Abstract
Zoigê wetland is located in the southeastern edge of the Qinghai–Tibet Plateau, in recent years, the wetland local area grassland productivity decline, land sanding, and other serious degradation phenomenon. Using remote sensing and hydrology data combined with the basic principles of vegetation ecology, we applied the Carnegie–Ames–Stanford Approach (CASA) model and Boreal Ecosystem Productivity Simulator (BEPS) model to invert the net primary productivity (NPP) of the Zoigê wetland ecosystem and then identified the deficiencies of the two models. In this article, we tested the factors that influence the light use efficiency of vegetation and considered the effects of livestock grazing on grassland ecosystems and wetland moisture content on vegetation growth. A new grazing coupled remote sensing process (GCRSP) model suitable for the productivity of the Zoigê wetland was proposed. Field survey data were combined with the CASA model, BEPS model, and Moderate Resolution Imaging Spectroradiometer (MODIS) NPP product, and the accuracy of the proposed GCRSP model was analyzed at regional level. The results show that after fitting the field measurements to the GCRSP model, the fitted variance between the model and the measured data is 0.84, which is larger than the variance between the other two methods and the measured data. In addition, the variance of the linear fit between the GCRSP model and the MODIS NPP product was 0.11, which was relatively small, indicating that the regional-scale GCRSP model was relatively accurate for the Zoigê wetland NPP. Therefore, this model was suitable for the inversion of regional-scale NPP. The results indicated that the average grassland NPP of the Zoigê wetland was 487.57 gC/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , and larger NPP values were distributed near the rivers and wetland and smaller NPP values were distributed in the mountain glacier and desertified land areas. These results were consistent with the regional characteristics. This article provided technical and theoretical support for the desertification management of the Zoigê grassland and a new method for studying vegetation NPP, and the findings could help improve the accuracy of regional-scale vegetation NPP estimates.
Highlights
Revised items in response to reviewers' comments: # Anonymous reviewers 1: 1. Replace ”gc/m2” with gC/m2throughout the text
Term model coupling: model coupling typically refers to the chaining of submodels to form a larger model
I find the term model coupling unsuitable in this context
Summary
Manuscript Number: JSTARS-2021-00646 Title: Evaluation and validation of the net primary productivity of the Zoigê wetland based on Grazing Coupled Remote Sensing Process model. We coupled the CASA model with the BEPS model under regional grazing conditions to develop a new grazing coupled remote sensing process (GCRSP) model to estimate regional grassland net primary productivity. Compared with the BEPS model before the fusion, we reduced the number of complex parameters to be obtained, and added the grazing factor based on mixed image elements while coupling with the CASA model, which made the model look more "complex". Data Response: Thank you for pointing this out We have corrected it and checked it carefully. We have added a description of the spatial distribution of grassland types and sampling design for this study. It is not clear what exactly the study area was Was it the whole part of the map that is covered by the elevation data? The following table shows specific data from the Statistical Yearbook for each city and county in the study area
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
