A5047557226- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Plant and animal studies
- Animal and Plant Science Education
- Remote Sensing in Agriculture
- Lepidoptera: Biology and Taxonomy
- Wildlife Ecology and Conservation
- Plant Parasitism and Resistance
- Plant and Fungal Species Descriptions
- Plant Ecology and Taxonomy Studies
- Remote Sensing and LiDAR Applications
- Fish Ecology and Management Studies
- Environmental DNA in Biodiversity Studies
- Animal Behavior and Reproduction
- Land Use and Ecosystem Services
- Mycorrhizal Fungi and Plant Interactions
- Plant Diversity and Evolution
- Freshwater macroinvertebrate diversity and ecology
- Fire effects on ecosystems
- Medieval European History and Architecture
- Linguistic and Cultural Studies
- Plant responses to elevated CO2
- Data Analysis with R
- Scientific Computing and Data Management
- Evolution and Paleontology Studies
Florida Museum of Natural History
2019-2025
University of Florida
2019-2025
Michigan State University
2024-2025
Mississippi State University
2023-2024
Central Michigan University
2018-2019
Benchmark studies of insect populations are increasingly relevant and needed amid accelerating concern about trends in the Anthropocene. The growing recognition that may be decline has given rise to a renewed call for population monitoring by scientists, desire from broader public participate surveys. However, due immense diversity insects vast assortment data collection methods, there is general lack standardization such sudden unplanned expansion fail meet its ecological potential or...
Abstract The availability of citizen science data has resulted in growing applications biodiversity science. One widely used platform, iNaturalist, provides millions digitally vouchered observations submitted by a global user base. These observation records include date and location but otherwise do not contain any information about the sampling process. As result, biases must be inferred from themselves. In present article, we examine spatial temporal iNaturalist platform's launch 2008...
Abstract Here, we present the largest, global dataset of Lepidopteran traits, focusing initially on butterflies ( ca . 12,500 species records). These traits are derived from field guides, taxonomic treatments, and other literature resources. We wing size, phenology,voltinism, diapause/overwintering stage, hostplant associations, habitat affinities (canopy, edge, moisture, disturbance). This will facilitate comparative research butterfly ecology evolution our goal is to inspire future...
Abstract The iNaturalist platform generates millions of research-grade biodiversity records via a system in which users collectively reach consensus on taxonomic identification. In the present article, we examine how identifiers and their efforts, an understudied component platform, support data generation. Identification is keeping pace with rapid growth observations, assisted by small subset highly active who tend to be taxonomically specialized. Identifier experience primary determinant...
Abstract Premise Astragalus (Fabaceae), with more than 3000 species, represents a globally successful radiation of morphologically highly similar species predominant across the northern hemisphere. It has attracted attention from systematists and biogeographers, who have asked what factors might be behind extraordinary diversity this important arid‐adapted clade sets it apart close relatives far less richness. Methods Here, for first time using extensive phylogenetic sampling, we whether (1)...
Citizen science platforms for sharing photographed digital vouchers, such as iNaturalist, are a promising source of phenology data, but methods and best practices use have not been developed. Here we introduce using
Abstract A wave of green leaves and multi‐colored flowers advances from low to high latitudes each spring. However, little is known about how flowering offset (i.e., ending flowering) duration populations the same species vary along environmental gradients. Understanding these patterns critical for predicting effects future climate land‐use change on plants, pollinators, herbivores. Here, we investigated potential climatic landscape drivers onset, offset, 52 plant with varying key traits. We...
Abstract Phenology is one of the most immediate responses to global climate change, but data limitations have made examining phenology patterns across greater taxonomic, spatial and temporal scales challenging. One significant opportunity leveraging rapidly increasing resources from digitized museum specimens community science platforms, this assumes reliable statistical methods are available estimate using presence‐only data. Estimating onset or offset key events especially difficult with...
Aggregate biodiversity data from museum specimens and community observations have promise for macroscale ecological analyses. Despite this, many groups are under‐sampled, sampling is not homogeneous across space. Here we used butterflies, the best documented group of insects, to examine inventory completeness North America. We separated digitally accessible butterfly records into those natural history collections burgeoning science determine if these sources differential spatio‐taxonomic...
