| 重庆市功能区碳源/汇时空演变及其影响因素 |
| 摘要点击 1634 全文点击 21 投稿时间：2025-01-21 修订日期：2025-05-21 |
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| 中文关键词 净生态系统生产力（NEP） 时空演变 影响因素 地理探测器 时空地理加权回归模型（GTWR） 重庆市功能区 |
| 英文关键词 net ecosystem productivity（NEP） spatio-temporal evolution influencing factors Geodetector geographically and temporally weighted regression model（GTWR） Chongqing functional area |
| DOI 10.13227/j.hjkx.202501232 |
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| 中文摘要 |
| 重庆市作为长江重要的生态屏障，其净生态系统生产力（NEP）的时空演变及驱动机制对区域生态保护及可持续发展具有重要意义. 利用CASA模型和土壤微生物呼吸模型，结合气候数据、植被数据和人为数据等多源数据估算重庆市2000~2020年区域净生态系统生产力. 采用趋势分析、热点分析、Hurst指数、地理探测器和时空地理加权回归模型等方法，分析NEP时空变化特征及影响因素的作用机制. 结果表明：①2000~2020年重庆市NEP（以C计）均值为578.68 g·（m2·a）-1；城市发展区和都市功能区为NEP低值区和冷点区，渝东北区和渝东南区为NEP高值区和热点区. ②研究区整体变化速率为5.66 g·（m2·a）-1，重庆市及各功能区超过86.52%的区域NEP呈增加趋势，但未来NEP存在减少的可能性. ③高程、气温、降水和土地利用类型对NEP的解释力较强，且各因素交互作用解释力均有所提高. 各功能区影响因素存在时空异质性；城市发展区、都市功能区和渝东北区主要受高程、气温和降水的正向作用；渝东南区主要受高程和气温的负向作用. 研究结果将为各功能区可持续发展、区域生态保护和“双碳目标”的实现提供科学依据. |
| 英文摘要 |
| As an important ecological barrier of the Yangtze River， Chongqing's spatio-temporal evolution and driving mechanism of net ecosystem productivity （NEP） are of great significance for regional ecological protection and sustainable development. Using the CASA model and soil microbial respiration model， combined with multi-source data such as climate data， vegetation data， and social data， the regional net ecosystem productivity of Chongqing from 2000 to 2020 was estimated. Trend analysis， hotspot analysis， Hurst index， geographical detector， and spatio-temporal geographically weighted regression model were used to analyze the spatio-temporal variation characteristics of NEP and the mechanism of influencing factors. The results showed that： ① The mean value of NEP （C） in Chongqing from 2000 to 2020 was 578.68 g·（m2·a）-1. The urban development area and the urban functional area were the low value area and the cold spot area of NEP， respectively， and the northeast area and the southeast area of Chongqing were the high value area and the hot spot area of NEP. ② The overall change rate of the study area was 5.66 g·（m2·a）-1. The NEP of Chongqing and more than 86.52% of the functional areas showed an increasing trend， but there was a possibility of decreasing NEP in the future. ③ The explanatory power of elevation， temperature， precipitation， and land use type on NEP was strong， and the explanatory power of each factor interaction was improved. The influencing factors of each functional area had spatial and temporal heterogeneity. The urban development area， urban functional area， and northeastern Chongqing were mainly affected by the positive effects of elevation， temperature， and precipitation. The southeast of Chongqing was mainly affected by the negative effects of elevation and temperature. The research results will provide a scientific basis for the sustainable development of each functional area， regional ecological protection， and the realization of the “double carbon target.” |
