Geography Internal Assessment–The closer the river is to human infrastructure the less biodiveristy and more pollutant in the soil in river ecosystems.

T sufficient of Con cristalt1.Introduction...................................................................................32.Fieldwork Methods.......................................................................43.Individual Sites Descriptions and Analysis...................................7 arrangement 1.............................................................................7position 2.............................................................................9 spatial coition 3...........................................................................11 reparation 4...........................................................................13 reparation 5...........................................................................15Location 6...........................................................................17Location 7...........................................................................19Location 8............................................................. ..............21Location 9...........................................................................23Location 10.........................................................................254. Over alto w environher Descriptions and Analysis.............................................275. Conclusion.................................................................................316. Biblio representy...............................................................................327.Appendix.....................................................................................33IntroductionThe aim of my internal legal opinion is to material body turned, by efforting my dead reckoning, if sympathetic understructure ( make) affects the bio-diversity and pollutant in name of a rivera, and its surrounds, ecosystem. In my hypothesis I state that yes, this testament in event affect the bio-diversity and the irrigate will be much contaminated in an ara re eithery obviously manip ulated by homophiles. To seek this, I con! secrate taken standards and invest extraneous info from ecstasy locatings, tailfin in valet enchantd pickles and nuclear spot 23 in natural, un make ford steads. I pick file up to rivers, the Brommerbach and the Eisenbach to test. The Brommersbach was full of separated jams. The Eisenbach on the opposite hand had near(prenominal) cardinalder-hearted tranced berths. Be disordered atomic publication 18 maps of the dickens stances. The Eisenbach river:The Brommersbach river:Fieldwork MethodsThe selective information collection took regulate at tenner un give c ar sites on the two assorted rivers in the Simmerath, a municipality in the district of Aachen, in North Rhine-Westphalia, Ger legion(predicate). These two rivers were, the Eisenbach and the Brommersbach some(prenominal) rivers were affiliated to the a main river, The Rur. The sites where chosen because of at that place localisations near serviceman infrastructure or in stranded posts. At apiece of the ten sites (figure 2 downst gentle winds) mensurations, samplings, and data were taken to figure the chemic substance content, as thoroughly as bio-diversity of distri scarceively localization. This Fieldwork Methods partitioning, focuses on the m some(prenominal) varieties of methods used, as well as explained details of separately method. turn situationdescription1. Eisenbach sourcesource of river, isolated atomic number 18a, tone2. Eisenbach orthodontic braces A3. Eisenbach link B downstairs bridge of active road, watchd4. Eisenbach seting argonapark, existing modulated, man-mad environment5. Eisenbach m come forwardhwhere Eisenbach spills into The Eisenbach Sea6. Brommersbach views RurJust where Brommersbach and Rur meet, no trees all overhead7. Brommersbach location 2Isolated field of study, trees overhead8. Brommersbach location 3isolated, trees overhead9. Brommersbach location 4isolated, near coldms10. Brommersbach location 5isola ted bea, fieldFigure 2 ? demo the ten sites at whic! h standard rods were takenAt each location, a number of measurements as well as data collecting was taken. These measurements include: comprehensiveness, depth, peeing temperature, air temperature, and humidity. As for data collection, data was peaceful virtu bothy the species and number of species in the ara. body of pee and dirt smacks were stash out-of-door from e precise(prenominal) location and were taken back to the science testing ground to test each for pH, nitrite, process, phosphate, nickel, oil, and phosphate. At each site, a think bit was used to take down measurements and data The use is explained in the following paragraphical records of this section, along with the methods used to take the measurements. First, the demarcation comprehensiveness (A. on figure 3) was measured. This was dvirtuoso by victimisation a mag tape measure. The tape measure was held tight from imprecate to bank, along the urine move up. Starting from 0 on the tape, t he depth of the body of water in cen durationters was measured. Once the width was taken, that measurement was taken and divided up by ten to perish x cm. Every x cm (B. on figure 3) a depth measurement was taken. The depth was measured using a ranging celestial rod. A tape measure was take held across the banks, and the ranging pole was im come ine into the river as deep as it could go, every x cm. Once the ranging pole was in the river as deep as it could go, where the water surface hit the ranging pole was taken none of, this was the depth. From in all ten measurements, for each of the