生物和非生物因子对秋季海州湾长蛇鲻栖息地适宜性的影响

朱承之; 张云雷; 赛可; 韦雯钰; 谢姝妤; 夏铭璟; 任一平; 薛莹

doi:10.3969/j.issn.0253-4193.2020.06.006

生物和非生物因子对秋季海州湾长蛇鲻栖息地适宜性的影响

doi: 10.3969/j.issn.0253-4193.2020.06.006

朱承之^1,,
张云雷^{1, 3},
赛可¹,
韦雯钰¹,
谢姝妤¹,
夏铭璟¹,
任一平^{1, 2, 3},
薛莹^{1, 3, ,}

1.
中国海洋大学水产学院，山东青岛 266003
2.
青岛海洋科学与技术试点国家实验室海洋渔业科学与食物产出过程功能实验室，山东青岛 266237
3.
中国海洋大学海州湾渔业生态系统教育部野外科学观测研究站，山东青岛 266003

基金项目: 山东省支持青岛海洋科学与技术试点国家实验室重大科技专项（2018SDKJ0501-2）；国家自然科学基金项目（31772852，31802301）。

详细信息

作者简介:
朱承之（1998-），男，江西省上饶市人，主要研究方向为海洋渔业科学与技术。E-mail：1261903042@qq.com

通讯作者:
薛莹，教授，主要从事食物网营养动力学、鱼类栖息地和空间分布等领域的研究。E-mail：xueying@ouc.edu.cn

中图分类号: P714⁺.5；S931.4
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- 被引次数: 0
出版历程
- 收稿日期: 2019-10-19
- 修回日期: 2019-12-17
- 网络出版日期: 2020-11-18
- 刊出日期: 2020-06-25

Impacts of biotic and abiotic factors on the habitat suitability of Saurida elongata during autumn in the Haizhou Bay, China

Zhu Chengzhi^1
,,
Zhang Yunlei^{1, 3},
Sai Ke¹,
Wei Wenyu¹,
Xie Shuyu¹,
Xia Mingjing¹,
Ren Yiping^{1, 2, 3},
Xue Ying^{1, 3
, ,}

1.
Fisheries College, Ocean University of China, Qingdao 266003, China
2.
Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
3.
Field Observation and Research Station of Haizhou Bay Fishery Ecosystem of Ministry of Education, Ocean University of China, Qingdao 266003, China

