Journal of Forestry Research最新文献

Existing streamflow reconstructions based on tree-ring analysis mostly rely on species from upland, mainly montane areas, while lowland species (generally plain) areas are rarely used. This limits the understanding of streamflow change history in the lowlands, which is an important basis for water resource management. This study focused on Populus euphratica stands located along the main stream, eastern and western tributaries in the lower reaches of the Heihe River basin (HRb), in arid northwestern China. We investigated how streamflow regulation interferes with riparian trees in lowlands when they used for streamflow reconstruction. Tree-ring width chronologies were developed and analyzed in conjunction with meteorological and hydrologic observation data. The results show streamflow regulation leads in sharp fluctuations in the streamflow allocation between the eastern tributaries and western tributaries. This resulted in instability of the correlation between streamflow at the two tributaries and at the Zhengyixia hydrologic station, with corresponding fluctuations in radial growth of poplar trees on the banks of the two tributaries and at the station. Streamflow regulation altered the natural patterns of seasonal streamflow below the station, changing the time window of poplar response. This study provides useful insight into tree-ring width based streamflow reconstruction in the lowlands.

Since the launch of the Google Earth Engine (GEE) cloud platform in 2010, it has been widely used, leading to a wealth of valuable information. However, the potential of GEE for forest resource management has not been fully exploited. To extract dominant woody plant species, GEE combined Sentinel-1 (S1) and Sentinel-2 (S2) data with the addition of the National Forest Resources Inventory (NFRI) and topographic data, resulting in a 10 m resolution multimodal geospatial dataset for subtropical forests in southeast China. Spectral and texture features, red-edge bands, and vegetation indices of S1 and S2 data were computed. A hierarchical model obtained information on forest distribution and area and the dominant woody plant species. The results suggest that combining data sources from the S1 winter and S2 yearly ranges enhances accuracy in forest distribution and area extraction compared to using either data source independently. Similarly, for dominant woody species recognition, using S1 winter and S2 data across all four seasons was accurate. Including terrain factors and removing spatial correlation from NFRI sample points further improved the recognition accuracy. The optimal forest extraction achieved an overall accuracy (OA) of 97.4% and a map-level image classification efficacy (MICE) of 96.7%. OA and MICE were 83.6% and 80.7% for dominant species extraction, respectively. The high accuracy and efficacy values indicate that the hierarchical recognition model based on multimodal remote sensing data performed extremely well for extracting information about dominant woody plant species. Visualizing the results using the GEE application allows for an intuitive display of forest and species distribution, offering significant convenience for forest resource monitoring.

Interest in the dynamics of soil respiration (R_s) in subalpine forest ecosystems is increasing due to their high soil carbon density and potential sensitivity to environmental changes. However, as a principal silvicultural practice, the long-term impacts of thinning on R_s and its heterotrophic and autotrophic respiration components (R_h and R_a, respectively) in subalpine plantations are poorly understood, especially in winter. A 3-year field observation was carried out with consideration of winter CO₂ efflux in middle-aged subalpine spruce plantations in northwestern China. A trenching method was used to explore the long-term impacts of thinning on R_s, R_h and R_a. Seventeen years after thinning, mean annual R_s, R_h and R_a increased, while the contribution of R_h to R_s decreased with thinning intensity. Thinning significantly decreased winter R_s because of the reduction in R_h but had no significant effect on R_a. The temperature sensitivity (Q₁₀) of R_h and R_a also increased with thinning intensity, with lower Q₁₀ values for R_h (2.1–2.6) than for R_a (2.4–2.8). The results revealed the explanatory variables and pathways related to R_h and R_a dynamics. Thinning increased soil moisture and nitrate nitrogen (({text{NO}}_{3}^{ - })-N), and the enhanced nitrogen and water availability promoted R_h and R_a by improving fine root biomass and microbial activity. Our results highlight the positive roles of ({text{NO}}_{3}^{ - })-N in stimulating R_s components following long-term thinning. Therefore, applications of nitrogen fertilizer are not recommended while thinning subalpine spruce plantations from the perspective of reducing soil CO₂ emissions. The increased Q₁₀ values of R_s components indicate that a large increase in soil CO₂ emissions would be expected following thinning because of more pronounced climate warming in alpine regions.

