Lab 10 Oceania
Our final module for the semester was on Oceania, which
includes Australia, the realms of the Pacific Islands, Polar regions of the
Arctic and Antarctic. This is the only
world region not connected by land to another region. The region of Oceania is
connected more by its isolation than by a shared physiography or human
experience. The region is dominated by
Australia, not only by its size but also its economics and population. Australia and New Zealand are culturally
similar; however, their physical landscapes are quite different. Australia's outback consists of extensive
grassland that supports one of the world's largest sheep and cattle
industries. It is also home to the Great
Barrier Reef, the world's largest coral reef, that stretches over 1400
miles. Australia is geographically
stable, while New Zealand is on the boundary of the Australia and Pacific
plates and is prone to both earthquakes and volcanoes. The Pacific islands to the north and east of
Australia are divided into three regions: Polynesia, Melanesia, and
Micronesia. A number of these islands
form atolls, or ring-shaped chains of coral islands surrounding a central
lagoon. When Pangea began to break apart
175 million years ago, egg laying mammals were beginning to evolve. When Australia broke off the super continent,
these egg laying mammals were isolated and not pushed out by more advanced
mammals. Australia also has more deadly
snakes that any other county in the world.
Lab 10 we were able
to search for our own layers and prepare us for our final project. I chose to look at the massive brush fires
the affected Australia 5 years ago and the effect it had on the Koala
population. The two layers I added were
Koala Habitat around Brisbane which had the following metadata: the author is
s4637936_UQmaps, the date is September 18, 2024, This dataset shows Phascolarctos
cinereus (koala) Habitat Suitability Model delineating core habitat for the
species across remnants and regrowth vegetation within the South East
Queensland (SEQ) regional planning boundary area (also referred as ShapingSEQ).
Koala habitat areas are matter of state environmental significance (MSES) for
the purposes of the State Planning Policy 2017 (SPP). The other layer is Wildfire Severity
(2019-2020) and the metadata included: Wildfire Severity (2019-2020), The
author is DCCEEW_Geospatial, the date is July 31, 2024, the purpose is to
quantify the potential impacts of the 2019/2020 brushfires on wildlife, plants,
and ecological communities, and identify appropriate response and recovery
actions. The attribute for layer Koala
Habitat included: Percent of population return following brushfires, Confidence
populations are returning to preferred habitat (high, med, low). The other layer did not contain an attribute
table. The modifications I made included:
I added the Imagery Hybrid Basemap to my project. It allows for a visualization of terrain,
infrastructure, and urban/suburban areas affected by the fires. Wildfire Severity layer did not allow for
labels (probably since there is no attribute table.) For the Koala Habitat layer I added the
percentage labels for koalas the percentage of the koala population that was
lost to the fire. I adjusted the size of
the labels, so they are still legible but not overwhelming. The importance and reason I created the map
was: I wanted to be able to show how the massive wildfires of 2019 and 2020
effected the koala population around Brisbane Australia. The data layer for the
koala habitat features the population changes due to the fires, but it would
not have made much sense without visualizing where those fires were and how
sever they had been. The Wildfire
Severity layer shows the amount of vegetation destroyed during the fires with
darker colors representing the most vegetation lost. These two lay correlate that the koala population
was most effected in areas that lost more vegetation.

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