Environmental impact assessment of landfill leachate on aquatic values in major tributary to the Salmo River. Water quality impacts quantified using analysis of benthic macro-invertebrate and periphyton communities. Fieldwork, analysis and reporting completed. Reproducible workflows conducted in R including standardization of 2003 – 2019 project data and amalgamation within a sqlite database. Formulated recommendations for future program components including water and aquatic organism sample site locations/timing.
NMDS is an ordination procedure that represents benthic invertebrate species assemblages as points within coordinate frames based on the rank order of among sample dissimilarities. In community ecology, NMDS is often regarded as the most robust ordination method as it does not rely on assumptions about distribution of sample data and because it’s distance-preserving properties can provide clarity in communicating results of impact studies to environmental managers. As part of our work with the Regional District we incorporated NMDS ordination models in both report 2D plots as well as interactive 3D deliverables.
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- January 1, 0001
- 1 minute read, 167 words
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Tathmini ya athari za mazingira ya leachate ya kufukuzwa kwa taka kwenye maadili ya maji katika kijito kikuu cha Mto Salmo. Athari za ubora wa maji zilizopimwa kwa kutumia uchambuzi wa jamii za benthic macro-invertebrate na periphyton. Kazi ya shambani, uchambuzi na ripoti kukamilika. Utaratibu wa kazi unaoweza kuzalishwa unaofanywa katika R, ikiwa ni pamoja na kiwango cha data ya mradi wa 2003-2019 na kuunganisha ndani ya hifadhidata ya SQLite. Mapendekezo yaliyoundwa kwa vipengele vya programu ya baadaye ikiwa ni pamoja na maeneo ya sampuli ya maji na viumbe vya majini na wakati. NMDS ni utaratibu wa utaratibu ambao unawakilisha makundi ya spishi za benthic invertebrate kama pointi ndani ya mifumo ya kuratibu kulingana na utaratibu wa cheo kati ya tofauti za sampuli. Katika ikolojia ya jamii, NMDS mara nyingi huchukuliwa kama njia thabiti zaidi ya utaratibu kwani haitegemei dhana juu ya usambazaji wa data ya sampuli na kwa sababu mali yake ya kuhifadhi umbali inaweza kutoa uwazi katika kuwasiliana matokeo ya masomo ya athari kwa wasimamizi wa mazingira. Kwa mfano, katika sehemu ya kazi yetu ya kuanzisha, tumeunganisha mifano ya utaratibu wa NMDS katika ripoti zote mbili za 2D na pia katika matokeo ya maingiliano ya 3D. "Kama ilivyoelezwa katika makala ya ""Mwezi wa 1, 2017"" na ""Mwezi wa 1, 2017"" na ""Mwaka wa 1, 2017"" na ""Mwaka wa 1, 2017"" na ""Mwaka wa 1, 2017"" na ""Mwaka wa 1, 2017"" na ""Mwaka wa 1, 2017"" na ""Mwaka wa 1"" na ""Mwaka wa 1."""