Assessment of net primary productivity in urban open green spaces using the CASA model under climate change scenarios: The case of Adana, Türkiye

Urban areas are major sources of carbon dioxide (CO₂) and other greenhouse gas emissions due to high population density, land-use transformation, and intensive human activities, whereas urban open green spaces support climate change mitigation through vegetation productivity and ecosystem services. This study assesses the spatial distribution of Net Primary Productivity (NPP) in urban open green spaces in the central districts and surrounding areas of Adana Province, Türkiye, and evaluates its potential changes under future climate scenarios projected for 2100. NPP was used as an indicator of ecosystem productivity and potential carbon uptake and was calculated using the Carnegie–Ames–Stanford Approach (CASA) model. Sentinel-2-derived Normalized Difference Vegetation Index (NDVI) and land-cover data for 2022 were used together with temperature, precipitation, and solar radiation inputs. For future projections, temperature and precipitation outputs from the HadGEM3-GC31-LL climate model within the Coupled Model Intercomparison Project Phase 6 (CMIP6) framework were incorporated under the Shared Socioeconomic Pathways (SSP) SSP2-4.5 and SSP5-8.5 scenarios. The resulting NPP raster datasets were integrated with urban open green space polygons in a GIS environment to calculate mean NPP values for urban green spaces and urban areas. In 2022, NPP ranged from 0 to 332 g C m⁻² yr⁻¹, while mean NPP was 61.18 g C m⁻² yr⁻¹ in urban open green spaces and 29.40 g C m⁻² yr⁻¹ in urban areas. By 2100, mean NPP in urban open green spaces decreased to 56.82 g C m⁻² yr⁻¹ under SSP2-4.5 and to 46.68 g C m⁻² yr⁻¹ under SSP5-8.5. These results indicate that high-emission climate conditions may substantially reduce ecosystem productivity and potential carbon uptake. Protecting high-productivity green spaces, increasing tree canopy cover, and strengthening ecological connectivity are therefore important for climate-resilient urban planning and maintaining ecosystem services in rapidly urbanizing areas.

Authors

Institutions

Publication Details

Journal
Turkish Journal of Remote Sensing
Published
2026-10-05
DOI
https://doi.org/10.51489/tuzal.1945727
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of net primary productivity in urban open green spaces using the CASA model under climate change scenarios: The case of Adana, Türkiye

Süha Berberoğlu, Tuğba Akın
Turkish Journal of Remote Sensing
Land Use and Ecosystem Services
article

Assessment of net primary productivity in urban open green spaces using the CASA model under climate change scenarios: The case of Adana, Türkiye

Süha Berberoğlu, Tuğba Akın
article en

Abstract

Urban areas are major sources of carbon dioxide (CO₂) and other greenhouse gas emissions due to high population density, land-use transformation, and intensive human activities, whereas urban open green spaces support climate change mitigation through vegetation productivity and ecosystem services. This study assesses the spatial distribution of Net Primary Productivity (NPP) in urban open green spaces in the central districts and surrounding areas of Adana Province, Türkiye, and evaluates its potential changes under future climate scenarios projected for 2100. NPP was used as an indicator of ecosystem productivity and potential carbon uptake and was calculated using the Carnegie–Ames–Stanford Approach (CASA) model. Sentinel-2-derived Normalized Difference Vegetation Index (NDVI) and land-cover data for 2022 were used together with temperature, precipitation, and solar radiation inputs. For future projections, temperature and precipitation outputs from the HadGEM3-GC31-LL climate model within the Coupled Model Intercomparison Project Phase 6 (CMIP6) framework were incorporated under the Shared Socioeconomic Pathways (SSP) SSP2-4.5 and SSP5-8.5 scenarios. The resulting NPP raster datasets were integrated with urban open green space polygons in a GIS environment to calculate mean NPP values for urban green spaces and urban areas. In 2022, NPP ranged from 0 to 332 g C m⁻² yr⁻¹, while mean NPP was 61.18 g C m⁻² yr⁻¹ in urban open green spaces and 29.40 g C m⁻² yr⁻¹ in urban areas. By 2100, mean NPP in urban open green spaces decreased to 56.82 g C m⁻² yr⁻¹ under SSP2-4.5 and to 46.68 g C m⁻² yr⁻¹ under SSP5-8.5. These results indicate that high-emission climate conditions may substantially reduce ecosystem productivity and potential carbon uptake. Protecting high-productivity green spaces, increasing tree canopy cover, and strengthening ecological connectivity are therefore important for climate-resilient urban planning and maintaining ecosystem services in rapidly urbanizing areas.

Turkish Journal of Remote SensingVol. 8
Cukurova University (TR)
Openalex Percentile: Top 14%
Land Use and Ecosystem Services
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Assessment of net primary productivity in urban open green spaces using the CASA model under climate change scenarios: The case of Adana, Türkiye — Süha Berberoğlu, Tuğba Akın · Turkish Journal of Remote Sensing (2026) | TGRS Research Map | TGRS