Distribution of Corbicula fluminea (Muller, 1774) in the invaded range: a geographic approach with notes on species traits variability

Distribution of Corbicula fluminea (Muller, 1774) in the invaded range: a geographic approach with notes on species traits variability
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DOI:
10.1007/s10530-015-0862-y
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发表时间:
2015-07-01
影响因子:
2.9
通讯作者:
Pardal, Miguel Angelo
Pardal, Miguel Angelo
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Crespo, Daniel;Dolbeth, Marina;Pardal, Miguel Angelo

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河蚬由于其广泛的分布和生态经济影响,被认为是水生生态系统中最重要的外来入侵物种之一。已知该物种会对本地双壳类产生负面影响,也会对生物多样性和生态系统功能产生严重影响。通过详尽的书目调查并借助地理信息系统工具,本研究追踪了物种从其原产地的扩散,包括对重要物理和环境障碍的描述。进行了额外的分析,以检查纬度/温度梯度对重要性状(如寿命,最大和平均体长,在第一年年底的增长)的可能影响。海拔和冬季最低温度似乎延缓了全球范围内的入侵,但该物种在地球仪上的传播似乎是不可避免的。纬度和夏季温度与生长和寿命有关。总体而言,本次审查中收集的信息可能有助于预测国家创新系统未来的分配模式,并预测可能实施的有效管理措施。此外,它可能是预测人口对日益变化的环境的反应的一个宝贵工具。
Corbicula fluminea is considered one of the most important non-native invasive species (NIS) in aquatic systems mainly due to its widespread distribution and ecological and economic impacts. This species is known to negatively affect native bivalves, also with severe effects on biodiversity and ecosystem functioning. Throughout an exhaustive bibliographic survey and with the aid of Geographic Information Systems tools, this study tracks the species dispersion from its native range, including the description of important physical and environmental barriers. Additional analyses were conducted to examine possible influences of latitudinal/temperature gradients on important traits (e.g. life span, maximum and mean body length, growth at the end of first year). Altitude and winter minimum temperature appear to be delaying the invasion worldwide, but it seems inevitable that the species will spread across the globe. Latitude and summer temperature show a relationship with growth and life span. Overall, the information gathered in this review may be relevant to forecast future distribution patterns of this NIS, and to anticipate the possible implementation of effective management measures. Moreover, it may constitute a valuable tool in the prediction of population responses to an increasingly changing environment.