Landscape function analysis as a base of landscape visions

Abstract

An essential condition for the success of rural areas is the harmonious enforcement of ecologic, economic, and other educational, cultural, aesthetic goods/services of landscape, diversity of landscape functions. Landscape function analysis is a useful tool for the complex evaluation of rural regions. Using statistic and spatial data, we explored the landscape resources, potentials, and limitations of two pilot regions. But what about the future? Based on the landscape function analysis, we have defined special types of regions/landscape visions according to the long-term ability to retain population by the comparison of economic, production, and habitat value of the landscape.

Sustainability and Slovenian Karst Landscapes: Evaluation of a Low Karst Plain

“…Sustainability 2021, 13 Furthermore, based on the above analyses resulting from the three app following a similar approach used by Kovács et al [36], we constructed a mo different landscape types reflecting the population retention capacity of the ipalities in the future. According to the relationships between the three dime sented by sustainable development indicators, landscape types were ident narios regarding population retention capacity were described [24].…”

“…We only considered rural landscapes, and althou number of other landscape types, they are not relevant to this study. In the placed the municipalities within the model scenarios and finally we dealt w ternative scenarios (possible futures) for Bela krajina based on the model Furthermore, based on the above analyses resulting fr following a similar approach used by Kovács et al [36], we different landscape types reflecting the population retentio ipalities in the future. According to the relationships betwe sented by sustainable development indicators, landscape t narios regarding population retention capacity were describ are classified as low, medium and high, according to their c velopment as assessed in the quantitative analyses.…”

“…The thre are classified as low, medium and high, according to their contribution to su velopment as assessed in the quantitative analyses. 'Low' means that mor the indicators were assessed below the average of Bela krajina, while 'me that half of the indicators were assessed negatively and the other half positi scale means that more than half of the indicators used to evaluate the doma Furthermore, based on the above analyses resulting from the three approaches, and following a similar approach used by Kovács et al [36], we constructed a model matrix of different landscape types reflecting the population retention capacity of the three municipalities in the future. According to the relationships between the three dimensions represented by sustainable development indicators, landscape types were identified and scenarios regarding population retention capacity were described [24].…”

“…According to the relationships between the three dime sented by sustainable development indicators, landscape types were ident narios regarding population retention capacity were described [24]. The thre are classified as low, medium and high, according to their contribution to su Furthermore, based on the above analyses resulting from the three approaches, and following a similar approach used by Kovács et al [36], we constructed a model matrix of different landscape types reflecting the population retention capacity of the three municipalities in the future. According to the relationships between the three dimensions repre- Furthermore, based on the above analyses resulting from the three approaches, and following a similar approach used by Kovács et al [36], we constructed a model matrix of different landscape types reflecting the population retention capacity of the three municipalities in the future.…”

“…The thre are classified as low, medium and high, according to their contribution to su Furthermore, based on the above analyses resulting from the three approaches, and following a similar approach used by Kovács et al [36], we constructed a model matrix of different landscape types reflecting the population retention capacity of the three municipalities in the future. According to the relationships between the three dimensions repre- Furthermore, based on the above analyses resulting from the three approaches, and following a similar approach used by Kovács et al [36], we constructed a model matrix of different landscape types reflecting the population retention capacity of the three municipalities in the future. According to the relationships between the three dimensions represented by sustainable development indicators, landscape types were identified and sce- Quarrying/mining: Quarry locations were first identified from a 1984 map of quarrying and mining activities in Bela krajina [37], and then these locations were verified with Lidar data from 2014 and DOF from 2014/2015.…”