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Cuffney, Thomas F.; Meador, Michael R.; Porter, Stephen D.; Gurtz, Martin E.

doi:10.1023/a:1006473106407

Cited by 87 publications

(3 citation statements)

References 18 publications

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“…Fish were collected using five methods: electrofishing, fyke nets (16 meters long with 1.3-centimeter bar mesh and a 0.9-by 1.8-meter door), gill nets, seining, and trawling. Backpack electrofishing or barge electrofishing was used in shallow areas without boat access, as described in Meador, Cuffney, and Gurtz (1993). Boat electrofishing was used primarily in deep reaches with boat access.…”

Section: Site-selection and Data-collection Methodsmentioning

confidence: 99%

Fish, benthic-macroinvertebrate, and stream-habitat data from two estuaries near Galveston Bay, Texas, 2000-2001

Hogan¹

2002

Open-File Report

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This report presents data on the status of fish, macroinvertebrates, and stream habitat collected from 10 sites in the lower (estuarine) parts of Armand and Dickinson Bayous near Galveston Bay, Texas, during summer 2000 and winter 2001. The total number of individual fish caught at the five Armand Bayou sites (2,091) was greater than at the five Dickinson Bayou sites (1,055), but the total number of fish species caught at Dickinson Bayou sites (37) was greater than at Armand Bayou sites (30). The total number of invertebrates (26,641) and the total number of invertebrate taxa (141) were both greater at Armand Bayou sites than at Dickinson Bayou sites (10,467 and 131, respectively). Among habitat data, the average sinuosity of Armand Bayou sites (1.31) was greater than that of Dickinson Bayou sites (1.14). Mean left-bank and right-bank slopes were greater at Armand Bayou sites than at Dickinson Bayou sites, although the Armand Bayou banks were lower and narrower than the Dickinson Bayou banks. The Dickinson Bayou channel was deeper at the sampling sites than the Armand Bayou channel.

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Section: Site-selection and Data-collection Methodsmentioning

confidence: 99%

Fish, benthic-macroinvertebrate, and stream-habitat data from two estuaries near Galveston Bay, Texas, 2000-2001

Hogan¹

2002

Open-File Report

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“…Since water clarity is co-determined by the suspended matter, planktonic algae, and colored dissolved organic matter in the water column, it is usually adopted as a practical comprehensive metric for water quality assessment (Kloiber et al, 2002;Mccullough et al, 2012). Although a variety of physical, biological, and chemical parameters have been proposed to analyze the condition of water, water clarity has been utilized for a century as an effective and simple metric (Cuffney et al, 2000;Lee et al, 2018). Recently, water clarity was also recognized as an important parameter in support of the United Nations Sustainable Development Goal SDG 6.3.2 evaluation reports (Shen et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Long-term water clarity patterns of lakes across China using Landsat series imagery from 1985 to 2020

Chen

Liu

Xiao

et al. 2022

Preprint

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Abstract. Monitoring the water clarity of lakes is essential for the sustainable development of human society. However, existing water clarity assessments in China have mostly focused on lakes with areas > 1 km2, and the monitoring periods were mainly in the 21st century. In order to improve the understanding of spatiotemporal variations in lake clarity across China, based on the Google Earth Engine cloud platform, a 30 m long-term LAke Water Secchi Depth (SD) dataset (LAWSD30) of China (1985–2020) was first developed using Landsat series imagery and a robust water-color-parameter-based SD model. The LAWSD30 dataset exhibited a good performance compared with concurrent in situ SD datasets, with an R2 of 0.86 and a root-mean-square error of 0.225 m. Then, based on our LAWSD30 dataset, long-term spatiotemporal variations in SD for lakes > 0.01 km2 (N = 40,973) across China were evaluated. The results show that the SD of lakes with areas ≤ 1 km2 exhibited a significant downward trend in the period 1985–2020, but the decline rate began to slow down and stabilized after 2001. In addition, the SD of lakes with an area > 1 km2 showed a significant downward trend before 2001, and began to increase significantly afterwards. Moreover, in terms of the spatial patterns, the proportion of small lakes (area ≤ 1 km2) showing a decreasing SD trend was the largest in the Mongolian–Xinjiang Plateau Region (MXR) (about 30.0 %), and the smallest in the Eastern Plain Region (EPR) (2.6 %). In contrast, for lakes > 1 km2, this proportion was the highest in MXR (about 23.0 %), and the lowest in the Northeast Mountain Plain Region (NER) (16.1 %). The LAWSD30 dataset and the spatiotemporal patterns of lake water clarity in our research can provide effective guidance for the protection and management of lake environment in China.

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Section: Introductionmentioning

confidence: 99%

Long-term water clarity patterns of lakes across China using Landsat series imagery from 1985 to 2020

Chen

Liu

Zhang

et al. 2022

Hydrol. Earth Syst. Sci.

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Abstract. Monitoring the water clarity of lakes is essential for the sustainable development of human society. However, existing water clarity assessments in China have mostly focused on lakes with areas > 1 km2, and the monitoring periods were mainly in the 21st century. In order to improve the understanding of spatiotemporal variations in lake clarity across China, based on the Google Earth Engine cloud platform, a 30 m long-term LAke Water Secchi depth (SD) dataset (LAWSD30) of China (1985–2020) was first developed using Landsat series imagery and a robust water-color parameter-based SD model. The LAWSD30 dataset exhibited a good performance compared to concurrent in situ SD datasets, with an R2 of 0.86 and a root mean square error of 0.225 m. Then, based on our LAWSD30 dataset, long-term spatiotemporal variations in SD for lakes > 0.01 km2 (N = 40 973) across China were evaluated. The results show that the SD of lakes with areas ≤ 1 km2 exhibited a significant downward trend in the period of 1985–2020, but the decline rate began to slow down and stabilized after 2001. In addition, the SD of lakes with an area > 1 km2 showed a significant downward trend before 2001, and began to increase significantly afterwards. Moreover, in terms of the spatial patterns, the proportion of small lakes (area ≤ 1 km2) showing a decreasing SD trend was the largest in the Mongolian–Xinjiang Plateau Region (MXR) (about 30.0 %), and the smallest in the Eastern Plain Region (EPR) (2.6 %). In contrast, for lakes > 1 km2, this proportion was the highest in MXR (about 23.0 %), and the lowest in the Northeast Mountain Plain Region (NER) (16.1 %). The LAWSD30 dataset and the spatiotemporal patterns of lake water clarity in our research can provide effective guidance for the protection and management of lake environment in China.

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Cited by 87 publications

References 18 publications

Fish, benthic-macroinvertebrate, and stream-habitat data from two estuaries near Galveston Bay, Texas, 2000-2001

Fish, benthic-macroinvertebrate, and stream-habitat data from two estuaries near Galveston Bay, Texas, 2000-2001

Long-term water clarity patterns of lakes across China using Landsat series imagery from 1985 to 2020

Long-term water clarity patterns of lakes across China using Landsat series imagery from 1985 to 2020

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