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Therefore, NDVI and LUCC have become critical indicators of changes in vegetation NPP in Yangzhou in recent years. As compared to the affect of one driving component, the conversation of a number of components was revealed to exert a much better outcome. Precisely, the conversation between NDVI and LUCC in Yangzhou had the strongest effect, with an explanatory ability of 77.seventy eight%. The interaction in between RAD and TEM experienced the weakest affect, with an explanatory ability of only four.81%. These benefits prompt that the principle factors influencing vegetation NPP assorted in several areas. In regions with increased amounts of urbanization, NPP variation has actually been proven to become primarily driven by the twin interaction of land-use modify and vegetation go over reduction [forty five,49]. In distant and mountainous places much less influenced by anthropogenic functions, the interaction between climate and ecological factors constitutes the most crucial driving power [ten,52,53]. Studying the dissimilarities in dominant driving variables in numerous locations can help supervisors in generating targeted scientific selections.
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In the future, the NPP of vegetation together Gaoyou Lake and the Grand Canal will strengthen substantially. On the whole, the values of the parameter in Yangzhou Town are predicted to drop within the Continuing Drop (47.seventy one%) and Remained Steady (forty one.fifteen%) classes. The most crucial driving aspects of NPP variation in Yangzhou had been NDVI (One of the ecological factors) plus the LUCC (Among the many social elements). Climate components performed a comparatively slight position, and also the conversation of multiple driving components exerted a more considerable affect than solitary elements. These findings indicated that it is necessary to look at the affect of multiple things in the analysis and prediction of foreseeable future NPP trends in rapidly creating coastal parts, identify the dominant variables driving these traits, view it and supply theoretical exploration and simple foundation for reaching the “twin carbon” targets from the Yangzhou location.
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The 500 × 500 m precision MODIS17A3 NPP solution dataset for that 2000–2019 time period, which was produced by NASA (), was accustomed to validate the accuracy of the inversion success obtained within the enhanced CASA product and make comparisons. The information ended up extracted to the exact same dimensions based on the mask number of the exploration location, set by a one km × one km fishing Internet, and extracted to your improved CASA design estimated NPP knowledge and MODIS17A3 NPP data working with fishing-Internet grid factors. Simultaneously, a result of the abnormal values of MODIS17A3 NPP solution info from the water regions and impermeable pavement, this informative article carried out correlation, RMSE, and bias analysis around the remaining 2192 pixel values after excluding the abnormal info.
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