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基于無(wú)人機(jī)航拍和生態(tài)位模型的草原毛蟲(chóng)宜生區(qū)研究
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青海省自然科學(xué)基金項(xiàng)目(2019-ZJ-7054)和祁連山國(guó)家公園草地害蟲(chóng)調(diào)查監(jiān)測(cè)項(xiàng)目(青林保[2021]485號(hào))


Mapping Inhabitable Area of Gynaephora alpherakii Based on UAV Observation and Ecological Niche Model
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    摘要:

    受觀測(cè)手段限制,目前對(duì)區(qū)域尺度草原毛蟲(chóng)(Gynaephora alpherakii)空間分異特征和宜生區(qū)分布尚不清楚,本研究基于無(wú)人機(jī)航拍分析系統(tǒng)獲取祁連山國(guó)家公園青海片區(qū)高寒草原毛蟲(chóng)空間分異特征,結(jié)合BIOMOD生態(tài)位模型和觀測(cè)樣地所對(duì)應(yīng)草地植被、土壤、氣候和地形等環(huán)境因子,獲取祁連山國(guó)家公園青海片區(qū)歷年草原毛蟲(chóng)生態(tài)位,劃分草原蟲(chóng)害宜生區(qū)。結(jié)果表明:所有野外觀測(cè)樣點(diǎn)中,草原毛蟲(chóng)空間分布異質(zhì)性較大,其出現(xiàn)的觀測(cè)樣點(diǎn)占所有觀測(cè)的5.77%,不同監(jiān)測(cè)點(diǎn)總數(shù)為1~2046頭,同一監(jiān)測(cè)點(diǎn)內(nèi)為0~136頭。所有生態(tài)位模型中,RF模型對(duì)草原毛蟲(chóng)生態(tài)位模擬精度最高,Kappa系數(shù)、TSS和AUC分別為0.6、0.75和0.93。草原毛蟲(chóng)一級(jí)到三級(jí)宜生區(qū)面積較?。ㄕ伎偯娣e的14.68%),主要分布于研究區(qū)中東部,四級(jí)和五級(jí)宜生區(qū)面積較大(占總面積的85.32%),主要分布在研究區(qū)西部。無(wú)人機(jī)航拍技術(shù)高效地提供了草原毛蟲(chóng)空間分布研究的基礎(chǔ)數(shù)據(jù),可為進(jìn)一步定量認(rèn)識(shí)草原毛蟲(chóng)的生態(tài)學(xué)地位及蟲(chóng)害預(yù)警、防控措施的制定提供理論和實(shí)踐基礎(chǔ)。

    Abstract:

    Gynaephora alpherakii (GA) is mainly distributed in the Qinghai-Tibet Plateau of China. As one of the most important insect pests, the occurrence of the GA seriously affects the growth of grass, reducing the grassland production and preventing the development of the animal husbandry. It is vital for monitoring its biological characteristics, occurrence regularity, quantitative changes and main effect factors. However, limited by the field observation,the spatial distribution and inhabitable area were still unclear. The regional distribution (Qilian Mountain National Park in Qinghai Province) was investigated based on UAV aerial photographing technology. The ecological niche was constructed based on the environmental factors (grassland vegetation, soil, climate and topography), combined with field observation and BIOMOD. Based on the above mentioned, the inhabitable area of GA was divided. The results showed that among the all field observation sites, the spatial distribution of prairie caterpillars was heterogeneous, with the number of variations from 1 to 2046 in different observation sites and 0 to 136 in different aerial photographs;the random forest model exhibited the best performance with Kappa, TSS and AUC were 0.6, 0.75 and 0.93, respectively;the inhabitable area of the first-grade to the third-grade was small with 14.68% of study area, and located in mid-eastern of study area, the inhabitable area of the fourth-grade and the fifth-grade was large with 85.32% of study area, mainly located in western of study area. The research result showed that UAV can be potentially used to obtain the basic data for GA distribution modeling, which provided a theoretical and practical basis for further quantitative understanding of the ecological status and help for the early warning and management practices of GA outbreak.

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于紅妍,張世榮,趙興群,宜樹(shù)華,孟寶平,呂燕燕.基于無(wú)人機(jī)航拍和生態(tài)位模型的草原毛蟲(chóng)宜生區(qū)研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2023,54(3):224-233. YU Hongyan, ZHANG Shirong, ZHAO Xingqun, YI Shuhua, MENG Baoping, Lü Yanyan. Mapping Inhabitable Area of Gynaephora alpherakii Based on UAV Observation and Ecological Niche Model[J]. Transactions of the Chinese Society for Agricultural Machinery,2023,54(3):224-233.

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  • 收稿日期:2022-06-14
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  • 在線發(fā)布日期: 2023-03-10
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