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龙脊稻作梯田生态系统服务时空演变及权衡协同关系

Spatiotemporal dynamics and trade-off/synergy relationships of ecosystem services in the Longji Rice Terraces, Guangxi, China

  • 摘要: 稻作梯田自古以来就为人类提供多种生态系统服务,但基于生物物理模型的多服务量化及权衡协同研究仍较薄弱。以广西龙胜各族自治县龙脊镇为研究区,基于Sentinel-2影像的10 m分辨率逐年土地利用/土地覆盖数据,采用InVEST模型的4个子模块评估2017—2022年生境质量(HQ)、土壤保持(SC)、产水量(WY)和碳储量(CS)4类生态系统服务,结合Spearman相关系数识别服务间权衡与协同关系,并利用生产可能性边界(PPF)曲线界定权衡服务的最优调控区间。研究结果表明,2017—2022年,碳储量呈稳步上升趋势(增幅2.8%),生境质量、土壤保持和产水量分别下降1.02%、28.84%和4.18%,其中土壤保持在2017—2020年呈“断崖式”下降(降幅45.47%),与同期旅游业萎缩导致梯田管护减弱密切相关;空间格局上,生境质量和碳储量呈“全局高、局部低”特征,产水量呈“中部低、四周高”格局,土壤保持受地形切割影响呈高低值交错分布;权衡协同关系上,4类服务之间以协同为主,表现为1组权衡、4组协同和1组不稳定关系;碳储量与产水量为相关性最强的权衡对(R均值=−0.410),生境质量与碳储量由短期权衡转为协同;PPF分析显示,产水量归一化值稳定在0.78~0.92,碳储量受产水量约束显著:产水量归一化值约0.92(约1 285 mm/a)时碳储量趋近0,约0.78(约1 147 mm/a)时碳储量趋近最大值,表明小幅牺牲产水量可显著提升碳储量。研究结果可为龙脊梯田土壤保持维稳、水资源与碳汇平衡调控、生境保护与适度旅游开发提供空间量化依据,并为区域碳达峰与碳中和目标提供决策参考。

     

    Abstract: Rice terraces have long provided multiple ecosystem services (ESs), yet quantitative assessments of their trade-offs and synergies using biophysical models remain limited, particularly in heritage agricultural landscapes. However, these landscapes face mounting pressures from climate change, rural depopulation, and inadequate maintenance of terrace infrastructure, threatening both their ecological functions and cultural value—a concern underscored by China’s seven GIAHS-inscribed southern mountain rice terrace systems. This study focused on the Longji Rice Terraces (Longji Township), Longsheng Multi-ethnic Autonomous County, Guangxi, China (232.7 km2; elevation 251-1 906 m), a site designated as both a GIAHS site and a National Wetland Park. Using annual land use and land cover (LULC) data at 10 m resolution derived from Sentinel-2 imagery, we assessed four ES categories for 2017—2022 with corresponding InVEST sub-modules: Habitat Quality (HQ), Sediment Delivery Ratio for Soil Conservation (SC), Annual Water Yield (WY), and Carbon Storage (CS). Spearman correlation coefficients identified trade-off and synergy relationships among services, and Production Possibility Frontier (PPF) curves delineated optimal regulation intervals for service pairs exhibiting trade-offs. Results revealed four key findings. First, regarding temporal trends, CS increased steadily (2.8%), whereas HQ, SC, and WY declined by 1.02%, 28.84%, and 4.18%, respectively. Notably, SC underwent a precipitous 45.47% decline during 2017—2020, closely linked to weakened terrace maintenance resulting from tourism contraction over the same period. Second, regarding spatial patterns, HQ and CS displayed a ‘globally high, locally low’ distribution; WY exhibited lower values in the central area and higher values in surrounding areas; and SC showed an interlocking mosaic of high and low values driven by topographic dissection. Third, synergies predominated among the four services, manifesting as one trade-off pair, four synergy pairs, and one unstable relationship. The CS-WY pair represented the strongest trade-off (mean R=−0.41), while the HQ-CS relationship shifted from a short-term trade-off to a synergy over the study period. Fourth, PPF analysis indicated that normalized WY values remained stable within 0.78-0.92, with CS substantially constrained by WY: when normalized WY approached approximately 0.92 (corresponding to roughly 1 285 mm/a), normalized CS tended toward zero, whereas when normalized WY fell to approximately 0.78 (roughly 1 147 mm/a), CS approached its maximum. This finding suggests that modest reductions in water yield can yield substantial gains in carbon storage. These results provide spatially explicit, quantitative evidence to support stabilization of soil conservation on the Longji terraces, balanced regulation of water resources and carbon sinks, and coordination of habitat protection with moderate tourism development, while also offering decision-support references for regional carbon peaking and carbon neutrality goals. Specifically, we recommend strengthening routine terrace maintenance to stabilize soil conservation capacity, expanding reservoir storage to buffer the spatiotemporal unevenness of water supply while simultaneously mitigating the WY-CS trade-off, coordinating habitat protection with moderate tourism development, and enhancing adaptive capacity to extreme climate events. Future research should integrate multi-source remote sensing with long-term field observations to improve model accuracy and extend the temporal scope of ecosystem service assessments in heritage terrace landscapes.

     

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