iNaturalist data for: Multi-taxon biodiversity responses to the 2019–2020 Australian megafires

Conditions conducive to fires are becoming increasingly common and widespread under climate change. Recent fire events across the globe have occurred over unprecedented scales, affecting a diverse array of species and habitats. Understanding biodiversity responses to such fires is critical for conservation. Quantifying post-fire recovery is problematic across taxa, from insects to plants to vertebrates, especially at large geographic scales. Novel datasets can address this challenge. We use presence-only citizen science data from iNaturalist, collected before and after the 2019-2020 megafires in burnt and unburnt regions of eastern Australia, to quantify the effect of post-fire diversity responses, up to 18 months post-fire. The geographic, temporal, and taxonomic sampling of this dataset was large, but sampling effort and species discoverability were unevenly spread. We used rarefaction and prediction (iNEXT) with which we controlled sampling completeness among treatments, to estimate ...

气候变化背景下，火灾易发条件正愈发普遍且扩散范围不断扩大。近年来全球范围内的火灾事件规模空前，波及众多物种与多样栖息地。明晰生物多样性对这类火灾的响应规律，对生物保护工作至关重要。量化火灾后不同类群（涵盖昆虫、植物至脊椎动物）的恢复情况颇具挑战，在大地理尺度下尤为突出。新型数据集可有效应对这一难题。本研究采用来自iNaturalist的仅存在记录型公民科学数据，采集时段覆盖2019-2020年澳大利亚东部巨型火灾发生的前后阶段，采样区域覆盖该区域的过火与未过火地块，以此量化火灾后最长18个月内的生物多样性响应效应。该数据集的地理、时间与分类学采样覆盖范围极广，但采样投入与物种发现率分布不均。我们采用稀疏化与预测分析工具（iNEXT），通过控制不同处理组间的采样完备性，以估算……