Testate amoebae (TA) are a common and diverse group of protists and are especially abundant in peatlands. The structure of peatland TA communities is well correlated to surface moisture and water table depth (WTD). For that reason, TA are widely used as proxy indicators in ecological and palaeoecological studies. Peatlands are abundant across Asia, but the diversity and ecology of the TA that inhabit these systems are poorly documented. It is therefore unclear whether TA can be used as palaeohydrological indicators in the manner in which they commonly are in Europe and North-America. There is particular uncertainty as to the efficacy of this approach in the lower latitudes. We compiled existing and new data on testate amoebae from 1124 Sphagnum-dominated samples from 42 individual peatlands covering broad latitudinal (25°–66° N) and longitudinal (68°–129° E) ranges. Using a consensus taxonomic framework, we built a checklist of TA and developed TA-based hydrological transfer functions for Asian peatlands. The results showed that three models, weighted averaging (WA), weighted average partial least squares (WA-PLS), and maximum likelihood (ML), predicted similar WTD values for full samples, while the modern analogue technique (MAT) produced the strongest (R²_boot = 0.58) relationship between observed and estimated water-table depths (WTDs). Removing outlier samples improved the R² values of observed vs. estimated WTDs, with ML then demonstrating the strongest predictive power (R²_boot = 0.68, RMSEP_boot = 8.98 cm). The predictive capability of the developed WTD transfer function is comparable to equivalent models for Europe and North America and thus can be used for palaeohydrological reconstructions for boreal to subtropical peatlands in Asia.

遗嘱性变形虫（TA）是一种常见且种类繁多的原生生物，在泥炭地中尤为丰富。泥炭地TA群落的结构与地表水分和地下水位深度（WTD）密切相关。因此，TA被广泛用作生态学和古生态学研究的替代指标。整个亚洲的泥炭地都很丰富，但是记录在这些系统中的TA的多样性和生态状况却鲜有记载。因此，尚不清楚TA是否可以以它们在欧洲和北美普遍使用的方式用作古水文学指标。在低纬度地区，这种方法的有效性存在特殊的不确定性。我们收集了来自1124泥炭藓的睾丸变形虫的现有数据和新数据来自42个单独的泥炭地的样本占主导地位，涵盖宽纬度（25°–66°N）和纵向（68°–129°E）范围。使用共识分类学框架，我们建立了TA清单，并为亚洲泥炭地开发了基于TA的水文传递函数。结果表明，加权平均（WA），加权平均偏最小二乘（WA-PLS）和最大似然（ML）这三种模型预测的全样品具有相似的WTD值，而现代模拟技术（MAT）产生的最强模型（R ² _boot  = 0.58）观测到的和估计的地下水位深度（WTD）之间的关系。去除异常值样本可以改善观察到的WTD与估计的WTD的R ²值，而ML则显示出最强的预测能力（R ²_启动 = 0.68，RMSEP_靴 = 8.98厘米）。已开发的WTD传递函数的预测能力可与欧洲和北美的等效模型相媲美，因此可用于亚洲从北至亚热带泥炭地的古水文重建。