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Vegetation change has a non-negligible role in the impact of ecosystem services (ESs). Quantitative assessment of vegetation ecosystem services is the basis for sustainable regional development. Using the Chinese Loess Plateau (LP) as the study area, this study firstly analysed the spatial and temporal characteristics of vegetation change and used a Geodetector model to reveal the driving mechanism. Next, this study applied the InVEST model to quantitatively assess the four services of carbon storage, habitat quality, soil conservation and water yield, and explored the vegetation ecosystem service balance through vegetation type transfer. The results showed that (1) there was a trend towards an increase in the area of all vegetation types, with sparse vegetation being the most pronounced. Areas of damaged vegetation were concentrated in urban and peripheral areas, as well as wasteland and bare ground. (2) Annual precipitation, soil types and cumulative afforestation area ratio were the main drivers of vegetation change on the LP. (3) Restoration of woodland enhanced carbon storage, habitat quality and soil retention services for vegetation on the LP, while water yield decreased by 31.66%. The restoration of vegetation area did not enhance all ecosystem services. This study may provide a reference and basis for the sustainable management of regional ecosystems.

The forest ecosystem is the ecosystem with the largest terrestrial carbon pool in the world. Afforestation, cutting and tending mutually affect the forest carbon source and the carbon sink. However, few studies have explored the effects of larch plantation management on soil aggregate stability and soil aggregate carbon storage. The effects of the four thinning intensities (unmanaged control (CK), 15% reduction, mild thinning (LT), 30% reduction, intermediate thinning (MT), and 50% reduction, severe thinning (HT)) on soil aggregate stability and carbon storage were investigated in Larix principis-rupprechtii plantations in North China. The results showed that soil aggregates with a particle size of >2 mm or 1–2 mm under all thinning intensities were the most abundant. At the same time, organic carbon and labile carbon were mainly distributed in >0.25 mm soil aggregates. The MT treatment corresponded with the highest organic carbon and labile carbon levels. The distribution of soil macro aggregates was greatly affected by stand density, while the distribution of micro aggregates was most affected by nutrient-related factors. Forest thinning reduces the stability of soil aggregates, though intermediate thinning can improve the carbon sequestration potential of soil aggregates. These findings will provide essential evidence for carbon sequestration of soil aggregates in plantations after thinning, and provide reference for those formulating plantation management strategies in North China.

Nitrogen (N), phosphorus (P), and potassium (K) play an essential role in plant growth, development and reproduction. The pattern of nutrient stoichiometry across various plant organs and plant life forms can reflect the trade-off of plant growth strategies. However, there is a lack of systematic research on plant nutrient stoichiometry and the influence of environmental factors. Therefore, the main forest type Quercus wutaishanica community was considered as the object for this study and samples of different life forms (trees, shrubs, herbs) and different organs (leaves, stems, roots, seeds) were collected in northern China. First, we analyzed N/P/K stoichiometry among different organs and different life forms in the Quercus wutaishanica natural community. Second, we explored the influence of environmental factors on N/P/K stoichiometry and clarified the relative contributions of variables among different life forms. The results showed that the distributions of nutrient stoichiometry in different life forms and organs were different. As the most active organ, the content of elements in leaves was significantly higher than that in other organs. Among them, P was the main limitation in leaves and roots; N was the main limitation in stems and seeds in this area. Environmental factors had different effects on the N/P/K stoichiometry of different life forms. The nutrient stoichiometry in trees was mainly affected by topographical factors; the nutrient stoichiometry in shrubs and herbs was mainly affected by soil factors. Therefore, the differences in N, P, and K stoichiometry may be caused by the growth environment and the plant’s own adaptation strategies. All of these studies provide new insight for studying the homeostasis system within plants and communities by means of stoichiometry. This study is expected to guide the management and protection of the natural community, make the natural community give more ecological functions, and provide support for the cultivation of artificial forests in the future.

In the past few decades, dominating human development patterns have negatively affected ecosystem services (ESs). To sustainably supply multiple ESs and enhance human well-being, researchers should analyze ESs responses to antagonistic effects. This study uses the InVEST model to evaluate the key ESs of the Shanxi Province in 2000 and 2020. The geographical detector model was used to analyze the dominant factors of the spatial differentiation characteristics of ESs changes. We used the Multi-Scale Geographically Weighted Regression (MGWR) to identify the main drivers of ESs changes and capture the differences in spatial variation. The results were as follows: (1) From 2000 to 2020, soil conservation (SC), carbon storage (CS), grain productivity (GP), and total ecosystem services (TES) increased by 44.48%, 1.03%, 57.84, and 1.67% respectively. Water yield (WY) and habitat quality (HQ) decreased by 1.36% and 0.64%, respectively. (2) The interaction of anthropogenic, climate, vegetation, and geomorphological factors has a significantly greater impact for the spatial differentiation of ESs changes than any single factor, though anthropogenic factors dominate the spatial distribution of regional ESs changes. (3) There is obvious spatial heterogeneity in the properties and intensity of the correlations between driving factors and changes in ESs. Anthropogenic factors have significant negative effects on CS, WY, and HQ changes. Vegetation factors were the main driving force for the improvement of GP and TES, while the climatic factor was the main driving factor for SC changes. (4) The MGWR model achieved the optimal performance, and the four selected driving factors explain 61.9%, 81.3%, 97.1%, 56.7%, 81.6%, and 79.2% of the changes in CS, WY, SC, HQ, GP, and TES, respectively. Based on the results, we suggest that future ecosystem management, planning and decision making, should focus on maintaining the balance between anthropogenic activities and vegetation restoration. This study provides a convenient method to capture the relationship between ESs and drivers in geographic space, and provides a reference for the sustainable supply of ESs in the region and the world.