scenarios by 2050 and 2070, using ecological niche models. For this, predictions were made in MaxEnt, employing occurrences of A. albopictus from their native area and South America and bioclimatic variables of these places. We found that, from their invasion of Colombia to the most recent years, A. albopictus is present in 47% of the country, in peri-urban (20%), rural (23%), and urban (57%) areas between 0 and 1800 m, with Antioquia and Valle del Cauca being the departments with most of the records. Our ecological niche modelling for the currently suggests that A. albopictus is distributed in 96% of the Colombian continental surface up to 3000 m (p < 0.001) putting at risk at least 48 million of people that could be infected by the arboviruses that this species transmits. Additionally, by 2050 and 2070, under RCP 2.6 scenario, its distribution could cover to nearly 90% of continental extension up to 3100 m (≈55 million of people at risk), while under RCP 8.5 scenario, it could decrease below 60% of continental extension, but expand upward to 3200 m (< 38 million of people at risk). These results suggest that, currently in Colombia, A. albopictus is found throughout the country and climate change could diminish eventually its area of distribution, but increase its altitudinal range. In Colombia, surveillance and vector control programs must focus their attention on this vector to avoid complications in the national public health setting.

Pattern Mining and Clustering on Image Databases

2008 ◽  
pp. 187-212
Author(s):  
Marinette Bouet ◽  
Pierre Gançarski ◽  
Marie-Aude Aufaure ◽  
Omar Boussaïd
Keyword(s):  
Pattern Mining ◽  
Frequent Pattern Mining ◽  
Image Data ◽  
Research Direction ◽  
Relevant Information ◽  
Frequent Pattern ◽  
Image Clustering ◽  
Image Mining ◽  
Clustering Methods ◽  
New Research

Analysing and mining image data to derive potentially useful information is a very challenging task. Image mining concerns the extraction of implicit knowledge, image data relationships, associations between image data and other data or patterns not explicitly stored in the images. Another crucial task is to organize the large image volumes to extract relevant information. In fact, decision support systems are evolving to store and analyse these complex data. This paper presents a survey of the relevant research related to image data processing. We present data warehouse advances that organize large volumes of data linked with images and then, we focus on two techniques largely used in image mining. We present clustering methods applied to image analysis and we introduce the new research direction concerning pattern mining from large collections of images. While considerable advances have been made in image clustering, there is little research dealing with image frequent pattern mining. We shall try to understand why.

scholarly journals Distribution and abundance of Chubut Steamerducks: an endemic species to Central Patagonia, Argentina

2011 ◽  
Vol 22 (3) ◽  
pp. 307-315 ◽  
Author(s):  
MARÍA LAURA AGÜERO ◽  
PABLO GARCÍA BORBOROGLU ◽  
DANIEL ESLER
Keyword(s):  
Invasive Species ◽  
Population Size ◽  
Endemic Species ◽  
Oil Pollution ◽  
Anthropogenic Activities ◽  
Breeding Population ◽  
Habitat Destruction ◽  
Small Section ◽  
Marine Park ◽  
Breeding Distribution

SummaryWe documented the breeding distribution and estimated abundance of Chubut SteamerducksTachyres leucocephalus,a flightless waterbird endemic to a relatively small section of coastline in Patagonia, Argentina. The distribution of Chubut Steamerducks is restricted to approximately 700 km of coast. We counted 1,703 adult steamerducks at a subset of shorelines within their range and estimated 1,841 adults after correcting for visibility for shore-based surveys. To estimate adult densities in unsurveyed areas, we used two different methods of extrapolation, resulting in estimates of 1,587 and 1,832 adults. Combined with numbers from surveyed shorelines, the total breeding population size is estimated to be between 3,428 and 3,673 adults. In addition, we counted 1,899 juvenile steamerducks, which occur in irregular aggregations. The Interjurisdictional Marine Park in San Jorge Gulf contains about 46% of the entire population, which may provide some protection from disturbance and habitat destruction. However, oil pollution, other anthropogenic activities, and invasive species still pose potential threats to the population.

scholarly journals “Tracking the Rain Bird”: Modeling the monthly distribution of Pied cuckoo in India

2020 ◽  
Author(s):  
Debanjan Sarkar ◽  
Bharti Tomar ◽  
R. Suresh Kumar ◽  
Sameer Saran ◽  
Gautam Talukdar
Keyword(s):  
Water Vapor ◽  
Vapor Pressure ◽  
Citizen Science ◽  
Indian Population ◽  
Migratory Birds ◽  
Indian Subcontinent ◽  
Water Vapor Pressure ◽  
Relevant Information ◽  
Northern India ◽  
Bioclimatic Variables

AbstractPied cuckoo Clamator jacobinus (Boddart, 1783) is a migratory, brood-parasitic bird found in the African and Indian Subcontinent. Although the southern Indian population is presumably resident, the North Indian Population migrates from Africa to India during the summer. The arrival of the bird is linked to the onset of monsoon in India from scientific literature to folklore. It is known to make its appearance in central and northern India in the last week of May or early June, indicating the imminent arrival of the monsoon with its unmistakably loud metallic calls. There have been few attempts to compile relevant information on the species migration in the early 1900s and citizen science approach by Bird-count India; little information is available on how environmental factors might be affecting its migration. Here, we have used Maximum Entropy modeling to identify the monthly and seasonal distribution patterns and major bioclimatic factors that might be influencing the distribution of the species in India. We have used E-Bird citizen science platform data, seven bioclimatic variables, and monthly NDVI of respective months for building the models. The predicted output shows the species presence throughout the year in southern India. In contrast, in northern India, the distribution is dynamic, peaking in summers in the Month of May-June and no presence in winter. The influence of bioclimatic variables used in SDM varied monthly; Water vapor pressure was the primary contributing variable in the months prior to species arrival. In July, it was NDVI (Higher NDVI suggests abundance of food resources for the species). In August-September, Windspeed and water vapor pressure (Factors might be responsible for the departure of the species) have contributed highest. Our approach provides a more concise understanding of Pied cuckoo’s monthly distributions throughout India, which helps understand the complex seasonal shifts in the distribution of such migratory birds.

