| 基于InVEST模型的小兴安岭生态系统服务功能权衡/协同效应 |
| 摘要点击 152 全文点击 10 投稿时间：2024-05-30 修订日期：2024-07-31 |
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| 中文关键词 CASA模型 InVEST模型 生态系统服务 权衡/协同 驱动因素分析 小兴安岭地区 |
| 英文关键词 CASA model InVEST model ecosystem services trade-offs/synergies driver analysis Xiaoxing'an Mountains Region |
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| 中文摘要 |
| 理解和捕捉小兴安岭地区生态系统服务的变化动态，揭示不同生态系统服务背后的驱动因素，可为制定有效的区域管理政策提供科学依据. 以小兴安岭地区为主要研究对象，基于CASA模型和InVEST模型量化水源涵养、土壤保持、生境质量、碳储存和娱乐旅游这5种主要的生态系统服务功能，利用空间叠置法等分析研究区生态系统服务间权衡/协同关系的时空异质性，基于最优参数的地理探测器模型，探究影响生态系统服务的驱动因素. 结果表明：①时间上，1990~2020年研究区水源涵养服务呈增加的趋势，提高了42%；土壤保持量下降了4×106 t；娱乐旅游服务呈下降趋势；平均NPP（以C计）为754.03 g·（m2·a）-1，呈现先上升后下降的趋势；生境质量服务基本不变，整体较好. ②整体上，研究区东南部生态系统服务关系以高协同为主，研究区中部及西北部地区生态系统服务关系以弱权衡为主导；两两生态系统服务间以协同为主，各生态系统服务相互促进. ③自然因素是影响研究区生态系统服务及其作用关系的主导因素. 水源涵养服务中，降水量是主导因素；土壤保持服务中，地形起伏是主导因素；生境质量服务中，人口密度是主导因素；碳储存服务中，高程是主导因素；娱乐旅游服务中，降水量、到路的距离与年平均气温的交互作用对其影响较高. 掌握小兴安岭地区主要生态系统服务的类型，了解生态系统服务分布的时空异质性及驱动因素，未来应结合不同区域生态系统服务功能特点制定差异化功能优化策略. |
| 英文摘要 |
| The aim of this study was to understand and monitor the dynamic shifts in ecosystem services within the Xiaoxing'an Mountains Region， uncover the driving factors for these diverse ecosystem services， and offer a scientific foundation for devising effective regional management policies. Focusing on the Xiaoxing'an Mountains as the primary subject of study， this research employs the CASA and InVEST models to quantify five key ecosystem service functions： water conservation， soil conservation， habitat quality， carbon storage， and recreational tourism. The spatial overlay method is employed to analyze the spatiotemporal heterogeneity of the trade-off/synergy relationships among ecosystem services within the study area. Utilizing the optimal parameter-based geographic detector model， this study investigates the driving factors that influence ecosystem services. The results indicate that： ① Over time， water source conservation services in the study area saw an increase from 1990 to 2020， rising by 42%. The amount of soil conservation decreased by 4 million tons， and recreational tourism services were on a downward trend. The average net primary productivity （NPP） （in carbon units） was 754.03 g·（m2·a）-1， exhibiting an initial increase followed by a decline. Habitat quality services remained largely unchanged and were generally in good condition. ② Overall， the ecosystem service relationships in the southeastern part of the study area were primarily characterized by high synergy， whereas those in the central and northwestern parts were primarily marked by weak trade-offs. Interactions between pairs of ecosystem services were predominantly synergistic， with each service enhancing the others. ③ Natural factors were the primary drivers influencing the ecosystem services and their interactions within the study area. In the water source conservation service， precipitation was the primary factor； in soil conservation， topographic relief was the primary factor； in habitat quality services， population density was the primary factor； in carbon storage， elevation was the primary factor； and in entertainment and tourism services， the interaction between precipitation， distance to the road， and annual average temperature had a significant impact. The results of this study help to grasp the main types of ecosystem services in the Xiaoxing'an Mountains Region， comprehend the spatiotemporal heterogeneity and driving factors of the distribution of ecosystem services， and in the future， devise differentiated functional optimization strategies in line with the characteristics of ecosystem service functions in different regions. |
