Digital Ecosystem Model for GIAHS: The Barroso Agro-Sylvo-Pastoral System DOI Open Access
José Martins, Catarina Gonçalves, Jani Silva

et al.

Sustainability, Journal Year: 2022, Volume and Issue: 14(16), P. 10349 - 10349

Published: Aug. 19, 2022

Globally Important Agricultural Heritage Systems (GIAHS) territories are highly relevant to achieving sustainable lifestyles with human subsistence in balance the ecosystem. The Barroso agro-sylvo-pastoral system is a clear example of this alignment between existing society, nature and natural resources, environment, landscapes, contextual heritage. Moreover, use excellent environmental conditions, breath-taking untouched landscapes represent truly factor towards development region economy that still greatly influenced by an engraved cultural, patrimonial, agricultural Given GIAHS classification attributed territory, need arises guarantee conditions. This context will allow maintenance classification, ensuring quality life stimulating its socio-economic overall sustainability. present article describes proposal for digital ecosystem model aimed at GIAHS, composed four main functional hubs actively interact each other: smart government, economy, people. Based on wireless sensor networks, IoT, artificial intelligence, data analytics, other technological solutions, solution real-time control territory’s conditions develop more efficient well-supported management governance.

Language: Английский

Divergent responses of ecosystem water-use efficiency to extreme seasonal droughts in Southwest China DOI
Wang Min, Zhi Ding, Chaoyang Wu

et al.

The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 760, P. 143427 - 143427

Published: Nov. 1, 2020

Language: Английский

Citations

120

Drone-Enabled Internet-of-Things Relay for Environmental Monitoring in Remote Areas Without Public Networks DOI
Minghu Zhang, Xin Li

IEEE Internet of Things Journal, Journal Year: 2020, Volume and Issue: 7(8), P. 7648 - 7662

Published: April 16, 2020

Advancements in the Internet of Things (IoT) have led to revolutionary potential achieve intelligent environmental monitoring. However, extreme conditions across hard-to-reach areas, where public ground networks do not provide sufficient coverage, resulted difficult backhaul monitoring data from remote areas interest. Because urgent demand for low-cost collection such this article proposes a novel drone-enabled IoT relay system high-speed support The ability 5-GHz communication technology was exploited reduce time required transmission between devices and drone. Meanwhile, long-range (LoRa) technology, as low-power long-distance wireless is adopted wake-up strategy waking up high-power module. Based on 5 GHz LoRa drone-based onboard terminal are designed. An application used demonstrate feasibility designed system. Numerous real-world experiments validate effectiveness show its capability collection. field that collects cached with stable 3.5-MB/s throughput at an altitude 140 m. breakthroughs facilitate without new perspective over

Language: Английский

Citations

77

National Tibetan Plateau Data Center: Promoting Earth System Science on the Third Pole DOI Creative Commons
Xiaoduo Pan, Xuejun Guo, Xin Li

et al.

Bulletin of the American Meteorological Society, Journal Year: 2021, Volume and Issue: 102(11), P. E2062 - E2078

Published: June 15, 2021

Abstract The Tibetan Plateau, known as the world’s “Third Pole” due to its high altitude, is experiencing rapid, intense climate change, similar and even far more than that occurring in Arctic Antarctic. Scientific data sharing very important address challenges of better understanding unprecedented changes Third Pole their impacts on global environment humans. National Plateau Data Center (TPDC, http://data.tpdc.ac.cn ) one first 20 national centers endorsed by Ministry Science Technology China 2019 features most complete scientific for surrounding regions, hosting 3,500 datasets diverse disciplines. Fifty featuring high-mountain observations, land surface parameters, near-surface atmospheric forcing, cryospheric variables, high-profile article-associated over frequently being used quantify hydrological cycle water security, early warning assessments glacier avalanche disasters, other geoscience studies are highlighted this manuscript. TPDC provides a cloud-based platform with integrated online acquisition, quality control, analysis, visualization capability maximize efficiency sharing. shifts from traditional centralized architecture decentralized deployment effectively connect Pole–related domestic international sources. As an embryo management extreme upcoming “big data” era, dedicated filling gaps collection, discovery, consumption Pole, facilitating activities, particularly those extensive interdisciplinary use.

Language: Английский

Citations

73

Review of artificial intelligence and internet of things technologies in land and water management research during 1991–2021: A bibliometric analysis DOI
A. Patel, Kethavath Ajaykumar, Nand Lal Kushwaha

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 123, P. 106335 - 106335

Published: April 26, 2023

Language: Английский

Citations

41

Intelligent power monitoring of building equipment based on Internet of Things technology DOI
Lei Yu, Babar Nazir, Yinling Wang

et al.

Computer Communications, Journal Year: 2020, Volume and Issue: 157, P. 76 - 84

Published: April 13, 2020

Language: Английский

Citations

55

Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design DOI Creative Commons
Yongkang Xue, Tandong Yao, Aaron Boone

et al.

