| “三生空间”视角下旅游地碳储量时空演变及其驱动机制：以丽江市为例 |
| 摘要点击 227 全文点击 1 投稿时间：2025-02-28 修订日期：2025-05-23 |
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| 中文关键词 三生空间（PLES） 旅游地碳储量 PLUS-InVEST模型 驱动机制 多情景模拟 |
| 英文关键词 production-living-ecological space （PLES） carbon stock in tourism PLUS- InVEST model driving mechanism multi-scenario simulation |
| DOI 10.13227/j.hjkx.202502251 |
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| 中文摘要 |
| 旅游发展驱动的产业转型、城镇扩张与生态空间挤压对区域碳储量产生复杂影响，探究旅游地“三生空间”转型与碳储量演变规律及其驱动机制，对区域可持续发展具有重要意义. 以丽江市为例，基于2000~2020年土地利用数据构建“三生空间”分类体系，耦合PLUS- InVEST模型分析2000~2020年“三生”用地和碳储量时空变化特征，运用最优参数地理探测器（OPGD）揭示碳储量空间分异驱动力，并模拟自然发展、生产旅游发展、生态旅游发展和“三生”旅游综合发展情景下的碳储量变化. 结果表明：①2000~2020年丽江市农业生产用地和草地生态用地面积不断减少，城乡生活用地面积大量增加. ②丽江市碳储量呈先增后减趋势，从2000年的3 029.54×105 t减少至2020年的3 028.85×105 t，2010年达到峰值3 035.31×105 t，农业生产用地转出是碳储量减少的主要原因. ③单因子探测下生境质量（q=0.883 9）对碳储量变化影响最大，同时生境质量与NDVI的交互作用最强. ④2030年“三生”旅游综合发展情景下碳储量增加0.8×105 t，有效缓解了因旅游发展而导致的碳储量流失问题. 研究结果可为同类型旅游地国土空间规划及提升陆地生态系统碳储量提供科学参考. |
| 英文摘要 |
| Tourism development-driven industrial transformation， urban expansion and ecological space compression exert complex impacts on regional carbon storage. Investigating the transformation of “production-living-ecological space” （PLES） and carbon storage evolution patterns with their driving mechanisms in tourist destinations holds significant implications for regional sustainable development. Taking Lijiang City as a case study， this research established a “PLES” classification system based on 2000-2020 land use data. Through coupling PLUS-InVEST models， spatiotemporal characteristics of “PLES” and carbon storage during 2000-2020 were analyzed. The optimal parameters-based geographical detector （OPGD） was employed to identify driving forces of carbon storage spatial differentiation， with simulations conducted for carbon storage changes under four scenarios： natural development， production-oriented tourism development， eco-tourism development， and integrated “PLES” tourism development. The results show that： ① From 2000 to 2020， Lijiang witnessed continuous decrease in agricultural production land and grassland ecological space， while urban-rural living space expanded substantially. ② Carbon storage exhibited an “increase-decrease” trend， declining from 3 029.54×105 t in 2000 to 3 028.85×105 t in 2020， peaking at 3 035.31×105 t in 2010， with agricultural land conversion being the primary contributor to carbon loss. ③ Single-factor detection identified habitat quality （q=0.883 9） as the most influential determinant， while the strongest interaction effect emerged between habitat quality and NDVI. ④ Under the integrated “PLES” tourism development scenario for 2030， carbon storage increased by 0.8×105 t， effectively mitigating carbon depletion induced by tourism expansion. These findings provide scientific references for territorial spatial planning and terrestrial ecosystem carbon enhancement in similar tourist destinations. |
