Article
Environmental Sciences
Joana Figueiredo, Christopher J. Thomas, Eric Deleersnijder, Jonathan Lambrechts, Andrew H. Baird, Sean R. Connolly, Emmanuel Hanert
Summary: The study demonstrates that a 2-degree Celsius warming will reduce the dispersal distance of coral larvae and connectivity between reefs, impacting coral reef recovery and the spread of warm-adapted genes.
NATURE CLIMATE CHANGE
(2022)
Article
Environmental Sciences
Peter L. Harrison, Dexter W. dela Cruz, Kerry A. Cameron, Patrick C. Cabaitan
Summary: Loss of foundation reef-corals is damaging reef communities globally, leading to a decline in ecosystem function. Active intervention and effective coral restoration techniques are needed to enhance coral recruitment and density. Enhancing larval supply significantly increases settlement on reefs, facilitating rapid re-establishment of breeding coral populations and enhancing fish abundance.
FRONTIERS IN MARINE SCIENCE
(2021)
Article
Geochemistry & Geophysics
Xiangchao Meng, Qiang Liu, Feng Shao, Shutao Li
Summary: This article proposes a spatio-temporal-spectral collaborative learning framework for spatio-temporal fusion of multisource remote-sensing images. The framework integrates convolutional neural network and recurrent neural network to learn and fuse features from multiscale spatial-spectral to spatio-temporal. Experimental results demonstrate the competitive performance of the proposed method in fusing images with land cover changes.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Biology
Peter J. J. Edmunds
Summary: Coral recruitment is the addition of new individuals to populations and plays a crucial role in population size. Understanding the factors influencing coral recruitment and its ability to support community resilience is crucial due to declines in coral cover and abundance. Settlement tiles have proven to be effective tools in measuring coral recruitment and future studies should focus on expanding taxonomic resolution and using time series of settlement tile deployments.
BIOLOGICAL REVIEWS
(2023)
Article
Environmental Sciences
Yifan Zou, Peng Sun, Zice Ma, Yinfeng Lv, Qiang Zhang
Summary: In the context of global warming, China's Qinghai-Tibet Plateau and northwestern regions will experience the largest temperature rise. This study predicts the future snow changes in China's three stable snow cover areas by analyzing snow products and snow depth data. The results show that the snow cover fraction, snow depth, and snow cover days will decrease in these regions, with the southeast of the Qinghai-Tibet Plateau, the northwest of Northern Xinjiang, and the north of Northeast China being the center of snow cover reduction.
Article
Remote Sensing
Wang Li, Wenyong Guo, Yuchu Qin, Li Wang, Zheng Niu, Jens-Christian Svenning
Summary: Tree cover, an essential indicator of forest productivity, is widely studied using remote sensing techniques. However, the spatial heterogeneity of tree cover has received less attention despite its significant impact on critical phenomena like biodiversity and forest landscape dynamics. This study mapped the spatio-temporal dynamics of global tree cover heterogeneity over a 35-year period and found that changes in tree cover do not always correspond to changes in tree cover heterogeneity, emphasizing the importance of considering local spatial heterogeneity in understanding forest dynamics.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Computer Science, Information Systems
Marta Sapena, Luis A. Ruiz
Summary: This study assesses the use of spatio-temporal metrics from land-use/land-cover maps to identify urban growth patterns, finding that Weighted mean expansion and Weighted Euclidean distance are the most efficient metrics for distinguishing different growth patterns, which can help in monitoring and evaluating the management of urban areas.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2021)
Article
Environmental Sciences
Han Zhai, Chaoqun Lv, Wanzeng Liu, Chao Yang, Dasheng Fan, Zikun Wang, Qingfeng Guan
Summary: This study reveals that Wuhan has undergone rapid urbanization since the early 21st century, showing a typical urbanization process with significant internal imbalances between administrative districts. Future predictions suggest that Wuhan will continue to develop towards the southeast, with the urban center shifting from the northwest to the southeast of Jiang'an district.