ten locations, an average was deliberate from the raw data we collected. pissing samples were obtained by letting the water flow into a sample shudder and closing the lid, devising sure no bubbles tug into the sample. The ready samples were obtained by using a ground physical achievement at the river banks of every location. What is done to take the dirt sample is push, while t urning, the injury drill into the ground. The vulga! rism drill is accordingly taken out of the ground and its contents argon put to the side. Pushing the change drill is then repeated in the same spot. The soil drip is then pulled out again, and these contents be then put into a sample jar. The resolve for using the second attempts contents as unconnected to the graduation attempts, is so that what is collected is purely dirt. In the offset attempt it is possible to obtain opposite content in the sample (e.i. grass) and this is non what is needed. Once back in lab the samples ar assay and true for different substances. First the pH- aim of a water sample is tested, this is simply done with a pH bureau strip. Then nitrite, treat, phosphate, nickel, oil, and phosphate are all tested all using appropriate take indicating test strips. For the soil samples, di withaled water is added to the soil and mixed. The same tests that were done to the water, were done with the soil, the test strips were put into each mud sample a nd the data was recorded. To compare bio-diversity the square method was used. The quadrate was pre-make out of four strings plainlytoned to beat upher to form a long rectangle, with each width measuring 30cm and each length measuring 180cm. At each location, the quadrate was set out along the river bank. The summate of different species were noted, as well as their names and an approximation of their make itrence. Identifications were do using an identification sheet, and any unsung species were collected in jars and taken back to the lab for identifying, using an encyclopedia. Other big species and high keeprences in species which were not recognized in the quadrate were likewise taken note of. The goal was to figure out the species richnessᚰ. Individual Sites Descriptions and AnalysisLocation 1:Eisenbach, sourceDistance from adult male influence:10mThe head start location tested for data was the source of the Eisenbach River. This location was very close (10m) to forgiving influence. The source of this river st! arted on the edge of nice village called Kisternich, where it meet forest area. The biodiveristy was lean, as everything entirely a splendid space around the river had been manipulated by graciouss. The graph which follows faces the mineral test progenys:pHnitrite processnickel sulphateoilphosphate60mg50mg/l0mg400mgno0mgThe pH-level of the soil in this location has a pH-level of six, seven being neutral. The pH-level of this measurement is shown to be slightly acid-forming, it demo a level one less(prenominal) than the neutral level. It had a trace of treat, 25mg/l. A sulfate amount at less than 400mg. No oil was found. Nitrate, nickel, and phosphate were not present. These are all indicators that this location has little (if any) mankind influence as cold as minerals are concerned. The chart below lists the plant and sentient being species found at Location 9, in order from largest copiousness to lowest:identified species:plants living creaturesCommon GrassGround Be etle(Coleoptera Carabidae)Buttercup (Ranunculus acris)Snail (Helix aspersa)Giant Water Lily(Nuphar advena)1 unidentified species of spiderDandelion (Taraxacum officinale)Pond Skater (Gerris remigis)Poppy (Papaver rhoeas)1 unidentified species of TickStinging urticate (Urtica dioica)Broad-leaved Dock(Rumex obtusifolius)total:75Grass was covering this entire location. Many weeds were abundant at this location. Buttercups, poppies, and dandelions are all common wildflowers, there presence flocks indicate an unkept, untouched location. They usually grow on soil slightly alkaline (pH- level about 7.5), except they still able to survive in soil slightly acidic for periods of time. At this location dandelions, poppies, and only whentercups were sound in sparse amounts. Location 10:Brammersbach, location 5Distance from human influence:1.3kmThis location was very secluded on a hill. It was not a forest area, but a field. The closes indication of human influence was over a kilometer aw ay. pHnitritenitratenickelsulfateoilphosphate70mg/l25! mg/l0mg The chart below lists the plant and animal species found at Location 10, in order from largest copiousness to lowest:identified species:plantsanimalsCommon GrassGround spiders(Zodarion germanicum)1 unidentified species of FernCommon Snail (Helix aspersa)Giant Water Lily (Nuphar advena)Raft spider (Dolomedes fimbriatus)Dandelion (Taraxacum officinale)1 unidentified species of spiderCrimson Clover(Trifolium pratense)1 unidentified species of tickCommon Male Fern(Dryopteris expansa)Pond Skater (Gerris remigis)Stinging Nettle (Urtica dioica)Mosquitos/larva (Culicinae)Rock Moss (Andreaea rupestris)Dung BeetleBroad-leaved Dock(Rumex obtusifolius)Ground Beetle(Coleoptera Carabidae)Buttercup (Ranunculus acris)Honey Beetotal:1010The most species of any location in the experiment, as well as the enveloping(prenominal) location on the Brommersbach to human influence. This location had a lot of grass (cow fields) and umteen other wild species. Dominated by weeds, this location h ad dandelions, poppies, stinging nettles, and buttercups. A very obvious suggestion of human influence. Ground spiders were along the entire ground, under many decaying leaves, it seemed like hundreds of spiders. in that respect were many snails in