Modelling the distribution of the pan-continental invasive fish Pseudorasbora parva based on landscape features in the northern Kyushu Island, Japan
Modelling the distribution of the pan-continental invasive fish Pseudorasbora parva based on landscape features in the northern Kyushu Island, Japan
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基于日本九州岛北部景观特征的泛大陆入侵鱼类 Pseudorasbora parva 分布模型
DOI：
10.1002/aqc.2336
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Mouton AM
中科院分区：
文献类型：
--
作者：
Fukuda S;De Baets B;Onikura N;Nakajima J;Mukai T;Mouton AM
顶嘴鲟（Pseudorasbora parva）是一种高度入侵的淡水鱼，已从东亚（本地范围）扩展到中亚、欧洲和北非（引进范围）。虽然p .的发生与p。parva及其栖息地条件尚不清楚，影响其分布的因素，特别是在其原生地的信息，对于预测其扩张是重要的。本研究提供了p。在日本九州岛北部的河流和农业运河中，这种鱼是本地的。应用模糊生境偏好模型（fhpm）和随机森林（RF）将景观特征与植物的分布联系起来。本文基于九州岛西北部（NW）和东北部（NE）两个不同生态区的野外观测数据。结果表明，白杨有明显的生境偏好。parvfor地区海拔较低，坡度较缓，河流与河流之间的联系较少，是整个生态区的一般景观特征。对于河渠连接数量较多、水渠网络指数较高、水稻田面积较大、住宅区面积较大、农田较多、森林和果园较少的地点，人们的偏好较弱。其中，高程、坡度、渠网指数、水田面积、森林和果园的存在等5个景观特征是预测小蠊分布最重要的特征。研究结果表明，小蠊的一般和特定生境偏好信息在生物地理学和入侵生态学中可能具有重要意义。为了更好地了解入侵生态和设计改进的管理和控制策略，需要进一步的研究来积累信息。p .parva. copyright©2013 John Wiley & Sons, Ltd。
Topmouth gudgeon (Pseudorasbora parva) is widely known as a highly invasive freshwater fish and has expanded from East Asia (native range) to Central Asia, Europe and Northern Africa (introduced range). Although the relationship between the occurrence ofP.parvaand its habitat conditions remains unclear, information on factors affecting its distribution, especially in its native range, is important for predicting its expansion.This study provides primary information on the distribution ofP.parvain rivers and agricultural canals in northern Kyushu Island, Japan, where the fish is native. Fuzzy habitat preference models (FHPMs) and Random Forests (RF) were applied to link landscape features to the distribution ofP.parvabased on field observation data collected from two distinct ecoregions, the north‐western (NW) and north‐eastern (NE) parts of Kyushu Island.The results show a clear habitat preference ofP.parvafor areas with a lower elevation, a gentler slope and a smaller number of river‐to‐river connections as general landscape features across the ecoregions. Weak preferences are observed for sites with a higher number of river‐to‐canal connections, a higher canal network index, a larger area of paddy fields, a larger residential area, more crop fields and fewer forests and orchards. Of these site‐specific features, five landscape features – elevation, slope, canal network index, area of paddy fields, and presence of forests and orchards – are identified as the most important features for predicting the distribution ofP.parva.The general and specific habitat preference information, as demonstrated in this study, may be important in biogeography and invasion ecology. Further research is needed to accumulate information for a better understanding of the invasion ecology and the design of improved management and control strategies againstP.parva.Copyright © 2013 John Wiley & Sons, Ltd.