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2.
Nat Commun ; 14(1): 7890, 2023 Nov 30.
Article in English | MEDLINE | ID: mdl-38036522

ABSTRACT

A prominent hypothesis in ecology is that larger species ranges are found in more variable climates because species develop broader environmental tolerances, predicting a positive range size-temperature variability relationship. However, this overlooks the extreme temperatures that variable climates impose on species, with upper or lower thermal limits more likely to be exceeded. Accordingly, we propose the 'temperature range squeeze' hypothesis, predicting a negative range size-temperature variability relationship. We test these contrasting predictions by relating 88,000 elevation range sizes of vascular plants in 44 mountains to short- and long-term temperature variation. Consistent with our hypothesis, we find that species' range size is negatively correlated with diurnal temperature range. Accurate predictions of short-term temperature variation will become increasingly important for extinction risk assessment in the future.


Subject(s)
Climate , Ecosystem , Temperature , Hot Temperature , Climate Change
3.
BMC Ophthalmol ; 22(1): 120, 2022 Mar 12.
Article in English | MEDLINE | ID: mdl-35279123

ABSTRACT

BACKGROUND: Epidemiological studies to determine the pattern of eye disorders among children are important for proper health care planning and management. This study aimed to document the spectrum and frequency of eye diseases in children who attended the pediatric ophthalmology clinic of a tertiary teaching hospital in Addis Ababa, Ethiopia. METHODS: A cross-sectional and convenient sample of 1237 male and female children (16 years and below) with ocular disorders presenting for the first time and those children with a settled diagnosis coming for a follow-up visit between June 1, 2018, and May 31, 2019, were included in the study. Data on presentation age, sex, and diagnosis were collected and analyzed. Eye disorders were classified into various categories. Children were grouped into four age groups. Ratios, percentages, and chi-square associations were calculated. P < 0.05 was considered statistically significant. RESULTS: Of the children, 60% were male. The mean age (standard deviation) of the children was 4.26 (± 4.1) years. Patients aged 0- < 6 years old were the largest group, constituting 70.5%. Ocular motility imbalances were the most common ocular disorders seen (32.8%), followed by childhood cataract (18.4%) and infection and inflammation of the eye and adnexa (8.3%). Ocular motility imbalances were observed more frequently and statistically significantly (p < 0.001) in children aged 1- < 6 years. Within the childhood cataract category, congenital cataracts were more prominent (7.1%). Within the infection and inflammation category, corneal/scleral infections were more common (3.7%). CONCLUSIONS: The study highlights common eye disorders seen in children in a specialized hospital ophthalmic clinic. Ocular motility imbalance, childhood cataracts, infection and inflammation of the eye and adnexa were the most commonly occurring disorders. Early presentation was common, and males were more affected than females.


Subject(s)
Eye Diseases , Ophthalmology , Child , Child, Preschool , Cross-Sectional Studies , Ethiopia/epidemiology , Eye Diseases/diagnosis , Eye Diseases/epidemiology , Female , Hospitals, Teaching , Humans , Infant , Infant, Newborn , Male , Prevalence , Tertiary Care Centers
4.
Sci Rep ; 12(1): 1858, 2022 02 03.
Article in English | MEDLINE | ID: mdl-35115621

ABSTRACT

Climate change impacts the structure, functioning, and distribution of species and ecosystems. It will shift ecosystem boundaries, potentially affecting vulnerable ecosystems, such as tropical Africa's high mountain ecosystems, i.e., afroalpine ecosystems, and their highly susceptible uniquely adapted species. However, ecosystems along these mountains are not expected to respond similarly to the change. The ericaceous woody vegetation, located between the low-elevation broadleaf forests and high-elevation afroalpine vegetation, are anticipated to be affected differently. We hypothesize that projected climate change will result in an upward expansion and increasing dominance of ericaceous vegetation, which will negatively impact the endemic rich afroalpine ecosystems of the extensive Sanetti plateau. Hence, we modeled the impact of future climate change on the distribution of ericaceous vegetation and discussed its effect on bordering ecosystems in the Bale Mountains. We applied four familiar correlative modeling approaches: bioclim, domain, generalized linear methods, and support vector machines. We used WorldClim's bioclimatic variables as environmental predictors and two representative concentration pathways (RCPs) of the IPCC Fifth Assessment Report climate change scenarios, namely RCP4.5 and RCP8.5 for future climate projection. The results indicate increased ericaceous vegetation cover on the midaltitude of northwestern and northern parts of the massif, and the Sanetti plateau. We observed upward range expansion and increase of close ericaceous vegetation in midaltitudes, while receding from the lower range across the massif. Moreover, the current ericaceous vegetation range correlates to the temperature and precipitation trends, reaffirming the critical role of temperature and precipitation in determining species distributions along elevational gradients. The results indicate the high likelihood of considerable changes in this biodiversity hotspot in Eastern Africa.

