[1]NING Jing,SHI Dongwei,ZHOU Siyu,et al.Spatial and Temporal Patterns of Ecosystem Services and Trade-off Synergistic Relationships in Bin County, Heilongjiang Province[J].Research of Soil and Water Conservation,2022,29(05):293-300.
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Spatial and Temporal Patterns of Ecosystem Services and Trade-off Synergistic Relationships in Bin County, Heilongjiang Province
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
29
Number of periods:
2022 05
Page number:
293-300
Column:
Public date:
2022-08-20
- Title:
- Spatial and Temporal Patterns of Ecosystem Services and Trade-off Synergistic Relationships in Bin County, Heilongjiang Province
- Keywords:
- ecosystem services; spatial pattern; trade-off synergy; Bin County of Heilongjiang Province
- CLC:
- X171.1
- DOI:
- -
- Abstract:
- The northeast black soil region is an essential ecological zone and a major grain-producing area in China. The continuous reclamation and utilization for many years has aggravated the deterioration of the ecological environment in this region, so it is of great relevance to inquire into the spatial and temporal differentiation characteristics of ecosystem services and synergistic trade-offs in the black soil region for the coordinated socio-economic-ecological development of this region. Taking Bin County as the study area, we quantitatively measured the spatiotemporal patterns and trade-offs and synergistic relationships of three ecosystem services, namely water production, soil conservation and carbon fixation from 2000 to 2020 in the county using the InVEST, RUSLE, CASA model, R language and GeoDA software. The findings indicated that:(1)the temporal variation of water production showed an increasing trend, while carbon fixation and soil conservation showed a tendency to decrease and then increase;(2)the spatial distribution showed that the high value of water production service presented a decreasing trend from the central part to the surrounding area, while carbon fixation and soil conservation services presented a spatial distribution pattern of high in the south and low in the east;(3)the trade-off synergistic relationship showed that the synergistic relationship was the dominant relationship among ecosystem services in Bin County from 2000 to 2020; numerically, the synergistic relationship of the three ecosystem services continued to increase, which was evidenced by the increase of correlation coefficient and Moran's I index; spatially, the positive and negative correlation clustering was obvious; spatially, the positive and negative correlations clustered significantly, and the distribution of trade-off synergistic relationships was spatially divergent. In summary, changes in ecosystem services in Bin County are on an upward trend, with stronger ecosystem services in the southern region, and synergistic development of ecosystem services should be promoted spatially in the future.
- References:
-
[1] 傅伯杰,张立伟.土地利用变化与生态系统服务:概念,方法与进展[J].地理科学进展,2014,33(4):441-446.
[2] Boyd J, Banzhaf S. What are ecosystem services:The need for standardized environmental accounting units[J]. Ecological Economics, 2007,63(2/3):616-626.
[3] Bennett E M, Peterson G D, Gordon L J. Understanding relationships among multiple ecosystem services[J]. Ecology Letters, 2009,12(12):1394-1404.
[4] 张静静,赵天旭,梁丹.伏牛山地区森林生态系统服务空间差异分析[J].生态环境学报,2020,29(7):1285-1291.
[5] 李双成,张才玉,刘金龙,等.生态系统服务权衡与协同研究进展及地理学研究议题[J].地理研究,2013,32(8):1379-1390.
[6] Paul R J, Douglas B T, Bennett E M, et al. Trade-offs across Space, Time, and Ecosystem Services[J]. ECOLOGY AND SOCIETY, 2005, 11(1):709-723.
[7] 刘宝元,张甘霖,谢云,等.东北黑土区和东北典型黑土区的范围与划界[J].科学通报,2021,66(1):96-106.
[8] 戴尔阜,王晓莉,朱建佳,等.生态系统服务权衡/协同研究进展与趋势展望[J].地球科学进展,2015,30(11):1250-1259.
[9] 潘竟虎,李真.干旱内陆河流域生态系统服务空间权衡与协同作用分析[J].农业工程学报,2017,33(17):280-289.
[10] Howe C, Suich H, Vira B, et al. Creating win-wins from trade-offs?Ecosystem services for human well-being: A meta-analysis of ecosystem service trade-offs and synergies in the real world[J]. Global Environmental Change, 2014,28:263-275.
