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Temporal and spatial variations and influencing factors of gross primary productivity in Changbai Mountain Nature Reserve, China.
Li, Chun-Bo; Zhang, Yuan; Liu, Ya-Ge; Wu, Jia-Bing; Wang, An-Zhi.
Afiliación
  • Li CB; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Zhang Y; Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.
  • Liu YG; Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.
  • Wu JB; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Wang AZ; Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.
Ying Yong Sheng Tai Xue Bao ; 34(5): 1341-1348, 2023 May.
Article en En | MEDLINE | ID: mdl-37236952
ABSTRACT
Changbai Mountain Nature Reserve (CNR) is a typical temperate forest ecosystem, and gross primary production (GPP) of which is closely related to topography and climate change. Research on the spatio-temporal variations and influencing factors of GPP in the CNR is of great significance for assessing growth status of vegetation and the quality of ecological environment. We calculated GPP in CNR using the vegetation photosynthesis model (VPM), and analyzed the influences of slope, altitude, temperature, precipitation, and total radiation. The results showed that the range of annual average GPP in CNR was 63-1706 g C·m-2·a-1 from 2000 to 2020 and that GPP decreased with the increases of altitude. Temperature played the most important role in driving the spatial varia-tion of GPP, with a significant positive correlation with GPP. During the study period, the overall annual GPP showed a significant increase trend in CNR, with an average annual increase of 13 g C·m-2·a-1. The areas with increase of annual GPP accounted for 79.9% of the total area, and the area proportion of annual GPP increase differed in each plant functional type. Annual precipitation was significantly negatively correlated with GPP in 43.2% of CNR, while annual mean temperature and annual total radiation were significantly positively correlated with GPP in 47.2% and 82.4% of CNR. GPP would increase continuously in CNR under the scenario of future global warming.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bosques / Ecosistema Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Ying Yong Sheng Tai Xue Bao Asunto de la revista: SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bosques / Ecosistema Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Ying Yong Sheng Tai Xue Bao Asunto de la revista: SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article País de afiliación: China