气候变化对扎龙自然保护区植被生产力的影响

于成龙; 刘丹; 殷世平

doi:10.13961/j.cnki.stbctb.2023.05.026

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气候变化对扎龙自然保护区植被生产力的影响

试验研究

- 气候变化对扎龙自然保护区植被生产力的影响
- Effects of Climate Change on Vegetation Productivity in Zhalong Nature Reserve
- 水土保持通报 2023年43卷第5期页码：220-226
- 作者机构：
  
  黑龙江省气象科学研究所,黑龙江,哈尔滨,150030
- 作者简介：
- 基金信息：
  
  黑龙江省自然科学基金项目“黑龙江省森林碳收支评估、预测及气候风险预警”(LH2022D023)
- DOI：10.13961/j.cnki.stbctb.2023.05.026
  中图分类号： X171.1
- 纸质出版：2023
- 稿件说明：
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于成龙, 刘丹, 殷世平. 气候变化对扎龙自然保护区植被生产力的影响[J]. 水土保持通报, 2023,43(5):220-226.

Yu Chenglong, Liu Dan, Yin Shiping. Effects of Climate Change on Vegetation Productivity in Zhalong Nature Reserve[J]. Bulletin of Soiland Water Conservation, 2023, 43(5): 220-226.
于成龙, 刘丹, 殷世平. 气候变化对扎龙自然保护区植被生产力的影响[J]. 水土保持通报, 2023,43(5):220-226. DOI： 10.13961/j.cnki.stbctb.2023.05.026.

Yu Chenglong, Liu Dan, Yin Shiping. Effects of Climate Change on Vegetation Productivity in Zhalong Nature Reserve[J]. Bulletin of Soiland Water Conservation, 2023, 43(5): 220-226. DOI： 10.13961/j.cnki.stbctb.2023.05.026.

摘要

[目的

]

准确了解2010年以来扎龙自然保护区生态变化，为提高湿地生态系统服务价值评估能力提供数据支持和理论参考。[方法

]

基于遥感、气象、地面协同观测数据，利用CASA (Carnegie-Ames-Stanford Approach)模型、GSMSR (Geostatistical Model of Soil Respiration)模型和回归分析等统计方法，分析气候变化对2010—2020年扎龙自然保护区土地覆盖、植被生态质量、净生态系统生产力(NEP)等的影响。[结果

]

①扎龙自然保护区的主要土地覆盖类型为有水草甸，占保护区面积的37.24%，主要分布在核心区，但面积总体呈下降趋势； ②植被覆盖度呈波动增长趋势，年最高植被覆盖度平均为74.62%； ③植被生态质量指数呈增加趋势，2019，2020年处于“好”等级；NEP平均为253.59 g/(m

·a)(以C计)，呈现东高西低的空间分布特征； ④生长季平均固碳量为5.69×10

t/a，释氧量1.52×10

t/a，均存在上升趋势； ⑤气温对生态监测指标的影响大于降水量。[结论

]

扎龙自然保护区是嫩江流域生态最为脆弱的区域，植被生产力受气候影响大，需要加强生态保护和修复。

Abstract

[Objective] The ecological changes in Zhalong Nature Reserve since 2010 were studied accurately in order to provide data support and theoretical references for improving the ability to assess the value of wetland ecosystem services. [Methods] Based on remote sensing

meteorology

and ground-based observation data

the impacts of climate change on land cover

vegetation ecological quality

and net ecological productivity in Zhalong Nature Reserve were analyzed using the Carnegie-Ames-Stanford Approach (CASA) model

the Geostatistical Model of Soil Respiration (GSMSR) model

regression analysis

and other statistical methods. [Results] ① The main land cover type in Zhalong Nature Reserve was a water-bearing meadow

which accounted for 37.24% of the total area of the reserve

and was mainly located in the core area. This land cover type showed a downward trend over time in the area. ② Vegetation coverage showed a fluctuating growth pattern

with annual maximum vegetation coverage of 74.26%. ③ The vegetation ecological quality index showed an increasing trend and was characterized as being in the good level in 2019 and 2020. The average net ecological productivity (NEP) was 253.59 g/(m2·yr) (calculated in C)

and showed a spatial distribution pattern of higher in the east and lower in the west. ④ The average carbon fixation during the growing season was 5.694×105 tons/yr

and the oxygen release was 1.517×106 tons/yr

both of which showed upward trends. ⑤ The impacts of air temperature on ecological monitoring indicators were greater than the impacts of precipitation. [Conclusion] Zhalong Nature Reserve is the most ecologically fragile area in Nenjiang River basin

and its vegetation productivity is greatly affected by climate. Therefore

it is necessary to strengthen ecological protection and restoration.

