Novel high‐resolution data to unravel distribution, mechanisms and anthropogenic threats to freshwater macrophytes worldwide
- 8 February 2026
- journal article
- Published by Wiley in Journal of Ecology
- Vol. 114 (2)
Abstract
Freshwater macrophytes are fundamental to the health of inland waters, portraying unique eco‐physiological adaptive strategies that make them distinctive from terrestrial vascular plants. We integrated a novel, high‐resolution global distributional dataset of 3382 freshwater macrophyte species (representing 97% of all known freshwater macrophytes worldwide), encompassing 486,252 occurrence records across more than 12,700 1° grid cells to investigate species richness patterns and their underlying mechanisms across the world. Freshwater macrophyte richness shows a hump‐shaped pattern globally, peaking at approximately 40° N in temperate regions and at 20° S in tropical to subtropical latitudinal bands. Widespread species contributed the most to the northern peak while other species contributed to the southern peak. Coastlines and adjacent lowland regions are the macrophyte diversity hotspot globally. Contemporary temperature emerged as the dominant environmental gradient structuring global macrophyte richness across and within major continents, especially for widespread species, often displaying a quadratic relationship. However, our range‐size‐dependent analysis revealed a critical divergence: geometric constraints imposed by the mid‐domain effect are the pre‐eminent spatial drivers for intermediate and restricted‐range species. Model explanatory power varied significantly across continents and decreased sharply with species range size. The overall positive correlation between macrophyte richness and the Human Influence Index is driven entirely by widespread generalist species. This relationship vanishes for restricted and highly restricted species, demonstrating that macrophyte endemism centres are uniquely vulnerable. Synthesis . The high‐resolution, range‐size‐dependent analysis resolved critical ambiguities in macrophyte macroecology. We establish a robust framework for understanding that the drivers of freshwater plant diversity are strongly hierarchical and scale‐dependent, thereby laying the foundation for urgent spatially targeted conservation efforts focused on protecting vulnerable centres/regions of macrophyte endemism.Keywords
Funding Information
- Fundamental Research Funds for the Central Universities (SCU2024D003)
- Natural Science Foundation of Sichuan Province (2023NSFSC1280)
- National Key Research and Development Program of China Stem Cell and Translational Research (2023YFF1304502)
- Kvantum-instituutti, Oulun Yliopisto
- Chinese Academy of Sciences (E429S10101)
- National Natural Science Foundation of China (31770566)
This publication has 42 references indexed in Scilit:
- Environmental determinants of aquatic plant diversity differ between growth forms and range sizesEcological Indicators, 2023
- Latitudinal gradients of α- and β-diversity of aquatic plant communities across eastern China: Helophytes and hydrophytes show inconsistent patternsEcological Indicators, 2022
- Species‐range‐size distributions: Integrating the effects of speciation, transformation, and extinctionEcology and Evolution, 2022
- Macroecology of macrophytes in the freshwater realm: Patterns, mechanisms and implicationsAquatic Botany, 2021
- Scientists’ Warning to Humanity: Rapid degradation of the world’s large lakesJournal of Great Lakes Research, 2020
- World distribution, diversity and endemism of aquatic macrophytesAquatic Botany, 2019
- The freshwater biome gradient framework: predicting macroscale properties based on latitude, altitude, and precipitationEcosphere, 2019
- Global loss of aquatic vegetation in lakesEarth-Science Reviews, 2017
- Metacommunity structuring in stream networks: roles of dispersal mode, distance type, and regional environmental contextEcology and Evolution, 2013
- Environmental and spatial correlates of community composition, richness and status of boreal lake macrophytesEcological Indicators, 2013