Distributions of non‐native and native plants are not determined by the same environmental factors DOI Creative Commons
Bart Steen, Antoine Adde, Martin A. Schlaepfer

et al.

Ecological Solutions and Evidence, Journal Year: 2024, Volume and Issue: 5(4)

Published: Oct. 1, 2024

Abstract Global environmental change will cause shifts in species communities, with non‐native likely replacing native ones at an unprecedented rate. This have consequences for biodiversity and ecosystem services, addition to the ecological economic damage caused by those that are invasive. Understanding general patterns driving distributions of is therefore vital, but no study has compared yet whether variables correlate a species' presence differ between two groups other than local scale often very limited sample size. In this study, we focus on 141 congeneric plant pairs Switzerland. framework correlative distribution models, used newly developed methods efficient automated selection parsimonious number predictor determine which ones, out large candidate set eight classes, strongest explanatory power both groups. Our results indicated influence significantly different ways. Climate was far determinant distributions, although it had more models. Models were influenced anthropogenic factors, land use forest cover. The also associated habitats lower mean naturality value species. These findings provide novel empirical evidence factors plants' guidance management. Practical implications: models increasingly frequently advised tool conservation management our guidelines covariates should be specifically considered assess habitat suitability versus former group particularly important research, as, time, they may turn addition, areas close infrastructure scanned regularly incipient colonizations species, especially as uninvaded areas, such high mountains.

Language: Английский

Steppe-land birds under global change: insights from the Eurasian Stone-curlew (Burhinus oedicnemus) in the Western Palearctic DOI Creative Commons
Andrea Simoncini, Samuele Ramellini, Mattia Falaschi

et al.

Global Ecology and Conservation, Journal Year: 2025, Volume and Issue: unknown, P. e03478 - e03478

Published: Feb. 1, 2025

Language: Английский

Citations

1
High nature value farmlands to identify crucial agroecosystems for multi-taxa conservation DOI Creative Commons
Andrea Dalpasso, Gentile Francesco Ficetola, Gianpiero Calvi

et al.

Biological Conservation, Journal Year: 2025, Volume and Issue: 305, P. 111094 - 111094

Published: March 19, 2025

Language: Английский

Citations

1
Spatiotemporal Analysis of Soil Moisture Drought in the Horn of Africa DOI Creative Commons
Ahmed Abdiaziz Alasow, Mohammed Magdy Hamed, Mohammed Rady

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 16, 2024

Abstract Droughts continuously threaten human life, livestock, and agriculture across the Horn of Africa (HOA). As climate change exacerbates drought frequency severity, accurately quantifying spatiotemporal patterns is critical to developing evidence-based policies that mitigate impacts build resilience among vulnerable communities. This study conducted a analysis soil moisture over HOA, utilizing high-resolution ERA5 reanalysis data between 1951 2020. The Standardized Precipitation Evapotranspiration Index (SPEI) was calculated at 3-, 6-, 9-, 12-month timescales identify historical events assess duration intensity changes 70 years. Spatial revealed decreasing levels with most substantial reductions 45% occurring in Djibouti Northern Somalia. Comparisons baseline period (1951-1985) recent (1986-2020) showed increasingly negative SPEI intensities, indicating shift towards drier conditions, especially Somalia, Kenya, Ethiopia. results also pointed rising frequencies moderate droughts by around 15% severe 5-10% from 1986 2020 period. findings can inform policy improve regional monitoring systems development climate-resilient strategies, water resource management, disaster risk reduction planning protect lives food security.

Language: Английский

Citations

6
The effectiveness of species distribution models in predicting local abundance depends on model grain size DOI Creative Commons
Mattia Brambilla, Gaia Bazzi, Luca Ilahiane

et al.

Ecology, Journal Year: 2023, Volume and Issue: 105(2)

Published: Dec. 1, 2023

The use of species distribution models (SDMs) to predict local abundance has been often proposed and contested. We tested whether SDMs at different spatiotemporal resolutions may the density 14 bird open/semi-open habitats. were built 1 ha km, with long-term versus a mix current climatic variables. estimated environmental suitability was used obtained by means 275 linear transects. SDM ability for all sampled sites occurrence sites, using N-mixture account imperfect detection. Then, we related R

Language: Английский

Citations

16
Ecological associations distribution modelling of marine plankton at a global scale DOI Creative Commons
Marinna Gaudin, Damien Eveillard, Samuel Chaffron

et al.

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 379(1909)

Published: July 22, 2024

Marine plankton communities form intricate networks of interacting organisms at the base food chain, and play a central role in regulating ocean biogeochemical cycles climate. However, predicting community shifts response to climate change remains challenging. While species distribution models are valuable tools for changes biogeography under scenarios, they generally overlook key biotic interactions, which can significantly shape ecological processes ecosystem responses. Here, we introduce novel statistical framework, association modelling (ADM), designed model predict associations space time. Applied on Tara Oceans genome-resolved metagenomics dataset, present-day ADM-inferred marine revealed four major biogeographic biomes organized along latitudinal gradient. We predicted evolution these biome-specific scenario, highlighting differential responses environmental change. Finally, explored functional potential impacted communities, focusing carbon fixation, outlining its geographical implications function. This article is part theme issue ‘Connected interactions: enriching web research by spatial social interactions’.

Language: Английский

Citations

4
A Graphical Method for Analysing Species Assemblages Combining Habitat Preference and Abundance DOI
Mohamed Dakki,

Meryem Ennakri,

Mohamed El Farouki

et al.

