Impacts of land use changes on net ecosystem production in the Taihu Lake Basin of China from 1985 to 2010

Journal of Geophysical Research: Biogeosciences

Volumn 122, Issue 3, 2017, Pages 690-707

  Xu, Xibao ^a,b   Yang, Guishan ^a   Tan, Yan ^c   Tang, Xuguang ^a   Jiang, Hong ^d   Sun, Xiaoxiang ^a   Zhuang, Qianlai ^b   Li, Hengpeng ^a  

^a NANJING INSTITUTE OF GEOGRAPHY AND LIMNOLOGY   (China)

^b PURDUE UNIVERSITY   (United States)

^c UNIVERSITY OF ADELAIDE   (Australia)

^d ZHEJIANG A F UNIVERSITY   (China)

Author keywords

BIOME BGC model; land use changes; net ecosystem production

Indexed keywords

BIOGEOCHEMICAL CYCLE; BIOME; CARBON DIOXIDE; CARBON FLUX; CARBON SINK; ENVIRONMENTAL PROTECTION; LAND USE CHANGE; NET ECOSYSTEM PRODUCTION; NITROGEN; POPULATION GROWTH;

CHINA; TAIHU BASIN;

EID: 85016607733     PISSN: 21698953     EISSN: 21698961     Source Type: Journal    
DOI: 10.1002/2016JG003444     Document Type: Article

References (70)

