scholarly journals New records of invasive Parakeet hybrids in Spain. A great opportunity to apply the rapid response mechanism

2016 ◽  
Vol 2 (2) ◽  
pp. 19-22 ◽  
Author(s):  
Jose-Luis Postigo
Keyword(s):  
Invasive Species ◽  
Species Distribution Model ◽  
New Records ◽  
Rapid Response ◽  
Distribution Model ◽  
Response Mechanism ◽  
Invasion Risk ◽  
Great Opportunity ◽  
Psittacula Krameri ◽  
The Rose

Abstract Prevention, early warning and rapid response are the most effective measures in preventing the impacts of invasive species. The Rose-ringed Parakeet Psittacula krameri, is an invasive species widely spread across Europe, including Spain. The Alexandrine Parakeet Psittacula eupatria is also an invasive species established in Europe, but not in Spain, although a species distribution model classified parts of Spain as ‘highly suitable’ and an invasion risk assessment predicted a ‘high risk of invasion’ in Europe. The first hybrids from these two species were recently detected in Spain. Based on these data, we suggest to capture the hybrids to prevent further invasion and possible interaction with other invasive parakeets in Spain.

scholarly journals Preliminary Checklist of Avifauna of Tamanrasset (South of Algeria) With Two New Records in Algeria

2021 ◽  
Vol 8 (3) ◽  
pp. 108-113
Author(s):  
Belkacem Aimene Boulaouad ◽  
Ailam Oussama ◽  
Telailia Salah ◽  
Harzallah Mourad ◽  
Ayyach Khaled ◽  
...  
Keyword(s):  
Biological Diversity ◽  
New Records ◽  
Bird Species ◽  
The South ◽  
Direct Observations ◽  
Psittacula Krameri ◽  
The Rose

Birds constitute a zoological group which is considered to be a good indicator of balance and biological diversity. The aim of this study was to investigate the birds of the region on Tamanresset which is situated in the south of Algeria and has an area of 554.000 km2. Direct observations with camera and a pair of binoculars, supported by ornithological surveys carried out by progressive frequently sampling, in each stations of study area, 44 bird species were observed in this region which fall into 12 orders and 24 families. Among these species, 3 new observations recorded for the 1st time belonging to White-rumped Seedeater (Crithagra leucopygia) and blue-napped mousebird (Urocolius macrourus) along with 2 other species, the rose-ringed parakeet (Psittacula krameri) and the African silver bill (Euodice cantans), are listed as an expansion in this region.

scholarly journals Assessment of the Spatial Invasion Risk of Intentionally Introduced Alien Plant Species (IIAPS) under Environmental Change in South Korea

Biology ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1169
Author(s):  
Pradeep Adhikari ◽  
Yong Ho Lee ◽  
Yong-Soon Park ◽  
Sun Hee Hong
Keyword(s):  
South Korea ◽  
Environmental Change ◽  
Species Distribution Model ◽  
Environmental Changes ◽  
Distribution Model ◽  
Distribution Area ◽  
Invasion Risk ◽  
Alien Plant ◽  
Horizon Scanning ◽  
The Individual

Predicting the regions at risk of invasion from IIAPS is an integral horizon-scanning activity that plays a crucial role in preventing, controlling, and eradicating invasive species. Here, we quantify the spatial distribution area and invasion risk of IIAPS using a species distribution model under different levels of environmental change in South Korea. From the model predictions, the current average spatial extent of the 10 IIAPS is 33,948 km2, and the individual spatial extents are estimated to change by −7% to 150% by 2050 and by −9% to 156% by 2070. The spatial invasion risk assessment shows that, currently, moderate-to-high invasion risk is limited to coastal areas and densely populated metropolitan cities (e.g., Seoul, Busan, and Gwangju), but that the area with this level of risk is expected to spread toward the central and northern regions of the country in the future, covering 86.21% of the total area of the country by 2070. These results demonstrate that the risk of invasion by IIAPS is estimated to enlarge across the whole country under future environmental changes. The modeling system provided in this study may contribute to the initial control and strategic management of IIAPS to maintain the dynamic ecosystems of South Korea.

scholarly journals Global invasion risk of Apocephalus borealis, a honey bee parasitoid

Apidologie ◽  
2021 ◽  
Author(s):  
Erik Tihelka ◽  
John Hafernik ◽  
Brian V. Brown ◽  
Christopher Quock ◽  
Andrew G. Zink ◽  
...  
Keyword(s):  
North America ◽  
Honey Bee ◽  
Honey Bees ◽  
Species Distribution Model ◽  
Viral Infections ◽  
Distribution Model ◽  
Climate Change Scenarios ◽  
Invasion Risk ◽  
Potential Threat ◽  
Honey Bee Health

