Donyan Han

Dr. Donyan Han


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 October 2021 in Fishes
Verified
Journal Article
Open access
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WMWeizhao Meng
Weizhao Meng
Yihe GongYihe Gong
Yihe Gong
XWXuefang Wang
Xuefang Wang
Jianfeng TongJianfeng Tong
Jianfeng Tong
DHDonyan Han
Donyan Han
JWJianhui Wu
Jianhui Wu
An estuary region is a complex environment with a transition from fresh to brackish to salt water, and in which some environmental factors change dramatically over small ranges. Therefore, it is important to understand the impact of the selection of spatial scale on the prediction of the distribution of estuarine species. As the largest estuary in China, the Changjiang River estuary is the spawning ground, feeding ground, and migration channel for many species. Based on Coilia nasus, an important economic fish species in the Changjiang River estuary, this study uses the two-stage generalized additive model (GAM) to investigate the potential differences in the response of species’ spatial distribution when environmental factors are assessed at different spatial scales (1′ × 1′, 2′ × 2′, 3′ × 3′, 4′ × 4′, 5′ × 5′). The results showed the following: (1) according to the analysis of the variance inflation factor (VIF), the values of all environmental factors were less than three and we found no correlation among the environmental variables selected. (2) The first stage GAM retained six variables, including year, month, latitude (Lat), water depth (Depth, m), bottom salinity (Sal, mg/L), and chemical oxygen demand (COD, mg/L). The second stage GAM retained four variables, including Year, Lat, pH, and chlorophyll a (Chl-a, μg/L). (3) The mean value of the Chla for the 3′ × 3′ spatial scale was significantly lower than that of the other spatial scales, and the mean value of Sal for the 5′ × 5′ spatial scale was higher than that of the other spatial scales. (4) In terms of the spatial distribution of abundance, the distribution patterns of C. nasus predicted by all scales were not very similar, and the distribution patterns predicted by the 5′ × 5′ scale, in the autumn of 2012, were significantly different from those at other scales. Therefore, the selection of spatiotemporal scales may affect predictions of the spatial distributions of species. We suggest that potential spatiotemporal scale effects should be evaluated in future studies.

1 December 2023 in Ocean & Coastal Management
Verified
Journal Article
Closed access
DHDonyan Han
Donyan Han
RKRichard Kindong
Richard Kindong
WWWen Wang
Wen Wang
CGChunxia Gao
Chunxia Gao
WXWen Xu
Wen Xu
WLWeicheng Liu
Weicheng Liu

1 February 2021 in Regional Studies in Marine Science
Verified
Journal Article
Closed access
DHDonyan Han
Donyan Han
STSiquan Tian
Siquan Tian
YZYuying Zhang
Yuying Zhang
YCYong Chen
Yong Chen

21 August 2023 in Marine Environmental Research
Verified
Journal Article
Closed access
GCGan Chen
Gan Chen
WXWen Xu
Wen Xu
DHDonyan Han
Donyan Han
CWCong-cong Wang
Cong-cong Wang
SYShen Ye
Shen Ye

30 December 2020 in Journal of Applied Ichthyology
Verified
Journal Article
Closed access
PDF file
DHDonyan Han
Donyan Han
Qiuyun MaQiuyun Ma
Qiuyun Ma
KRKindong Richard
Kindong Richard
CGChunxia Gao
Chunxia Gao
The present study provides the length‐weight relationships (LWRs) for 10 marine fish species collected from the coastal waters of the East China Sea by bottom trawl surveys. The open width of the sampling net was 40 m and the mesh size of the codend was 20 mm. Specimens were collected from November 2015 to November 2019 at seasonal intervals. The measurement accuracy of weight and length were 0.1 grams and 0.1 centimeters, respectively. This study provides new information of LWRs for nine species which have not yet been reported in FishBase. Also, this study updates the information of maximum length for two species.

10 April 2024 in Regional Studies in Marine Science
Verified
Journal Article
Closed access
WXWen Xu
Wen Xu
GCGan Chen
Gan Chen
WWWen Wang
Wen Wang
CGChunxia Gao
Chunxia Gao
WLWei Liu
Wei Liu
DHDonyan Han
Donyan Han