TY - JOUR
T1 - A Quantitative Evaluation of Landscape Patterns’ Impact on Soil Quality
T2 - A Regional-Scale Case Study
AU - Alogaidi, Makram Akram Hassan
AU - Asadzadeh, Farrokh
AU - Rezapour, Salar
AU - Khosravi Aqdam, Kamal
AU - Shabani, Farzin
PY - 2025/2/7
Y1 - 2025/2/7
N2 - The quality of soil (SQ) serves as an indicator of its productive capacity, determined by a combination of biophysical and chemical attributes. These attributes experience alterations influenced by landscape patterns. To elucidate this correlation, our study aims to scrutinize the influence of landscape patterns on SQ in the northwest region of Iran. A total of 350 soil samples were collected, and 18 soil properties were measured through laboratory analysis. Linear soil quality indices (SQIs) were calculated using two methods: the total data set (TDS) and the minimum data set (MDS). Landscape metrics—including density, dominance, shape, aggregation, and diversity—were derived from a land use map. We analyzed the relationship between landscape pattern properties and SQ across distinct land units. Our findings revealed that the western and southwestern regions of this area exhibited low SQ, while the eastern and northeastern regions displayed high SQ, aligning with the outcomes of hot and cold spot analysis. High SQ and hot spot points were concentrated in land unit 1.22, whereas low SQ and cold spot points were prevalent in land unit 1.4. A significant correlation was identified between landscape metrics and SQIs, with density, dominance, and diversity showing stronger associations than shape and aggregation. These findings highlight the critical role of land use changes in shaping SQ by altering landscape patterns, providing valuable insights for sustainable land management practices in arid regions.
AB - The quality of soil (SQ) serves as an indicator of its productive capacity, determined by a combination of biophysical and chemical attributes. These attributes experience alterations influenced by landscape patterns. To elucidate this correlation, our study aims to scrutinize the influence of landscape patterns on SQ in the northwest region of Iran. A total of 350 soil samples were collected, and 18 soil properties were measured through laboratory analysis. Linear soil quality indices (SQIs) were calculated using two methods: the total data set (TDS) and the minimum data set (MDS). Landscape metrics—including density, dominance, shape, aggregation, and diversity—were derived from a land use map. We analyzed the relationship between landscape pattern properties and SQ across distinct land units. Our findings revealed that the western and southwestern regions of this area exhibited low SQ, while the eastern and northeastern regions displayed high SQ, aligning with the outcomes of hot and cold spot analysis. High SQ and hot spot points were concentrated in land unit 1.22, whereas low SQ and cold spot points were prevalent in land unit 1.4. A significant correlation was identified between landscape metrics and SQIs, with density, dominance, and diversity showing stronger associations than shape and aggregation. These findings highlight the critical role of land use changes in shaping SQ by altering landscape patterns, providing valuable insights for sustainable land management practices in arid regions.
KW - Hot and cold spot analysis
KW - Land use change
KW - Landscape metrics
KW - Landscape patterns
KW - Soil properties
KW - Soil quality
UR - http://www.scopus.com/inward/record.url?scp=85218005085&partnerID=8YFLogxK
U2 - 10.1007/s41748-024-00565-z
DO - 10.1007/s41748-024-00565-z
M3 - Article
AN - SCOPUS:85218005085
SN - 2509-9426
JO - Earth Systems and Environment
JF - Earth Systems and Environment
ER -
