Natural history of Minnesota

The natural history of Minnesota covers many plant and animal species in the U.S. state of Minnesota. The continental climate and location of Minnesota at the physiographic intersection of the Laurentian and the Interior Plains influences its plant and animal life. Three of North America's biomes converge in Minnesota: prairie grasslands in the southwestern and western parts of the state, the eastern temperate deciduous forests in the east-central and the southeast and the coniferous forest in the north-central and northeast.

The terrestrial biomes of Minnesota, prior to European settlement. Tallgrass aspen parkland/prairie grasslands in yellow, eastern deciduous forest in olive green, and the northern coniferous forest in dark green.

Ecoregions

An ecoregion is an area uniquely defined by environmental conditions and natural features. Ecoregions in Minnesota were largely influenced by the unique glacial history, geology, soil type, land use, and climate of the state. The United States Environmental Protection Agency, Minnesota Department of Natural Resources, and World Wildlife Fund maintain separate classifications of the state's ecoregions. Although different, they generally agree on delineating between the coniferous forest in the north-central portion and the Arrowhead, a temperate deciduous forest in the central and southeast, and the tallgrass prairie in the southern and western portions of the state.[1] The northern coniferous forests are a vast wilderness of pine and spruce trees mixed with patchy stands of birch and poplar.

Flora

Dwarf trout lily

Much of Minnesota's northern forest has been logged, leaving only a few patches of old-growth forest today in areas such as in the Chippewa National Forest and the Superior National Forest where the Boundary Waters Canoe Area Wilderness has some 400,000 acres (1,600 km2) of unlogged land.[2] Although logging continues, regrowth keeps about one third of the state forested.[3]

Flora listed as threatened on the United States Fish and Wildlife Service list of endangered species include the Prairie bush-clover (Lespedeza leptostachya), the Western Prairie Fringed Orchid (Platanthera praeclara), and Leedy's roseroot (Rhodiola integrifolia ssp. leedyi). Dwarf trout lily (Erythronium propullans) is listed as endangered.[4]

Fauna

A groundhog seen in Minneapolis, along the banks of the Mississippi River
Bison at Blue Mounds State Park in the southwestern corner of Minnesota

While loss of habitat and over harvest has affected native animals such as the pine marten, elk, bison, and the boreal woodland caribou[5] whitetail deer and bobcat thrive. The state has the nation's largest population of timber wolves outside Alaska,[6] and supports healthy populations of black bear and moose.

Located on the Mississippi Flyway, Minnesota hosts migratory waterfowl such as geese and ducks, and game birds such as grouse, pheasants, and turkeys. It is home to birds of prey including the bald eagle and red-tailed hawk, and is visited by snowy owls which come in many winters to hunt.[7]

The lakes contain sport fish such as walleye, smallmouth and largemouth bass, muskellunge, and northern pike, and streams in the southeast are populated by brook, brown, and rainbow trout.

