Title: Real-time forests monitoring system based on IOT for forest and grassland primary production and biodiversity conservation
Authors: Sautkin Ilia Sergeevich; Rogova Tatiana Vladimirovna; Shaykhutdinova Galiya Adhatovna
Addresses: Kazan Federal University, 18 Kremlyovskaya Street, Kazan 420008, Russia ' Kazan Federal University, 18 Kremlyovskaya Street, Kazan 420008, Russia ' Kazan Federal University, 18 Kremlyovskaya Street, Kazan 420008, Russia
Abstract: Deforestation and the change of use of forests to simple ecosystems and the development of agricultural fields is a global crisis, and this problem has increased in Russia during the 20th century. The aim of this study was to investigate the effect of digitisation of agriculture and reduce the trend of land use change from forest to agriculture and release from agriculture on physical and chemical properties of soil in the forest ecosystem. The article presents the experience of the ecosystem production services evaluation of forest using aboveground plant species biomass, the plant functional traits, specific leaf area and community weighted average specific leaf area (CWM SLA). The major data process system that are necessary in monitoring the forest are proposed including tree cutting, fire, human interface, GIS location, soil and temperature sensing. The proposed IoT-based forest protection system works in two stages, first detect the situation and then send and process data of the affected area to data centre. It is concluded that the ecosystem production services of meadow communities can be successfully estimated using the calculation of the CWM SLA.
Keywords: ecosystem services; techno agricultural; community weighted average specific leaf area; CWM SLA; grassland communities; internet of things; IoT; forest protection.
International Journal of Agricultural Resources, Governance and Ecology, 2021 Vol.17 No.2/3/4, pp.402 - 413
Received: 19 Mar 2021
Accepted: 03 Jun 2021
Published online: 22 Mar 2022 *