[11] Karimi J D, Corstanje R, Harris J A. Bundling ecosystem services at a high resolution in the UK:trade-offs and synergies in urban landscapes[J]. Landscape Ecology, 2021,36(6):1817-1835.
[12] 聂名萱,黄思华,濮励杰,等.快速城镇化地区生态系统服务的时空动态及权衡与协同分析:以苏锡常地区为例[J].长江流域资源与环境,2021,30(5):1088-1099.
[13] Feng Z, Jin X, Chen T, et al. Understanding trade-offs and synergies of ecosystem services to support the decision-making in the Beijing-Tianjin-Hebei region[J]. Land Use Policy, 2021,106:105446.
[14] 陈心盟,王晓峰,冯晓明,等.青藏高原生态系统服务权衡与协同关系[J].地理研究,2021,40(1):18-34.
[15] 孟浩斌,周启刚,李明慧,等.三峡库区生态系统服务时空变化及权衡与协同关系研究[J].生态与农村环境学报,2021,37(5):566-575.
[16] 崔景轩,李秀芬,郑海峰,等.典型气候条件下东北地区生态系统水源涵养功能特征[J].生态学报,2019,39(9):3026-3038.
[17] 黄麟,刘纪远,邵全琴,等.1990—2030年中国主要陆地生态系统碳固定服务时空变化[J].生态学报,2016,36(13):3891-3902.
[18] 戴尔阜,王晓莉,朱建佳,等.生态系统服务权衡:方法、模型与研究框架[J].地理研究,2016,35(6):1005-1016.
[19] 吴炜,项文化,勾蒙蒙,等.中亚热带3种次生林生态系统服务权衡与协同[J].森林与环境学报,2019,39(3):256-264.
[20] 宁静,杨子,姜涛,等.东北黑土区不同垄向耕地沟蚀与地形耦合规律[J].水土保持研究,2016,23(3):29-36.
[21] 王晓峰,程昌武,尹礼唱,等.新疆生态系统服务时空变化及权衡协同关系[J].生态学杂志,2020,39(3):990-1000.
[22] 张翀,任志远.陕北地区土地生态系统固碳释氧价值量动态测评[J].地理研究,2015,34(8):1522-1534.
[23] Li T, Lü Y, Fu B, et al. Bundling ecosystem services for detecting their interactions driven by large-scale vegetation restoration: Enhanced services while depressed synergies[J]. Ecological Indicators, 2019, 99: 332-342.
[24] 蒙吉军,郭力仁,朱丽君,等.黑河中游耕地多功能性时空变化及权衡[J].应用基础与工程科学学报,2021,29(4):823-835.
[25] 刘洋.基于InVEST模型的疏勒河流域生态系统服务功能时空演变[D].兰州:甘肃农业大学,2020.
[26] Fang J, Yu G, Liu L, et al. Climate change, human impacts, and carbon sequestration in China[J]. Proceedings of the National Academy of Sciences, 2018,115(16):4015-4020.
[27] 王川,刘春芳,乌亚汗,等.黄土丘陵区生态系统服务空间格局及权衡与协同关系:以榆中县为例[J].生态学杂志,2019,38(2):521-531.
[28] 钱彩云,巩杰,张金茜,等.甘肃白龙江流域生态系统服务变化及权衡与协同关系[J].地理学报,2018,73(5):868-879.
[29] 郑德凤,郝帅,吕乐婷,等.三江源国家公园生态系统服务时空变化及权衡—协同关系[J].地理研究,2020,39(1):64-78.
[30] 祁宁,赵君,杨延征,等.基于服务簇的东北地区生态系统服务权衡与协同[J].生态学报,2020,40(9):2827-2837.
[31] 戴路炜,唐海萍,张钦,等.北方农牧交错带多伦县生态系统服务权衡与协同关系研究[J].生态学报,2020,40(9):2863-2876.
[32] 林世伟.“三江并流”区生态系统服务空间权衡与协同关系研究[D].昆明:云南大学,2016.
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Last Update:
2022-08-20