Identifying priority areas for conservation: using ecosystem services hotspot mapping for land-use/land-cover planning in central of Iran

• Published in: Environmental management (New York) 2024-05, Vol.73 (5), p.1016-1031
• Main Authors: Abolmaali, Seyed Mohammad-reza, Tarkesh, Mostafa, Mousavi, Seyed Alireza, Karimzadeh, Hamidreza, Pourmanafi, Saeid, Fakheran, Sima
• Format: Article
• Language: English
• Subjects: Agricultural land; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Carbon; Carbon sequestration; Confidence intervals; Conservation; Conservation areas; Construction sites; Decision making; Earth and Environmental Science; Ecology; Ecosystem services; Ecosystems; Environment; Environmental Management; Environmental quality; Forestry Management; Habitats; Land cover; Land use; Land use management; Mapping; Nature Conservation; Population growth; Research hot spots; Retention; Soil erosion; Statistical analysis; Statistics; Waste Water Technology; Water Management; Water Pollution Control
• ISSN: 0364-152X; 1432-1009
• DOI: 10.1007/s00267-024-01944-y

The modeling and mapping of hotspots and coldspots ecosystem services (ESs) is an essential factor in the decision-making process for ESs conservation. Moreover, spatial prioritization is a serious stage in conservation planning. In the present research, based on the InVEST software, Getis–Ord statistics (G i * ), and a set of GIS methods, we quantified and mapped the variation and overlapping among three ESs (carbon storage, soil retention, and habitat quality). Furthermore, an approach was proffered for detecting priority areas to protect multiple ecosystem services. Hotspots recognized via the G i * statistics technique contain a higher capacity for supplying ESs than other areas. This means that protecting these areas with a bigger number of overlapped hotspots can provide more services. Results indicated that population growth accompanied by the increase in construction sites and low-yield agricultural lands in the Zayanderood dam watershed basin has resulted in ES losses. This situation is represented by increasing soil erosion, reduced carbon storage, reduced biodiversity, and fragmented habitat distribution due to land-use change. The statistically significant carbon storage, soil retention, and habitat quality hotspots with above 95% confidence level account for 21.5%, 39.3%, and 16.9% of the study area, respectively. Therefore, a clear framework was presented in this study for setting ES-based conservation priority. Decision makers and land-use planners can also combine this technique into their framework to identify and conserve ES hotspots to support their targeted ecosystem policies.