5.
Ecol Evol ; 7(2): 771-779, 2017 01.
Article in English | MEDLINE | ID: mdl-28116071

ABSTRACT

Ecosystems that provide environmental opportunities but are poor in species and functional richness generally support speciation as well as invasion processes. These processes are expected not to be equally effective along elevational gradients due to specific ecological, spatial, and anthropogenic filters, thus controlling the dispersal and establishment of species. Here, we investigate speciation and invasion processes along elevational gradients. We assess the vascular plant species richness as well as the number and percentage of endemic species and non-native species systematically along three elevational gradients covering large parts of the climatic range of La Palma, Canary Islands. Species richness was negatively correlated with elevation, while the percentage of Canary endemic species showed a positive relationship. However, the percentage of Canary-Madeira endemics did not show a relationship with elevation. Non-native species richness (indicating invasion) peaked at 500 m elevation and showed a consistent decline until about 1,200 m elevation. Above that limit, no non-native species were present in the studied elevational gradients. Ecological, anthropogenic, and spatial filters control richness, diversification, and invasion with elevation. With increase in elevation, richness decreases due to species-area relationships. Ecological limitations of native ruderal species related to anthropogenic pressure are in line with the absence of non-native species from high elevations indicating directional ecological filtering. Increase in ecological isolation with elevation drives diversification and thus increased percentages of Canary endemics. The best preserved eastern transect, including mature laurel forests, is an exception. The high percentage of Canary-Madeira endemics indicates the cloud forest's environmental uniqueness-and thus ecological isolation-beyond the Macaronesian islands.

6.
Environ Monit Assess ; 184(12): 7473-89, 2012 Dec.
Article in English | MEDLINE | ID: mdl-22278677

ABSTRACT

Shifts in biological communities are occurring at rapid rates as human activities induced global climate change increases. Understanding the effects of the change on biodiversity is important to reduce loss of biodiversity and mass extinction, and to insure the long-term persistence of natural resources and natures' services. Especially in remote landscapes of developing countries, precise knowledge about on-going processes is scarce. Here we apply satellite imagery to assess spatio-temporal land use and land cover change (LULCC) in the Bale Mountains for a period of four decades. This study aims to identify the main drivers of change in vegetation patterns and to discuss the implications of LULCC on spatial arrangements and trajectories of floral communities. Remote sensing data acquired from Landsat MSS, Landsat ETM + and SPOT for four time steps (1973, 1987, 2000, and 2008) were analyzed using 11 LULC units defined based on the dominant plant taxa and cover types of the habitat. Change detection matrices revealed that over the last 40 years, the area has changed from a quite natural to a more cultural landscape. Within a representative subset of the study area (7,957.5 km(-2)), agricultural fields have increased from 1.71% to 9.34% of the total study area since 1973. Natural habitats such as upper montane forest, afroalpine grasslands, afromontane dwarf shrubs and herbaceous formations, and water bodies also increased. Conversely, afromontane grasslands have decreased in size by more than half (going from 19.3% to 8.77%). Closed Erica forest also shrank from 15.0% to 12.37%, and isolated Erica shrubs have decreased from 6.86% to 5.55%, and afroalpine dwarf shrubs and herbaceous formations reduced from 5.2% to 1.56%. Despite fluctuations the afromontane rainforest (Harenna forest), located south of the Bale Mountains, has remained relatively stable. In conclusion this study documents a rapid and ecosystem-specific change of this biodiversity hotspot due to intensified human activities (e.g., deforestation, agriculture, infrastructure expansion). Specifically, the ecotone between the afromontane and the afroalpine area represent a "hotspot of biodiversity loss" today. Taking into consideration the projections of regional climate warming and modified precipitation regimes, LULCC can be expected to become even more intensive in the near future. This is likely to impose unprecedented pressures on the largely endemic biota of the area.


Subject(s)
Conservation of Natural Resources , Agriculture/statistics & numerical data , Biodiversity , Climate Change/statistics & numerical data , Conservation of Natural Resources/statistics & numerical data , Ecosystem , Environmental Monitoring/methods , Ethiopia , Humans , Plants/classification , Urbanization/trends
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