摘要

摘要: 根据2011年和2013−2018年秋季在海州湾及邻近海域进行的底拖网调查数据，结合同步采集的底层水温、底层盐度、水深、资源密度、饵料生物等生物和非生物因子数据，开展长蛇鲻(Saurida elongata)栖息地适宜性的相关研究。利用提升回归树(Boosted Regression Tree, BRT)模型确定各环境因子的权重，分别采用算术平均法和几何平均法建立栖息地适宜性指数(Habitat Suitability Index, HSI)模型，并通过交叉验证确定最优模型。结果表明：海州湾长蛇鲻在秋季最适宜栖息的底层水温范围为17.5～18℃，最适底层盐度范围为31.3～32.0，最适水深范围为24～37 m；选择其3种主要饵料生物作为生物因子，即枪乌贼(Loligo spp.)、戴氏赤虾(Metapenaeopsis dalei)和六丝钝尾鰕虎鱼(Amblychaeturichthys hexanema)，与底层水温、底层盐度和水深共同作为影响因子建立HSI模型。结果显示，对长蛇鲻空间分布总偏差贡献率最高的是饵料因子，其次是水深和底层水温。通过交叉验证发现，运用算术平均算法，且赋予权重的HSI模型具有较低的赤池信息准则值(Akaike Information Criterion, AIC)。研究发现，海州湾秋季长蛇鲻的最适栖息地(HSI≥0.7)主要分布在34.5°～36°N，119°～121°E之间，其中35°～36°N海域的最适栖息地分布范围大，而且从近岸至远海，HSI指数有增加的趋势。
- 海州湾 /
- 长蛇鲻 /
- 栖息地适宜性指数 /
- 生物因子 /
- 非生物因子 /
- 权重
Abstract: According to the demersal trawling survey data in the Haizhou Bay and its adjacent waters in autumn of 2011 and 2013−2018, we studied the habitat suitability of Saurida elongata, using biotic and abiotic factors data, such as bottom water temperature, bottom salinity, water depth, resource density, bait biology, collected synchronously. The weight of each environmental factor was determined by using the model of boost regression tree (BRT), and the habitat suitability index (HSI) model was established by using arithmetic mean method and geometry mean method respectively, and the optimal model was determined by cross validation. The results show that the most suitable bottom water temperature range for the Saurida elongata to inhabit in fall was 17.5−18℃, the most suitable bottom salinity range was 31.3−32, and the most suitable water depth range was 24−37 m. Three main bait organisms were selected as biological factors, namely, Loligo spp., Metapenaeopsis dalei and Amblychaeturichthys hexanema. The HSI model was established with the bottom water temperature, bottom salinity and water depth as the influencing factors. The results show that the feed factors contributed most significantly to the total deviation of spatial distribution, followed by the water depth and bottom water temperature. Through cross validation, it is found that the weighted HSI model with arithmetic mean method algorithm has lower Akaike Information Criterion (AIC). The results show that the most suitable habitat (HSI≥0.7) of Saurida elongata in autumn was 34.5°−36°N, 119°−121°E, among which 35°−36°N was the most suitable habitat, and the HSI increased from near shore to sea.
- Haizhou Bay /
- Saurida elongata /
- habitat suitability index (HSI) /
- environmental variables /
- biological variables /
- weights

HTML全文

图 1 海州湾调查区域

Fig. 1 Sampling areas in the Haizhou Bay

下载: 全尺寸图片幻灯片

图 2 海州湾长蛇鲻对底层水温、底层盐度、水深和饵料因子的适宜性指数曲线

Fig. 2 Suitability index curves of bottom temperature, bottom salinity, water depth and prey factors for Saurida elongate in the Haizhou Bay

下载: 全尺寸图片幻灯片

图 3 各个非生物因子和生物因子对海州湾长蛇鲻提升回归树模型总偏差的相对贡献

Fig. 3 Relative contribution of different abiotic and biotic factors to the total deviation explained by the boosted regression tree models of Saurida elongata in Haizhou Bay

下载: 全尺寸图片幻灯片

图 4 2011年和2013−2018年秋季海州湾长蛇鲻的HSI分布

Fig. 4 Distribution of HSI for Saurida elongata during autumn of 2011 and 2013−2018 in the Haizhou Bay

下载: 全尺寸图片幻灯片

表 1 基于AMM算法和GMM算法的海州湾长蛇鲻HSI模型的交叉验证

Tab. 1 Cross-validation of HSI model of the Haizhou Bay Saurida elongata based on AMM and GMM algorithm in mean confidence interval

因子组合	AMM		GMM
因子组合	R²	AIC	R²	AIC
A	0.607 68	2.351 35	0.584 29	3.536 79
B	0.334 34	15.573 71	0.316 75	16.161 72
C	0.158 37	19.380 21	0.059 77	22.000 57
D	0.607 10	2.596 00	0.088 82	22.215 53
E	0.879 06	−24.771 30	0.751 92	−14.411 00

下载: 导出CSV

表 2 AMM模型和GMM模型预测性能的比较

Tab. 2 Comparison of prediction performance of AMM and GMM

AMM		GMM
R²	AIC	R²	AIC
0.879 06	−24.771 3	0.751 92	−14.411
0.719 36	−43.510 4	0.180 54	−40.540 6
0.956 35	−5.062 3	0.951 2	15.563 29

下载: 导出CSV

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