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生态系统服务权衡与协同关系及驱动力——以江苏省太湖流域为例
引用本文:刘洋,毕军,吕建树.生态系统服务权衡与协同关系及驱动力——以江苏省太湖流域为例[J].生态学报,2019,39(19):7067-7078.
作者姓名:刘洋  毕军  吕建树
作者单位:济南大学商学院, 济南 250002;山东龙山绿色经济研究中心, 济南 250002,南京大学环境学院, 南京 210023,山东师范大学地理与环境学院, 济南 250014
基金项目:国家自然科学基金项目(41701604,41601549);山东省自然科学基金(ZR2017BD003,ZR2016DQ11);国家科技部重大水专项(2012ZX07506-001-05);济南大学博士基金项目(16010023)
摘    要:生态系统服务权衡与协同关系研究是生态系统综合管理的前提。以太湖流域江苏省为例,通过空间显示的生物物理模型计算氮、磷净化、水量供给及土壤保持4种服务指标,借助GIS空间分析表征氮、磷指标与其他指标之间关系,并利用多元Logistic模型定量识别主导驱动力。结果表明:2000到2010年间,各指标的单位面积年均值呈现不同程度的变化,氮输出指标先增加后略下降,磷输出指标逐渐增加,水量供给先下降后上升,土壤保持逐渐下降,并且服务指标的空间格局显著差异。氮、磷净化与水量供给关系在空间上表现为广泛分布的权衡及协同变化区,但与土壤保持的关系不明显,氮、磷之间主要为协同变化关系。氮净化与水量供给的正向主导驱动力为城镇建设用地和农村居民点密度,而植被覆盖度和水网密度具有显著负作用。氮、磷关系的主要影响因素为植被覆盖度,其次是耕地及林地比例,且均起到正向促进作用。主导驱动力识别有助于明确生态系统服务间关系的作用机制,为区域环境管理及生态保护规划提供科学依据。

关 键 词:生态系统服务  权衡与协同关系  驱动力  太湖流域
收稿时间:2018/9/16 0:00:00
修稿时间:2019/4/23 0:00:00

Trade-off and synergy relationships of ecosystem services and the driving forces: a case study of the Taihu Basin, Jiangsu Province
Institution:Business School, University of Jinan, Jinan 250002, China;Shandong Longshan Green Economic Research Center, Jinan 250002, China,School of the Environment, Nanjing University, Nanjing 210023, China and School of Geography and Environment, Shandong Normal University, Jinan 250014, China
Abstract:There are trade-off and synergy relationships among multiple ecosystem services under the influence of social, economic, and environmental factors. Identifying the relationships and clarifying their spatial and temporal features and driving forces can enhance multiple ecosystem services and promote integrated ecosystem management. However, the research is still in its infancy. The relationships of ecosystem services cannot be effectively revealed due to a lack of quantitative methods and data samples. Moreover, most studies on driving mechanisms are limited to one or several specific factors, while short of comprehensive factor analysis and dominant factor identification. In this study, the Taihu Basin in Jiangsu Province was taken as an example due to its special social-economic status, as well as notable nonpoint source pollution problem. Nitrogen purification, phosphorus purification, water supply, and soil retention services were selected according to the ecological context of the study area. Spatially explicit biophysical models and empirical statistical models were used to quantify and map indicators of four ecosystem services. The trade-off and synergy relationships of ecosystem services were expressed by GIS spatial analysis methods. Thirty-one driving forces were chosen in view of data availability and expert knowledge. Multiple logistic regression models were applied to identify the dominant driving forces based on the spatial quantification of ecosystem service relationships and driving forces. The results indicate that 1) from 2000 to 2010, the annual average nitrogen export per area increased first and then decreased slightly, the annual average phosphorus export per area gradually increased, the annual average water supply service per area decreased first and then increased, and the annual average soil retention service per area gradually decreased. There were distinct differences in the spatial patterns of the four ecosystem services. 2) Both the same and opposite changed areas of the relationship between nutrient exports and water supply were widely distributed, which indicated that the trade-off and synergy relationships between the nutrient purification services and water supply service were conspicuous. While the widest distribution area of the relationship between nutrient exports and soil retention services was showed that their relationship were not distinct. The relationship between nitrogen and phosphorus exports was showed mainly to be a positively changed area, which indicated a synergy relationship between these two services. 3) The dominant positive driving forces of relationship between nitrogen purification and water supply services were densities of urban construction and rural residential lands, in which an increment of 1 hm2/km2 would promote the occurrence probability of this relationship to enhance by 29.100 and 10.282 times, respectively. Both the vegetation fraction and water network density had significant negative effects on the relationship between nitrogen purification and water supply services. The main influence factors of the relationship between nitrogen and phosphorus services were vegetation fraction, followed by the proportions of cultivated and forest lands; these factors mostly played positive roles.
Keywords:ecosystem service  trade-off and synergy relationship  driving force  Taihu Basin
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