The potential suitability habitat prediction of <i>Acaudina molpadioides</i> based on Maxent model

He Yanlong; Liu Shouhai; Yuan Yiming; Jiang Keji; Wang Teng; Qing Yutao; Ren Yuanhao

doi:10.12284/hyxb2021042

Volume 43 Issue 4

Apr. 2021

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He Yanlong，Liu Shouhai，Yuan Yiming, et al. The potential suitability habitat prediction of Acaudina molpadioides based on Maxent model[J]. Haiyang Xuebao，2021, 43(4)：65–74 doi: 10.12284/hyxb2021042

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He Yanlong，Liu Shouhai，Yuan Yiming, et al. The potential suitability habitat prediction of Acaudina molpadioides based on Maxent model[J]. Haiyang Xuebao，2021, 43(4)：65–74 doi: 10.12284/hyxb2021042

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The potential suitability habitat prediction of Acaudina molpadioides based on Maxent model

doi: 10.12284/hyxb2021042

He Yanlong^{1, 2
,},
Liu Shouhai^{1, 2},
Yuan Yiming^{1, 2},
Jiang Keji³,
Wang Teng^{1, 2},
Qing Yutao^{1, 2},
Ren Yuanhao³

1.
East China Sea Environmental Monitoring Center, State Oceanic Administration, Shanghai 201206, China
2.
Key Laboratory of Ecological Monitoring and Restoration Technology, Ministry of Natural Resources, Shanghai 201206, China
3.
East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 201206, China

Received Date: 2020-07-06
Rev Recd Date: 2020-11-10

Available Online: 2021-03-02

Publish Date: 2021-04-01

Abstract

Abstract

The prediction of habitat suitability has important guiding significance for species protection, alien and pest control. In this study, Maxent model was used to predict the suitability habitat of A. molpadioides in Qingchuan Bay, Ningde, Fujian Province. The results of the model reached an excellent level. Combined with ArcGIS software, the suitable habitat of the A. molpadioides was divided into five grades. The results showed that: 1.3% of the total study area was highly suitable, and the area was 25.6 km². Water environment, sedimentary environment and ecological community all had an impact on the distribution of the A. molpadioides. Water depth, salinity, inorganic nitrogen and active phosphate were the main factors of water environment. The cumulative contribution rate to the prediction of the suitable habitat of A. molpadioides was 39%, especially, the water depth was the most important factor that restricts the distribution of the A. molpadioides, the prediction contribution rate was 27%; sediment grain size, sulfide content and total organic carbon in surface sediment were the main factors of sedimentary environment, and the cumulative contribution rate was 40.4%. The second important factor was the volume percentage of substrate of sediment clay, and the contribution rate was about 18%. The density and biomass of zooplankton and the number of benthos all had a certain impact on the distribution of A. molpadioides, the cumulative contribution rate was 16.8%, among which the contribution rate of zooplankton density to other biological factors was the most important, about 8%. On the whole, the most ideal distribution area of A. molpadioides is the shallow water muddy bottom habitat, where the water depth is less than 5 m, the salinity is relatively low, the organic carbon content of sediment is relatively high, and the bottom material is mainly clay silt.
- Maxent model,
- Acaudina molpadioides,
- habitat,
- potential distribution prediction

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References(39)

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