首页|基于无人机采集样本预测黄河源区小花草玉梅的时空分布

基于无人机采集样本预测黄河源区小花草玉梅的时空分布

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小花草玉梅(Anemone rivularis)是多年生草本植物,在黄河源区分布较为广泛,其过量分布会限制当地草地畜牧业发展,并导致生态系统稳定性和服务功能下降。目前尚没有在区域尺度上开展小花草玉梅时空分布的研究,基础分布数据集和高效、高精度观测方法的缺失是主要限制因素之一。本研究利用自主开发的无人机路径规划和信息提取系统(FragMAP)在黄河源区布设 404 个样本采集点并获取小花草玉梅的基础分布数据,通过物种分布集成预测平台(BIOMOD)明晰关键的影响因素,模拟小花草玉梅的潜在分布,并预测未来不同气候情景下其在黄河源区的空间分布规律以及适宜生境的变化。结果表明:1)黄河源区小花草玉梅的空间分布主要受年均降水、土壤pH和年均温度等因素的影响。2)在当前气候情景下小花草玉梅主要分布于黄河源区东南部的红原县、阿坝县、玛曲县和若尔盖县等区域。3)在未来气候情景下,小花草玉梅的空间分布随着未来气温的升高呈扩大趋势。本研究首次在黄河源区刻画了小花草玉梅的分布特征并预测其在不同气候情境下的演变趋势,为高寒草地开展毒杂草的适时防控、合理管理和利用提供技术支持。
Prediction of the spatial and temporal distribution pattern of Anemone rivularis based on samples collected in a source region of the Yellow River using UAV
Anemone rivularis is a perennial herb widely distributed in alpine grassland in the source region of the Yellow River(SRYR).It is one of the main poisonous weeds that restrict the development of local grassland animal husbandry and lead to declining ecosystem stability and service function.So far,no research has been conducted on the spatial and temporal distribution of A.rivularis at the regional scale.The main limiting factors are the lack of basic distribution data sets and efficient and high-precision observation methods.This study used unmanned aerial vehicle(UAV)near-ground remote sensing technology and FragMAP to set up sample collection plots in SRYR and obtained the basic distribution data set of A.rivularis.BIOMOD was used to simulate the potential distribution of A.rivularis and explore the spatial distribution patterns and habitat suitability of A.rivularis in the SRYR under different future climate scenarios.The study's results were as follows:1)the spatial distribution of A.rivularisis influenced by precipitation,soil pH,and average annual temperature,2)A.rivularis is primarily distributed in the southeast regions of the SRYR under the current climate scenario,3)the proportion of extremely suitable habitats for A.rivularis under future climate scenarios generally increases with a rise in temperature.This study depicted the spatial and temporal distribution of A.rivularis at the regional scale,which provides a scientific basis for timely prevention and control,rational management,and utilization of the poisonous weeds on alpine grassland.

UAVBIOMODpoisonous weedspecies distribution modelFragMAPsuitable habitatensemble model

赵茜蕾、斗尕杰布、沈羽彤、扎西加措、孙子墨、唐凤霓、廖雅芳、刘坤博、党泽加、斗拉加、孙义

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南通大学脆弱生态环境研究所/南通大学地理科学学院,江苏南通 226019

黄南州泽库县草原工作站,青海泽库 811400

甘南州玛曲县阿孜畜牧科技示范园区,甘肃玛曲 747300

黄南州泽库县农牧水利综合行政执法大队,青海泽库 811400

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无人机 BIOMOD 毒杂草 物种分布模型 FragMAP 适宜生境 组合模型

国家自然科学基金资助项目国家自然科学基金资助项目大学生创新创业训练计划项目大学生创新创业训练计划项目

4207105631901393202320304054Z202310304145Y

2024

草业科学
中国草原学会 兰州大学草地农业科技学院

草业科学

CSTPCD北大核心
影响因子:0.854
ISSN:1001-0629
年,卷(期):2024.41(2)
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