کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5757334 1622716 2017 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Environmental drivers of heterogeneity in the trophic-functional structure of protozoan communities during an annual cycle in a coastal ecosystem
ترجمه فارسی عنوان
رانندگان محیط زیست ناهمگنی در ساختار طیفی-عملکردی جوامع پروتوزایی طی یک دوره سالانه در اکوسیستم ساحلی
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات اقیانوس شناسی
چکیده انگلیسی


- The annual patterns of functional structure of protozoa showed clear spatial variations.
- Spatial variations in functional structure were significantly related to nutrient variables.
- Nutrients and dissolve oxygen may be the main drivers to shape the spatial differences.
- Spatial pattern of functional structure of protozoa may reflect water quality status.

Trophic-functional groupings are an important biological trait to summarize community structure in functional space. The heterogeneity of the tropic-functional pattern of protozoan communities and its environmental drivers were studied in coastal waters of the Yellow Sea during a 1-year cycle. Samples were collected using the glass slide method at four stations within a water pollution gradient. A second-stage matrix-based analysis was used to summarize spatial variation in the annual pattern of the functional structure. A clustering analysis revealed significant variability in the trophic-functional pattern among the four stations during the 1-year cycle. The heterogeneity in the trophic-functional pattern of the communities was significantly related to changes in environmental variables, particularly ammonium-nitrogen and nitrates, alone or in combination with dissolved oxygen. These results suggest that the heterogeneity in annual patterns of protozoan trophic-functional structure may reflect water quality status in coastal ecosystems.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Marine Pollution Bulletin - Volume 121, Issues 1–2, 15 August 2017, Pages 400-403
نویسندگان
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