对于海洋鱼类物种来说,体型和食量水平随着度的增加而增加,而在深海和南极洲则下降
Han-Yang Lin1, Mark John Costello2,3
1Institute of Marine Science, University of Auckland, Auckland, New Zealand.
PeerJ
|September 13, 2023
概括
海洋鱼体积和热量水平在温暖的水域下降,但在更高的度上增加. 温度和氧气是全球海洋鱼类分布和特性的关键驱动因素.
科学领域:
- 海洋生物学 海洋生物学
- 生态生态学 生态生态学
- 生物地理学是生物地理学.
背景情况:
- 海洋物种的功能特征受到进化历史和当地环境因素的影响.
- 温度大小规则 (TSR),-氧气限制理论 (GOLT) 和温度约束假设 (TCH) 试图解释身体大小和热量水平变化.
- 全球范围的功能性特征变异的量化与度和深度在海洋种类之间缺乏.
研究的目的:
- 在全球范围内量化海洋鱼类的营养水平和最大体型的度和深度相关梯度.
- 研究温度,盐度和溶解氧气等环境因素对这些功能特征的影响.
- 在海洋鱼类中测试TSR,GOLT和TCH假设的支持.
主要方法:
- 分析了5,619种海洋鱼类的建模范围,按体型 (<30厘米,30-100厘米,>100厘米) 和热量级 (<2.20,2.20-2.80,2.81-3.70,>3.70) 分类.
- 在四个深度区域 (全水柱,0-200m,201-1000m,1001-6000m) 中,数据被解析为5°度间隔.
- 功能特征与环境变量 (盐度,海面温度,海底温度,溶解氧气) 之间的相关性分析.
主要成果:
- 海洋鱼的平均体型和热量水平在温暖的度处越来越小,在寒冷的度处越来越大 (不包括南极洲).
- 热带地区有较低热带水平 (≤2.80) 的鱼类种类普遍存在,较冷地区则不存在.
- 平均最大体积随着深度的增加而减少,与减少的溶解氧水平相关.
结论:
- 温度和氧气是影响海洋鱼类生物地理和功能特征的主要全球驱动因素.
- 这些发现支持温度大小规则 (TSR),-氧限制理论 (GOLT) 和温度约束假设 (TCH).
- 极地地区的环境异质性可能解释了北极和南极之间的身体尺寸和热量水平的差异.
相关概念视频
Osmoregulation in Fishes
49.8K
When cells are placed in a hypotonic (low-salt) fluid, they can swell and burst. Meanwhile, cells in a hypertonic solution—with a higher salt concentration—can shrivel and die. How do fish cells avoid these gruesome fates in hypotonic freshwater or hypertonic seawater environments?
49.8K
Trophic Levels
31.0K
All organisms in an ecosystem occupy a trophic level in the food chain. The lowest level consists of primary producers, which synthesize their food from either solar or chemical energy. Each subsequent level obtains energy from the levels below. Detritivores can occupy any of the levels above primary producers.
31.0K
Trophic Efficiency
20.7K
Trophic level transfer efficiency (TLTE) is a measure of the total energy transfer from one trophic level to the next. Due to extensive energy loss as metabolic heat, an average of only 10% of the original energy obtained is passed on to the next level. This pattern of energy loss severely limits the possible number of trophic levels in a food chain.
20.7K
Testing a Claim about Mean: Known Population SD
2.8K
A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
2.8K


