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Wageningen University (2020)

Assessing Utilization Intensity of Rangelands Based on Remote Sensing-Derived Carrying Capacity Models and Stocking Density :

Woude, Sietse van der

Titre : Assessing Utilization Intensity of Rangelands Based on Remote Sensing-Derived Carrying Capacity Models and Stocking Density : A case study in Bulgan, Mongolia

Auteur : Woude, Sietse van der

Université de soutenance : Wageningen University

Grade : Master of Science (MS) Geo-information Science and Remote Sensing 2020

Résumé
Rangelands cover a large proportion of the earth’s surface, upon which a great deal of biodiversity, but also livelihoods of people depend. Rangeland management on varying scales has been able to benefit from the implementation of remote-sensing based information. However, the interests of different scales of rangeland management, from local to international, have differing requirements for remote-sensing based data in terms of cost, accuracy and speed in order to asses rangeland utilization intensity. In thisresearch, the accuracy of a MODIS Net Primary Productivity-based model (process-based model) developed for Azerbaijan for aboveground carrying capacity in rangelands was compared to that of locally-trained a Landsat 8 surface reflectance-based empirical (Cubist) model. These models were coupled with stocking density estimates derived from summer herder locations to identify areas in which overgrazing had occurred. This was performed for the study area of Bulgan province, Mongolia. It was shown that the performance of the process-based model when applied to Bulgan resulted in low accuracy, however the model performed comparably to the model developed in a previous study for Azerbeijan. Despite this, the mean of the biomass predictions differed significantly from the mean of the observed values (p < 0.05). The empirical model delivered better performance than the process-based model and did not result in significant differences between the means of predictions and observed biomass values (p > 0.05). Due to overprediction of biomass by the process-based model, overgrazing was not estimated to be as extensive by the processbased model as by the empirical model. However, the process-based model and validation strategies could be further fine-tuned until the accuracy of an NPP-based model could be comparable to that of a strictly empirical model and applicable for use in inter-regional or international comparison of overgrazing levels

Mots Clés : rangeland, biomass, overgrazing, forage, degradation, Landsat, Modis

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Page publiée le 16 avril 2021