1. Bai, J., X. Chen, L. Li, G. Luo, and Q. Yu (2014), Quantifying the contributions of agricultural oasis expansion, management practices and climate change to net primary production and evapotranspiration in croplands in arid northwest China, J. Arid. Environ., 100, 31–41, doi:10.1016/j.jaridenv.2013.10.004.
2. Bartier, P. M., and C. P. Keller (1996), Multivariate interpolation to incorporate thematic surface data using inverse distance weighting (IDW), Comput. Geosci., 22(7), 795–799.
3. Boris, T., Z. Giuliana, J. V. Pieter, C. Galina, V. Nicolas, K. H. John, and L. Marcus (2010), A comparison of alternative modelling approaches to evaluate the European forest carbon fluxes, For. Ecol. Manage., 260, 241–251.
4. Chen, G., and M. Han (2015), Global supply chain of arable land use: Production-based and consumption-based trade imbalance, Land Use Policy, 49, 118–130, doi:10.1016/j.landusepol.2015.07.023.
5. Chen, W. Y. (2015), The role of urban green infrastructure in offsetting carbon emissions in 35 major Chinese cities: A nationwide estimate, Cities, 44, 112–120.
6. Chen, Z., G. Chen, B. Chen, J. Zhou, Z. Yang, and Y. Zhou (2009), Net ecosystem services value of wetland: Environmental economic account, Commun. Nonlinear Sci. Numer. Simul., 14(6), 2837–2843, doi:10.1016/j.cnsns.2008.01.021.
7. Chiesi, M., F. Maselli, M. Moriondo, L. Fibbi, M. Bindi, and S. W. Running (2007), Application of BIOME-BGC to simulate Mediterranean forest processes, Ecol. Modell., 206(1–2), 179–190, doi:10.1016/j.ecolmodel.2007.03.032.
8. Chuai, X. W., X. J. Huang, W. J. Wang, C. Y. Wu, and R. Q. Zhao (2014), Spatial simulation of land use based on terrestrial ecosystem carbon storage in coastal Jiangsu, China, Sci. Rep., 4, 5667, doi:10.1038/Srep05667.
9. Clark, D. B., et al. (2011), The Joint UK Land Environment Simulator (JULES), model description–Part 2: Carbon fluxes and vegetation dynamics, Geosci. Model Dev., 4(3), 701–722, doi:10.5194/gmd-4-701-2011.
10. Crawford, B., C. S. B. Grimmond, and A. Christen (2011), Five years of carbon dioxide fluxes measurements in a highly vegetated suburban area, Atmos. Environ., 45(4), 896–905, doi:10.1016/j.atmosenv.2010.11.017.
11. 2 assimilation in leaves Of C-3 species, Planta, 149(1), 78–90, doi:10.1007/Bf00386231.
12. Glassy, J. M., and S. W. Running (1994), Validating diurnal climatology of the MT-CLIM model across a climatic gradient in Oregon, Ecol. Appl., 4(2), 248–257.
13. Giltrap, D. L., C. S. Li, and S. Saggar (2010), DNDC: A process-based model of greenhouse gas fluxes from agricultural soils, Agric. Ecosyst. Environ., 136(3–4), 292–300, doi:10.1016/j.agee.2009.06.014.
14. Gonzalez, O. R., C. Kuper, K. Jung, P. C. Naval, and E. Mendoza (2007), Parameter estimation using simulated annealing for S-system models of biochemical networks, Bioinformatics, 23(4), 480–486, doi:10.1093/bioinformatics/btl522.
15. Han, Q. F., G. P. Luo, C. F. Li, and W. Q. Xu (2014), Modeling the grazing effect on dry grassland carbon cycling with BIOME-BGC model, Ecol. Complex., 17, 149–157, doi:10.1016/j.ecocom.2013.12.002.
16. Hidy, D., Z. Barcza, L. Haszpra, G. Churkina, K. Pinter, and Z. Nagy (2012), Development of the BIOME-BGC model for simulation of managed herbaceous ecosystems, Ecol. Modell., 226, 99–119, doi:10.1016/j.ecolmodel.2011.11.008.
17. Hou, X. J. (2010), Study on water characteristic in soil-plant-atmosphere continuum (SPAC) of phyllostachys pubescens (in Chinese), Master's thesis, Beijing, China.
18. Houghton, R. A. (2007), Balancing the global carbon budget, Annu. Rev. Earth Planet. Sci., 35, 313–347, doi:10.1146/annurev.earth.35.031306.140057.
19. Houghton, R. A. (2013), Keeping management effects separate from environmental effects in terrestrial carbon accounting, Global Change Biol., 19(9), 2609–2612, doi:10.1111/gcb.12233.
