Article
Biodiversity Conservation
Severin Biaou, Gerard Nounagnon Gouwakinnou, Florent Noulekoun, Kolawole Valere Salako, Jesugnon Marie Reine Houndjo Kpoviwanou, Thierry Dehouegnon Houehanou, Honore Samadori Sorotori Biaou
Summary: Climate change is expected to have an impact on species distribution globally. The current evaluation methods assume that species respond uniformly to environmental changes along their distribution range, but populations occupying different niches may respond differently due to local adaptation. Therefore, incorporating intraspecific variation into species distribution models can result in more reliable predictions.
GLOBAL ECOLOGY AND CONSERVATION
(2023)
Review
Zoology
Luara Tourinho, Mariana M. Vale
Summary: Researchers compared different models for estimating species' niche and distribution, finding that mechanistic and correlative models have different strengths and limitations. Hybrid models combining both approaches were considered promising. However, the best approach depends on the specific context and research objectives.
INTEGRATIVE ZOOLOGY
(2023)
Article
Biodiversity Conservation
Benjamin R. Shipley, Renee Bach, Younje Do, Heather Strathearn, Jenny L. McGuire, Bistra Dilkina
Summary: Understanding species range shifts under climate change is crucial for conservation. The megaSDM R package enhances spatiotemporal SDM analyses by incorporating dispersal probabilities and handling large datasets efficiently, providing a variety of outputs and visual representations. This tool offers advantages such as parallelization, environmental subsampling, and creating time-maps to compare dispersal-limited predictions.
Article
Biophysics
Tae-Sung Kwon, Dae-Seong Lee, Won I. L. Choi, Eun-Sook Kim, Young-Seuk Park
Summary: The selection of explanatory variables is crucial in species distribution models for predicting the response to climate change. This study compared the effectiveness of temperature-only and temperature with precipitation models in predicting the distribution of ant species. Most species showed similar results between the two models, except for changes in species richness. The turnover rate of ant assemblages was predicted to increase with decreases in temperature and increases in elevation. Overall, our results highlight the uncertainty in predicting the distribution and diversity of organisms in response to climate change due to the variability of the variables used in the models.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2023)
Article
Biodiversity Conservation
Aaron J. Brunton, Gabriel C. Conroy, David S. Schoeman, Maurizio Rossetto, Steven M. Ogbourne
Summary: Southern Fontainea and Coastal Fontainea are rare plant species endemic to the subtropical rainforests of central, eastern Australia. Their conservation status is threatened, and the distribution of these species is poorly known. This study used species distribution models to assess the present and future distribution and conservation of the two species. The models indicate potential expansion of suitable habitat for Southern and Coastal Fontainea, with the mountain ranges serving as climate refugia. However, the critically endangered Coastal Fontainea is projected to lose suitable habitat under high-emission climate scenarios.
GLOBAL ECOLOGY AND CONSERVATION
(2023)
Article
Environmental Sciences
Prem Prakash Singh, Mukunda Dev Behera, Richa Rai, Uma Shankar, Krishna Upadhaya, Ibadahun Mary Nonghuloo, Aabid Hussain Mir, Sushmita Barua, Mariya Naseem, Pankaj Kumar Srivastava, Raghuvar Tiwary, Anita Gupta, Vartika Gupta, Sampurna Nand, Dibyendu Adhikari, Saroj Kanta Barik
Summary: The study examined the adaptive responses of threatened Ilex species to climate change and found that their morphological, physiological, and demographic responses aligned with ecological niche model predictions. Different species showed different adaptive variations, but the overall trend matched the model predictions.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Ecology
Camille Desjonqueres, Sara Villen-Perez, Paulo De Marco, Rafael Marquez, Juan F. Beltran, Diego Llusia
Summary: Species distribution models (SDMs) are important tools for biogeography and climate change research. Current approaches have limitations, such as the use of species occurrence to make predictions and a lack of eco-physiological data. Passive acoustic monitoring is a promising technique that can help overcome these limitations by tracking animal behavior remotely. Researchers can estimate the climatic breadth of species activity and develop predictive models. This study proposes a method to build acoustic SDMs and demonstrates their effectiveness in predicting changes in acoustic communication behavior under future climate scenarios.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Environmental Studies
Buse Ar, Gamze Tuttu, Derya Gulcin, Ali Ugur Ozcan, Emre Kara, Mustafa Surmen, Kerim Cicek, Javier Velazquez
Summary: This study predicts the current and potential range of the invasive weed species stranglewort under changing climate conditions. It is found that the species is likely to expand its distribution to the north, particularly in agricultural landscapes.
