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Understanding the spatiotemporal changes in landscape patterns and their driving factors in Inner Mongolia can benefit land use and ecological environment management in this region. This study used the county landscape index and multiple regression analysis to reveal the temporal and spatial evolutions of landscape patterns and their driving factors in Inner Mongolia from 2000 to 2015 with multitemporal land use data. The results showed that (1) grassland was the main landscape type in Inner Mongolia. Grassland and unused land decreased, and cropland expanded from 2000 to 2015. Grassland degradation has slowed since 2005. (2) At the class level, the dominance of grassland decreased, and the degree of landscape fragmentation of cropland, forestland, and grassland increased gradually. At the landscape level, the landscape shape was more complex, the landscape connectivity was worse, and the landscape diversity gradually enhanced. (3) This study revealed that climatic factors influenced the evolution of landscape patterns, and human activities were the key driving factors of landscape-level metrics. The results of this study provide scientific bases for land management strategies. [ABSTRACT FROM AUTHOR]

• The carbon pools demonstrated different degrees of "clustering" characteristic. • Prominent formation mechanisms were observed in the soil, litter, and root carbon pools. • Climate factors demonstrated varying degrees of constraint effects on the carbon pool. The grassland ecosystems, which are the most widely distributed terrestrial ecosystems, play an important role in regional climate change and the global carbon cycle. While researchers worldwide have spent much effort on quantitatively evaluating organic carbon at the regional scale, few studies have examined organic carbon pools at different levels, or their driving factors. To better facilitate a deeper understanding of carbon pool mechanisms, comprehensive understanding and comparative analysis among carbon pools is necessary. In this study, the Xilingol Typical Steppe Region of Inner Mongolia was used as a case study to quantitatively model vegetation, litter, soil, and ecosystem carbon pools for the 2011–2018 period. The improved Terrestrial Ecosystem Regional (TECO-R) model was used to perform carbon stock simulations, which was modified and calibrated for local application. The organic carbon pools at different levels were compared and analyzed in terms of their spatial distribution, inter-annual variation, and climate-driving factors. The results showed that the modified TECO-R model accurately simulated carbon storage on the whole. From 2011 to 2018 year, the various organic carbon pools increased overall and were characterized by different degrees of clustering in their spatial distribution, inter-annual variation, and climate-driving factors. Clear formation mechanisms were observed in the soil, litter, and root carbon pools. As the soil depth increased, the carbon stock of the root carbon pool and the soil carbon pool decreased. Climate factors exerted different degrees of constraints on each carbon pool. These findings promote understanding of the compositional differences in grassland carbon pools and the driving mechanism for these carbon pools, which, taken together, can help shape the policy for carbon sink management in grasslands. [ABSTRACT FROM AUTHOR]

Managing multiple ecosystem services (ESs) to facilitate synergy benefits is a crucial but challenging task for sustainable development, especially in arid and semi-arid regions. In this paper, the Inner Mongolia was used as a case study to systematically analyze the spatial trade-offs and synergies between 12 ESs consisting of 88 counties using the framework of ecosystem service bundle. We mapped ES distribution and then analyzed the relationships between ESs using Spearman correlation and hotspot/coldspot overlay analysis. In addition, ES bundles were identified using a self-organizing mapping network and the socio-ecological variables that drive the different ESs were explored using redundancy analysis. The results revealed complex spatial interactions between various ESs in Inner Mongolia due to water limitations. ES distribution and ES relationships correlated with gradients in biophysical and socioeconomic factors such as slope, precipitation, temperature, soil properties, and population density, and formed five types of ES bundles. These findings not only promote a clear understanding of the complex relationships among regional ESs, but lay a foundation for exploring win-win management strategies of ecological conservation and social-economic development in arid and semi-arid regions. • 12 ecosystem services were assessed at the county scale in Inner Mongolia. • Complex spatial interactions occurred between pairwise ecosystem services. • Self-organizing map method identified five types of ecosystem service bundles. [ABSTRACT FROM AUTHOR]