Invasions by alien plant species of the agro-pastoral ecotone in northern China: Species-specific and environmental determinants

Replacement control of Mikania micrantha in orchards and its eco-physiological mechanism

Mikania micrantha is one of the most notorious invasive weeds in south China, especially in orchard habitats. Based on the principle of niche competition, screening plants with strong competitiveness and managing vacant niches through natural alternative methods (replacement control) were expected to achieve sustainable ecological management of invasive species. To this end, two legumes, Desmodium heterocarpon and Senna tora, were selected to conduct field competition experiments with M. micrantha to investigate the interspecific competitiveness of these two legumes and M. micrantha from the aspects of adaptability to low light and response to drought stress. We found that the relative interaction indexes of D. heterocarpon and S. tora to M. micrantha were both negative and the competitive inhibition of S. tora on M. micrantha was higher than that of D. heterocarpon. Compared with M. micrantha, D. heterocarpon and S. tora have higher photosynthetic efficiency and lower dark respiration efficiency under low-light conditions, thus maintaining positive plant carbon balance capacity in the low-light understory and becoming more shade-tolerant. Besides, the water stress experiment found that M. micrantha had the lowest tolerance to drought stress, followed by S. tora, and D. heterocarpon was the most drought tolerant. These results showed that D. heterocarpon and S. tora can effectively prevent and control M. micrantha, mainly due to their higher competitiveness, shade tolerance, and drought tolerance. The control effect of D. heterocarpon is better than that of S. tora which is an alien species. Therefore, we believed that the replacement control of the invasive weed M. micrantha by D. heterocarpon is expected to be a sustainable ecological management strategy for M. micrantha biocontrol in the dryland orchard habitat. These findings provide a theoretical basis for the selection of species for alternative control in the future and provide new ideas for solving the problem of repeated regeneration in the existing M. micrantha control process.

Effects of Different Nitrogen Forms and Competitive Treatments on the Growth and Antioxidant System of Wedelia trilobata and Wedelia chinensis Under High Nitrogen Concentrations

Nitrogen (N) is one of the essential nutrients for plant growth. Appropriate application of N can improve the N use efficiency (NUE) and significantly promote plants' growth. However, under N toxic conditions, the relationship between the growth and antioxidant system of invasive plants under different N forms and competitive treatments is not fully understood. Therefore, in this study, the performance of invasive species Wedelia trilobata and its native species Wedelia chinensis was evaluated under two sets of N forms and ratios, namely, NH₄ ⁺-N(AN)/NO₃ ^--N(NN) = 2:1 and NH₄ ⁺-N(AN)/NO₃ ^--N(NN) = 1:2 along with two intraspecific and interspecific competitions under without N and high N level of 15 g N⋅m^-2 year^-1, respectively. Data regarding the growth indices, antioxidant enzyme activities, including peroxidase (POD) and catalase (CAT), malondialdehyde (MDA), and proline contents were determined. Results showed that for competitive treatments, growth status was better for interspecific competition than intraspecific competition. The plant biomass of W. trilobata was significantly higher than that of W. chinensis. N significantly promoted the plants' growth in terms of leaf area and biomass yield, and the antioxidant enzyme activities were significantly increased under a high N treatment than that of the control. Among N forms/ratios, ammonium N (AN)/nitrate N (NN) = 2:1 significantly enhanced the enzyme activity, particularly in W. trilobata. Furthermore, for intraspecific competition, MDA contents of W. trilobata were significantly decreased compared to that of W. chinensis. In conclusion, our results showed that W. trilobata adapted well under competitive conditions through better growth and antioxidant defense system.

Response of Biodiversity, Ecosystems, and Ecosystem Services to Climate Change in China: A Review

Climate change is having a significant impact on the global ecosystem and is likely to become increasingly important as this phenomenon intensifies. Numerous studies in climate change impacts on biodiversity, ecosystems, and ecosystem services in China have been published in recent decades. However, a comprehensive review of the topic is needed to provide an improved understanding of the history and driving mechanisms of environmental changes within the region. Here we review the evidence for changes in climate and the peer-reviewed literature that assesses climate change impacts on biodiversity, ecosystem, and ecosystem services at a China scale. Our main conclusions are as follows. (1) Most of the evidence shows that climate change (the increasing extreme events) is affecting the change of productivity, species interactions, and biological invasions, especially in the agro-pastoral transition zone and fragile ecological area in Northern China. (2) The individuals and populations respond to climate change through changes in behavior, functions, and geographic scope. (3) The impact of climate change on most types of services (provisioning, regulating, supporting, and cultural) in China is mainly negative and brings threats and challenges to human well-being and natural resource management, therefore, requiring costly societal adjustments. In general, although great progress has been made, the management strategies still need to be further improved. Integrating climate change into ecosystem services assessment and natural resource management is still a major challenge. Moving forward, it is necessary to evaluate and research the effectiveness of typical demonstration cases, which will contribute to better scientific management of natural resources in China and the world.

Estimating daily evapotranspiration in the agricultural-pastoral ecotone in Northwest China: A comparative analysis of the Complementary Relationship, WRF-CLM4.0, and WRF-Noah methods

Accurate estimation of evapotranspiration (ET) over regional scale is essential for ecohydrological research, agricultural production, and water resources management. However, few studies have been done to estimate regional ET in data lacking, highly heterogeneous arid areas such as the Agricultural-Pastoral Ecotone in Northwest China (APENC). In this study, we compared three actual ET-estimation methods driven by Weather Research and Forecasting (WRF) model in a semi-arid region. We selected the state of the art Weather Research and Forecasting-Community Land Model 4.0 (WRF-CLM4.0) model, the widely used WRF-Noah model and an empirical Complementary Relationship (CR) model to compare their model structures and mechanisms of estimating daily ET in the study region. The WRF model was chosen to address the problem of data scarcity in the study region and to derive model input for ET estimation with high spatial resolution. The seasonal and pooled performances of the three models were verified with in situ observations. Results indicate that the WRF-CLM4.0 model shows a better applicability in the study region, with a superior performance for the pooled datasets (Pearson correlation coefficient [r] = 0.89, root-mean-square error [RMSE] = 0.66 mm/d and Nash-Sutcliffe efficiency coefficient [NSE] = 0.90), while the CR model has a comparable performance (r = 0.91, RMSE = 0.86 mm/d and NSE = 0.85) and the WRF-Noah model shows the worst performance (r = 0.82, RMSE = 0.94 mm/d and NSE = 0.81). The differences are mainly caused by different representations of the land surface characteristics and hydrology of the study region by the three different models. Our analysis shows that the WRF-CLM4.0 model and the CR model are more applicable to the APENC than the WRF-Noah model. For regional applications, the CR model, with fewer parameters and simpler structure, is able to capture the local characteristic and well-suited for data lacking, highly heterogeneous landscapes such as the APENC.