20. Houghton, R. A., J. L. Hackler, and K. T. Lawrence (1999), The US carbon budget: Contributions from land-use change, Science, 285(5427), 574–578, doi:10.1126/science.285.5427.574.
21. Intergovernmental Panel on Climate Change (IPCC) (2014), Climate Change 2014: Synthesis ReportRep, 151 pp., IPCC, Geneva, Switzerland.
22. 2 emissions from land-use change affected more by nitrogen cycle, than by the choice of land-cover data, Global Change Biol., 19(9), 2893–2906, doi:10.1111/gcb.12207.
23. 2 flux on the water-air interface of Taihu Lake, J. Environ. Sci., 27(8), 1479–1486.
24. Karim, A., J. Veizer, and J. Barth (2008), Net ecosystem production in the great lakes basin and its implications for the North American missing carbon sink: A hydrologic and stable isotope approach, Global Planet. Change, 61(1–2), 15–27, doi:10.1016/j.gloplacha.2007.08.004.
25. Kicklighter, D. W., A. Bondeau, A. L. Schloss, J. Kaduk, A. D. McGuire, and P. P. N. M. Intercomparison (1999), Comparing global models of terrestrial net primary productivity (NPP): Global pattern and differentiation by major biomes, Global Change Biol., 5, 16–24, doi:10.1046/j.1365-2486.1999.00003.x.
26. Kirschbaum, M. U. F. (1995), The temperature-dependence Of soil organic-matter decomposition, and the effect of global warming on soil organic-C storage, Soil Biol. Biochem., 27(6), 753–760, doi:10.1016/0038-0717(94)00242-S.
27. Law, B. E., O. J. Sun, J. Campbell, S. Van Tuyl, and P. E. Thornton (2003), Changes in carbon storage and fluxes in a chronosequence of ponderosa pine, Global Change Biol., 9(4), 510–524, doi:10.1046/j.1365-2486.2003.00624.x.
28. Lee, X., et al. (2014), The Taihu Eddy Flux Network: An observational program on energy, water, And greenhouse gas fluxes of a large freshwater lake, Bull. Am. Meteorol. Soc., 95(10), 1583–1594, doi:10.1175/Bams-D-13-00136.1.
29. Li, Q., Z. H. Hu, H. X. Xue, Y. L. Wang, T. T. Tan, and D. L. Wu (2009), Variation of net ecosystem carbon flux over typical agro-ecosystem in Huaihe River basin [in Chinese], J. Agro-Environ. Sci., 28(12), 2545–2550.
30. Liu, J., J. M. Chen, J. Cihlar, and W. M. Park (1997), A process-based boreal ecosystem productivity simulator using remote sensing inputs, Remote Sens. Environ., 62(2), 158–175, doi:10.1016/S0034-4257(97)00089-8.
31. Liu, X. J., et al. (2013), Enhanced nitrogen deposition over China, Nature, 494(7438), 459–462, doi:10.1038/nature11917.
32. Ma, S. X., G. Churkina, R. Wieland, and A. Gessler (2011), Optimization and evaluation of the ANTHRO-BGC model for winter crops in Europe, Ecol. Modell., 222(20–22), 3662–3679, doi:10.1016/j.ecolmodel.2011.08.025.
33. Ma, Y. C., X. W. Kong, B. Yang, X. L. Zhang, X. Y. Yan, J. C. Yang, and Z. Q. Xiong (2013), Net global warming potential and greenhouse gas intensity of annual rice-wheat rotations with integrated soil-crop system management, Agric. Ecosyst. Environ., 164, 209–219, doi:10.1016/j.agee.2012.11.003.
34. 2, climate and land use effects with four process-based ecosystem models, Global Biogeochem. Cycles, 15(1), 183–206, doi:10.1029/2000GB001298.
35. Melillo, J. M., A. D. Mcguire, D. W. Kicklighter, B. Moore, C. J. Vorosmarty, and A. L. Schloss (1993), Global climate-change and terrestrial net primary production, Nature, 363(6426), 234–240, doi:10.1038/363234a0.
36. Pan, G. X., L. S. Wu, L. Q. Li, X. H. Zhang, W. Gong, and Y. Wood (2008), Organic carbon stratification and size distribution of three typical paddy soils from Taihu Lake region, China, J. Environ. Sci., 20(4), 456–463, doi:10.1016/S1001-0742(08)62079-3.
37. Parton, W. J., et al. (1993), Observations and modeling of biomass and soil organic-matter dynamics for the Grassland biome worldwide, Global Biogeochem. Cycles, 7(4), 785–809, doi:10.1029/93GB02042.
