Global Climate Change Effects on Venezuela’s Vulnerability to Chagas Disease is Linked to the Geographic Distribution of Five Triatomine Species

2015 ◽  
Vol 52 (6) ◽  
pp. 1333-1343 ◽  
Author(s):  
Soledad Ceccarelli ◽  
Jorge E. Rabinovich
2019 ◽  
Vol 232 ◽  
pp. 751-758 ◽  
Author(s):  
Marcos L.S. Oliveira ◽  
Carolina Dario ◽  
Bernardo F. Tutikian ◽  
Hinoel Z. Ehrenbring ◽  
Caliane C.O. Almeida ◽  
...  

Author(s):  
Angga Yudaputra ◽  
Izu Andry Fijridiyanto ◽  
Inggit Puji Astuti ◽  
Rizmoon Nurul Zulkarnaen ◽  
Ade Yuswandi ◽  
...  

Aims: This study aims to predict the future geographic distribution shift of invasive plant species Austroeupathorium inulifolium as the impact of global climate change. Study Design: The rising temperature and precipitation change lead to the geographic distribution shift of organisms. A. inulifolium belongs to invasive plant species that often causes a substantial economic loss and ecological degradation in the invaded areas. Modelling of species distribution using the climate-based model could be used to understand the geographic distribution shift of invasive species in the future scenario under global climate change. Place and Duration of Study: Center for Plant Conservation and Botanic Gardens – LIPI and 6 months. Methodology: The total 2228 of occurrence records were derived from the Global Biodiversity Information Facility (GBIF) database. The seven climatic variables were selected from 19 variables using a pairwise correlation test (vifcor) with a threshold >0.7. The ensemble model was used by combining Random Forest (RF) and Support Vector Machine (SVM). Results: Both two models are well-performed either using AUC or TSS evaluation methods. RF and SVM have AUC >0.95, and TSS >0.8. The predicted current distribution tends to have larger distribution areas compared to observed occurrence records. The predicted future distribution seems to be shifted in several parts of North America and Europe. Conclusion: The geographic distribution of invasive plant species A. inulifolium will be shifted to the Northern part of globe in 2090. Mean temperature of driest quarter and precipitation of warmest quarter are the two most important variables that determine the distribution pattern of the A. inulifolium. The predictive distribution pattern of invasive plant A. inulifolium would be important to provide information about the impact of climate change to the geographic distribution shift of this species.


Author(s):  
N. Mieszkowska ◽  
S.J. Hawkins ◽  
M.T. Burrows ◽  
M.A. Kendall

Since the rate of global climate change began to accelerate in the 1980s, the coastal seas of Britain have warmed by up to 1°C. Locations close to the northern range edges of a southern trochid gastropod Osilinus lineatus in Britain previously surveyed in the 1950s and 1980s were resurveyed during 2002–2004 to determine whether changes in the success of near-limit populations had occurred during the period of climate warming. Between the 1980s and the 2000s, the range limits had extended by up to 55 km. Populations sampled over a latitudinal extent of 4 degrees from northern limits towards the centre of the range showed synchronous increases in abundance throughout the years sampled, suggesting a large-scale factor such as climate was driving the observed changes. These increases in abundance and changes in range limits are likely to have occurred via increased recruitment success in recent years.


2019 ◽  
pp. 113-114

Groups of well-known scientists (Jan Hjort et al.), whose research interests lie in the field of current permafrost changes, have published a research article on risks of permafrost degradation to Arctic infrastructure by the middle of the 21st century. This is an important topic discussed in the world's scientific community, with researchers from different countries warning about the upcoming threats. Such predictions are based on the investigations of global climate change effects on permafrost by T.E. Osterkamp, O.A. Anisimov, and V.E. Romanovsky et al.


Author(s):  
Anna V. Chugunkova

As a part of global economy, forestry experiences influence of diverse factors and global climate change in particular, which can affect forestry directly or indirectly via changes in qualitative and quantitative assessment of forest growing stocks, and in positive or negative manner. Climate change effects on Russian forestry are still poorly studied and call for more attention in policy-making. One of the direct impacts is shortening of winter logging season duration, which may result in decreasing wood harvests. Using the data on logging volumes in Krasnoyarsk Krai and Irkutsk Oblast and estimated duration of winter logging season on meteorological stations for the retrospective period of 1966-2018, eight ARDL models were evaluated. The modeling results supported the idea of dependence of harvested wood volumes on winter logging season duration across all considered meteorological stations. To reduce negative impacts on logging industry in terms of wood harvest reduction, adaptation activities in forestry are sorely needed


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