A computerised system for matching climates in ecology

Sutherst, R. W.; Maywald, G. F.

doi:10.1016/0167-8809(85)90016-7

Cited by 527 publications

(479 citation statements)

References 18 publications

Supporting

Mentioning

471

Contrasting

Unclassified

Order By: Relevance

“…Therefore, the ecological preferences of African microplus cannot be extrapolated from those of American populations. In Africa, B. microplus had not invaded all areas that were climatically favourable for this species, as obtained by a modelling approach Sutherst and Maywald 1985). This failure was interpreted as being due to attempted interbreeding between B. microplus and B. decoloratus, resulting in a zone of sterile hybrids, which would present a barrier to further spread (Sutherst 1987).…”

Section: Discussionmentioning

confidence: 96%

The Known Distribution and Ecological Preferences of the Tick Subgenus Boophilus (Acari: Ixodidae) in Africa and Latin America

et al. 2006

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 96%

The Known Distribution and Ecological Preferences of the Tick Subgenus Boophilus (Acari: Ixodidae) in Africa and Latin America

et al. 2006

View full text Add to dashboard Cite

“…Change in the number of existing malaria vectors with time varies greatly between species, being determined by numerous biological and physical factors such as the availability of species-specific breeding sites, the presence of predacious fish or other natural enemies, the hydraulics of bodies of water, and the type of vegetation present. It is impossible to estimate the change in vector abundance over large areas as a result of temperature, precipitation, and humidity changes using an aggree malaria gated model such as ours (18 …”

Section: Epidemic Potentialmentioning

confidence: 99%

Potential impact of global climate change on malaria risk.

Martens

Niessen

Rotmans

et al. 1995

Environ Health Perspect

321

185

View full text Add to dashboard Cite

The biological activity and geographic distribution of the malarial parasite and its vector are sensitive to climatic influences, especially temperature and precipitation. We have incorporated General Circulation Model-based scenarios of anthropogenic global climate change in an integrated linked-system model for predicting changes in malaria epidemic potential in the next century. The concept of the disability-adjusted life years is included to arrive at a single measure of the effect of anthropogenic climate change on the health impact of malaria. Assessment of the potential impact of global climate change on the incidence of malaria suggests a widespread increase of risk due to expansion of the areas suitable for malaria transmission. This predicted increase is most pronounced at the borders of endemic malaria areas and at higher altitudes within malarial areas. The incidence of infection is sensitive to climate changes in areas of Southeast Asia, South America, and parts of Africa where the disease is less endemic; in these regions the numbers of years of healthy life lost may increase significantly. However, the simulated changes in malaria risk must be interpreted on the basis of local environmental conditions, the effects of socioeconomic developments, and malaria control programs or capabilities. Images p458-a Figure 1. Figure 2. Figure 3. Figure 4. Figure 5.

show abstract

“…Several statistical modelling techniques, commonly referred to as bioclimatic envelope models, have been developed for assessing the geographical distribution of species as a function of climate variables (see review by Heikkinen et al, 2006). The CLIMEX modelling framework, for instance, was applied to different insect species (Sutherst and Maywald, 1985;Sutherst et al, 2000;Vanhanen et al, 2007). Other approaches include panel data modelling for fitting of regression models (Gan, 2004).…”

Section: Occurrencementioning

confidence: 99%