Geoscientific model development, Journal Year: 2021, Volume and Issue: 14(7), P. 4465 - 4494

Published: July 21, 2021

Abstract. Subseasonal-to-seasonal (S2S) prediction, especially the prediction of extreme hydroclimate events such as droughts and floods, is not only scientifically challenging, but also has substantial societal impacts. Motivated by preliminary studies, Global Energy Water Exchanges (GEWEX)/Global Atmospheric System Study (GASS) launched a new initiative called “Impact Initialized Land Surface Temperature Snowpack on Subseasonal to Seasonal Prediction” (LS4P) first international grass-roots effort introduce spring land surface temperature (LST)/subsurface (SUBT) anomalies over high mountain areas crucial factor that can lead significant improvement in precipitation through remote effects land–atmosphere interactions. LS4P focuses process understanding predictability, hence it different from, complements, other projects focus operational S2S prediction. More than 40 groups worldwide have participated this effort, including 21 Earth system models, 9 regional climate 7 data groups. This paper provides an overview history objectives LS4P, first-phase experimental protocol (LS4P-I) which effect Tibetan Plateau, discusses LST/SUBT initialization, presents results. Multi-model ensemble experiments analyses observational revealed hydroclimatic LST Plateau limited Yangtze River basin may large-scale impact summer beyond East Asia its Preliminary studies analysis shown models are unable preserve initialized producing observed largely for two main reasons: (i) inadequacies arising from total soil depths too shallow use simplified parameterizations, both tend limit memory; (ii) reanalysis data, used initial conditions, large discrepancies mean state Plateau. Innovative approaches been developed overcome these problems.

Language: Английский

Citations

46

Assessing mammal species richness and occupancy in a Northeast Asian temperate forest shared by cattle DOI
Jiawei Feng, Yifei Sun, Hailong Li

et al.

Diversity and Distributions, Journal Year: 2021, Volume and Issue: 27(5), P. 857 - 872

Published: Jan. 31, 2021

Abstract Aim Asian forests are becoming increasingly degraded and fragmented by the extensive intensification of anthropogenic activities; these activities threaten wildlife ecosystem sustainability. Facing a defaunation crisis, managers need more information on species assemblages to guide conservation efforts. We tested relative influence natural factors mammalian richness occupancy in temperate Northeast Asia. Location China. Methods Camera‐trapping data multispecies models were used estimate terrestrial mammal community working landscape assess community‐, group‐, species‐specific responses features while accounting for imperfect detection. Species grouped based body size, diet activity pattern. Results deployed 138 cameras photographed 21 over 22,976 trap days across China–Russia border. Both correlates varied their importance predicting presence different animals. Vegetation cover cattle found have significantly positive negative influences community‐level occupancy, respectively. The relationship with vegetation was most evident large or diurnal species; wild ungulate species. Large also negatively associated human settlements. predicted each station from 5 14 unique species, had mean probability 0.45 (95% credible interval = 0.09–0.86). generally lowest livestock grazing areas close Human is important than environmental variables. Main conclusions Our results highlight that primary disturbance impact richness. Multispecies helped identify drivers biodiversity declines will inform strategies human‐dominated landscapes forests. suggest planning seeks maximize forest protection services such as carbon storage.

Language: Английский

Citations

42

The research priorities of Resources and Environmental Sciences DOI Creative Commons
Bojie Fu, Yanxu Liu, Yan Li

et al.

Geography and sustainability, Journal Year: 2021, Volume and Issue: 2(2), P. 87 - 94

Published: April 19, 2021

Abstract The great challenges of sustainable development highlight an urgent need to systematically understand the mechanisms linking humans and nature. Resources Environmental Sciences are a broad practical discipline focused on coupled human natural systems. They aim study formation evolution resources in earth system, drivers various environmental problems, processes relationships between environment, particularly under combined impacts conditions activities. major problems drive development; international science programmes guide direction discipline; interdisciplinary transdisciplinary integration promotes new branches technological progress results research paradigm shift. Facing critical requirements strengthening trans- interdisciplinarity, breaking through key technology, targeting disaster issues, supporting development, nine scientific issues should be climate change impact adaptation, petroleum mineral resources, water cycle soil land ecosystems, remote sensing geographic information science, risk, global regional development. Suggestions enhancing funding systems, improve talent cultivation, develop platforms, strength cooperation provided this support policymaking. promotion enables more comprehensive in-depth understanding economic changes relevant assure

Language: Английский

Citations

42

Recent advances in the application of deep learning methods to forestry DOI
Yong Wang, Wei Zhang, Rui Gao

et al.

Wood Science and Technology, Journal Year: 2021, Volume and Issue: 55(5), P. 1171 - 1202

Published: June 26, 2021

Language: Английский

Citations

42

Fire Hazards: Socio-economic and Regional Issues DOI Creative Commons
Jesús Rodrigo‐Comino, Luca Salvati, Artemi Cerdà

et al.

Springer eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

Citations

8