scholarly journals Exploring Forest Diversity and Ecosystem Services Using Big Data and Empirical Dynamic Modeling

2018 ◽  
Author(s):  
James V Watson
Keyword(s):  
Big Data ◽  
Ecosystem Services ◽  
Dynamic Modeling ◽  
Forest Diversity

Development of an IoT system for sensing monitoring of soil properties

2020 ◽  
Author(s):  
Byeongchul Lee ◽  
Kyoung Jae Lim ◽  
Jae E Yang ◽  
Dong Seok Yang ◽  
Jiyoeng Hong
Keyword(s):  
Big Data ◽  
Ecosystem Services ◽  
Soil Properties ◽  
Real Time ◽  
System Analysis ◽  
Vital Role ◽  
Data System ◽  
Soil Sensors ◽  
Soil Ecosystem Services ◽  
Time Basis

<p>In the age of big data, constructing a database plays a vital role in various fields. Especially, in the agricultural and environmental fields, real-time databases are useful because the fields are easily affected by dynamic nature phenomena. To construct a real-time database in these fields, various sensors and an Internet of Things (IoT) system have been widely used. In this study, an IoT system was developed to construct soil properties database on a real-time basis and aim to a big data system analysis that can assess ecosystem services provided from soil resources. The IoT system consisted of three types of soil sensors, main devices, sensor connectors, and subsidiary devices. The IoT system can measure soil temperature, moisture, and electrical conductivity (EC) data on a five-minute interval. Also, the devices were applied to two test-beds near Chuncheon city in South Korea and have been testing for the stability and availability of the system. In a further study, we will add various soil sensors and functions into the developed IoT system to improve their availability. If the developed IoT system becomes to be stable and functional, it can contribute to constructing soil properties database on a real-time basis and a big data system that assesses soil ecosystem services.</p>

Integrated earth system dynamic modeling for life cycle impact assessment of ecosystem services

2014 ◽  
Vol 472 ◽  
pp. 262-272 ◽  
Author(s):  
Damien Arbault ◽  
Mylène Rivière ◽  
Benedetto Rugani ◽  
Enrico Benetto ◽  
Ligia Tiruta-Barna
Keyword(s):  
Life Cycle ◽  
Ecosystem Services ◽  
Impact Assessment ◽  
Dynamic Modeling ◽  
Life Cycle Impact Assessment ◽  
System Dynamic ◽  
Earth System ◽  
Life Cycle Impact

scholarly journals Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographs

2019 ◽  
Vol 11 (1) ◽  
pp. 558-571 ◽  
Author(s):  
Aitor Àvila Callau ◽  
María Yolanda Pérez Albert ◽  
Joan Jurado Rota ◽  
David Serrano Giné
Keyword(s):  
Social Media ◽  
Big Data ◽  
Content Analysis ◽  
Ecosystem Services ◽  
Protected Area ◽  
Depth Information ◽  
Natural Park ◽  
Landscape Characterization ◽  
Automated Content Analysis ◽  
Natural Landscapes

Abstract Landscape characterisation using social media photographs from popular platforms has been proposed as a landscape and ecosystem services approach. However, popular crowdsourced websites provide uncharacterized data and are only representative of the general public. Photographs from crowdsourced sports platforms, whose users are more homogeneous, could help to characterise landscape more uniformly. In this study we use automated content analysis from photographs on Wikiloc, a crowd-sourced sports platform, to characterize landscape in the Ebro Delta Natural Park, a protected area in Spain. Our approach applies big data procedures and spatial analysis to provide in-depth information regarding what draws visitors’ attention to a landscape and to ascertain their intrasite flow. Our results show that sports users are keen on natural landscapes and pay less attention to rural and degraded landscapes, and that areas closer to paths are more photographed than more distant areas.

Spatial Dynamic Modeling of Ecological and Agricultural Land Preservation Strategies for Sustainable Urban Development in Nanjing, China

2020 ◽  
Author(s):  
Zipan Cai ◽  
Si Chen ◽  
Vladimir Cvetkovic
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Ecosystem Services ◽  
Environmental Impact ◽  
Dynamic Modeling ◽  
Agricultural Land ◽  
Urban Land ◽  
Urban Land Use ◽  
Ecological Environment ◽  
Spatial Dynamic

<p>In the context of accelerated urbanization, ecological and agricultural lands are continuously sacrificed for urban construction, which may severely affect the urban ecological environment and the health of citizens in cities in the long-term. To explore the sustainable development of cities, it is of considerable significance to study the complex and non-linear coupling relationship between urban expansion and the ecological environment. Different from static quantitative analysis, this paper will establish a spatial dynamic modeling approach couples the urban land-use change and ecosystem services. The spatial dynamic modeling approach combines a network-based analysis method with accurate environmental assessments, which includes a causal change mechanism that simplifies the complex interaction between the urban system and the surrounding environment. Because the model can use a pre-determined cell transformation rules to simulate the conversion probability of land cells at a specific point in time, it provides the opportunity to test the impact of changes in different policy scenarios. In the phase of the environmental impact assessment, the change probability will be converted into an environmental impact based on the calculation of the ecosystem services values under different development scenarios. Taking Nanjing, a rapidly developing city in China as an example, this paper will set up a variety of sustainable development policy scenarios based on the feedback relationship of local land use driving factors. We will test and evaluate the “what-if” consequences through a comparative study to help design the optimal environmental regulation scheme. Planning and decision support will be made to further guide the rational allocation of land use parcel and land development intensity towards a sustainable development future. As a result, this study can support policy decision makings on urban land-use planning and achieve ecological and agricultural land preservation strategies.</p>

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