Photovoltaic arrays repartition soil carbon pools and carbon-cycling functional potential across microhabitats in arid ecosystems
乾燥生態系における太陽光発電アレイが微小生息地間での土壌炭素プールと炭素循環機能ポテンシャルを再分配する (AI 翻訳)
Huadong Du, Mengyu Wang, Wenjie Nie, Xun Tang, Xuxi Che, Hao Sun
🤖 gxceed AI 要約
日本語
乾燥地の大規模太陽光発電施設が、パネル下や列間などの微小生息地で土壌炭素プールと炭素循環機能を大きく変化させることを実証。パネル前端部では炭素蓄積が促進される一方、列間では減少し、微生物機能活性も同様の空間パターンを示した。
English
Large-scale photovoltaic arrays in arid ecosystems create microhabitat-specific effects on soil carbon pools and carbon-cycling microbial functions. Front-of-panel zones accumulate carbon while inter-row areas lose carbon, with corresponding functional shifts in microbial communities.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本でも太陽光発電の普及に伴い、土地改変による炭素収支への影響が注目されている。本知見は、パネル配置の工夫や植生管理を通じた土壌炭素保全の可能性を示唆する。
In the global GX context
As solar energy expands globally, understanding land-use impacts on carbon cycling is critical for accurate lifecycle accounting and nature-based solutions. This study reveals microhabitat-scale carbon dynamics that can inform siting and management of solar farms.
👥 読者別の含意
🔬研究者:Provides empirical evidence on how PV arrays restructure soil carbon pools and microbial functions at fine spatial scales.
🏢実務担当者:Suggests targeted microhabitat management (e.g., enhancing panel-edge vegetation, alleviating compaction) to improve soil carbon outcomes in solar farms.
🏛政策担当者:Highlights the need to consider soil carbon impacts in renewable energy land-use policies and carbon accounting frameworks.
📄 Abstract(原文)
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.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1071/sr25200first seen 2026-07-18 05:51:20
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