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Land cover and latitude affect vegetation phenology determined from solar induced fluorescence across Ontario, Canada
International Journal of Applied Earth Observation and Geoinformation ( IF 7.5 ) Pub Date : 2022-09-29 , DOI: 10.1016/j.jag.2022.103036
Cheryl A. Rogers, Jing M. Chen

Land use decisions directly affect the terrestrial carbon balance by changing the quantity and type of vegetation present. However, such consequences are difficult for decisionmakers to account for in environmental impact assessments. Solar induced chlorophyll fluorescence (SIF) measured from satellite is strongly related to gross primary productivity of terrestrial vegetation and presents a new source of information from which to assess environmental impacts of land use decisions. We assess the usefulness of SIF measurements in accounting for changes in vegetation primary productivity due to land use change. We use a weighted double logistic regression based on the land cover mixture within SIF measurements from the TROPOspheric Monitoring Instrument (TROPOMI) to separate the phenology of the SIF signal by land cover for the region of Ontario, Canada. We use SIF integrated annually to determine, in relative units, the consequences of land use change on photosynthetic carbon uptake for the study region. Finally, we map GPP at a spatial resolution of 30 m across the province of Ontario using previously reported relationships between SIF and GPP. We find that SIF tracks expected biogeographical patterns of productivity: urban areas exhibit an earlier start of the growing season, lower SIF magnitude and later end of season than natural land cover classes, whereas croplands exhibit a later start of season. Patterns of phenology and SIF magnitude show land cover transitions from Broadleaf Deciduous Forests to croplands or urban environments to have the highest impacts on carbon uptake. Satellite-based SIF measurements are useful in exploring the geographic variation of vegetation productivity and can support inclusion of carbon accounting in environmental assessment at regional scale.



中文翻译:

土地覆盖和纬度影响由加拿大安大略省的太阳诱导荧光确定的植被物候

土地利用决策通过改变现有植被的数量和类型直接影响陆地碳平衡。然而,决策者很难在环境影响评估中考虑这些后果。从卫星测量的太阳诱导叶绿素荧光 ( SIF ) 与陆地植被的总初级生产力密切相关,并为评估土地利用决策的环境影响提供了新的信息来源。我们评估了SIF测量在解释土地利用变化引起的植被初级生产力变化方面的有用性。我们使用基于SIF内土地覆盖混合物的加权双逻辑回归对流层监测仪器 (TROPOMI) 的测量结果,通过加拿大安大略地区的土地覆盖来分离SIF信号的物候。我们使用每年整合的SIF,以相对单位确定土地利用变化对研究区域光合碳吸收的影响。最后,我们使用先前报道的SIFGPP之间的关系,以 30 m 的空间分辨率在安大略省绘制GPP。我们发现SIF跟踪预期的生产力生物地理模式:城市地区的生长季节开始较早,SIF较低与自然土地覆盖等级相比,其幅度和季节结束较晚,而农田的季节开始较晚。物候模式和SIF量级表明,从阔叶落叶林到农田或城市环境的土地覆盖转变对碳吸收的影响最大。基于卫星的SIF测量有助于探索植被生产力的地理变化,并且可以支持将碳核算纳入区域尺度的环境评估。

更新日期:2022-09-30
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