Spanish II. Costa Rica Country Profile. Lesson 7 Jennifer Dahlgren Che Guevara — Lesson 8 Classic Argentinian Alfajores Cookies. Is Puerto Rice Part of the U. Lesson 12 The Latin Dance of Bachata. Lesson 24 17 Photos that show what life is like on the U. Lesson 27 Courtyards of Latin America.
Lesson 28 Dominican Republic. Spanish III. Lesson 3 Tacos al pastor, classic Mexican tacos. Museums Smithsonian Latino Virtual Museum. Lesson 8 Spanish Newspapers in the U. Lesson 12 Leonardo DiCaprio confiesa su gusto por las pupusas Pupusas recipe. Lesson 19 Nasca Lines. Lesson 24 Building Human Towers in Spain. Lesson 25 Thinking of buying a deserted village in Spain? Foodways: Sustainable Food Systems. Video: Autotrophs vs. Heterotrophs Article: Soil Food Web.
Lesson 9 Article: What Is Agribusiness? Documentary: Those Who Sow. Lesson 14 Video: Stages of Service Learning. In this course, you are asked to keep track of the sources you use when researching the reading topics in each lesson. The following print publications and online sources can be used as a starting point for your research.
This list is not comprehensive—you will need to do additional research to locate relevant sources of information. World Geography.grouz-lait.com/layouts/2019-03-19/mexyz-aries-love.php
Finding a Video Poker Bug Made These Guys Rich—Then Vegas Made Them Pay
World population clock Radio around the world. Forces that shape Earth World glacier inventory. Reference encyclopedia Climate change Humans and the Greenhouse Effect. Percent of arable land Canada statistics. Demographic trends in the U. Immigration Trends in the U. Earliest inhabitants of North America Population and energy consumption. Wastewater treatment and water recycling Economics of sports franchise location Inca construction of Machu Picchu. World History. This list is not comprehensive — you will need to do additional research to locate relevant sources of information.
Evaluating Internet Sources.
Diamond W. Word: The Poet's Voice. Below you will find links to each of the poems in the course, plus the spoken word performances, as well as general resources to help increase your understanding and enjoyment of poetry. Author website: Ursula K. Math Connections. How to Solve It by George Polya. For help and extra practice with the concepts in this chapter:. A proof that some infinities are bigger than others A good explanation of infinite sets also click through to the next page to continue the story An excellent TED-Ed lesson on the Infinite Hotel Paradox.
Fibonnaci applications Puzzles whose solutions relate to the Fibonacci numbers.
SET, a fun and educational card game , is also available online and as an app. Khan Academy has a good explanation of how to use the Sieve of Eratosthenes to find prime numbers Explanations and examples for the order of operations Rational and irrational numbers Khan Academy also has an entire section devoted to Scientific Notation Exponent rules explained Explanations and examples for arithmetic and geometric sequences. Graphing linear equations Explanation of function evaluation Explanation of scatterplots and regression lines Solving systems of linear equations Solving systems of linear inequalities.
In other words, just because two variables are related does not mean that one of the variables caused the other.
This is a common logical fallacy that leads to invalid conclusions. Mean flower densities for the rarest seed mix species were 3—4 orders of magnitude lower perennials Stachys sylvatica 0. Many of the weed species recorded in our surveys had a mean density over all sampled quadrats of less than 0.
The Bee Blog
Variation in meadow composition between cities and time points as revealed by NMDS and the two dominant axes of floral variation is shown in Fig 3. Stress values for these analyses were 0. Repeated iterations of NMDS nevertheless produce very similar patterns in each dataset. No clear divergence among cities is apparent, although for annual meadows Bristol and Leeds group more closely with each other than with Edinburgh. Regional drought aside, the implication is that for each seed mix treatment, variation in meadow composition and abundance depends strongly on season and less on geographical position in the UK.
All planted meadow treatments produced significantly more nectar sugar than amenity grassland controls Table 1. Perennial meadows produced significantly more nectar than both A1 and A2 annual meadow treatments, which did not differ significantly from one another Table 1. Changes in meadow-level nectar sugar mass through the season are shown for the five Edinburgh replicates in each of the A1, A2 and P treatments in Fig 4 ; equivalent plots for the other three cities are shown in S4 Fig.
One perennial meadow Saughton, excluded from statistical analyses performed very poorly due to accidental mowing. The maximum value for any control site was for the late June survey at Morningside Park, with a mean value of Nectar productivity of perennial meadows peaked earlier in the year early August for all replicates than for annual A1 meadows which all peaked in late August or September. Annual meadows produced little or no nectar in June and July. Data were sampled at three-week intervals through The poor performance of the Saughton perennial meadow was due to accidental mowing, and this replicate was excluded from statistical analyses.
The contribution by individual species to nectar sugar in each Edinburgh meadow treatment is shown in Fig 5. Most of the nectar sugar was provided by one or a few species at a given seasonal time point. A high proportion of early season nectar production in all treatments was contributed by native weed species—particularly Taraxacum agg. The high early August peak in nectar production of perennial meadows was largely due to abundant flowering of Daucus carota , and to a lesser extent Achillea millefolium and Echium vulgare.
The percentage of total meadow nectar sugar mass attributable to each species is indicated by the height of the filled polygon for that species at a given seasonal time point. Values at each time point are based on x 1m 2 quadrats across 5 replicate meadows at each time point for each meadow treatment.
Read e-book Zero to Ten. Counting Insects Playing in the Meadow
Consideration of the other three cities Fig 6 and S4 Fig shows that perennial meadows again had higher nectar abundance than both A1 and A2 annual treatments in Bristol and Leeds, and that nectar productivity in perennial meadows again peaked earlier in the year than in A1 meadows. Perennial meadows in Reading performed poorly relative to other cities, and showed no clear seasonal peak in nectar production see Discussion. There is some evidence of a latitudinal effect in the annual meadow treatments, with nectar production increasing earlier in the year in southern cities June and July in Bristol and Reading than further north early August in Edinburgh and Leeds.
Whilst per-species estimates using the seven-quadrat sampling regime are subject to the stochastic patterns shown in S1 and S2 Figs, the same species that dominated perennial nectar sugar production in Edinburgh also dominated in the other three cities: over all cities, replicates and time points, Daucus carota contributed The annual meadows showed more heterogeneous patterns of species abundance and resource contribution, with Centaurea cyanus making the greatest contribution overall to nectar Each mix contained some species that contributed very little nectar sugar.