38. Petritsch, R., H. Hasenauer, and S. A. Pietsch (2007), Incorporating forest growth response to thinning within BIOME-BGC, For. Ecol. Manage., 242(2–3), 324–336, doi:10.1016/j.foreco.2007.01.050.
39. Potter, C. S., J. T. Randerson, C. B. Field, P. A. Matson, P. M. Vitousek, H. A. Mooney, and S. A. Klooster (1993), Terrestrial ecosystem production—A process model-based on global satellite and surface data, Global Biogeochem. Cycles, 7(4), 811–841, doi:10.1029/93GB02725.
40. Robinson, D. T., D. G. Brown, and W. S. Currie (2009), Modelling carbon storage in highly fragmented and human-dominated landscapes: Linking land-cover patterns and ecosystem models, Ecol. Modell., 220(9–10), 1325–1338, doi:10.1016/j.ecolmodel.2009.02.020.
41. Robinson, D. T., S. P. Sun, M. Hutchins, R. L. Riolo, D. G. Brown, D. C. Parker, T. Filatova, W. S. Currie, and S. Kiger (2013), Effects of land markets and land management on ecosystem function: A framework for modelling exurban land-change, Environ. Model. Software, 45, 129–140, doi:10.1016/j.envsoft.2012.06.016.
42. Running, S. W., and R. E. Hunt (1993), Generalization of a forest ecosystem process model for other biomes, BIOME-BGC, and an application for global-scale models, in Scaling Physiological Processes: Leaf to Globe, edited by J. R. Ehleringer and C. B. Field, pp. 145–157, Academic Press, San Diego, Calif.
43. The State Council of the People's Republic of China (2014), National New-Type Urbanization Plan 2014–2020 (in Chinese), People's Publishing House, Beijing, China.
44. Schimel, D. S., et al. (2001), Recent patterns and mechanisms of carbon exchange by terrestrial ecosystems, Nature, 414(6860), 169–172, doi:10.1038/35102500.
45. Schulp, C. J. E., G. J. Nabuurs, and P. H. Verburg (2008), Future carbon sequestration in Europe—Effects of land use change, Agric. Ecosyst. Environ., 127(3–4), 251–264, doi:10.1016/j.agee.2008.04.010.
46. Shi, Y. (2013), Vegetation structure characteristics and carbon uptake of urban built-up area in China [in Chinese], Doctor thesis, Zhejiang Univ., Hangzhou, China.
47. Tang, X. G., Z. Ding, H. P. Li, X. Y. Li, J. H. Luo, J. Xie, and D. Q. Chen (2015a), Characterizing ecosystem water-use efficiency of croplands with eddy covariance measurements and MODIS products, Ecol. Eng., 85, 212–217, doi:10.1016/j.ecoleng.2015.09.078.
48. Tang, X. G., H. P. Li, N. Huang, X. Y. Li, X. B. Xu, Z. Ding, and J. Xie (2015b), A comprehensive assessment of MODIS-derived GPP for forest ecosystems using the site-level FLUXNET database, Environ. Earth Sci., 74(7), 5907–5918, doi:10.1007/s12665-015-4615-0.
49. Tatarinov, F. A., E. Cienciala, P. Vopenka, and V. Avilov (2011), Effect of climate change and nitrogen deposition on central-European forests: Regional-scale simulation for South Bohemia, For. Ecol. Manage., 262(10), 1919–1927, doi:10.1016/j.foreco.2011.02.020.
50. Thornton, P. E., et al. (2002), Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests, Agric. For. Meteorol., 113(1–4), 185–222.
51. Tomáš, H., B. Zoltán, B. Ivan, M. Katarína, S. Róbert, K. Anikó, P. Jozef, B. Borbála, F. Marek, and C. Galina (2014), Future carbon cycle in mountain spruce forests of central Europe: Modelling framework and ecological inferences, For. Ecol. Manage., 328, 55–68.
52. Trusilova, K. T., J. Trembath, and G. Churkina (2009), Parameter estimation and validation of the terrestrial ecosystem model BIOME-BGC using eddy-covariance flux measurements, Rep, Technical reports Max-Planck-Institut fur Biogeochemie 16, Germany.
53. Ueyama, M., et al. (2010), Simulating carbon and water cycles of larch forests in East Asia by the BIOME-BGC model with AsiaFlux data, Biogeosciences, 7(3), 959–977.
