Identification of spatial distribution and drivers for grasshopper populations based on geographic detectors
Grasshoppers are important elements for supporting ecosystem services which make it important to understand their spatial distribution characteristics to reduce outbreaks, implement effective control while minimizing non-target impacts. The spatial software package Geographical Detector (GD) was use...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-10-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23006428 |
| _version_ | 1797683149961953280 |
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| author | Shuhua Wei Xueqin Liu Mark Richard McNeill Ying Wang Wei Sun Xiongbing Tu Guangjun Wang Liping Ban Zehua Zhang Rong Zhang |
| author_facet | Shuhua Wei Xueqin Liu Mark Richard McNeill Ying Wang Wei Sun Xiongbing Tu Guangjun Wang Liping Ban Zehua Zhang Rong Zhang |
| author_sort | Shuhua Wei |
| collection | DOAJ |
| description | Grasshoppers are important elements for supporting ecosystem services which make it important to understand their spatial distribution characteristics to reduce outbreaks, implement effective control while minimizing non-target impacts. The spatial software package Geographical Detector (GD) was used to rank the interaction and effects of 19 environmental factors on the distribution of grasshopper species were quantified in four types of steppes in Northwestern, China. Results showed that the distribution of the insect was mainly influenced by elevation (q = 0.44). Among the factor interactions, elevation ∩ average annual precipitation (q = 0.795) was the strongest, followed by elevation ∩ soil available nitrogen (q = 0.722). Temperate meadow steppe and temperate steppe were identified as the areas at greatest risk for grasshopper’s occurrence. This research shows that the Geographical Detector could be provided a useful tool to identify the driving forces for grasshopper distribution. Our research also offers a new method to more broadly understand the interactions between different drivers to explain the distribution of other insects. |
| first_indexed | 2024-03-12T00:11:17Z |
| format | Article |
| id | doaj.art-9fba072b852945ac94da23fd9554caac |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-12T00:11:17Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-9fba072b852945ac94da23fd9554caac2023-09-16T05:29:07ZengElsevierEcological Indicators1470-160X2023-10-01154110500Identification of spatial distribution and drivers for grasshopper populations based on geographic detectorsShuhua Wei0Xueqin Liu1Mark Richard McNeill2Ying Wang3Wei Sun4Xiongbing Tu5Guangjun Wang6Liping Ban7Zehua Zhang8Rong Zhang9Institute of Plant Protection, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, ChinaInstitute of Plant Protection, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, ChinaAgResearch, Lincoln, Private Bag 4749, Canterbury 8140, New ZealandInstitute of Plant Protection, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, ChinaInstitute of Plant Protection, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, ChinaState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing 100193, ChinaState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing 100193, ChinaDepartment of Grassland Resources and Ecology, College of Grassland Science and Technology, China Agricultural University, Beijing 100193, ChinaState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Science, Beijing 100193, ChinaInstitute of Plant Protection, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, China; Corresponding author.Grasshoppers are important elements for supporting ecosystem services which make it important to understand their spatial distribution characteristics to reduce outbreaks, implement effective control while minimizing non-target impacts. The spatial software package Geographical Detector (GD) was used to rank the interaction and effects of 19 environmental factors on the distribution of grasshopper species were quantified in four types of steppes in Northwestern, China. Results showed that the distribution of the insect was mainly influenced by elevation (q = 0.44). Among the factor interactions, elevation ∩ average annual precipitation (q = 0.795) was the strongest, followed by elevation ∩ soil available nitrogen (q = 0.722). Temperate meadow steppe and temperate steppe were identified as the areas at greatest risk for grasshopper’s occurrence. This research shows that the Geographical Detector could be provided a useful tool to identify the driving forces for grasshopper distribution. Our research also offers a new method to more broadly understand the interactions between different drivers to explain the distribution of other insects.http://www.sciencedirect.com/science/article/pii/S1470160X23006428GrasslandsGeographic detectorsSpatial distributionRisk areaInteractions |
| spellingShingle | Shuhua Wei Xueqin Liu Mark Richard McNeill Ying Wang Wei Sun Xiongbing Tu Guangjun Wang Liping Ban Zehua Zhang Rong Zhang Identification of spatial distribution and drivers for grasshopper populations based on geographic detectors Ecological Indicators Grasslands Geographic detectors Spatial distribution Risk area Interactions |
| title | Identification of spatial distribution and drivers for grasshopper populations based on geographic detectors |
| title_full | Identification of spatial distribution and drivers for grasshopper populations based on geographic detectors |
| title_fullStr | Identification of spatial distribution and drivers for grasshopper populations based on geographic detectors |
| title_full_unstemmed | Identification of spatial distribution and drivers for grasshopper populations based on geographic detectors |
| title_short | Identification of spatial distribution and drivers for grasshopper populations based on geographic detectors |
| title_sort | identification of spatial distribution and drivers for grasshopper populations based on geographic detectors |
| topic | Grasslands Geographic detectors Spatial distribution Risk area Interactions |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23006428 |
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