Article
Parasitology
Ning Xu, Yun Zhang, Chunhong Du, Jing Song, Junhui Huang, Yanfeng Gong, Honglin Jiang, Yixin Tong, Jiangfan Yin, Jiamin Wang, Feng Jiang, Yue Chen, Qingwu Jiang, Yi Dong, Yibiao Zhou
Summary: This study used machine learning algorithms to explore the impact of climatic, geographical, and socioeconomic variables on the distribution of Oncomelania hupensis, the intermediate host of Schistosoma japonicum. It predicted the future distribution of suitable areas for O. hupensis and found that they will expand towards the north and west of Yunnan Province due to climate change.
PARASITES & VECTORS
(2023)
Article
Environmental Sciences
Jesus Sandoval-Martinez, Ernesto I. Badano, Francisco A. Guerra-Coss, Jorge A. Flores Cano, Joel Flores, Sandra Milena Gelviz-Gelvez, Felipe Barragan-Torres
Summary: The long-term success of forest restoration programs can be improved by using climate-based species distribution models (SDMs) to predict tree species' response to climate change. However, it is critical to determine if the predictions of SDMs apply to early life-cycle stages of trees, as SDMs cannot estimate if species will recruit at these habitats.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Biodiversity Conservation
Yu-Qun Du, Alexander Jueterbock, Muhammad Firdaus, Anicia Q. Hurtado, Delin Duan
Summary: This study investigated the niche differences between two species of Kappaphycus seaweed using ecological niche modeling, ordination, and hypervolume approaches. The results showed significant niche differences in both geographical and environmental space between the two species. The models predicted that rising sea surface temperature will lead to different range shifts for the two species, with one species suffering contraction while the other species expanding its distribution. This study enhances our understanding of Kappaphycus aquaculture and highlights the importance of conservation and investigation under climate change.
ECOLOGICAL INDICATORS
(2023)
Article
Ecology
Adam B. Smith, Stephen J. Murphy, David Henderson, Kelley D. Erickson
Summary: This article introduces two methods for using imprecise georeferenced occurrences in biogeographical analysis. These methods assign imprecise records to the closest locations or climates to the geographical or environmental centroid of precise records. Results show that including imprecise records improves the accuracy of ecological niche models and estimates of niche breadth and extent of occurrence.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2023)
Article
Chemistry, Multidisciplinary
Wang-Hee Lee, Jae-Woo Song, Sun-Hee Yoon, Jae-Min Jung
Summary: This study developed machine learning-based species distribution models to predict the potential distribution of two invasive ant species globally under current and future climates. The models showed that the potential distribution of Solenopsis invicta would expand with climate change, while it would not significantly change for Anoplolepis gracilipes. The different performance and projection size of the models suggest that optimal model selection is necessary to minimize modeling uncertainty.
APPLIED SCIENCES-BASEL
(2022)
Article
Biodiversity Conservation
Oksana Nekrasova, Volodymyr Tytar, Mihails Pupins, Andris Ceirans, Oleksii Marushchak, Arturs Skute
Summary: By 2090, guppies are projected to appear in southern Ukraine, the Caucasus, and Turkey, with a habitat suitability > 0.3-0.5, while Gambusia holbrooki will also slightly expand its distribution range in Europe. These thermophilic fish species, unlike G. holbrooki, prefer warmer waters and can occupy niches in anthropogenically transformed habitats, functioning as agents of biological control without competing with native ichthyofauna.
Article
Ecology
Ryan D. Briscoe Runquist, Thomas A. Lake, David A. Moeller
Summary: Species distribution models (SDMs) are often used to predict distributions of invasive species, but predicting invasion risk poses challenges. This study used a novel approach by incorporating occurrence-environment correlations between invasive and native species to build robust SDMs. Results showed that utilizing surrogate native species can effectively predict invasive species distributions beyond current ranges.
JOURNAL OF BIOGEOGRAPHY
(2021)