Speculation for quantifying increased C4 plants under future climate conditions: Inner Mongolia, China case study
被引:0
作者:
Ma, Xueyun
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
Ma, Xueyun
[1
,4
]
Wei, Zhifu
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R ChinaChinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
Wei, Zhifu
[1
]
Wang, Yongli
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Geol & Geophys, Key Lab Cenozo Geol & Environm, Beijing 100029, Peoples R China
CAS Ctr Excellence Life & Paleoenvironm, Beijing 100029, Peoples R ChinaChinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
Wang, Yongli
[2
,3
]
Wang, Gen
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R ChinaChinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
Wang, Gen
[1
]
Zhang, Ting
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
Zhang, Ting
[1
,4
]
Ma, He
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Geol & Geophys, Key Lab Cenozo Geol & Environm, Beijing 100029, Peoples R China
CAS Ctr Excellence Life & Paleoenvironm, Beijing 100029, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
Ma, He
[2
,3
,4
]
He, Wei
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
He, Wei
[1
,4
]
Yu, Xiaoli
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
Yu, Xiaoli
[1
,4
]
Li, Shangkun
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
Li, Shangkun
[1
,4
]
Fan, Qiaohui
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R ChinaChinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
Fan, Qiaohui
[1
]
机构:
[1] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Petr Resources Res, Lanzhou 730000, Gansu, Peoples R China
[2] Chinese Acad Sci, Inst Geol & Geophys, Key Lab Cenozo Geol & Environm, Beijing 100029, Peoples R China
[3] CAS Ctr Excellence Life & Paleoenvironm, Beijing 100029, Peoples R China
[4] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Alternating conditions from cold to warm periods since the Late Glacial provided a significant contrast for future hydroclimatic variation, as did the corresponding variation in vegetation. To predict the potential variability in C-3/C-4 biomass under future warmer climatic conditions, we determined the current spatiotemporal distribution of C-3 and C-4 vegetation by estimating the variability of delta C-13(org) values in 125 topsoil samples and investigating the geological period variability of C-4 plants growing in Inner Mongolia, China. We examined the factors contributing to the growth of C-4 plants and the variability in C-4 plants for each 1 degrees C increase in temperature during recent and geological times. The results revealed that the relative abundance of C-4 plants in Inner Mongolia shows an increasing trend from the northwest to the southeast. The biomass of C-4 plants was found to be positively correlated with temperature, although weakly correlated with precipitation, thereby indicating that temperature is the primary climatic factor determining the growth of C-4 plants in this region. Furthermore, we found that in response to each 1 degrees C increase in temperature, there would be an approximate 2.1% increase in the spatiotemporal variation of present-day C-4 plant biomass in Inner Mongolia, whereas during the geological period, there was a corresponding increase of 10.7%. Comparatively, the spatiotemporal variation in present-day C-4 biomass on the Chinese Loess Plateau has undergone a 4.0% increase in response to each 1 degrees C increase in temperature, whereas 6.0% and 7.5% increases in the geological period were estimated based on core samples taken from the Lantian and Xingyang sections, respectively. Interestingly, for each 1 degrees C increase in temperature during the current growth month of C-4 plants, there is a 6.6% increase in C-4 biomass, which is essentially consistent with the results obtained for the geological period results (i.e., 6.0% and 7.5% for the Lantian and Xingyang sections, respectively). The findings of this study reveal a distinct contrast in the variation of C-4 plants during recent and geological periods, thereby enabling us to quantitatively estimate the potential changes in C-4 vegetation in response to projected climate conditions.
机构:
Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
Ye, Linyuan
Cheng, Lei
论文数: 0引用数: 0
h-index: 0
机构:
Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
Cheng, Lei
Liu, Pan
论文数: 0引用数: 0
h-index: 0
机构:
Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
Liu, Pan
Liu, Deli
论文数: 0引用数: 0
h-index: 0
机构:
Wagga Wagga Agr Inst, NSW Dept Primary Ind, Wagga Wagga, NSW 2650, AustraliaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
Liu, Deli
Zhang, Lu
论文数: 0引用数: 0
h-index: 0
机构:
CSIRO Land & Water, Black Mt, Canberra, ACT 2601, AustraliaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
Zhang, Lu
Qin, Shujing
论文数: 0引用数: 0
h-index: 0
机构:
Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
Qin, Shujing
Xia, Jun
论文数: 0引用数: 0
h-index: 0
机构:
Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
机构:
Bavarian State Inst Forestry, Hans Carl von Carlowitz Pl 1, D-85354 Freising Weihenstephan, GermanyBavarian State Inst Forestry, Hans Carl von Carlowitz Pl 1, D-85354 Freising Weihenstephan, Germany
Fischer, Hagen S.
Michler, Barbara
论文数: 0引用数: 0
h-index: 0
机构:
Tech Univ Munich, Sch Forest Sci & Resource Management, Geobot, Hans Carl von Carlowitz Pl 2, D-85354 Freising Weihenstephan, GermanyBavarian State Inst Forestry, Hans Carl von Carlowitz Pl 1, D-85354 Freising Weihenstephan, Germany
Michler, Barbara
Fischer, Anton
论文数: 0引用数: 0
h-index: 0
机构:
Tech Univ Munich, Sch Forest Sci & Resource Management, Geobot, Hans Carl von Carlowitz Pl 2, D-85354 Freising Weihenstephan, GermanyBavarian State Inst Forestry, Hans Carl von Carlowitz Pl 1, D-85354 Freising Weihenstephan, Germany
机构:
Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China
Yeung, Pak Shing
Fung, Jimmy Chi-Hung
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China
Hong Kong Univ Sci & Technol, Dept Math, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China
Fung, Jimmy Chi-Hung
Ren, Chao
论文数: 0引用数: 0
h-index: 0
机构:
Univ Hong Kong, Fac Architecture, Hong Kong, Peoples R China
Chinese Univ Hong Kong, Inst Future Cities, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China
Ren, Chao
Xu, Yong
论文数: 0引用数: 0
h-index: 0
机构:
Guangzhou Univ, Sch Geog Sci, Guangzhou 510006, Peoples R ChinaHong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China
Xu, Yong
Huang, Kangning
论文数: 0引用数: 0
h-index: 0
机构:
Yale Univ, Sch Forestry & Environm Studies, New Haven, CT 06520 USAHong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China
Huang, Kangning
Leng, Jiye
论文数: 0引用数: 0
h-index: 0
机构:
Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Peoples R ChinaHong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China
Leng, Jiye
Wong, Michael Mau-Fong
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China