GEOINFORMATION MODELING AND DIGITAL MONITORING OF PROTECTIVE FOREST PLANTATIONS: METHODOLOGY FOR INTEGRATING FIELD AND REMOTE DATA (CASE STUDY OF ZAKAMYA, REPUBLIC OF TATARSTAN)
Rubrics: AGRICULTURAL ECONOMICS AND POLICIES
Authors:
1.
Federal State Budgetary Educational Institution of Higher Education "Kazan State Agrarian University"
2.
Federal State Budgetary Educational Institution of Higher Education "Saint Petersburg State Forest Engineering University named after S.M. Kirov"
3.
Office of the Federal Service for Veterinary and Phytosanitary Surveillance in the Republic of Tatarstan
4.
Federal State Budgetary Educational Institution of Higher Education "Kazan State Agrarian University"
5.
Federal State Budgetary Educational Institution of Higher Education "Saint Petersburg State Forest Engineering University named after S.M. Kirov"
6.
Federal State Budgetary Educational Institution of Higher Education "Kazan State Agrarian University"
Type:
Article
eLocation:
Status:
Published
Received:
06.04.2025
Accepted:
15.04.2025
Published:
25.04.2025
Language:
Russian
Keywords:
geoinformacionnoe modelirovanie; zaschitnye lesnye nasazhdeniya; cifrovoy monitoring; distancionnoe zondirovanie; cifrovaya baza dannyh; agrolesomelioraciya
Abstract (English):
Protective forest plantations (PFP) play a crucial role in maintaining the ecological balance of agrolandscapes by performing functions such as soil erosion protection, microclimate improvement, biodiversity conservation, and increasing the productivity of agricultural lands. In the context of anthropogenic pressures and climate change, the use of geoinformation technologies for monitoring and managing the condition of PFP has become particularly relevant. This article provides a comprehensive analysis of the state of protective forest plantations in the studied areas of the Aznakaevsky municipal district, located in the Zakamye region of the Republic of Tatarstan, using methods of field inventory, remote sensing (with satellite imagery), and the creation of a unified digital database. A total of 105 plots were surveyed, allowing for a detailed characterization of the state of protective forest plantations and identification of their main functional features. Particular attention is given to identifying problematic areas and developing recommendations for the restoration and improvement of plantation conditions to ensure their sustainable functioning. The results of the study can be used to form regional programs for sustainable forest resource management and the preservation of the agroforestry potential of the territory.
Protective forest plantations (PFP) play a crucial role in maintaining the ecological balance of agrolandscapes by performing functions such as soil erosion protection, microclimate improvement, biodiversity conservation, and increasing the productivity of agricultural lands. In the context of anthropogenic pressures and climate change, the use of geoinformation technologies for monitoring and managing the condition of PFP has become particularly relevant. This article provides a comprehensive analysis of the state of protective forest plantations in the studied areas of the Aznakaevsky municipal district, located in the Zakamye region of the Republic of Tatarstan, using methods of field inventory, remote sensing (with satellite imagery), and the creation of a unified digital database. A total of 105 plots were surveyed, allowing for a detailed characterization of the state of protective forest plantations and identification of their main functional features. Particular attention is given to identifying problematic areas and developing recommendations for the restoration and improvement of plantation conditions to ensure their sustainable functioning. The results of the study can be used to form regional programs for sustainable forest resource management and the preservation of the agroforestry potential of the territory.
Keywords:
geoinformacionnoe modelirovanie; zaschitnye lesnye nasazhdeniya; cifrovoy monitoring; distancionnoe zondirovanie; cifrovaya baza dannyh; agrolesomelioraciya
geoinformacionnoe modelirovanie; zaschitnye lesnye nasazhdeniya; cifrovoy monitoring; distancionnoe zondirovanie; cifrovaya baza dannyh; agrolesomelioraciya