Tree-ring width (RW), density, elemental composition, and stable carbon and oxygen isotope (δ¹³C, δ¹⁸O) are widely used as proxies to assess climate change, ecology, and environmental pollution; however, a specific pretreatment has been needed for each proxy. Here, we developed a method by which each proxy can be measured in the same sample. First, the sample is polished for ring width measurement. After obtaining the ring width data, the sample is cut to form a 1-mm-thick wood plate. The sample is then mounted in a vertical sample holder, and gradually scanned by an X-ray beam. Simultaneously, the count rates of the fluorescent photons of elements (for chemical characterization) and a radiographic grayscale image (for wood density) are obtained, i.e. the density and the element content are obtained. Then, cellulose is isolated from the 1-mm wood plate by removal of lignin, and hemicellulose. After producing this cellulose plate, cellulose subsamples are separated by knife under the microscope for inter-annual and intra-annual stable carbon and oxygen isotope (δ¹³C, δ¹⁸O) analysis. Based on this method, RW, density, elemental composition, δ¹³C, and δ¹⁸O can be measured from the same sample, which reduces sample amount and treatment time, and is helpful for multi-proxy comparison and combination research.

Urbanization has profound impacts on ecological environments. Green spaces are a vital component of urban ecosystems and play a crucial role in maintaining ecological balance and enhancing sustainability. This study aimed to investigate the community composition characteristics of butterflies in urban green spaces within the context of rapid urbanization. Simultaneously, it explored the status and differences in butterfly taxonomic diversity, functional diversity, and functional traits among different types of urban green spaces, regions, and urban gradients to provide relevant insights for further improving urban green space quality and promoting biodiversity conservation. We conducted a year-long survey of 80 green spaces across different urban regions and ring roads within Hefei City, Anhui Province, with monthly sampling intervals over 187 transects. A total of 4822 butterflies, belonging to 5 families, 17 subfamilies, 40 genera, and 55 species were identified. The species richness, Shannon, Simpson, functional richness, and Rao's quadratic entropy indices of butterflies in urban park green spaces were all significantly higher than those in residential and street green spaces (P < 0.05). Differences in butterfly diversity and functional traits among different urban regions and ring roads were relatively minor, and small-sized, multivoltine, and long flying duration butterflies dominated urban green spaces. Overall, these spaces offer more favorable habitats for butterflies. However, some residential green spaces and street green spaces demonstrate potential for butterfly conservation.

Litterfall is the largest source of nutrients to forest soils of tropical rainforests. However, variability in litterfall production, nutrient remobilization, and changes in leaf nutrient concentration with climate seasonality remain largely unknown for the central Amazon. This study measured litterfall production, leaf nutrient remobilization, and leaf area index on a forest plateau in the central Amazon. Litterfall was measured at monthly intervals during 2014, while nitrogen, phosphorus, potassium, calcium and magnesium concentrations of leaf litter and canopy leaves were measured in the dry and rainy seasons, and remobilization rates determined. Leaf area index was also recorded in the dry and rainy seasons. Monthly litterfall varied from 33.2 (in the rainy season) to 87.6 g m^‒2 in the dry season, while leaf area index increased slightly in the rainy season. Climatic seasonality had no effect on concentrations of nitrogen, calcium, and magnesium, whereas phosphorous and potassium responded to rainfall seasonality oppositely. While phosphorous increased, potassium decreased during the dry season. Over seasons, nitrogen, potassium, and phosphorous decreased in leaf litter; calcium increased in leaf litter, while magnesium remained unaffected with leaf aging. Regardless, the five nutrients had similar remobilization rates over the year. The absence of climate seasonality on nutrient remobilization suggests that the current length of the dry season does not alter nutrient remobilization rates but this may change as dry periods become more prolonged in the future due to climate change.

Abstract

Evapotranspiration is an important parameter used to characterize the water cycle of ecosystems. To understand the properties of the evapotranspiration and energy balance of a subalpine forest in the southeastern Qinghai–Tibet Plateau, an open-path eddy covariance system was set up to monitor the forest from November 2020 to October 2021 in a core area of the Three Parallel Rivers in the Qinghai–Tibet Plateau. The results show that the evapotranspiration peaked daily, the maximum occurring between 11:00 and 15:00. Environmental factors had significant effects on evapotranspiration, among them, net radiation the greatest (R² = 0.487), and relative humidity the least (R² = 0.001). The energy flux varied considerably in different seasons and sensible heat flux accounted for the main part of turbulent energy. The energy balance ratio in the dormant season was less than that in the growing season, and there is an energy imbalance at the site on an annual time scale.

