التفاصيل البيبلوغرافية
| العنوان: |
Description of the study design. |
| المؤلفون: |
Jeanine Brantschen (11462575), Rosetta C. Blackman (11462578), Jean-Claude Walser (274515), Florian Altermatt (82469) |
| سنة النشر: |
2021 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Ecology, Inorganic Chemistry, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, provided reliable classifications, nevertheless directly comparable, detected indicators resulted, random forest approach, gave complementary data, gamma diversity ), alpha diversity ), subsequently calculated indices, river status categories, affecting community composition, 145 indicator taxa, subsequent ecological classification, net community data, machine learning approach, traditional monitoring methods, assess biodiversity patterns, diversity patterns, machine learning, indicator taxa, ecological classification, net approach, river sites, compared monitoring, based indices |
| الوصف: |
A) The taxonomic composition of benthic macroinvertebrates at each sampling site was assessed with two methods: Kick-net and eDNA sampling. Subsequently, the focal index on the biological state (IBCH Index) was calculated from kick-net and eDNA data. B) Map of Switzerland showing the spatial setup of the biomonitoring sampling sites. Sampling sites are given as black points overlaid on the main network of rivers and lakes. Different blue shading highlights major catchments of Switzerland. |
| نوع الوثيقة: |
still image |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/figure/Description_of_the_study_design_/16653661 |
| DOI: |
10.1371/journal.pone.0257510.g001 |
| الاتاحة: |
https://doi.org/10.1371/journal.pone.0257510.g001 |
| Rights: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.E61C9F5D |
| قاعدة البيانات: |
BASE |