Spatial impacts of climate factors on regional agricultural and forestry biomass resources in north-eastern province of China

doi:10.1007/s11783-016-0864-8

Front. Environ. Sci. Eng.

0, Vol.

Issue () : 17 https://doi.org/10.1007/s11783-016-0864-8

RESEARCH ARTICLE

Spatial impacts of climate factors on regional agricultural and forestry biomass resources in north-eastern province of China

Wenyan Wang^1,²,Wei Ouyang^1,^*(

),Fanghua Hao¹,Yun Luan³,Bo Hu⁴

¹. School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China
². Beijing Zhongchi Green Energy and Environmental Technology Co., Ltd., Golden Resources Office Building, Beijing 100097, China
³. The Administrative Center for China’s Agenda 21, Ministry of Science and Technology of the People’s Republic of China, Beijing 100038, China
⁴. Department of Soil and Water Conservation, Changjiang River Scientific Research Institute, Wuhan 430019, China

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Abstract

Dynamic analysis of biomass combined NPP modeling has been adopted.

Temperature trends to warming and precipitation has periodic fluctuation.

Regional distribution of agricultural and forestry biomass is mutual and divergent.

Precipitation is significantly positive correlated with agricultural biomass.

Temperature is negative on forestry biomass in Lesser Khingan & northern Changbai.

Precipitation plays positive effect on biomass in southwestern Changbai Mountain.

The dynamics of agricultural and forestry biomass are highly sensitive to climate change, particularly in high latitude regions. Heilongjiang Province was selected as research area in North-east China. We explored the trend of regional climate warming and distribution feature of biomass resources, and then analyzed on the spatial relationship between climate factors and biomass resources. Net primary productivity (NPP) is one of the key indicators of vegetation productivity, and was simulated as base data to calculate the distribution of agricultural and forestry biomass. The results show that temperatures rose by up to 0.37°C/10a from 1961 to 2013. Spatially, the variation of agricultural biomass per unit area changed from -1.93 to 5.85 t·km⁻²·a⁻¹ during 2000–2013. More than 85% of farmland areas showed a positive relationship between agricultural biomass and precipitation. The results suggest that precipitation exerts an overwhelming climate influence on agricultural biomass. The mean density of forestry biomass varied from 10 to 30 t·km⁻². Temperature had a significant negative effect on forestry biomass in Lesser Khingan and northern Changbai Mountain, because increased temperature leads to decreased Rubisco activity and increased respiration in these areas. Precipitation had a significant positive relationship with forestry biomass in south-western Changbai Mountain, because this area had a warmer climate and stress from insufficient precipitation may induce xylem cavitation. Understanding the effects of climate factors on regional biomass resources is of great significance in improving environmental management and promoting sustainable development of further biomass resource use.

Keywords Biomass resources Net primary productivity (NPP) Climate change Heilongjiang Province China Climate Energy systems/technology Other sustainability (specify) Statistical methods GIS Model flow CFD

PACS:

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Corresponding Author(s): Wei Ouyang

Issue Date: 04 August 2016

Cite this article:

Wenyan Wang,Wei Ouyang,Fanghua Hao, et al. Spatial impacts of climate factors on regional agricultural and forestry biomass resources in north-eastern province of China[J]. Front. Environ. Sci. Eng., 0, (): 17.

URL:

https://academic.hep.com.cn/fese/EN/10.1007/s11783-016-0864-8
https://academic.hep.com.cn/fese/EN/Y0/V/I/17

Fig.1 Location of study area and meteorological stations

Fig.2 Main spatial-temporal analysis framework of this study

Fig.3 Changes in meteorological data from 1961 to 2013 (a) mean annual air temperature, and mean lowest/ highest temperature; (b) surface ground temperature and maximum depth of frozen soil; (c) frequency of extreme lowest temperature and annual extreme lowest temperature; (d) annual sunshine duration and precipitation

Fig.4 Decadal distribution of temperature and precipitation in Heilongjiang Province. (a) temperature; (b) precipitation

Fig.5 Spatial distribution of average annual NPP from 2000 to 2013 in Heilongjiang Province

Fig.6 Total amount of agricultural and forestry biomass available in Heilongjiang Province

Fig.7 Distribution of agricultural and forestry biomass available in Heilongjiang Province (a1) agricultural biomass distribution; (a2) change rate of agricultural biomass; (b1) forestry biomass distribution; (b2) change rate of forestry biomass

Fig.8 Correlation coefficient between climate factors and NPP/biomass (a) correlation coefficient of temperature and NPP; (b) correlation coefficient of precipitation and NPP; (c) correlation coefficient of temperature and agricultural biomass; (d) correlation coefficient of precipitation and agricultural biomass; (e) correlation coefficient of temperature and forestry biomass; (f) correlation coefficient of precipitation and forestry biomass

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