| Literature DB >> 36039288 |
Baoguo Li1, He Zhang1, Kang Huang1, Gang He1, Songtao Guo1, Rong Hou1, Pei Zhang1, Haitao Wang1, Hao Pan1, Hengguang Fu1, Xiaoying Wu1, Kexin Jiang1, Ruliang Pan1,2,3.
Abstract
Evolutionary and historical development and current profiles are essential to generating a tangible conservation strategy. It is also critical to distinguish the regions with vigorous potential growth from those meeting evolutionary development bottlenecks and those whose development has been severely devastated. We used two sizeable national data repositories of terrestrial fauna and flora of China to approach the issues. The results indicate that the Southwest and Coastal regions have the most significant terrestrial faunal-floral biodiversity (TFFB). Thus, they should be prioritized in conservation for great potential promotions. Although there has been remarkable evolutionary development, the Central region has been severely devastated. A solution is to uphold a balanced association between social-economic development and TFFB sustainability. As for the Northeast and the western Northwest, there is no need to invest heavily in conservation measures. This study sheds light on exploring more practical conservation strategies regionally, nationally, and globally to achieve pragmatic goals.Entities:
Keywords: Classification Description; Ecology; Environmental science; Evolutionary ecology
Year: 2022 PMID: 36039288 PMCID: PMC9418850 DOI: 10.1016/j.isci.2022.104897
Source DB: PubMed Journal: iScience ISSN: 2589-0042
Figure 1China’s geographic and environmental diversity profiles and regionalization
NW:Northwest (Inner Mongolia, Ningxia, Gansu, Shaanxi, Qinghai, Xinjiang, and Tibet); SW:Southwest (Sichuan,Chongqing. Yunnan, Guizhou, and Guangxi); CE:Central (Shanxi, Henan, Anhui, Hubei, Hunan, and Jiangxi); CO:Costal (Hebei, Shandong. Jiangsu, Zhejiang. Fujian, Guangdong, Hainan, and the three metropolis cities of Beijing, Tianjin, and Shanghai); NE:Northeast (Heilongjiang. Jilin, and Liaoning). For more details about regional differences in geography, ecology, and habitats, please see (Huang et al., 2021).
Pearson correlation coefficients (r) of RSDIs among faunal and floral groups
| Class | Gastropoda | Arachnida | Insecta | Amphibia | Reptilia | Aves | Mammalia |
|---|---|---|---|---|---|---|---|
| Arachnida | |||||||
| Insecta | |||||||
| Amphibia | |||||||
| Reptilia | |||||||
| Aves | |||||||
| Mammalia | 0.57∗∗ | 0.66∗∗ | 0.61∗∗ | 0.62∗∗ | 0.68∗∗ | 0.60∗∗ | |
| Vascular plant | 0.71∗∗ | 0.80∗∗ | 0.76∗∗ | 0.75∗∗ | 0.77∗∗ | 0.77∗∗ | |
| Nonvascular plant | 0.69∗∗ | 0.78∗∗ | 0.75∗∗ | 0.71∗∗ | 0.75∗∗ | 0.77∗∗ | 0.78∗∗ |
Note: ∗∗ indicates p< 0.01; the coefficients with a value greater than 0.90 are bolded.
Figure 2Regional RSDI variation patterns (species/km2×103) (A); and RSTD variation among the groups within each of the regions (B).
Figure 3Regional variation of terrestrial faunal and floral biodiversity (TFFB), the summed RSTDs of the groups analyzed, in China, based on which regions are ranked for designing conservation strategy.
| REAGENT or RESOURCE | SOURCE | IDENTIFIER |
|---|---|---|
| China’s fauna and flora data | Catalogue of Life China in the Catalogue of Life | |
| SPSS/PC | Statistical software for data science | version 20, IBM |