Forest Inventory Data Provide Useful Information for Mapping Ecosystem Services Potential
Edgars Jūrmalis,
Arta Bārdule,
Jānis Donis,
Linda Gerra-Inohosa and
Zane Lībiete ()
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Edgars Jūrmalis: Latvian State Forest Research Institute Silava, LV-2169 Salaspils, Latvia
Arta Bārdule: Latvian State Forest Research Institute Silava, LV-2169 Salaspils, Latvia
Jānis Donis: Latvian State Forest Research Institute Silava, LV-2169 Salaspils, Latvia
Linda Gerra-Inohosa: Latvian State Forest Research Institute Silava, LV-2169 Salaspils, Latvia
Zane Lībiete: Latvian State Forest Research Institute Silava, LV-2169 Salaspils, Latvia
Land, 2023, vol. 12, issue 10, 1-19
Abstract:
The ecosystem services framework is a convenient approach for identifying and mapping nature’s contributions to people, and an accurate assessment of ecosystem services potential is the first step in the decision support process of well-informed land management planning. The approach we use for forest ecosystem services potential assessment in Latvia is based on the principles of the matrix model and biophysical data of the forest inventory database, and it is comparable to other assessments previously carried out in the Baltic Sea Region. The proposed approach supports spatial planning and may be integrated with assessments of other ecosystems based on the same methodological principles. The evaluation results reflect the high spatial heterogeneity of forest types in Latvia. Future work should include integrating ecosystem services flows and demand into the assessment, developing additional indicators for culturally important ecosystem services, and introducing socio-cultural valuation to account for a broader set of stakeholders and values.
Keywords: forest management planning; ecosystem services indicators; forest structure; stand attributes; CICES; matrix model (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:10:p:1836-:d:1247918
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