African Journal of Ecology, Journal Year: 2025, Volume and Issue: 63(1)

Published: Jan. 1, 2025

ABSTRACT In ecological investigations, the characterisation of plant and animal assemblages is carried out by implementing different numerical methods, based on species abundances richness. This paper provides a detailed description method for characterising assemblages, which uses both ‘preference degree’ species. latter parameter measured each sample habitats using its abundance profile in this sample; preference calculated an index derived from Shannon formula, largely used to estimate entropy. The analysis assemblage consists then classifying diagram, depending their degree’. degree described through theoretical foundations series arguments favour as well variability application domains. relevance illustrated real datasets collected two kinds (water insects waterbirds) that differ demographic strategies ecology. revealed practical robustness justified here, but also some weaknesses, will be focused our research prospects generalising use.

Language: Английский

Citations

0
Impact of climate change on the distribution of Isaria cicadaeMiquel in China: predictions based on the MaxEnt model DOI Creative Commons
Zhipeng He,

Habib Ali,

Tunhua Wu

et al.

Frontiers in Microbiology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 7, 2025

Introduction Isaria cicadae , a historically valued edible and medicinal fungus in China, has been experiencing critical decline abundance due to ecological degradation overexploitation. Understanding its potential distribution is essential for promoting sustainable harvesting practices. Methods This study utilizes the MaxEnt model, combined with known records 22 environmental variables, predict of I. under three representative emission scenarios (CMIP6: SSP1-2.6, SSP2-4.5, SSP5-8.5) 2050s 2070s. Results The analysis identifies seven key variables influencing habitat suitability : mean temperature driest quarter (bio09), wettest (bio08), precipitation month (bio16), diurnal range (bio02), isothermality (bio03), elevation, slope. Currently, mainly found provinces Yunnan, Sichuan, Hunan, Hubei, Guizhou, Jiangxi, Guangxi, Fujian, Anhui, Zhejiang, Yunnan Sichuan having largest areas high at 25.79 × 10 4 km 2 21.36 respectively. Discussion Guangxi Zhuang Autonomous Region are identified as primary regions suitability. aims further elucidate impact environment on from geographical perspective provide theoretical insights future cultivation conservation strategies this species.

Language: Английский

Citations

0
Habitat and Migration Dynamics of North American Tree Species Under Climate Change DOI
Anantha Prasad, David L. Peterson, John Pedlar

et al.

Journal of Biogeography, Journal Year: 2025, Volume and Issue: unknown

Published: April 8, 2025

ABSTRACT Aim We model and map the climatically suitable habitats migration potential of 326 tree species by combining forest inventories United States, Canada to a lesser extent, Mexico, with goal providing continental perspective ranges facilitate better stewardship under changing climate. Location Canada, Mexico. Major Taxa Studied Tree species. Methods use multi‐model ensemble technique assess climatic habitat suitability current future climates, compute colonisation likelihoods simulate end century migration. combine synthesise these outputs provide various products relevant range‐wide assessment Results For species, we maps of: suitability, SSP2‐4.5 SSP5‐8.5 scenarios, combined for century. In addition, synthesis (a) climate topographic statistical range assessments, (b) differences in richness from (c) performance, (d) climate‐topographic variable‐importance groupings (e) disequilibrium trends across genera. A continent‐wide both individual responses showed evidence smaller ranges, projected reduction middle lower mid‐continental regions, an increase southeastern, northeastern, northwestern regions continent. Also, found most eastern were mainly driven moisture, while western strong associations heat moisture. Main Conclusions Our study provides, first time, baseline understanding overall dynamics shifting their entire range, facilitating improved management North American forested ecosystems.

Language: Английский

Citations

0
Disentangling the effect of the spatial scale and species spatial pattern on the abundance–suitability relationship DOI Creative Commons
David Ferrando Ferrer, Pedro Tarroso, José Luis Tellerı́a

et al.

Ecography, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Knowledge about species abundance across broad spatial areas is crucial for unraveling ecological processes. Yet, estimation often demands extensive sampling effort associated with logistical challenges. Using suitability values obtained from distribution models (based on species' presence data) as a proxy has garnered interest during the last decades. Previous studies suggest triangular relationship between and suitability. Specifically, higher can display both low high abundances, while only abundances. This pattern arises because fail to consider limiting factors that drive abundance. In this study, we investigate effect of scale shaping relationship. We use simulation study case explore how these affect abundance–suitability The effects are represented by three model levels: 1) broad‐scale covariates, 2) intermediate 3) broad, local covariates. patterns characterized two different shapes: aggregated uniform. Our findings reveal integrating local‐scale covariates exhibiting more show stronger Additionally, observe an interaction scale. For species, benefits most notably addition intermediate‐scale contrast, uniform benefit remains consistent regardless whether intermediate‐ or added. results underscore importance considering methodological improve proxies derived models. highlight need information operating at make reliable inferences potential strategies doing it.

Language: Английский

Citations

0
High-resolution habitat suitability maps for all widespread Italian breeding bird species DOI Creative Commons
Mattia Brambilla, Luca Ilahiane, Enrico Caprio

et al.

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 19, 2025

Tackling the current global biodiversity crisis requires large-scale spatially accurate data to rapidly assess knowledge gaps and set conservation priorities. Obtaining such is often challenging because surveying across broad spatial scales massive logistical economic efforts. Here, we provide high-resolution (0.81 81 km2, depending on species ecology) habitat suitability raster maps for all 225 widespread breeding bird in Italy. Maps were generated by means of distribution models based ~2.5 million (≤1 km-scale) expert-validated occurrence records. Occurrence collected during seasons 2010-2016 over 3000 skilled observers, mostly through Ornitho.it web platform, with aim realizing second Atlas Breeding Birds Italy, released 2022. These will be useful ecologists, scientists practitioners investigating patterns avian diversity identifying We discuss potential applications this dataset inferring composition ecological communities distributions at Italian scale.

Language: Английский

Citations

0