Article
Environmental Sciences
Dan Cao, Jiahua Zhang, Jiaqi Han, Tian Zhang, Shanshan Yang, Jingwen Wang, Foyez Ahmed Prodhan, Fengmei Yao
Summary: Understanding the impact of drought on the terrestrial carbon budget is crucial for assessing ecosystem disturbance and carbon sink. Research shows that most regions capture negative net primary productivity (NPP) extremes, except for high-latitude areas in the Northern Hemisphere. The largest NPP loss caused by extreme droughts is projected for the period 2071-2100, followed by severe and moderate droughts. Regions such as central United States, southern Africa, central Asia, India, Amazon tropical rainforest, and Australia are expected to experience significant increases in negative NPP extremes, mainly in arid and semi-arid and tropical rainforest areas. However, tropical Asia is less affected by drought. Different vegetation types, including Evergreen Broadleaf Forest, Closed Shrubland, Open Shrubland, Croplands, and Grassland, are most affected by drought. Climate change plays a significant role in exacerbating the risk of drought-induced NPP reduction. Rational fertilizer utilization and land management can help mitigate the adverse effects of drought on vegetation in the future.
Article
Biodiversity Conservation
Li Yu, Botao Zhou, Yuqing Xu, Yongxiang Zhang, Fengxue Gu
Summary: This study investigates the response of net primary productivity (NPP) in the Yangtze River Economic Belt (YREB) to climate change. The results show that NPP is projected to increase with temperature rise, but the rate of increase may slow down or even decrease under certain scenarios. The findings suggest potential risks to terrestrial ecosystems in the YREB, including reduced functions and service decline, weakened carbon sequestration capacity, and decreased agricultural production.
Article
Environmental Studies
Zhaotong Chen, Jiangping Chen, Gang Xu, Zongyao Sha, Jianhua Yin, Zijian Li
Summary: The net primary productivity (NPP) of vegetation is an important indicator for understanding vegetation dynamics and carbon sequestration capacity. This study used the CASA model to estimate the NPP changes in China from 2001 to 2020 and evaluated the model's effectiveness using various datasets and products. The study found that the CASA model had better estimation accuracy for grassland and needleleaf forest. The NPP changes were significantly correlated with temperature in about 10.39% of the vegetation cover area and with precipitation in about 26.92% of the vegetation cover area.
Article
Meteorology & Atmospheric Sciences
Zheng Jin, Qinglong You, Nick Pepin, Deliang Chen, Laurent Li, Guodong Sun, Zhiyan Zuo, Mingcai Li, Panmao Zhai
Summary: The greening and browning of global vegetation are influenced by multiple processes, including climate change, CO2 fertilization, and land management. Based on the vegetation-water-heat relationship, these processes can be categorized into two types of eco-hydrological processes: dryness change and usage change. By analyzing remote-sensing data and climate data, it has been found that dryness change has become the dominant factor in climate change impacts on vegetated lands globally, leading to a fundamental weakening of global greening.
ATMOSPHERIC RESEARCH
(2022)
Article
Environmental Sciences
Bhumika Uniyal, Ervin Kosatica, Thomas Koellner
Summary: This study aims to quantify the impact of climate change on different regulation and provisioning ecosystem services, and proposes a modelling framework to simulate this impact. The SWAT model is used to simulate the considered ecosystem services for different time periods and quantify their impact. The findings indicate that climate change does not have a significant effect on ecosystem services when using an ensemble of five climate models.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Geography, Physical
Xihong Lian, Limin Jiao, Zejin Liu, Qiqi Jia, Jing Zhong, Miao Fang, Weilin Wang
Summary: Investigating the legacy effects of climate on terrestrial vegetation in China, this study reveals a significant greening trend over the past 20 years accompanied by warming and wetting. The relationship between vegetation and climate is found to be complicated, with remarkable legacy effects and regional variations. Different vegetation types show heterogeneous responses to the legacy effects on precipitation and temperature, with shorter lag time in spring. These findings highlight the importance of considering multi-spatiotemporal legacy effects in the vegetation-climate interaction model and environmental management policies.
GISCIENCE & REMOTE SENSING
(2022)
Article
Environmental Sciences
Ram Avtar, Ali P. Yunus, Osamu Saito, Ali Kharrazi, Pankaj Kumar, Kazuhiko Takeuchi
Summary: This study examines the variations of vegetation indices in response to climatic data and confirms the influence of temperature and precipitation on the temporal distributions and productivities of terrestrial ecosystems in Wa-West and Tolon districts of Ghana. The findings highlight the potential of using vegetation indices as indicators for monitoring phenological changes in terrestrial ecosystems.
