Temporal and Spatial Patterns of Aboveground Biomass and Its Driving Forces in a Subtropical Forest : A Case Study

• Autorzy: Ma Lei , Li Wen , Shi Nannan , Fu Shenglei , Lian Juyu , Ye Wanhui

Identyfikatory

DOI

10.3161/15052249PJE2019.67.2.001

• Języki publikacji: EN

Abstrakty

EN

The accurate characterization of aboveground biomass (AGB) dynamics and their driving forces in sub-tropical forests is important to evaluate AGB's contribution to global carbon stocks. In order to estimate the effects of local variables on temporal and spatial patterns of AGB we investigated the variation of AGB in a 20-ha sub-tropical permanent plot. We found that the AGB was 153.7 Mg ha^-1 in 2005, and 149.3 Mg ha^-1 in 2010. During the five-year period, AGB changed due to tree mortality, growth (diameter at breast height, DBH) and recruitment. Medium-sized trees (DBH: 30-50 cm) were the largest contributor to total AGB. Both the tree species diversity index and the number of individuals within medium (DBH: 30-50 cm) and large (DBH: >50 cm) DBH ranges had significant positive effects on AGB. In addition, the abiotic factors such as elevation, slope, and convexity had negative significant relationships with AGB. The results indicate the importance of including forest community characteristics and environmental variables in forest carbon studies. This study also provides important data that can be used to develop and validate carbon cycling models for old-growth sub-tropical forests.

Słowa kluczowe

EN

abiotic factors; aboveground biomass; biotic factors; temporal-spatial pattern; tree species

PL

czynniki abiotyczne; biomasa naziemna; czynniki biotyczne; wzór czasowo-przestrzenny; gatunki drzew

• Wydawca: Museum and Institute of Zoology, Polish Academy of Sciences
• Czasopismo: Polish Journal of Ecology
• Rocznik: 2019
• Tom: Vol. 67, nr 2
• Strony: 95--104
• Opis fizyczny: Bibliogr. 39 poz., mapa, tab., wykr.

Twórcy

autor

Ma Lei

• Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, P. R. China
• The college of Environment and Planning of Henan University, Jingming Road No.1, Kaifeng, 475004, P. R. China

autor

Li Wen

• Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, P. R. China
• The college of Environment and Planning of Henan University, Jingming Road No.1, Kaifeng, 475004, P. R. China

autor

Shi Nannan

• Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, P. R. China
• The college of Environment and Planning of Henan University, Jingming Road No.1, Kaifeng, 475004, P. R. China

autor

Fu Shenglei

• Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, P. R. China
• The college of Environment and Planning of Henan University, Jingming Road No.1, Kaifeng, 475004, P. R. China

autor

Lian Juyu

• Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Xingke Road 723, Guangzhou, 510650, P. R. China

autor

Ye Wanhui

• Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Xingke Road 723, Guangzhou, 510650, P. R. China

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