Carbon stocks;
Land cover;
NPP;
GPP;
Calculated respiration;
Hotspots and cold spots;
CARBON USE EFFICIENCY;
ECOSYSTEM SERVICE INDICATORS;
MODIS;
FOREST;
RESPIRATION;
PATTERNS;
SUPPORT;
NPP;
GPP;
BIODIVERSITY;
D O I:
10.1186/s13021-020-00138-3
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Background Annual total Gross Primary Production (GPP) and Net Primary Production (NPP) and the annual total stored GPP and NPP are tightly coupled to land cover distributions because the distinct vegetation conditions of different land cover classes strongly affect GPP and NPP. Spatial and statistical analysis tools using Geographic Information Systems (GIS) were used to investigate the spatial distribution of each land cover class and the GPP and NPP based on the CORINE land cover classification in the federal state, Schleswig-Holstein, Germany for the years 2000, 2006 and 2012. Results "Non-irrigated arable land" and "pastures" were the dominant land cover classes. Because of their large area, "non-irrigated arable land" and "pastures" had higher annual total stored GPP and NPP values than the other land cover classes. Annual total GPP and NPP hotspots were concentrated in the central-western part of Schleswig-Holstein. Cold spots were mainly located in the western and eastern Schleswig-Holstein. The distributions of the annual total GPP and NPP hotspots and cold spots were primarily determined by land cover and land cover changes among the investigated years. The average annual total NPP/GPP ratios were 0.5647, 0.5350 and 0.5573 in the years 2000, 2006 and 2012, respectively. The calculated respiration in 2006 was the highest, followed by those in 2012 and 2000. Conclusions The land cover classes with high-ability of carbon stocks in 2000, 2006 and 2012 in Schleswig-Holstein were identified in this study. Furthermore, it is recommendable to enhance the annual total GPP and NPP and the annual total stored GPP and NPP in Schleswig-Holstein by replacing the land cover classes showing low carbon stock capabilities with the classes showing high abilities for the purpose of increasing greenhouse gas fixation.
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Peng, Dailiang
Zhang, Bing
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Zhang, Bing
Wu, Chaoyang
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Wu, Chaoyang
Huete, Alfredo R.
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Univ Technol, Climate Change Cluster C3, Sydney, NSW 2007, AustraliaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Huete, Alfredo R.
Gonsamo, Alemu
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Univ Toronto, Dept Geog & Program Planning, 100 St George St, Toronto, ON M5S 3G3, CanadaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Gonsamo, Alemu
Lei, Liping
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Lei, Liping
Ponce-Campos, Guillermo E.
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USDA ARS Southwest Watershed Res, Tucson, AZ 85719 USAChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Ponce-Campos, Guillermo E.
Liu, Xinjie
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Liu, Xinjie
Wu, Yanhong
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
机构:
China Meteorol Adm, Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
China Meteorol Adm, State Key Lab Severe Weather LaSW, Beijing 100081, Peoples R ChinaChina Meteorol Adm, Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
LI, Wei-Ping
Zhang, Yan-Wu
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China Meteorol Adm, Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
China Meteorol Adm, State Key Lab Severe Weather LaSW, Beijing 100081, Peoples R ChinaChina Meteorol Adm, Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
Zhang, Yan-Wu
Mu, Mingquan
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机构:
Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USAChina Meteorol Adm, Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
Mu, Mingquan
Shi, Xue-Li
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China Meteorol Adm, Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
China Meteorol Adm, State Key Lab Severe Weather LaSW, Beijing 100081, Peoples R ChinaChina Meteorol Adm, Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
Shi, Xue-Li
Zhou, Wen-Yan
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China Meteorol Adm, Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
China Meteorol Adm, State Key Lab Severe Weather LaSW, Beijing 100081, Peoples R ChinaChina Meteorol Adm, Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
Zhou, Wen-Yan
Ji, Jin-Jun
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机构:
Chinese Acad Sci, Inst Atmospher Phys, Beijing 100029, Peoples R ChinaChina Meteorol Adm, Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China