China’s massive wave of urbanization may be threatened by land subsidence. Using a spaceborne synthetic aperture radar interferometry technique, we provided a systematic assessment of land subsidence in all of China’s major cities from 2015 to 2022. Of the examined urban lands, 45% are subsiding faster than 3 millimeters per year, and 16% are subsiding faster than 10 millimeters per year, affecting 29 and 7% of the urban population, respectively. The subsidence appears to be associated with a range of factors such as groundwater withdrawal and the weight of buildings. By 2120, 22 to 26% of China’s coastal lands will have a relative elevation lower than sea level, hosting 9 to 11% of the coastal population, because of the combined effect of city subsidence and sea-level rise. Our results underscore the necessity of enhancing protective measures to mitigate potential damages from subsidence.

China’s extensive planted forests play a crucial role in carbon storage, vital for climate change mitigation. However, the complex spatiotemporal dynamics of China’s planted forest area and its carbon storage remain uncaptured. Here we reveal such changes in China’s planted forests from 1990 to 2020 using satellite and field data. Results show a doubling of planted forest area, a trend that intensified post-2000. These changes lead to China’s planted forest carbon storage increasing from 675.6 ± 12.5 Tg C in 1990 to 1,873.1 ± 16.2 Tg C in 2020, with an average rate of ~ 40 Tg C yr⁻¹. The area expansion of planted forests contributed ~ 53% (637.2 ± 5.4 Tg C) of the total above increased carbon storage in planted forests compared with planted forest growth. This proactive policy-driven expansion of planted forests has catalyzed a swift increase in carbon storage, aligning with China’s Carbon Neutrality Target for 2060.

The daily activities of animals are influenced by various factors, including their physiological adaptations and preferred habitat distributions, as well as prey availability and human disturbances. For felids, the main drivers of activity patterns appear to be prey availability and anthropogenic disturbances, as suggested by previous studies. In this study, we explore a set of variables that influence the activity patterns of Amur tigers (Panthera tigris altaica) in Jilin and Heilongjiang Provinces in north‐east China near south‐western Primorsky Krai, Russia. This area is currently the only occupied tiger habitat in China. Prey availability (e.g. wild boar, sika deer and roe deer), human disturbances (e.g. human activity, distance to human settlements and intense forest livestock grazing), and habitat structure were analysed. Our results revealed crepuscular and nocturnal activity of Amur tigers. Although the temporal overlaps between the tigers and their prey species were high, the spatial overlap indices were low. Although the presence of tigers decreased near human settlements, tigers showed a preference for walking along roads. Tigers also avoided high‐elevation coniferous and mixed hardwood forests. Overall, our results indicated that (1) tigers spatially and temporally avoided human disturbances and tigers respond behaviourally to human disturbances and (2) human disturbances may determine the activity of Amur tigers in north‐east China. In the future, to address conflicts between tigers and local humans and to improve tiger conservation, conservation planning should incorporate the spatio‐temporal activity patterns of tigers and humans.

China has restored extensive forest areas through afforestation and natural regeneration, contributing to climate change mitigation. However, the restoration patterns and the mechanisms driving aboveground carbon accumulation in these forests remain unclear. We mapped the distribution of the aboveground carbon accumulation rates for China’s young planted and natural forests in 2020 and identified key factors influencing their variability using remote sensing and field data. The analysis reveals marked spatial heterogeneity in aboveground carbon accumulation rates of these restored young forests, driven primarily by seasonal temperature. At comparable ages, young planted forests show lower aboveground carbon accumulation rates than young natural forests, mainly due to different tree density. Although young planted forests currently sequester more carbon, projections indicate that by 2060 its total aboveground carbon stock will be lower than that of young natural forests. Consequently, our findings emphasize optimizing forest structure in managing China’s planted forests to enhance carbon storage.

The Eurasian otter Lutra lutra is a generalist carnivore that is widely distributed in many aquatic ecosystems. Based on its inherent attributes of opportunistic foraging behaviour and broad dietary range, it is naturally considered a potential sampler of the diversity of aquatic vertebrates. To test the ability and efficiency of otters as a diversity sampler, we used DNA metabarcoding to investigate the composition in vertebrates of the diet of otters that inhabit a forest stream area in northeast China. Twenty vertebrate prey taxa were detected in 98 otter spraints. Otter diet mainly comprised aquatic fishes (59.4%) and amphibians (39.0%). We also used traditional approaches to investigate fish communities at 60 sampling sites in the same area to determine the relationship between fish population composition in the environment and otter diet. The comparison revealed that 28 species of fish were distributed in this area, of which five are simultaneously detected in otter spraints. This indicates that molecular analysis of the diet of otters is not an ideal approach for investigating fish diversity, at least when using the 12SV5 primer pair. Based on a review of the available molecular research on otter diet, we conclude that the low species resolution may be due to the presence of many closely-related prey species in native habitats and lack of suitable barcodes. Considering the remarkable power of diet metabarcoding analysis in capturing elusive and rare species, it represents an approach that can compensate for the defects associated with fishing methods and we suggest that it can be used as an auxiliary means of measuring traditional fish diversity.