AbstractApocephalus borealis is a parasitoid of hymenopterans native to North America that also attacks introduced honey bees (Apis mellifera). Parasitism by this species has been associated with infested bees absconding the hive and dying outside. The flies can also harbour viral infections and nosematosis. Recently, nucleotide sequences identical to A. borealis were reported from bulk screenings of honey bees from Belgium and South Korea, although no adult flies have been collected. To predict the potential invasion risk of A. borealis across the world, we constructed a MaxEnt species distribution model based on occurrence data from North America submitted to the citizen science project ZomBee Watch (zombeewatch.org) and from museum specimens. The results have shown that extensive parts of Europe, the Mediterranean Basin, Asia Minor, southern Africa, eastern Asia, Australasia, and North and South America have high degrees of climatic suitability for invasion, suggesting that the fly could establish in these regions. The potential invasion range is expected to stay similar under different climate change scenarios. We discuss the status of A. borealis as an invasive species and measures that can be taken to reduce the risk of its introduction outside of North America. Our results highlight A. borealis as a potential threat to honey bee health worldwide that requires urgent attention of international veterinary bodies to prevent its spread.

scholarly journals A Robust Prediction Model for Species Distribution Using Bagging Ensembles with Deep Neural Networks

2021 ◽  
Vol 13 (8) ◽  
pp. 1495
Author(s):  
Jehyeok Rew ◽  
Yongjang Cho ◽  
Eenjun Hwang
Keyword(s):  
Neural Networks ◽  
Species Distribution ◽  
Best Practice ◽  
Deep Neural Networks ◽  
Species Distribution Models ◽  
Species Distribution Model ◽  
Environmental Data ◽  
Distribution Model ◽  
Distribution Models ◽  
Robust Prediction

Species distribution models have been used for various purposes, such as conserving species, discovering potential habitats, and obtaining evolutionary insights by predicting species occurrence. Many statistical and machine-learning-based approaches have been proposed to construct effective species distribution models, but with limited success due to spatial biases in presences and imbalanced presence-absences. We propose a novel species distribution model to address these problems based on bootstrap aggregating (bagging) ensembles of deep neural networks (DNNs). We first generate bootstraps considering presence-absence data on spatial balance to alleviate the bias problem. Then we construct DNNs using environmental data from presence and absence locations, and finally combine these into an ensemble model using three voting methods to improve prediction accuracy. Extensive experiments verified the proposed model’s effectiveness for species in South Korea using crowdsourced observations that have spatial biases. The proposed model achieved more accurate and robust prediction results than the current best practice models.

scholarly journals A Bioclimate-Based Maximum Entropy Model for Comperiella calauanica Barrion, Almarinez and Amalin (Hymenoptera: Encyrtidae) in the Philippines

Insects ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 26
Author(s):  
Billy Joel M. Almarinez ◽  
Mary Jane A. Fadri ◽  
Richard Lasina ◽  
Mary Angelique A. Tavera ◽  
Thaddeus M. Carvajal ◽  
...  
Keyword(s):  
Maximum Entropy ◽  
Habitat Suitability ◽  
Species Distribution Model ◽  
Biological Control Agent ◽  
The Philippines ◽  
Distribution Model ◽  
Field Surveys ◽  
Probability Of Occurrence ◽  
Precipitation Seasonality ◽  
Bioclimatic Variables

Comperiella calauanica is a host-specific endoparasitoid and effective biological control agent of the diaspidid Aspidiotus rigidus, whose outbreak from 2010 to 2015 severely threatened the coconut industry in the Philippines. Using the maximum entropy (Maxent) algorithm, we developed a species distribution model (SDM) for C. calauanica based on 19 bioclimatic variables, using occurrence data obtained mostly from field surveys conducted in A. rigidus-infested areas in Luzon Island from 2014 to 2016. The calculated the area under the ROC curve (AUC) values for the model were very high (0.966, standard deviation = 0.005), indicating the model’s high predictive power. Precipitation seasonality was found to have the highest relative contribution to model development. Response curves produced by Maxent suggested the positive influence of mean temperature of the driest quarter, and negative influence of precipitation of the driest and coldest quarters on habitat suitability. Given that C. calauanica has been found to always occur with A. rigidus in Luzon Island due to high host-specificity, the SDM for the parasitoid may also be considered and used as a predictive model for its host. This was confirmed through field surveys conducted between late 2016 and early 2018, which found and confirmed the occurrence of A. rigidus in three areas predicted by the SDM to have moderate to high habitat suitability or probability of occurrence of C. calauanica: Zamboanga City in Mindanao; Isabela City in Basilan Island; and Tablas Island in Romblon. This validation in the field demonstrated the utility of the bioclimate-based SDM for C. calauanica in predicting habitat suitability or probability of occurrence of A. rigidus in the Philippines.

Sign in / Sign up

Export Citation Format

Share Document