Article
Environmental Sciences
Jenny Fong, Peter A. Todd
Summary: The study reveals that interactions between corals and macroalgae vary greatly across sites and seasons, with different coral species showing varying effects on macroalgae. It is important to consider seasonal fluctuations of macroalgae for understanding their overall long-term impacts.
MARINE POLLUTION BULLETIN
(2021)
Article
Computer Science, Interdisciplinary Applications
P. Cilliers, J. H. van Vuuren, Q. van Heerden
Summary: Many developing countries face the issue of rapid informal settlement emergence and expansion, this paper introduces a novel framework for predicting future spatiotemporal informal settlement population growth using machine learning techniques.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2021)
Article
Construction & Building Technology
Atul Srivastava, Samiksha Shukla, Prafull Singh, Pawan Kumar Jha
Summary: The spatial monitoring and mapping of land cover variation support urban planning and sustainability. This study evaluated the change in land cover pattern and its impact on land surface temperature of Prayagraj city from 2000 to 2020. The results show that built-up area increased, while tree cover, water bodies, and fallow land decreased. Land surface temperature showed positive correlation with enhanced built-up and bareness index but negative correlation with vegetation indices and water indices.
INDOOR AND BUILT ENVIRONMENT
(2023)
Article
Ecology
Ao Luo, Xiaoting Xu, Yunpeng Liu, Yaoqi Li, Xiangyan Su, Yichao Li, Tong Lyu, Dimitar Dimitrov, Markku Larjavaara, Shijia Peng, Yongsheng Chen, Qinggang Wang, Niklaus E. Zimmermann, Loic Pellissier, Bernhard Schmid, Zhiheng Wang
Summary: The aim of this study is to demonstrate the global spatio-temporal patterns in angiosperm woodiness and their relationship with environmental factors. Using data on the growth forms and distributions of around 300,000 angiosperm species and an angiosperm phylogeny, the researchers mapped the current global geographical patterns in angiosperm woodiness and reconstructed ancestral states of growth forms. They found that temperature was the best predictor of the spatio-temporal decline in woodiness and was positively correlated with woodiness. The study highlights the role of temperature in maintaining the growth form composition of ecosystems and calls for attention to growth form transitions in temperate drylands.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2023)
Article
Environmental Sciences
Julia K. Briand, Hector M. Guzman, Jennifer M. Sunday
Summary: Coral reefs in sheltered and exposed environments differ in composition and function, with lagoonal reefs being less resilient to environmental change. Over a 15-year period and 3 bleaching events, lagoonal reefs experienced greater losses in coral species diversity and lacked major reef-building species. However, both lagoonal reefs and forereefs became functionally similar over time.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Cell Biology
Paolo Armando Gagliardi, Benjamin Graedel, Marc-Antoine Jacques, Lucien Hinderling, Pascal Ender, Andrew R. Cohen, Gerald Kastberger, Olivier Pertz, Maciej Dobrzynski
Summary: This article introduces a computational method called ARCOS for the detection and quantification of collective signaling in cell collectives. The method is demonstrated on cell and organism collectives with space-time correlations of varying scales. The study reveals the importance of intercellular signaling for the functionality and adaptation of cell collectives to environmental challenges.
JOURNAL OF CELL BIOLOGY
(2023)
Article
Geochemistry & Geophysics
Valentine Bellet, Mathieu Fauvel, Jordi Inglada
Summary: In this article, the authors propose a Gaussian process (GP) approach for large-scale land cover pixel-based classification using Sentinel-2 satellite image time series (SITS). They used a sparse approximation combined with variational inference to learn the GP's parameters, and optimized the GP models using stochastic gradient descent and GPU computing. The inclusion of spatial information significantly improved classification accuracy, with the GP models outperforming traditional methods and approaching the performance of state-of-the-art transformer-based models.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
