了解海洋生物多样性模式和驱动因素:伊卡洛斯的陨落

Marine Ecology Pub Date : 2024-05-30 DOI:10.1111/maec.12814
Roberto Danovaro
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引用次数: 0

摘要

生物多样性模式是我们了解生命分布、生态系统功能和保护的基础。在这一概念分析中,对不同纬度、经度和深度的海洋生物多样性模式和驱动因素的现有知识调查表明,没有一种假设的模式代表了一种规则。纬度梯度或水深多样性模式的范式在不同的生物地理区域或生物多样性组成部分、生物群落或生物体大小之间各不相同。假设的纵向和离岸成本模式也是如此。食物供应和温度影响所有生命形式,似乎是影响海洋生物多样性的最相关因素。然而,这些驱动因素与许多其他变量(如空间异质性、生态和物理过程)相互作用,形成了复杂的综合影响因素,从而限制了任何预测。气候变化对全球初级生产力和气温上升的影响,可能是未来海洋生物多样性的主要影响因素之一。了解生物多样性强调了在未来十年完成海洋生物普查的必要性。这项工作必须使用最先进的技术,开发整体方法,促进形态分类学和基因分类学的结合,以探索所有大小等级、大空间尺度和不同生境类型(尤其是开阔洋和深海生态系统)的生物多样性。如果没有这些基础知识,再加上无法确定影响观察到的模式的驱动因素,我们将无法填补这些知识空白,而这些知识对于制定全球范围内适当的海洋生物多样性保护措施至关重要。
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Understanding marine biodiversity patterns and drivers: The fall of Icarus
Biodiversity patterns are fundamental in our understanding of the distribution of life, ecosystem function, and conservation. In this concept analysis, A survey of the existing knowledge on marine biodiversity patterns and drivers across latitudes, longitudes, and depths indicates that none of the postulated patterns represent a rule. The paradigm of latitudinal gradients or bathymetric patterns of diversity vary across biogeographic regions or biodiversity components, kingdoms, or body sizes. The same holds true for the hypothesized longitudinal and cost‐offshore patterns. Food availability and temperature influence all life forms and appear to be the most relevant factors shaping marine biodiversity. However, these drivers interact with many other variables such as spatial heterogeneity, ecological and physical processes creating a complex mosaic of shaping factors that limits any prediction. Climate change, with its implications for global primary productivity and temperature rise, can represent one of the major influences on future marine biodiversity. Understanding biodiversity emphasizes the need to complete the census of marine life in the next decade. The effort must use the most advanced technologies, develop holistic approaches and promote the integration of morphological‐ and genetic‐based taxonomy to explore the biodiversity of organisms of all size classes, at large spatial scales and across habitat types, particularly open ocean and deep‐sea ecosystems. Without this basic knowledge, coupled with identification of the drivers shaping the observed patterns, we will be unable to fill these knowledge gaps that are crucial for developing adequate conservation measures of marine biodiversity at global scale.
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