Abstract Recent reports of insect declines have raised concerns about the potential for concomitant losses to ecosystem processes. However, understanding causes and consequences is challenging, especially given data deficiencies most species. Needed are approaches that can help quantify magnitude at levels above Here we present an analytical framework assessing broad‐scale plant–insect phenologies their relationship community‐level abundance patterns. We intentionally apply a species‐neutral...
Broad-scale, quantitative assessments of insect biodiversity and the factors shaping it remain particularly poorly explored. Here we undertook a spatial phylogenetic analysis North American butterflies to test whether climate stability temperature gradients have shaped their diversity endemism. We also performed first comparisons patterns between flowering plants. expected concordance two groups based on shared historical environmental drivers presumed strong butterfly-host plant...
Rarely have studies assessed Odonata diversity for the entire Nearctic realm by including Canada, United States, and Mexico. For first time, we explored in this region according to a definition of natural community assemblages generated species distribution models (SDMs). Species occurrence data were assembled reviewing databases specimens held significant repositories through an extensive search literature references. categorized as forest-dependent or non-forest-dependent, lentic...
Abstract Natural history collections (NHCs) have been indispensable to understanding longer‐term trends of the timing seasonal events. Massive‐scale digitization specimens promises further enable phenological research, especially ability move towards a deeper drivers change and how trait–environment interactions shape sensitivity. Despite promise NHCs answer fundamental phenology questions, use these data resources presents unique often overlooked challenges requiring specialized workflow...
Abstract In recent decades, the use of satellite sensors, near‐surface cameras, and other remote methods for monitoring vegetation phenology at landscape higher scales has become increasingly common. These technologies provide a means to determine timing phenophases growing season length different spatial resolutions; coverage that is not attainable by human observers. However, in situ ground observations are required validate remotely derived phenometrics. Despite increased knowledge...
Abstract Studies of long-term trends in phenology often rely on climatic averages or accumulated heat, overlooking climate variability. Here we test the hypothesis that unusual weather conditions are critical driving adult insect phenology. First, generate phenological estimates for Lepidoptera (moths and butterflies) across Eastern USA, over a 70 year period, using natural history collections data. Next, assemble set predictors, including number unusually warm cold days prior to, during,...
Abstract Recent work has shown the decline of insect abundance, diversity and biomass, with potential implications for ecosystem services. These declines are especially pronounced in regions high human activity, urbanization is emerging as a significant contributing factor. However, scale these traits that determine variation species‐specific responses remain less well understood, subtropical tropical regions, where urban footprints rapidly expanding. Here, we surveyed moths across an entire...
Climate change is altering the seasonal timing of biological events across tree life. Phenological asynchrony has potential to hasten population declines and disrupt ecosystem function. However, we lack broad comparisons degree sensitivity common phenological cues multiple trophic levels. Overcoming complexity integrating data levels essential for identifying spatial locations species which mismatches are most likely occur. Here, synthesized over 15 years three estimate four interacting in...
Abstract Insect phenological lability is key for determining which species will adapt under environmental change. However, little known about when adult insect activity terminates and overall duration. We used community‐science museum specimen data to investigate the effects of climate urbanisation on timing 101 varying in life history traits. found detritivores with aquatic larval stages extend periods most rapidly response increasing regional temperature. Conversely, subterranean have...
More than 1.2 million distribution records were used to create species models for 402 Palaearctic of dragonflies and damselflies. On the basis these diversity maps total, lentic lotic whole (excluding China Himalayan region) are presented. These show a clear pattern decreasing longitudinally, with numbers dropping in eastern half Europe remaining low throughout large part Russia, then increasing again towards Russia’s Far East Korea. There differences patterns species, being dominant colder...
Abstract Data availability limits phenological research at broad temporal and spatial extents. Butterflies are among the few taxa with broad-scale occurrence data, from both incidental reports formal surveys. Incidental have biases that challenging to address, but structured surveys often limited seasonally may not span full flight phenologies. Thus, how these data source compare in analyses is unclear. We modeled butterfly phenology relation traits climate using parallel of survey explore...