scholarly journals Assessment of Small-Scale Ecosystem Conservation in the Brazilian Atlantic Forest: A Study from Rio Canoas State Park, Southern Brazil

2019 ◽  
Vol 11 (10) ◽  
pp. 2948 ◽  
Author(s):  
Manoela Sacchis Lopes ◽  
Bijeesh Kozhikkodan Veettil ◽  
Dejanira Luderitz Saldanha
Keyword(s):  
Environmental Management ◽  
Invasive Species ◽  
Land Cover ◽  
Exotic Species ◽  
Anthropogenic Activities ◽  
Landsat Imagery ◽  
Natural Habitat ◽  
Principal Component ◽  
Small Scale ◽  
Surrounding Areas

The efficiency of the environmental management of a territory largely depends on previous surveys and systematic studies on the main elements and conditions of the physical environment. We applied remote sensing and digital image processing techniques (Principal Component Analysis and supervised classification) to Landsat imagery for analyzing the spatiotemporal land cover changes occurred in the Rio Canoas State Park in Brazil and its surrounding area from 1990 to 2016. Reforested areas around the park with exotic species is a part of the region’s economy and a number of industries depend on it for raw materials. However, it is a matter of concern to avoid contamination with such invasive species, due to the proximity of the Park. From 1990 to 2004, more than 95% of the study area was unchanged and showed minimal distinction in land cover over the 14 years. This was mainly due to the continuous presence of agricultural monocultures around the Park without significant increases (only 3.1% of land cover change during this period). Regarding the interior of the Rio Canoas State Park, from 1990 to 2004, there was no increase in the area of exposed soil. The analysis of the surrounding areas of the park from 2004 to 2016 showed that 5663.78 ha (12.2% of the area) of the land cover has been changed, in most areas, due to reforestation by Pinus sp. Notable changes occurred within the park (established in 2004) between 2004 and 2016—there was a partial regeneration of natural species diversity, a small number of invasive species (Pinus sp.) and removal of agricultural activities within the park, which contributed a 6.6% (75.45 ha) change in its land cover. We verified that 92.51% (1048.40 ha) of the areas inside the park were unchanged. The results demonstrated that actions were conducted to preserve the natural vegetation cover within the park and to reduce the impacts of anthropogenic activities, including the invasion of exotic species from the surrounding reforested areas into the natural habitat of the park. Given this, our study can aid the environmental management of the Park and its surrounding areas, enabling the monitoring of environmental legislation, the creation of a management plan, and can guide new action plans for the present study area and can be applied to other similar regions.

scholarly journals Ecological niche modelling to estimate the distribution of Culicoides, potential vectors of bluetongue virus in Senegal

BMC Ecology ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Mamadou Ciss ◽  
Biram Biteye ◽  
Assane Gueye Fall ◽  
Moussa Fall ◽  
Marie Cicille Ba Gahn ◽  
...  
Keyword(s):  
Bluetongue Virus ◽  
Ecological Niche ◽  
Morbidity And Mortality ◽  
Maximum Temperature ◽  
High Morbidity ◽  
Ecological Niche Models ◽  
Niche Modelling ◽  
Boosted Regression Tree ◽  
Bioclimatic Variables ◽  
Suitable Habitats

Abstract Background Vector-borne diseases are among the leading causes of morbidity and mortality in humans and animals. In the Afrotropical region, some are transmitted by Culicoides, such as Akabane, bluetongue, epizootic haemorrhagic fever and African horse sickness viruses. Bluetongue virus infection has an enormous impact on ruminant production, due to its high morbidity and mortality rates. Methods A nationwide Culicoides trapping campaign was organized at the end of the 2012 rainy season in Senegal. A Maximum Entropy approach (MaxEnt), Boosted Regression Tree (BRT) method and Ecological Niche Factor Analysis (ENFA) were used to develop a predictive spatial model for the distribution of Culicoides, using bio-climatic variables, livestock densities and altitude. Results The altitude, maximum temperature of the warmest month, precipitation of the warmest quarter, mean temperature of the wettest quarter, temperature seasonality, precipitation of the wettest quarter and livestock density were among the most important factors to predict suitable habitats of Culicoides. Culicoides occurrences were, in most of the cases, positively correlated to precipitation variables and livestock densities; and negatively correlated to the altitude and temperature indices. The Niayes area and the Groundnut basin were the most suitable habitats predicted. Conclusion We present ecological niche models for different Culicoides species, namely C. imicola, C. oxystoma, C. enderleini and C. miombo, potential vectors of bluetongue virus, on a nationwide scale in Senegal. Through our modelling approach, we were able to determine the effect of bioclimatic variables on Culicoides habitats and were able to generate maps for the occurrence of Culicoides species. This information will be helpful in developing risk maps for disease outbreaks.

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