Ecosystem Service Value Estimation of Paddy Field Ecosystems Based on Multi-Source Remote Sensing Data
نویسندگان
چکیده
A paddy field ecosystem (PFE) is an important component of agricultural land and also a special artificial wetland with extremely high value. Taking Tianjin (a municipality city in China) as the research area using multi-source remote sensing data, we improved accounting framework service value (ESV) PFEs calibration model parameters. The ESV was mapped at medium-high resolution fine-grain provincial scale. results showed that: (1) net 2019 RMB 29.68 × 108, for 0.21% GDP. positive 35.53 negative 5.84 average per unit 5.47 104/ha; (2) proportion PFE, climate regulation (61.27%) greater than carbon fixation oxygen release (15.29%), which primary products supply (8.08%). production far lower their ESV; (3) total Baodi District 16.85 56.77% Tianjin’s ESV, 5.72 104/ha, both were higher other districts; (4) pixel-based hot spots analysis that number (high-value ESV) cold (low-value reached 98.00% (hot 56.9%, 41.1%) significant cluster distribution. mostly distributed (37.8%) Ninghe (17.2%). can support development, improve countermeasures according to local conditions, provide theoretical regional use planning, ecological compensation policy formulation sustainable development. Our methodology be used assess impact change on ESV.
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ژورنال
عنوان ژورنال: Sustainability
سال: 2022
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su14159466