Insect Community Diversity in Photovoltaic Power Station and Its Response to Environmental Factors

To investigate the impact of PV power station construction on insect community diversity in the desert steppe of Ningxia and its response to environmental factors, insect communities were surveyed in different areas within the PV station (both under and between PV panels) and outside the station. The species composition, diversity differences, and responses to environmental factors of insect communities in these areas were analyzed. The results showed that a total of 19,833 insect specimens, belonging to 68 species and 23 families, were collected across different areas of the PV station. The dominant species within the PV station (both under and between PV panels) were <i>Labidura riparia japonica</i> (Dermaptera: Labiduridae), <i>Harpalus sinicus</i> (Coleoptera: Carabidae) and <i>Harpalus calceatus</i> (Coleoptera: Carabidae), while outside the station, the dominant species were <i>L. r. japonica</i>, <i>H</i>. <i>sinicus</i>, <i>H</i>. <i>calceatus</i> and <i>Harpalus pallidipennis</i> (Coleoptera: Carabidae). The number of species by feeding habit ranked as follows: phytophagous insects > predatory insects, whereas the abundance of individuals followed the order: predatory insects > phytophagous insects. The species richness, abundance, Margalef richness index, Shannon-Wiener index and Pielou evenness index of phytophagous insects were significantly higher outside the PV power station than inside (both under and between PV panels). In contrast, Simpson dominance index was significantly lower outside the PV power station compared to inside (both under and between PV panels). For predatory insects, no significant differences were observed in species richness, Margalef richness index, Shannon-Wiener diversity index, Simpson dominance index, or Pielou evenness index among different PV panel areas. However, the abundance of predatory insects was significantly higher outside the PV power station than inside (both under and between PV panels); phytophagous insects in the PV station were primarily positively driven by soil nutrients (total nitrogen, available potassium), whereas predatory insect diversity was more responsive to soil organic matter and nitrogen levels. Both predatory and phytophagous insects showed a significant negative correlation with vegetation height. This study holds significant importance for exploring biodiversity conservation within PV power stations, providing a scientific basis for the planning, design, and implementation of ecological protection measures during the operation of PV station in Ningxia's desert steppe.

Authors

Institutions

Publication Details

Journal
Biology
Published
2025-10-11
DOI
https://doi.org/10.3390/biology14101388
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

Insect Community Diversity in Photovoltaic Power Station and Its Response to Environmental Factors

Liping Ban, Wei Sun, Cheng Yan, Rong Zhang et al.
Biology
Photovoltaic Systems and Sustainability
article

Insect Community Diversity in Photovoltaic Power Station and Its Response to Environmental Factors

Liping Ban, Wei Sun, Cheng Yan, Rong Zhang, Xuewei Yin, Shuhua Wei, Ying Wang
article en

Abstract

To investigate the impact of PV power station construction on insect community diversity in the desert steppe of Ningxia and its response to environmental factors, insect communities were surveyed in different areas within the PV station (both under and between PV panels) and outside the station. The species composition, diversity differences, and responses to environmental factors of insect communities in these areas were analyzed. The results showed that a total of 19,833 insect specimens, belonging to 68 species and 23 families, were collected across different areas of the PV station. The dominant species within the PV station (both under and between PV panels) were <i>Labidura riparia japonica</i> (Dermaptera: Labiduridae), <i>Harpalus sinicus</i> (Coleoptera: Carabidae) and <i>Harpalus calceatus</i> (Coleoptera: Carabidae), while outside the station, the dominant species were <i>L. r. japonica</i>, <i>H</i>. <i>sinicus</i>, <i>H</i>. <i>calceatus</i> and <i>Harpalus pallidipennis</i> (Coleoptera: Carabidae). The number of species by feeding habit ranked as follows: phytophagous insects > predatory insects, whereas the abundance of individuals followed the order: predatory insects > phytophagous insects. The species richness, abundance, Margalef richness index, Shannon-Wiener index and Pielou evenness index of phytophagous insects were significantly higher outside the PV power station than inside (both under and between PV panels). In contrast, Simpson dominance index was significantly lower outside the PV power station compared to inside (both under and between PV panels). For predatory insects, no significant differences were observed in species richness, Margalef richness index, Shannon-Wiener diversity index, Simpson dominance index, or Pielou evenness index among different PV panel areas. However, the abundance of predatory insects was significantly higher outside the PV power station than inside (both under and between PV panels); phytophagous insects in the PV station were primarily positively driven by soil nutrients (total nitrogen, available potassium), whereas predatory insect diversity was more responsive to soil organic matter and nitrogen levels. Both predatory and phytophagous insects showed a significant negative correlation with vegetation height. This study holds significant importance for exploring biodiversity conservation within PV power stations, providing a scientific basis for the planning, design, and implementation of ecological protection measures during the operation of PV station in Ningxia's desert steppe.

BiologyVol. 14(10)
Institute of Plant Protection (CN), Ningxia Academy of Agriculture and Forestry Sciences (CN), China Agricultural University (CN)
Openalex Percentile: Top 74%
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.