South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.
South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.
Sci Total Environ. 2023 Jan 20;857(Pt 1):159334. doi: 10.1016/j.scitotenv.2022.159334. Epub 2022 Oct 8.
Efficient water transport is crucial for plant growth and survival. Plant hydraulic conductivity varies between functional groups and biomes and is strongly influenced by changing environmental conditions. However, correlations of conductivity-related hydraulic traits with climatic variables are not fully understood, preventing clarification of plant form and function under climate change scenarios. By compiling leaf-specific hydraulic conductivity (K), sapwood-specific hydraulic conductivity (K), and Huber values (H, sapwood area to leaf area ratio) along with climatic variables including mean annual temperature (MAT), mean annual precipitation (MAP) and aridity index (AI) for 428 species across a wide range of plant functional types (PFTs) and biomes at a global scale, we found greater variability of K within PFTs and biomes than across PFTs and biomes. Interaction effects between PFTs and biomes on K and K were found. The interaction between MAT and MAP played a significant role in K and H (t = 3.89, P < 0.001 for K and t = -5.77, P < 0.001 for H). With increasing AI, K increased and H decreased. K was not influenced by the investigated climatic variables. Our study provides a better understanding of the dynamics of hydraulic structure and function across functional groups and biomes and of the abiotic drivers of their large-scale variations.
高效的水分运输对植物的生长和生存至关重要。植物水力传导率因功能群和生物群落而异,并受环境条件变化的强烈影响。然而,与传导率相关的水力性状与气候变量之间的相关性尚未完全理解,这阻碍了在气候变化情景下阐明植物形态和功能。通过编译 428 种跨越广泛植物功能类型(PFT)和生物群落的物种的叶片特定水力传导率(K)、边材特定水力传导率(K)和胡伯值(H,边材面积与叶面积比)以及包括年平均温度(MAT)、年平均降水量(MAP)和干旱指数(AI)在内的气候变量,我们发现 PFT 和生物群落内部的 K 变异性大于 PFT 和生物群落之间的变异性。还发现了 PFT 和生物群落对 K 和 K 的相互作用效应。MAT 和 MAP 之间的相互作用对 K 和 H 有显著影响(对于 K,t = 3.89,P < 0.001;对于 H,t = -5.77,P < 0.001)。随着 AI 的增加,K 增加,H 降低。K 不受所研究气候变量的影响。我们的研究提供了对功能群和生物群落之间水力结构和功能动态以及它们大规模变化的非生物驱动因素的更好理解。