A dataset on the morphological, life-history and ecological traits of mammals in China

Species traits reflect the species’ ecological function and fitness. The trait databases play a vital role in studying biodiversity maintenance and loss, species evolution and adaptation, ecological interactions and processes, ecosystem functions, and species responses to both climate change and human pressures. China is one of the countries with the richest mammal diversity in the world, so far, there is no comprehensive resource of morphological, life history, ecological and geographical distribution data of the mammals in China. We compiled 24 traits data of 754 Chinese mammals (including recently regional extinct species and those species with disputed taxonomy and distribution) between 2008 and 2021 through systematic literature review and dataset integration, referred to mammalian monographs and field guides. The main sources used in completing the dataset were: the life history traits were retrieved from trait database (COMBINE: COalesced Mammal dataBase of INtrinsic and Extrinsic traits, Soria et al, 2021); Smith and Xie (2009) A Guide to the Mammals of China and Pan et al (2007) A Field Guide to the Mammals of China, and the zoogeographical regionalization and distribution type were searched in Zhang (2011) China Animal Geography, and species distribution in provinces and threatened category were cited from Jiang et al (2021) China’s Red list of Biodiversity: Vertebrates, Volume I, Mammals and Liu et al (2019; 2020) Handbook of Mammals of China. In addition, Handbook of the Mammals of the World (Wilson & Mittermeier, 2009; 2011; 2012; 2018; 2019; Mittermeier & Wilson, 2014; Wilson et al, 2016), Mammal Diversity Database (American Society of Mammalogists, ASM, 2021) and COMBINE (COalesced Mammal dataBase of INtrinsic and Extrinsic traits, Soria et al, 2021) were taken as supplementary data source. Further, peer–reviewed scientific publications from 1990 to 2021 were searched in CNKI, Google Scholar to supplementary traits data. Our dataset included body weight, brain size, head body length, tail length, forearm length (Chiroptera), hind foot length, ear length, sexual maturity time, gestation length, litter size, litters per year, generation length, diet, activity pattern, habitat type, habitat breadth, realm, biome, endemic species, elevational range, distribution type, zoogeographical regionalization, geographical distribution. Among these twenty-four traits, the data integrity ranged from 30.11% to 100.00%. The traits data were incomplete to som