Patterns in species geographic range size are relatively well-known for vertebrates,but still poorly known for plants.Contrasts of these patterns between groups have rarely been investigated.With a detailed flora and ...Patterns in species geographic range size are relatively well-known for vertebrates,but still poorly known for plants.Contrasts of these patterns between groups have rarely been investigated.With a detailed flora and fauna distribution database of Xinjiang,China,we used regression methods,redundancy analysis and random forests to explore the relationship of environment and body size with the geographic range size of plants,mammals and birds in Xinjiang and contrast these patterns between plants and animals.We found positive correlations between species range size and body size.The range size of plants was more influenced by water variables,while that of mammals and birds was largely influenced by temperature variables.The productivity variable,i.e.,Enhanced Vegetation Index(EVI)was far more correlated with range size than climatic variables for both plants and animals,suggesting that vegetation productivity inferred from remote sensing data may be a good predictor of species range size for both plants and animals.展开更多
The ecological vulnerability of global protected areas(PAs)is linked to the 2030 United Nations Sustainable Development Goals.We developed a novel degree of ecological vulnerability(DEV)index based on Big Earth Data t...The ecological vulnerability of global protected areas(PAs)is linked to the 2030 United Nations Sustainable Development Goals.We developed a novel degree of ecological vulnerability(DEV)index based on Big Earth Data to assess the ecological vulnerability of PAs.This is a transparent,repeatable,large-scale and rapid assessment method.We applied the method to case studies of International Union for Conservation of Nature(IUCN)PAs in the basins of the Aral Sea,the Caspian Sea,the Black Sea and the Lake Baikal.Between 2001 and 2015,the spatial pattern of ecological vulnerability in the study area was relatively stable.The Caspian Sea basin and protected landscape/seascape(category V)showed high ecological vulnerability,while the Black Sea basin and wilderness areas(category Ib)showed low ecological vulnerability.Big Earth Data shows great vitality in PAs ecological vulnerability assessment.Strengthening international cooperation is an important means to break the bottleneck of ecological environment and resource endowment in these important international basins.展开更多
Based on the two most recent assessments of Chinese higher plants in 2013 and 2020,of 34,450 and 39,330 species,respectively,we analysed the threatened status of Chinese higher plants.In 2020,around 4,088(10.39%)of th...Based on the two most recent assessments of Chinese higher plants in 2013 and 2020,of 34,450 and 39,330 species,respectively,we analysed the threatened status of Chinese higher plants.In 2020,around 4,088(10.39%)of the assessed species in China are threatened,2,875(7.31%)Near Threatened,27,593(70.16%)not currently threatened and categorised as Least Concern and 4,752(12.08%)categorised as Data Deficient.While in 2013,3,767(10.93%)of the assessed higher plants in China are threatened,2,723(7.90%)Near Threatened,24,296(70.53%)Least Concern and 3,612(10.48%)Data Deficient.Estimates of the Red List Index in the two years show different patterns when using different weighting methods with the equal steps weighting method showing a slight decrease(0.91675-0.91495)and the extinction risk weighting method showing a slight increase(0.98792-0.98797).We inferred that China's threatened plant species were likely/relatively effectively protected.However,attention should also be given to the non-threatened species in the future as an additional strategy for their conservation,to maintain their non-threatened status.展开更多
基金This work was supported by the Strategic Priority Research Program of Chinese Academy of Sciences(XDA26010101)the National Key Research and Development Program of China(2020YFC0832800)+1 种基金National Natural Science Foundation of China(41801366,52101405)NSFC-RS exchange project between China and UK(42011530175)。
文摘Patterns in species geographic range size are relatively well-known for vertebrates,but still poorly known for plants.Contrasts of these patterns between groups have rarely been investigated.With a detailed flora and fauna distribution database of Xinjiang,China,we used regression methods,redundancy analysis and random forests to explore the relationship of environment and body size with the geographic range size of plants,mammals and birds in Xinjiang and contrast these patterns between plants and animals.We found positive correlations between species range size and body size.The range size of plants was more influenced by water variables,while that of mammals and birds was largely influenced by temperature variables.The productivity variable,i.e.,Enhanced Vegetation Index(EVI)was far more correlated with range size than climatic variables for both plants and animals,suggesting that vegetation productivity inferred from remote sensing data may be a good predictor of species range size for both plants and animals.
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(grant number XDA19030104,XDA19090120 and XDA19090124).
文摘The ecological vulnerability of global protected areas(PAs)is linked to the 2030 United Nations Sustainable Development Goals.We developed a novel degree of ecological vulnerability(DEV)index based on Big Earth Data to assess the ecological vulnerability of PAs.This is a transparent,repeatable,large-scale and rapid assessment method.We applied the method to case studies of International Union for Conservation of Nature(IUCN)PAs in the basins of the Aral Sea,the Caspian Sea,the Black Sea and the Lake Baikal.Between 2001 and 2015,the spatial pattern of ecological vulnerability in the study area was relatively stable.The Caspian Sea basin and protected landscape/seascape(category V)showed high ecological vulnerability,while the Black Sea basin and wilderness areas(category Ib)showed low ecological vulnerability.Big Earth Data shows great vitality in PAs ecological vulnerability assessment.Strengthening international cooperation is an important means to break the bottleneck of ecological environment and resource endowment in these important international basins.
基金funded by the Natural Science Foundation of Hunan Province,China(2023JJ40443)the Outstanding Youth Project of Hunan Provincial Education Department(22B0088 and 22B0055)+1 种基金the Joint Fund for Regional Innovation and Development of the National Natural Science Foundation(U22A20570)the Science and Technology Innovation Program of Hunan Province(2022RC4027),China.
文摘Based on the two most recent assessments of Chinese higher plants in 2013 and 2020,of 34,450 and 39,330 species,respectively,we analysed the threatened status of Chinese higher plants.In 2020,around 4,088(10.39%)of the assessed species in China are threatened,2,875(7.31%)Near Threatened,27,593(70.16%)not currently threatened and categorised as Least Concern and 4,752(12.08%)categorised as Data Deficient.While in 2013,3,767(10.93%)of the assessed higher plants in China are threatened,2,723(7.90%)Near Threatened,24,296(70.53%)Least Concern and 3,612(10.48%)Data Deficient.Estimates of the Red List Index in the two years show different patterns when using different weighting methods with the equal steps weighting method showing a slight decrease(0.91675-0.91495)and the extinction risk weighting method showing a slight increase(0.98792-0.98797).We inferred that China's threatened plant species were likely/relatively effectively protected.However,attention should also be given to the non-threatened species in the future as an additional strategy for their conservation,to maintain their non-threatened status.
