From Remote Sensing to Species Distribution Modelling: An Integrated Workflow to Monitor Spreading Species in Key Grassland Habitats

编号 030029102

推送时间 20210517

研究领域 森林经理 

年份 2021 

类型 期刊 

语种 英语

标题 From Remote Sensing to Species Distribution Modelling: An Integrated Workflow to Monitor Spreading Species in Key Grassland Habitats

来源期刊 REMOTE SENSING

期 第291期

发表时间 20210513

关键词 habitat grasslands monitoring;  Brachypodium genuense;  vegetation dynamics;  Campo Imperatore plateau;  Sentinel-2;  Machine learning;  multispectral classification;  topographic species distribution models;  Natura 2000; 

摘要 Remote sensing (RS) has been widely adopted as a tool to investigate several biotic and abiotic factors, directly and indirectly, related to biodiversity conservation. European grasslands are one of the most biodiverse habitats in Europe. Most of these habitats are subject to priority conservation measure, and several human-induced processes threaten them. The broad expansions of few dominant species are usually reported as drivers of biodiversity loss. In this context, using Sentinel-2 (S2) images, we investigate the distribution of one of the most spreading species in the Central Apennine:?Brachypodium genuense. We performed a binary Random Forest (RF) classification of?B. genuense?using RS images and field-sampled presence/absence data. Then, we integrate the occurrences obtained from RS classification into species distribution models to identify the topographic drivers of?B. genuense?distribution in the study area. Lastly, the impact of?B. genuense?distribution in the Natura 2000 (N2k) habitats (Annex I of the European Habitat Directive) was assessed by overlay analysis. The RF classification process detected cover of?B. genuense?with an overall accuracy of 94.79%. The topographic species distribution model shows that the most relevant topographic variables that influence the distribution of?B. genuense?are slope, elevation, solar radiation, and topographic wet index (TWI) in order of importance. The overlay analysis shows that 74.04% of the?B. genuense?identified in the study area falls on the semi-natural dry grasslands. The study highlights the RS classification and the topographic species distribution model’s importance as an integrated workflow for mapping a broad-expansion species such as?B. genuense. The coupled techniques presented in this work should apply to other plant communities with remotely recognizable characteristics for more effective management of N2k habitats.

服务人员 付贺龙

服务院士 唐守正

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