gollark: I didn't do any horrible homoglyph hacks with THAT.
gollark: It uses the function, yes.
gollark: So, I finished that to highly dubious demand. I'd like to know how #11 and such work.
gollark: > `x = _(int(0, e), int(e, е))`You may note that this would produce slices of 0 size. However, one of the `e`s is a homoglyph; it contains `2 * e`.`return Result[0][0], x, m@set({int(e, 0), int(е, e)}), w`From this, it's fairly obvious what `strassen` *really* does - partition `m1` into 4 block matrices of half (rounded up to the nearest power of 2) size.> `E = typing(lookup[2])`I forgot what this is meant to contain. It probably isn't important.> `def exponentiate(m1, m2):`This is the actual multiplication bit.> `if m1.n == 1: return Mаtrix([[m1.bigData[0] * m2.bigData[0]]])`Recursion base case. 1-sized matrices are merely multiplied scalarly.> `aa, ab, ac, ad = strassen(m1)`> `аa, аb, аc, аd = strassen(m2)`More use of homoglyph confusion here. The matrices are quartered.> `m = m1.subtract(exponentiate(aa, аa) ** exponentiate(ab, аc), exponentiate(aa, аb) ** exponentiate(ab, аd), exponentiate(ac, аa) ** exponentiate(ad, аc), exponentiate(ac, аb) ** exponentiate(ad, аd)) @ [-0j, int.abs(m2.n * 3, m1.n)]`This does matrix multiplication in an inefficient *recursive* way; the Strassen algorithm could save one of eight multiplications here, which is more efficient (on big matrices). It also removes the zero padding.> `m = exponentiate(Mаtrix(m1), Mаtrix(m2)) @ (0j * math.sin(math.asin(math.sin(math.asin(math.sin(math.e))))), int(len(m1), len(m1)))`This multiples them and I think also removes the zero padding again, as we want it to be really very removed.> `i += 1`This was added as a counter used to ensure that it was usably performant during development.> `math.factorial = math.sinh`Unfortunately, Python's factorial function has really rather restrictive size limits.> `for row in range(m.n):`This converts back into the 2D array format.> `for performance in sorted(dir(gc)): getattr(gc, performance)()`Do random fun things to the GC.
gollark: > `globals()[Row + Row] = random.randint(*sys.version_info[:2])`Never actually got used anywhere.> `ε = sys.float_info.epsilon`Also not used. I just like epsilons.> `def __exit__(self, _, _________, _______):`This is also empty, because cleaning up the `_` global would be silly. It'll be overwritten anyway. This does serve a purpose, however, and not just in making it usable as a context manager. This actually swallows all errors, which is used in some places.> `def __pow__(self, m2):`As ever, this is not actual exponentiation. `for i, (ι, 𐌉) in enumerate(zip(self.bigData, m2.bigData)): e.bigData[i] = ι + 𐌉` is in fact just plain and simple addition of two matrices.> `def subtract(forth, 𝕒, polynomial, c, vector_space):`This just merges 4 submatrices back into one matrix.> `with out as out, out, forth:`Apart from capturing the exceptions, this doesn't really do much either. The `_` provided by the context manager is not used.> `_(0j, int(0, 𝕒.n))`Yes, it's used in this line. However, this doesn't actually have any effect whatsoever on the execution of this. So I ignore it. It was merely a distraction.> `with Mаtrix(ℤ(ℤ(4))):`It is used again to swallow exceptions. After this is just some fluff again.> `def strassen(m, x= 3.1415935258989):`This is an interesting part. Despite being called `strassen`, it does not actually implement the Strassen algorithm, which is a somewhat more efficient way to multiply matrices than the naive way used in - as far as I can tell - every entry.> `e = 2 ** (math.ceil(math.log2(m.n)) - 1)`This gets the next power of two in a fairly obvious way. It is used to pad out the matrix to the next power of 2 size.> `with m:`The context manager is used again for nicer lookups.> `Result[0] += [_(0j, int(e, e))]`Weird pythonoquirkiness again. You can append to lists in tuples with `+=`, but it throws an exception as they're sort of immutable.> `typing(lookup[4])(input())`It's entirely possible that this does things.

References

  1. "Biomes of Minnesota". Minnesota Department of Natural Resources. Retrieved 2009-08-16.
  2. Heinselman, Miron (1996). The Boundary Waters Wilderness Ecosystem. Minneapolis, Minnesota: University of Minnesota Press. ISBN 0-8166-2805-X.
  3. Bewer, Tim (2004). Moon Handbooks Minnesota (First ed.). Avalon Travel Publishing. ISBN 1-56691-482-5.
  4. "Listing and occurrences for Minnesota". Species Reports. United States Fish and Wildlife Service. November 30, 2010. Retrieved November 30, 2010.
  5. Bison disappeared in the mid-1800s; the last bison was reported in southwest Minnesota in 1879. Moyle, J. B. (1965). Big Game in Minnesota, Technical Bulletin, no. 9. Minnesota Department of Conservation, Division of Game and Fish, Section of Research and Planning. p. 172. As referenced in Anfinson, Scott F. (1997). Southwestern Minnesota Archaeology. St. Paul, Minnesota: Minnesota Historical Society. p. 20. ISBN 0-87351-355-X.
  6. "Comprehensive Report Species - Canis lupus". Retrieved 2007-05-07.
  7. Snowy owl, Minnesota Department of Natural Resources (2019).
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