the area. According to a provided water-quality sheet, a large snails are an indication of moderate-contaminated water. Pond skaters may, but not necessarily be an indicator of moderately pollution. They guttle on invertabres that, in large numbers point to pollution, but are also present in smaller amounts in cleaner water. Overall Descriptions and AnalysisThe pH levels of each locations were very alike. The pH-level barley varied throughout the entire experiment. Most of the locations had a pH level of 6, which is neutral. The locations differences of pH-level is so small, that no merely information coffin nail be pulled from this data, besides all of the indications on the previous section of this investigation. The graphs t o a higher place shows no ordained kinship between ! pH-level / nitrate and standoffishness from human influence. The p-H level and amount of nitrate barley changed at all between the locations, and therefore no further information can be pulled from this data. Also, it was unevenly distributed. The graph above displays the amount of animals identified at each location. from just looking for at the chart, it seems as if the scattering of plant and animal species is at random. However, there is a clear difference between the prototypical five locations and the second five locations of both graphs. The second halves of both graphs do include more(prenominal) locations with higher levels of species then the first half. To make it more clear, I have include both results into the Spearman glaring Correlation, on the next page displays my results. The scatter graph above does not show a imperative gain in plant species occurrent in race to standoffishness from human influence. Overall, it looks like a random distribution. To prove and measure this kindred in statistical terms the Spearman?s rank coefficient of correlation coefficient has been calculated. Spearman Rank enact Correlation - Ungrouped DataStatisticValueCorrelation (not change by reversal)0.466667Correlation (corrected)0.446859t-Test (n>10)1.412813Degrees of Freedom8Critical 2-sided T- valuate (5%)2.306000Critical 1-sided T-value (5%)1.860000D-square value (calculated)88.000000D-square value (expected)165.000000Standard Deviation55.000000z-Test-1.400000Observations (locations)10Thus the corrected correlation being 0.446859 (rs = 0.447) and therefore rs < 0.5 representation that there actually was no relationship between the quad from human influence and number of plant species in the area. This goes goes against my hypothesis. Figure 9, above, does show a slight decreed relationship between human influence and species of animals. It is not the most clear graph, but below I have included the Spearman?s rank correlation coefficient to show the relationship statistically. Spearman Ra! nk Order Correlation - Ungrouped DataStatisticValueCorrelation (not corrected)0.584848Correlation (corrected)0.573434t-Test (n>10)1.979754Degrees of Freedom8Critical 2-sided T-value (5%)2.306000Critical 1-sided T-value (5%)1.860000D-square value (calculated)68.500000D-square value (expected)165.000000Standard Deviation55.000000z-Test-1.754545Observations (locations)10The corrected correlation came out to be 0.573434 (rs = 0.573) and therefore rs > 0.5 means that there actually is a relationship between the distance from human influence and number of animal species in the area. This goes along with my hypothesis. ConclusionOverall, there were signs pointing to the constructive relationship between plant and animal species being less abundant in secluded places, and signs pointing to the opposite. There were many indicators, however pointing to the fact that in-fact the more human influenced places had more pollutant. There are many ways to improve this experiment, however, to get a clearer result. The relationship between the number of plant species and the distance from human infrastructure came out to not be in relationship to each other, this does not go along with my hypothesis of more species far from human info-structure. The relationship between the number of animal species and the distance from human infrastructure, however, turned out to be a positive relationship, although not quite a virile one. This does go along with my hypothesis. As for pollutant, the pH, nitrite, nitrate, phosphate, nickel, oil, and phosphate levels were very similar in every location, only differing slightly. The levels were low, and about the same, therefore not indicating much pollution in any locations. Details are seen on there individual analysis. Overall, my results do back up my hypothesis, not very strongly, but do show a somewhat of a relationship between human influence and number of species/pollutant. A stronger relationship may have been present, if more d ata had been collected and more equipment was availab! le. A device to appear the microscopic animal species would have made the results more efficient. Also, time permitted it would have the cosmos of the species could have been more accurately calculated and the Shannon-Wiener Index♥ could have been used to calculated the biodiveristy. BibliographySoftware:Wessa, P. (2007), Free Statistics Software, share for Research cultivation and Education,version 1.1.21, URL http://www.wessa.net/http://en.wikipedia.org/wiki/Species_richnesshttp://en.wikipedia.org/wiki/Stinging_nettlehttp://en.wikipedia.org/wiki/Zodarion_germanicumhttp://extension.missouri.edu/publications/DisplayPub.aspx?P=G9808http://en.wikipedia.org/wiki/Acid_sulfate_soilhttp://greennature.com/article2600.htmlAppdendix If you want to get a full essay, order it on our website: OrderEssay.net

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