Disentangling effects of natural and anthropogenic drivers on forest net ecosystem production

被引:12
|
作者
Wang, You-Ren [1 ,2 ]
Buchmann, Nina [3 ]
Hessen, Dag O. [1 ]
Stordal, Frode [1 ]
Erisman, Jan Willem [2 ,4 ]
Vollsnes, Ane Victoria [1 ]
Andersen, Tom [1 ]
Dolman, Han [2 ,5 ]
机构
[1] Univ Oslo, Ctr Biogeochem Anthropocene, N-0316 Oslo, Norway
[2] Vrije Univ Amsterdam, Dept Earth Sci, NL-1081 HV Amsterdam, Netherlands
[3] Swiss Fed Inst Technol, Dept Environm Syst Sci, CH-8092 Zurich, Switzerland
[4] Leiden Univ, Inst Environm Sci, NL-2311 Leiden, Netherlands
[5] Royal Netherlands Inst Sea Res, NL-1797 SZ Texel, Netherlands
基金
欧盟第七框架计划;
关键词
Forest carbon uptake; NEE; GPP; RECO; Empirical biogeochemical models; GAM; NITROGEN DEPOSITION; SOIL ACIDIFICATION; EUROPEAN FORESTS; TREE MORTALITY; CARBON STORAGE; WATER; IMPACTS; RESPIRATION; TEMPERATE; NUTRITION;
D O I
10.1016/j.scitotenv.2022.156326
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Net Ecosystem Production (NEP) of forests is the net carbon dioxide (CO2) fluxes between land and the atmosphere due to forests' biogeochemical processes. NEP varies with natural drivers such as precipitation, air temperature, solar radiation, plant functional type (PFT), and soil texture, which affect the gross primary production and ecosystem respiration, and thus the net C sequestration. It is also known that deposition of sulphur and nitrogen influences NEP in forest ecosystems. These drivers' respective, unique effects on NEP, however, are often difficult to be individually identified by conventional bivariate analysis. Here we show that by analyzing 22 forest sites with 231 site-year data acquired from FLUXNET database across Europe for the years 2000-2014, the individual, unique effects of these drivers on annual forest CO2 fluxes can be disentangled using Generalized Additive Models (GAM) for nonlinear regression analysis. We show that S and N deposition have substantial impacts on NEP, where S deposition above 5 kg S ha(-1) yr(-1) can significantly reduce NEP, and N deposition around 22 kg N ha(-1) yr(-1) has the highest positive effect on NEP. Our results suggest that air quality management of S and N is crucial for maintaining healthy biogeochemical functions of forests to mitigate climate change. Furthermore, the empirical models we developed for estimating NEP of forests can serve as a forest management tool in the context of climate change mitigation. Potential applications include the assessment of forest carbon fluxes in the REDD+ framework of the UNFCCC.
引用
收藏
页数:12
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