关键词

Keywords

references

Burkett V, Kusler J. Climate change: potential impacts and interactions in wetlands of the Untied States [J]. Journal of the American Water Resources Association, 2000,36(2):313-320.

Anderson F E, Bergamaschi B, Sturtevant C, et al. Variation of energy and carbon fluxes from a restored temperate freshwater wetland and implications for carbon market verification protocols [J]. Journal of Geophysical Research (Biogeosciences), 2016,121(3):777-795.

Lyu Zhou, Genet H, He Yujie, et al. The role of environmental driving factors in historical and projected carbon dynamics of wetland ecosystems in Alaska [J]. Ecological Applications: a Publication of the Ecological Society of America, 2018,28(6):1377-1395.

Bernal B, Megonigal J P, Mozdzer T J. An invasive wetland grass primes deep soil carbon pools [J]. Global Change Biology, 2017,23(5):2104-2116.

殷志强,秦小光,刘嘉麒,等.扎龙湿地的形成背景及其生态环境意义[J].地理科学进展,2006,25(3):32-38.

孙中元,官静,苏爱锋,等.基于GIS的森林生态系统固碳释氧功能评估: 以烟台市为例[J].林业与生态科学,2020,35(4):405-413.

鲁绍伟,李少宁,刘逸菲,等.北京市退耕还林生态效益评估[J].生态学报,2021,41(15):6170-6181.

郑淼.滦河上游3种林分类型固碳释氧效益估算[J].水土保持研究,2019,26(4):363-366.

马琼芳,燕红,李伟,等.吉林省湿地生态系统固碳和释氧服务功能分析[J].生态环境学报,2021,30(12):2351-2359.

乔亚军,张慧,刘坤,等.呼伦贝尔林草交错带植被固碳释氧功能变化及其驱动力研究[J].水土保持研究,2022,29(5):164-170.

Zobitz J M, Moore D J P, Sacks W J, et al. Integration of process-based soil respiration models with whole-ecosystem CO

measurements [J]. Ecosystems, 2008,11(2):250-269.

Braswell B H, Sacks W J, Linder E, et al. Estimating diurnal to annual ecosystem parameters by synthesis of a carbon flux model with eddy covariance net ecosystem exchange observations [J]. Global Change Biology, 2005,11(2):335-355.

Parton W J, Hartman M, Ojima D, et al. DayCent and its land surface submodel: description and testing [J]. Global and Planetary Change, 1998,19(1/2/3/4):35-48.

Del Grosso S, Ojima D, Parton W, et al. Simulated effects of dryland cropping intensification on soil organic matter and greenhouse gas exchanges using the DayCent ecosystem model [J]. Environmental Pollution, 2002,116:S75-S83.

Li Changsheng, Frolking S, Frolking T A. A model of nitrous oxide evolution from soil driven by rainfall events: 1.model structure and sensitivity [J]. Journal of Geophysical Research (Atmospheres), 1992,97(D9):9759-9776.

Fumoto T, Kobayashi K, Li Changsheng, et al. Revising a process-based biogeochemistry model (DNDC) to simulate methane emission from rice paddy fields under various residue management and fertilizer regimes [J]. Global Change Biology, 2008,14(2):382-402.

Gilhespy S L, Anthony S, Cardenas L, et al. First 20 years of DNDC (DeNitrification DeComposition): model evolution [J]. Ecological Modelling, 2014,292:51-62.

Zhang Yu, Li Changsheng, Zhou Xiuji, et al. A simulation model linking crop growth and soil biogeochemistry for sustainable agriculture [J]. Ecological Modelling, 2002,151(1):75-108.

郭跃东,何岩,邓伟,等.扎龙国家自然湿地生态环境需水量研究[J].水土保持学报,2004,18(6):163-166.

Yu Chenglong, Liu Dan, Zhao Huiying. Evaluation of the carbon sequestration of Zhalong Wetland under climate change [J]. Journal of Geographical Sciences, 2021,31(7):938-964.

国家质量监督检验检疫总局,中国国家标准化管理委员会.草地气象监测评价方法: GB/T 34814—2017[S].北京:中国标准出版社,2018:10.

Yu Guirui, Zheng Zemei, Wang Qiufeng, et al. Spatiotemporal pattern of soil respiration of terrestrial ecosystems in China: the development of a geostatistical model and its simulation [J]. Environmental science & technology, 2010,44(16):6074-6080.

刘霞.寒温带冻土区森林—湿地生态系统土壤呼吸及其影响因子研究[D].黑龙江哈尔滨:东北林业大学,2015.

邓钰,柳小妮,闫瑞瑞,等.呼伦贝尔草甸草原土壤呼吸及其影响因子对不同放牧强度的响应[J].草业学报,2013,22(2):22-29.

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