Skip to main content

Using clouds to locate threatened species

Using clouds to locate threatened species

The world map (top right) is coloured according to month of peak cloudiness (top left). Areas of little seasonality are shown in black and areas of no data are dark grey. The panels from South America (bottom left) and South Africa (bottom right) show cloud cover corresponding to the borders of distinct ecoregions (marked in red) /Wilson & Jetz/

It can be hard to protect what you are unsure about. ‘For the regions that harbour most biodiversity there’s a real lack of data on the ground,’ says Walter Jetz, Associate Professor of Ecology and Evolutionary Biology at Yale University. In many cases, species can be elusive and hotspots can be isolated geographically. Enter clouds.

Clouds could provide an unconventional source of ecological information. Cloud cover influences growth, survival, behaviour and even the reproduction of species, so by mapping the Earth’s coverage, it is possible to locate ecological biomes with startling accuracy. After observing 15 years of satellite data, a team from the University of Buffalo has done just that. ‘When we visualised the data, it was remarkable how clearly you could see many different biomes on Earth,’ says Adam Wilson, co-author of the research and Professor of Geography at the University of Buffalo. ‘As you cross from one ecosystem to another, those transitions show up very clearly.’ The cloud maps, available to play with here, allow you to directly observe the transitions at a one kilometre resolution.

If you can understand the biome and its surroundings, you can be fairly confident of the species inside it. By referring to cloud cover, the team was able to determine the location and size of habitats for two test species: the montane woodcreeper (a South American bird) and king protea (a South African shrub) with unprecedented detail. Using this kind of remote sensing from satellite data allows biologists like Jetz to predict species distribution in hard-to-reach places. ‘That finding is particularly exciting because the technique could be used to research the habitats of threatened plants and animals,’ he says. ‘Understanding the spatial patterns of biodiversity is critical if we want to make informed decisions about how to protect species and manage biodiversity.’

‘We show that remote sensing combined with the right science can be an effective tool to help inform policy,’ says Wilson.

cloud cover tends
The map shows where cloud cover tends to be consistent throughout the year (white) and where it varies depending on the season (dark blue). Much of India, southern Africa, and northern Australia experience vast swings in cloudiness throughout the year.

timing of peak cloudiness
The map shows the timing of peak cloudiness within a given year.

Via &

This post may contain affiliate links. As an Amazon Associate, I earn from qualifying purchases.


Popular posts from this blog

Find cities with similar climate

This map has been created using The Global environmental stratification. The Global environmental stratification (GEnS), based on statistical clustering of bioclimate data (WorldClim). GEnS, consists of 125 strata, which have been aggregated into 18 global environmental zones (labeled A to R) based on the dendrogram. Interactive map >> Via Related posts: -  Find cities with similar climate 2050 -  How global warming will impact 6000+ cities around the world?

The Appalachian Mountains, the Scottish Highlands, and the Atlas Mounts in Africa were the same mountain range

The Central Pangean Mountains was a prominent mountain ridge in the central part of the supercontinent Pangaea that extends across the continent from northeast to southwest through the Carboniferous , Permian Triassic periods. The mountains were formed due to a collision within the supercontinents Gondwana and Laurussia during the creation of Pangaea. It was comparable to the present Himalayas at its highest peak during the start of the Permian period. It isn’t easy to assume now that once upon a time that the Scottish Highlands, The Appalachian Mountains, the Ouachita Mountain Range, and the Atlas Mountains in northwestern Africa are the same mountains , once connected as the Central Pangean Mountains.

Human Emotions Visualized

Despite significant diversity in the culture around the globe, humanity's DNA is 99.9 percent alike. There are some characteristics more primary and typical to the human experience than our emotions. Of course, the large spectrum of emotions we can feel can be challenging to verbalize. That's where this splendid visualization by the Junto Institute comes in. This visualization is the newest in an ongoing attempt to categorize the full range of emotions logically. Our knowledge has come a long route since William James suggested 4 primary emotions: fear, grief, love, and rage. These kernel emotions yet form much of the basis for current frameworks. The Junto Institute's visualization above classifies 6 basic emotions: fear, anger, sadness, surprise, joy, love More nuanced descriptions begin from these 6 primary emotions, such as jealousy as a subset of anger and awe-struck as a subset of surprise. As a result, there are 102 second-and third-order emotions placed on this emo