The influence of water characteristics on the aquatic insect and plant assemblage in small irrigation ponds in Civilian Control Zone, Korea

Kim, Jae Hyun; Chung, Hyun Yong; Kim, Seoung Ho; Kim, Jae Geun

doi:10.17663/jwr.2016.18.4.331

Cited by 20 publications

(7 citation statements)

References 47 publications

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“…These two differences may affect the number of species. However, the size did not decide the species number in farm ponds with an area of less than 1,000 m 2 in Korea (Kim et al 2016). Also, in the experimental ponds, all emerged species in deeper zones over 60 cm overlapped with the emerged species in shallower zones (data not shown).…”

Section: Discussionmentioning

confidence: 99%

Effect of initial planting on vegetation establishment in different depth zones of constructed farm ponds

Choi

Kim

Nam

et al. 2021

Restoration Ecology

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Farm ponds can be constructed and maintained to improve biodiversity and ecosystem functions in agricultural landscapes. Understanding the initial establishment process of vegetation in different water depths and effects of initial planting on this process is important for pond restoration. In the present study, two experimental farm ponds with or without initial planting were monitored for 5 years after their construction. These two ponds maintained high nutrients over 5 years from the beginning. The unplanted pond showed a rapid vegetation establishment and had more species and higher percent vegetation cover in 2–3 years than the reference pond. Planting accelerated this process by 1 year. Most of the early established species appeared to have originated from seed banks and/or seed rains. The species and functional diversity tended to decrease consistently since pond construction in the planted pond but increase initially and then decrease in the unplanted pond. The time when species composition between the unplanted pond and the planted pond became similar was delayed with the increase of water depth. Four years after pond construction, species composition was similar between the two ponds at all water depths. These results suggest that vegetation can establish quickly in farm ponds with fertile conditions and abundant seed sources through natural recolonization. The restoration approach for a farm pond should be decided considering the allowed time to success and the water depth. If the main goal of farm pond restoration is to improve species diversity, management practices may be more important than planting.

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Section: Discussionmentioning

confidence: 99%

Effect of initial planting on vegetation establishment in different depth zones of constructed farm ponds

Choi

Kim

Nam

et al. 2021

Restoration Ecology

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“…The eutrophication of these ponds can be problematic for the ecosystems and human health. Different studies show that these ponds have an important effect on biodiversity, such as providing refuges for endangered species that live in freshwater bodies [4][5][6]. Biodiversity has essential advantages in human and agricultural environments.…”

Section: Introductionmentioning

confidence: 99%

Development of a Low-Cost Optical Sensor to Detect Eutrophication in Irrigation Reservoirs

Rocher

Parra

Jiménez

et al. 2021

Sensors

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In irrigation ponds, the excess of nutrients can cause eutrophication, a massive growth of microscopic algae. It might cause different problems in the irrigation infrastructure and should be monitored. In this paper, we present a low-cost sensor based on optical absorption in order to determine the concentration of algae in irrigation ponds. The sensor is composed of 5 LEDs with different wavelengths and light-dependent resistances as photoreceptors. Data are gathered for the calibration of the prototype, including two turbidity sources, sediment and algae, including pure samples and mixed samples. Samples were measured at a different concentration from 15 mg/L to 4000 mg/L. Multiple regression models and artificial neural networks, with a training and validation phase, are compared as two alternative methods to classify the tested samples. Our results indicate that using multiple regression models, it is possible to estimate the concentration of alga with an average absolute error of 32.0 mg/L and an average relative error of 11.0%. On the other hand, it is possible to classify up to 100% of the samples in the validation phase with the artificial neural network. Thus, a novel prototype capable of distinguishing turbidity sources and two classification methodologies, which can be adapted to different node features, are proposed for the operation of the developed prototype.

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“…Japan has approximately 200,000 irrigation ponds, most of which were constructed during the 17th to 19th centuries [18]. Despite their small size and the high risk of pesticide contamination and other stressors [19][20][21][22], the irrigation ponds can potentially sustain high taxonomic richness and make significant contributions to regional biodiversity [23][24][25][26]. Further, many endangered species inhabit the irrigation ponds [27]; the ponds function as refuges for various aquatic plants and wetland animals, because 61.1% of wetlands had already been lost by 2000 in Japan [18].…”

Section: Introductionmentioning

confidence: 99%

Combined impact of pesticides and other environmental stressors on animal diversity in irrigation ponds

et al. 2020

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Rice paddy irrigation ponds can sustain surprisingly high taxonomic richness and make significant contributions to regional biodiversity. We evaluated the impacts of pesticides and other environmental stressors (including eutrophication, decreased macrophyte coverage, physical habitat destruction, and invasive alien species) on the taxonomic richness of freshwater animals in 21 irrigation ponds in Japan. We sampled a wide range of freshwater animals (reptiles, amphibians, fishes, mollusks, crustaceans, insects, annelids, bryozoans, and sponges) and surveyed environmental variables related to pesticide contamination and other stressors listed above. Statistical analyses comprised contraction of highly correlated environmental variables, best-subset model selection, stepwise model selection, and permutation tests. Results showed that: (i) probenazole (fungicide) was a significant stressor on fish (i.e., contamination with this compound had a significantly negative correlation with fish taxonomic richness), (ii) the interaction of BPMC (insecticide; also known as fenobucarb) and bluegill (invasive alien fish) was a significant stressor on a "large insect" category (Coleoptera, Ephemeroptera, Hemiptera, Lepidoptera, Odonata, and Trichoptera), (iii) the interaction of BPMC and concrete bank protection was a significant stressor on an "invertebrate" category, (iv) the combined impacts of BPMC and the other stressors on the invertebrate and large insect categories resulted in an estimated mean loss of taxonomic richness by 15% and 77%, respectively, in comparison with a hypothetical pond with preferable conditions.

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The influence of water characteristics on the aquatic insect and plant assemblage in small irrigation ponds in Civilian Control Zone, Korea

Cited by 20 publications

References 47 publications

Effect of initial planting on vegetation establishment in different depth zones of constructed farm ponds

Effect of initial planting on vegetation establishment in different depth zones of constructed farm ponds

Development of a Low-Cost Optical Sensor to Detect Eutrophication in Irrigation Reservoirs

Combined impact of pesticides and other environmental stressors on animal diversity in irrigation ponds

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