Photovoltaic arrays repartition soil carbon pools and carbon-cycling functional potential across microhabitats in arid ecosystems

Context Large-scale photovoltaic (PV) development in arid and semi-arid regions provides clean energy, yet its effects on soil carbon (C) pools and C-cycling functional potential remain insufficiently resolved at within-array (microhabitat) scales. Aims To test whether PV-induced microhabitat heterogeneity restructures soil C pools and C-cycling functional potential, and to identify the key environmental factors underlying these patterns. Methods Soils (0–10 cm) were sampled from four PV microhabitats – front-of-panel (FP), under-panel (UP), rear-of-panel (RP), and inter-row (IP) – and adjacent controls (CK) across eight PV parks. Soil organic C (SOC), total organic C (TOC), and dissolved organic C (DOC) were measured, and C pool indices were calculated. The C-cycling functional potential was quantified using the Quantitative Microbial Element Cycling high-throughput quantitative PCR platform, with gene-marker abundance spanning C degradation, C fixation, and methane cycling. Pearson correlations and redundancy analysis were used to relate marker patterns to microclimate, soil physicochemical properties, and vegetation attributes. Key results The PV arrays generated pronounced microhabitat-scale divergence in soil C pools: SOC and TOC were higher in FP and RP than in CK, markedly lower in IP (P < 0.05), and not significantly different between UP and CK. The C pool management index showed the same spatial structure, while the C dissolved fraction (DOC:SOC) was highest in IP (P < 0.05). Gene-marker abundance was consistently structured by microhabitat, with generally higher abundance in FP and lower abundance in IP; RP and UP showed distinct marker profiles (P < 0.05). Across markers, higher abundance was associated with greater SOC/TOC and vegetation attributes, and with lower soil bulk density and pH (P < 0.05). Conclusions The PV installations repartition soil C pools and microbial functional potential into microhabitat-specific accumulation and depletion zones. Implications Microhabitat-targeted management – enhancing panel-edge plant-derived inputs, alleviating inter-row compaction, and addressing alkaline constraints – can improve soil C outcomes in arid PV landscapes.

Authors

Institutions

Publication Details

Journal
Soil Research
Published
2026-07-16
DOI
https://doi.org/10.1071/sr25200
Primary Topic
Photovoltaic Systems and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Photovoltaic arrays repartition soil carbon pools and carbon-cycling functional potential across microhabitats in arid ecosystems

Xun Tang, Wenjie Nie, Hao Sun, Xuxi Che et al.
Soil Research
Photovoltaic Systems and Sustainability
article

Photovoltaic arrays repartition soil carbon pools and carbon-cycling functional potential across microhabitats in arid ecosystems

Xun Tang, Wenjie Nie, Hao Sun, Xuxi Che, Mengyu Wang, Huadong Du
article en

Abstract

Context Large-scale photovoltaic (PV) development in arid and semi-arid regions provides clean energy, yet its effects on soil carbon (C) pools and C-cycling functional potential remain insufficiently resolved at within-array (microhabitat) scales. Aims To test whether PV-induced microhabitat heterogeneity restructures soil C pools and C-cycling functional potential, and to identify the key environmental factors underlying these patterns. Methods Soils (0–10 cm) were sampled from four PV microhabitats – front-of-panel (FP), under-panel (UP), rear-of-panel (RP), and inter-row (IP) – and adjacent controls (CK) across eight PV parks. Soil organic C (SOC), total organic C (TOC), and dissolved organic C (DOC) were measured, and C pool indices were calculated. The C-cycling functional potential was quantified using the Quantitative Microbial Element Cycling high-throughput quantitative PCR platform, with gene-marker abundance spanning C degradation, C fixation, and methane cycling. Pearson correlations and redundancy analysis were used to relate marker patterns to microclimate, soil physicochemical properties, and vegetation attributes. Key results The PV arrays generated pronounced microhabitat-scale divergence in soil C pools: SOC and TOC were higher in FP and RP than in CK, markedly lower in IP (P < 0.05), and not significantly different between UP and CK. The C pool management index showed the same spatial structure, while the C dissolved fraction (DOC:SOC) was highest in IP (P < 0.05). Gene-marker abundance was consistently structured by microhabitat, with generally higher abundance in FP and lower abundance in IP; RP and UP showed distinct marker profiles (P < 0.05). Across markers, higher abundance was associated with greater SOC/TOC and vegetation attributes, and with lower soil bulk density and pH (P < 0.05). Conclusions The PV installations repartition soil C pools and microbial functional potential into microhabitat-specific accumulation and depletion zones. Implications Microhabitat-targeted management – enhancing panel-edge plant-derived inputs, alleviating inter-row compaction, and addressing alkaline constraints – can improve soil C outcomes in arid PV landscapes.

Soil ResearchVol. 64(5)
Xi'an University of Science and Technology (CN), Gansu Coalfield Geology Bureau (CN), Xi'an University of Technology (CN), Tiandi Science & Technology (China) (CN), Shaanxi Yulin Energy Group (CN)
Openalex Percentile: Top 14%
Photovoltaic Systems and Sustainability
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.