Carbon (C), nitrogen (N), and phosphorus (P) are of fundamental importance for growth and nutrient dynamics within plant organs and deserve more attention at regional to global scales. However, our knowledge of how these nutrients vary with tree size, organ age, or root order at the individual level remains limited. We determined C, N, and P contents and their stoichiometric ratios (i.e., nutrient traits) in needles, branches, and fine roots at different organ ages (0–3-year-old needles and branches) and root orders (1st–4th order roots) from 64 Pinus koraiensis of varying size (Diameter at breast height ranged from 0.3 to 100 cm) in northeast China. Soil factors were also measured. The results show that nutrient traits were regulated by tree size, organ age, or root order rather than soil factors. At a whole-plant level, nutrient traits decreased in needles and fine roots but increased in branches with tree size. At the organ level, age or root order had a negative effect on C, N, and P and a positive effect on stoichiometric ratios. Our results demonstrate that nutrient variations are closely related to organ-specific functions and ecophysiological processes at an individual level. It is suggested that the nutrient acquisition strategy by younger trees and organ fractions with higher nutrient content is for survival. Conversely, nutrient storage strategy in older trees and organ fractions are mainly for steady growth. Our results clarified the nutrient utilization strategies during tree and organ ontogeny and suggest that tree size and organ age or root order should be simultaneously considered to understand the complexities of nutrient variations.

In the Mediterranean region, despite bamboo being an alien species that can seriously alter plant and animal biocoenosis, the area occupied by bamboo plantations continues to increase, especially for the purpose to sequester carbon (C). However, the C dynamics in the soil–plant system when bamboo is grown outside its native area are poorly understood. Here we investigated the C mitigation potential of the fast-growing Moso bamboo (Phyllostachys edulis) introduced in Italy for climate-change mitigation. We analyzed aboveground (AGB) and belowground (as root/shoot ratio) biomass, litter and soil organic C (SOC) at 0–15- and 15–30-cm depths in a 4-year-old bamboo plantation in comparison with the former annual cropland on which the bamboo was established. To have an idea of the maximum C stored at an ecosystem level, a natural forest adjacent the two sites was also considered. In the plantation, C accumulation as AGB was stimulated, with 14.8 ± 3.1 Mg C ha^–1 stored in 3 years; because thinning was done to remove culms from the first year, the mean sequestration rate was 4.9 Mg C ha^–1 a^–1. The sequestration rates were high but comparable to other fast-growing tree species in Italy (e.g., Pinus nigra). SOC was significantly higher in the bamboo plantation than in the cropland only at the 0–15 cm depth, but SOC stock did not differ. Possibly 4 years were not enough time for a clear increase in SOC, or the high nutrient uptake by bamboos might have depleted the soil nutrients, thus inhibiting the soil organic matter formation by bacteria. In comparison, the natural forest had significantly higher C levels in all the pools. For C dynamics at an ecosystem level, the bamboo plantation on the former annual cropland led to substantial C removal from the atmosphere (about 12 Mg C ha^–1 a^–1). However, despite the promising C sequestration rates by bamboo, its introduction should be carefully considered due to potential ecological problems caused by this species in overexploited environments such as the Mediterranean area.

Latewood width (LWW) indices of trees are considered a reliable proxy of summer precipitation in the Northern Hemisphere. However, the strong coupling and high correlation between earlywood width (EWW) and LWW indices often prevent registration of climate signals of the LWW index. In this study, 328-year-long earlywood width and latewood width chronologies were developed from Chinese pine at two sites in the Hasi Mountains, north central China. The climate responses of these chronologies were analyzed and the LWW index used to derive summer precipitation signals. Correlation analyses showed that LWW was particularly influenced by earlywood growth and recorded stronger climate signals of the previous year as EWW, rather than those of the current year with infrequent summer climate signals. However, after removing the effect of earlywood growth using a simple regression model, the adjusted LWW chronology (LWW_adj) showed a strong relationship with July precipitation in dry years. This suggests that the LWW_adj chronology has the potential to be used to investigate long-term variability in summer precipitation in drought-limited regions.