Fish Species Composition and Community Structure in Lake Yedang, Korea

2019 ◽  
Vol 31 (2) ◽  
pp. 101-110
Author(s):  
Seung-Young Kim ◽  
Mi-Young Song ◽  
Hyoung-Joo Jeon ◽  
Kyeong-Hwan Kim ◽  
Wan-Ok Lee ◽  
...  
Keyword(s):  
Community Structure ◽  
Species Composition ◽  
Fish Species ◽  
Fish Species Composition

Living with an engineer: fish metacommunities in dynamic patchy environments

2018 ◽  
Vol 69 (6) ◽  
pp. 883 ◽  
Author(s):  
Aneta Bylak ◽  
Krzysztof Kukuła
Keyword(s):  
Community Structure ◽  
Species Composition ◽  
Temporal Variation ◽  
Fish Species ◽  
Environmental Heterogeneity ◽  
Size Structure ◽  
Local Communities ◽  
Spatial And Temporal Variation ◽  
The Creation ◽  
Fish Species Composition

Different environmental preferences and dispersal abilities allow fish to coexist in local communities. In the present study we analysed the effects of engineering species on the community structure based on the example of the European beaver (Castor fiber) and mountainous European stream fish. We hypothesised that the creation of beaver impoundments increases environmental heterogeneity and causes a strong spatial and temporal variation in fish species composition and size structure. Finally, we placed these results in the context of the metacommunity theory. Our research was conducted over a large spatial scale, and over a relatively long (5-year) temporal scale. Data analysis revealed strong environmental gradients associated with stream size and increased environmental heterogeneity associated with the creation of beaver impoundments. The results also indicated strong spatial and temporal variation in fish species composition and size structure associated with this environmental heterogeneity. Although local communities changed over time, the main metacommunity characteristics remained constant. Fish must move and follow environmental changes for their populations and communities to persist in streams inhabited by beavers. Gaining a deeper understanding of the effects of the engineering species on fish community structure may help inform management and the conservation of stream ecosystems.

scholarly journals Comparison of Fish Species Composition Collected by Set Net at Hupo in Gyeong-Sang-Buk-Do, and Jangho in Gang-Won-Do, Korea

2014 ◽  
Vol 47 (4) ◽  
pp. 424-430 ◽  
Author(s):  
Jung-Ha Kang ◽  
Yi-Gyeong Kim ◽  
Jung-Youn Park ◽  
Jin-Koo Kim ◽  
Jung-Hwa Ryu ◽  
...  
Keyword(s):  
Species Composition ◽  
Fish Species ◽  
Fish Species Composition

Watershed-level sampling effort requirements for determining riverine fish species composition

2005 ◽  
Vol 62 (7) ◽  
pp. 1580-1588 ◽  
Author(s):  
Katherine L Smith ◽  
Michael L Jones
Keyword(s):  
Species Richness ◽  
Species Composition ◽  
Fish Species ◽  
Correlation Coefficients ◽  
Sampling Effort ◽  
Species Accumulation Curves ◽  
Targeted Sampling ◽  
Weak Negative Correlation ◽  
Fish Species Composition ◽  
Riverine Fish

Accurate assessments of watershed-level species composition are necessary for comparative ecological studies, ecosystem health assessments, monitoring, and aquatic conservation prioritization. Several studies have addressed sampling effort requirements for characterizing fish species composition at a section of stream, but none have examined watershed-level requirements. In the spring and summer of 2002, we extensively sampled nine Great Lakes watersheds to assess sampling-effort requirements. Sampling requirements increased with the targeted percentage of estimated species richness. Sampling 15–119 randomly selected reaches of stream, stratified by stream order, was on average sufficient to detect 80%–100% of estimated species richness. Watershed size (km2) and estimated species richness each showed a weak, negative correlation with sampling-effort requirements in our study streams, with Pearson's correlation coefficients of –5.06 and –0.590, respectively. Because of among-watershed variability in sampling effort requirements, field crews should plot species accumulation curves onsite to determine adequate inventory completion. Based on the difficulty of detecting the last 10% of species, random sampling should be conducted in conjunction with targeted sampling of rare species.

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