54. Wang, Q. X., W. Masataka, and O. Y. Zhu (2005), Simulation of water and carbon fluxes using BIOME-BGC model over crops in China, Agric. For. Meteorol., 131(3–4), 209–224, doi:10.1016/j.agrformet.2005.06.002.
55. Wang, W., K. Ichii, H. Hashimoto, A. R. Michaelis, P. E. Thornton, B. E. Law, and R. R. Nemani (2009), A hierarchical analysis of terrestrial ecosystem model BIOME-BGC: Equilibrium analysis and model calibration, Ecol. Modell., 220(17), 2009–2023, doi:10.1016/j.ecolmodel.2009.04.051.
56. Ward, H. C., S. Kotthaus, C. S. B. Grimmond, A. Bjorkegren, M. Wilkinson, W. T. J. Morrison, J. G. Evans, J. I. L. Morison, and M. Iamarino (2015), Effects of urban density on carbon dioxide exchanges: Observations of dense urban, suburban and woodland areas of southern England, Environ. Pollut., 198, 186–200, doi:10.1016/j.envpol.2014.12.031.
57. 2 emissions, Urban Clim., 8, 100–125.
58. White, M. A., P. E. Thornton, S. W. Running, and R. R. Nemani (2000), Parameterization and sensitivity analysis of the BIOME-BGC terrestrial ecosystem model: Net primary production controls, Earth Interact., 4, 1–85, doi:10.1175/1087-3562(2000)004<0003:PASAOT>2.0.CO;2.
59. Wu, C. Y., J. M. Chen, A. Gonsamo, D. T. Price, T. A. Black, and W. A. Kurz (2012), Interannual variability of net carbon exchange is related to the lag between the end-dates of net carbon uptake and photosynthesis: Evidence from long records at two contrasting forest stands, Agric. For. Meteorol., 164, 29–38, doi:10.1016/j.agrformet.2012.05.002.
60. Wu, S. H., S. L. Zhou, D. X. Chen, Z. Q. Wei, L. Dai, and X. G. Li (2014), Determining the contributions of urbanisation and climate change to NPP variations over the last decade in the Yangtze River delta, China, Sci. Total Environ., 472, 397–406.
61. Xing, Y. P., P. Xie, H. Yang, L. Y. Ni, Y. S. Wang, and K. W. Rong (2005), Methane and carbon dioxide fluxes from a shallow hypereutrophic subtropical Lake in China, Atmos. Environ., 39(30), 5532–5540, doi:10.1016/j.atmosenv.2005.06.010.
62. Xinhuanet (2013), President Xi vows strict observation of ecological “red line”, Beijing.
63. Xu, X. B., G. S. Yang, and H. P. Li (2011), Impacts of land use change on net primary productivity in the Taihu Basin, China [in Chinese], Res. Sci., 33, 1940–1947.
64. 2 exchange (NEE) in the rice-wheat rotation agroecosystem of the Lake Taihu Basin, China [in Chinese], Acta Ecol. Sin., 35(20), 6655–6665.
65. Xu, X. B., G. S. Yang, Y. Tan, Q. L. Zhuang, H. P. Li, R. R. Wan, W. Z. Su, and J. Zhang (2016), Ecological risk assessment of ecosystem services in the Taihu Lake Basin of China from 1985 to 2020, Sci. Total Environ., 554–555, 7–16.
66. Zhang, X. X., S. Yin, Y. S. Li, H. L. Zhuang, C. S. Li, and C. J. Liu (2014), Comparison of greenhouse gas emissions from rice paddy fields under different nitrogen fertilization loads in Chongming Island, Eastern China, Sci. Total Environ., 472, 381–388, doi:10.1016/j.scitotenv.2013.11.014.
67. Zhao, M., Z. H. Kong, F. J. Escobedo, and J. Gao (2010), Impacts of urban forests on offsetting carbon emissions from industrial energy use in Hangzhou, China, J. Environ. Manage., 91(4), 807–813, doi:10.1016/j.jenvman.2009.10.010.
68. Zhou, B. Z. (2006), Dynamics of bamboo's below-ground system based on minirhizotron technique (in Chinese), PhD dissertation thesis, Chinese Academy of Forestry, Beijing.
69. Zhou, G. M. (2006), Carbon storage, fixation and distribution in mao bamboo (phyllostachys pubescens) stands ecosystem (in Chinese), PhD dissertation thesis, Zhejiang Univ., Hanzhou, China.
70. Zhu, Q., and Q. L. Zhuang (2014), Parameterization and sensitivity analysis of a process-based terrestrial ecosystem model using adjoint method, J. Adv. Model. Earth Syst., 6(2), 315–331, doi:10.1002/2013MS000241.