Butterfly species respond differently to climate warming and land use change in the northern Alps

Habel, Jan Christian; Ulrich, Werner; Gros, Patrick; Teucher, Mike; Schmitt, Thomas

doi:10.1016/j.scitotenv.2023.164268

Cited by 16 publications

(16 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Whether these predicted and the observed phenological changes at lower altitudes will be detrimental, neutral or even positive for the affected populations is still heavily debated (e.g., Konvicka et al, 2016;Roland & Matter, 2016). The fact that the butterfly communities in the present study region on one hand face compositional homogenization with increasing dominance of a few widespread habitat generalist species (Habel et al, 2022(Habel et al, , 2023 and on the other hand still uphold their species diversity (Gros, 2023;Habel et al, 2022) writing -review and editing.…”

Section: Altitudementioning

confidence: 91%

“…Additionally, rising regional temperatures tend to modulate the altitudinal gradient making lower and higher altitudes increasingly less different in annual average temperatures (Beniston, 2006;Ohmura, 2012). This fact is backed by the observed uphill shift of many lowland butterfly species (Bonelli et al, 2021;Habel et al, 2023). However, long-term observations in mountain regions also indicate increased variability of weather conditions at higher altitudes that might counteract phenological variation (Barry, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Prior work on part of these data (i.e., the butterflies) revealed community‐wide reactions of the insects to increasing annual temperatures. These include an uphill shift of occurrences of mountain butterfly species (Rödder et al., 2021) but also lowland taxa (Habel et al., 2023), predicable changes in community composition toward habitat generalists and dispersive species (Habel et al., 2023), and synchronized population fluctuations at regional scales (Ulrich, Schmitt, et al., 2023). Here, we use all available data that comprises observations of adult butterflies and moths with precise information about the geographical location and time (day) of all records.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Active around the year: Butterflies and moths adapt their life cycles to a warming world

Habel,

Schmitt,

Gros

et al. 2023

Global Change Biology

Self Cite

View full text Add to dashboard Cite

Living in a warming world requires adaptations to altered annual temperature regimes. In Europe, spring is starting earlier, and the vegetation period is ending later in the year. These climatic changes are leading not only to shifts in distribution ranges of flora and fauna, but also to phenological shifts. Using long‐term observation data of butterflies and moths collected during the past decades across northern Austria, we test for phenological shifts over time and changes in the number of generations. On average, Lepidoptera adults emerged earlier in the year and tended to extend their flight periods in autumn. Many species increased the annual number of generations. These changes were more pronounced at lower altitudes than at higher altitudes, leading to an altered phenological zonation. Our findings indicate that climate change does not only affect community composition but also the life history of insects. Increased activity and reproductive periods might alter Lepidoptera–host plant associations and food webs.

show abstract

Section: Altitudementioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Active around the year: Butterflies and moths adapt their life cycles to a warming world

Habel,

Schmitt,

Gros

et al. 2023

Global Change Biology

Self Cite

View full text Add to dashboard Cite

show abstract

“…The average butterfly occurrence as well as the upper and lower occurrence limits >300 m uphill have changed during the study period. In the last 10 years, they have seen a particularly noticeable change where the strongest shifts were seen by sedentary and habitat-specialist species, while habitat-generalist and mobile species showed the weakest shifts [4].…”

Section: Introductionmentioning

confidence: 99%

Biological Butterfly Characterization with Mobile System Using Convolutional Neural Network (CNN) Classify Image

Saedan,

Kassim,

Abd Aziz

2024

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

This study presents the development of a mobile identification system that detects biological butterfly characteristics through deep learning by capturing images. The challenge identified is that butterfly identification and recognition are difficult tasks because there are too many species, and it is hard to classify the types of butterfly species. Butterflies are also difficult to differentiate from each other, and limited studies are done using computer database referrals for butterflies’ characterization. This study aims to develop an automated computer program to easily identify the species of butterflies. Deep learning in image processing is programmed, which can control the qualification, segmentation, and classification of images and automatically detect butterfly characterization. The design system consists of three stages: capture, feature extraction, and butterfly recognition. Then, multiple recognition clues such as shape, color, texture, and size are extracted and analyzed to analyze and recognize the butterfly. This approach is faster and less complex than the previous approach. The result successfully presents a convolutional neural network (CNN) to classify images after training and characterization. The graphics processing unit (GPU) that trains the image dataset presents 86% image accuracy in the allocated time. This research is significant in such a way that new butterfly species will be automatically collected and stored on the online server. The information could be treasured as a valuable butterfly database.

show abstract

“…There is an increasing amount of literature on the impact of climate change on insect distribution and phenology. Empirical evidence indicates that, with increasing temperatures, insects tend to track their climatic niche by moving upslope [10,17,28,30,35,[50][51][52][53][54][55][56][57][58][59][60] and poleward [17,50,[61][62][63][64][65][66][67][68][69][70][71]. Changes in phenology are also documented in many insects, with a shift toward earlier seasonal activity being the most commonly recorded pattern [38,49].…”

Section: Introductionmentioning

confidence: 99%

Upward and Poleward (but Not Phenological) Shifts in a Forest Tenebrionid Beetle in Response to Global Change in a Mediterranean Area

Fattorini

2024

Insects

View full text Add to dashboard Cite

There is an increasing volume of literature on the impact of climate change on insects. However, there is an urgent need for more empirical research on underrepresented groups in key areas, including species for which the effects of climatic change may seem less evident. The present paper illustrates the results of a study on a common forest tenebrionid beetle, Accanthopus velikensis (Piller and Mitterpacher, 1783), at a regional scale within the Mediterranean basin. Using a large set of records from Latium (central Italy), changes in the median values of elevation, latitude, longitude, and phenology between two periods (1900–1980 vs. 1981–2022) were tested. Records of A. velikensis in the period 1981–2022 showed median values of elevation and latitude higher than those recorded in the first period. Thus, in response to rising temperatures, the species became more frequent at higher elevation and in northern places. By contrast, A. velikensis does not seem to have changed its activity pattern in response to increased temperatures, but this might be an artifact due to the inclusion of likely overwintering individuals. The results obtained for A. velikensis indicate that even thermally euryoecious species can show changes in their elevational and latitudinal distribution, and that poleward shifts can be apparent even within a small latitudinal gradient.

show abstract

Butterfly species respond differently to climate warming and land use change in the northern Alps

Cited by 16 publications

References 53 publications

Active around the year: Butterflies and moths adapt their life cycles to a warming world

Active around the year: Butterflies and moths adapt their life cycles to a warming world

Biological Butterfly Characterization with Mobile System Using Convolutional Neural Network (CNN) Classify Image

Upward and Poleward (but Not Phenological) Shifts in a Forest Tenebrionid Beetle in Response to Global Change in a Mediterranean Area

Contact Info

Product

Resources

About