GEOCARTO INTERNATIONAL
(2022)
Article
Meteorology & Atmospheric Sciences
Vahid Nourani, Nardin Jabbarian Paknezhad, Jinhui Jeanne Huang
Summary: This study investigated the accuracy and uncertainty of downscaled climatic parameters using artificial neural networks (ANN). Results showed that the CMIP6 model outperformed CMIP5 in downscaling both precipitation and temperature parameters. According to the accuracy and uncertainty combination assessment, CMIP6 performed better by up to 95% and 76% in Tabriz and Rasht stations.
THEORETICAL AND APPLIED CLIMATOLOGY
(2022)
Article
Environmental Studies
Jiasheng Li, Xiaomin Guo, Xiaowei Chuai, Fangjian Xie, Feng Yang, Runyi Gao, Xuepeng Ji
Summary: Land use changes and climate change have significantly impacted the terrestrial ecosystem carbon balance in China. Research found that from 2000 to 2015, there were noticeable regional variations in carbon balance, with North and Northwest China acting as carbon sources while other regions were carbon sinks. Net Ecosystem Productivity (NEP) showed an increasing trend throughout the regions, except for the Mid-South region.
Article
Environmental Sciences
Qiwen Hu, Tingting Li, Xi Deng, Tongwen Wu, Panmao Zhai, Danqing Huang, Xingwang Fan, Yakun Zhu, Yongcheng Lin, Xiucheng Xiao, Xianyan Chen, Xiaosong Zhao, Lili Wang, Zhangcai Qin
Summary: Earth system models have been widely used to simulate global terrestrial carbon fluxes, including gross primary production (GPP) and net primary production (NPP). This study evaluated the model performance of 22 ESMs participating in the CMIP5 and CMIP6 projects, finding that the multi-model ensembles (MME) outperformed individual models in simulating GPP and NPP. Despite improvements in CMIP6 compared to CMIP5, there is still much work needed to enhance the performance of individual ESMs and the overall CMIP. Future work should focus on more comprehensive model mechanisms and higher resolution coupling of land surface and atmospheric/oceanic schemes.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Environmental
Hooman Gholami, Morteza Lotfirad, Seyed Mohammad Ashrafi, Seyed Mostafa Biazar, Vijay P. Singh
Summary: This study aims to propose an approach for reducing the uncertainty of using GCM models in predicting future runoff conditions in the Gharesu basin, Iran. The results show that the uncertainty of runoff estimation is reduced when using the ensemble model compared to any single GCM model, and the prediction indicates an increase in floods and drier conditions in the future period.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Review
Ecology
Gil Rilov, Joao Canning-Clode, Tamar Guy-Haim
Summary: Invasive species, particularly those known as 'ecosystem engineers', significantly alter the new environment in terrestrial and aquatic ecosystems, and their impacts can be both positive and negative. This review examines the various types of impacts that invasive ecosystem engineers have in different ecological realms, and highlights the importance of understanding their effects on ecosystem services and their potential for restoring functions in the face of climate change.
FUNCTIONAL ECOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Lei Ding, Jianping Huang, Changyu Li, Dongliang Han, Xiaoyue Liu, Haiyun Li, Yan Bai, Jiping Huang
Summary: This study investigates the temporal and spatial variations in terrestrial oxygen sources based on observations and simulations. The results indicate that the terrestrial ecosystem is the largest source of atmospheric oxygen, primarily located in tropical regions. However, there are non-oxygen-producing lands in high latitudes and around the deserts of Central Asia. Long-term analysis suggests that anthropogenic activities and climate change are responsible for the variations in terrestrial oxygen sources. By 2100, more oxygen will be produced from low-middle latitudes, while high latitudes will serve as a larger oxygen sink.
SCIENCE CHINA-EARTH SCIENCES
(2022)
Article
Energy & Fuels
Salomon Obahoundje, Arona Diedhiou, Laurent Dubus, Eric Adechina Alamou, Ernest Amoussou, Komlavi Akpoti, Eric Antwi Ofosu
Summary: This study assesses the impacts of climate change on hydropower in West Africa using climate models and machine learning methods. The findings suggest that both inflow to the reservoir and energy generation will decrease in the future, which is crucial for decision-makers in energy planning.
Article
Meteorology & Atmospheric Sciences
Mirza Junaid Ahmad, Kyung Sook Choi
Summary: Extreme climate has significant impacts on social, environmental, and economic developments. This study evaluated the spatiotemporal trends of 21 extreme climate indices in South Korea and projected that it will face increasing warming and decreasing cold events in the future. South Korea's important regions are at higher risk of facing detrimental impacts from extreme climatology.
ATMOSPHERIC RESEARCH
(2023)
