Results 101 to 110 of about 10,915 (210)

Potential distribution and susceptibility of Coffea arabica L. to climate change impacts

open access: yesPLANTS, PEOPLE, PLANET, Volume 8, Issue 2, Page 693-711, March 2026.
Ecological niche models (ENMs) are vital for understanding the impact of historical factors on ecosystems and predicting future climate change scenarios. These models help assess how environmental shifts affect agricultural species like coffee, which supports millions of people globally.
Yuliana Grisel García‐Martínez   +1 more
wiley   +1 more source

Projecting global shifts in the invasive potential of Bidens pilosa L. under climate change using species distribution models

open access: yesFrontiers in Plant Science
Invasive species pose significant threats to ecosystems by reducing biodiversity, introducing new diseases, and competing with native species for resources.
Linran Fan   +6 more
doaj   +1 more source

Effects of environmental factors on genetic diversity in the endangered Notopterygium incisum from the southeastern Qinghai–Tibetan Plateau

open access: yesPlant Species Biology, Volume 41, Issue 2, March 2026.
This study focuses on 38 populations of Notopterygium incisum from its main distribution areas (Sichuan Province, Gansu Province, and Qinghai Province), conducting molecular genetic diversity analysis and investigating the correlations between genetic variation and climatic variables, geographical distribution, and elevation gradients.
Jinqiu Liao   +7 more
wiley   +1 more source

Predicting current and future potential habitat distribution of fig tree (Ficus-Carica) in Morocco using Maxent Modeling

open access: yesAfrican and Mediterranean Agricultural Journal - Al Awamia
Climate change scenarios predict that fruit tree production will be impacted mainly by drought and high temperatures. The fig tree is considered as a hardy tree resistant to drought which makes it, in the context of climate change, a good alternative to ...
amal labaioui   +2 more
doaj   +1 more source

CISO: Species distribution modelling Conditioned on Incomplete Species Observations

open access: yesMethods in Ecology and Evolution, Volume 17, Issue 3, Page 947-962, March 2026.
Abstract Species distribution models (SDMs) are widely used to predict species' geographic distributions, serving as critical tools for ecological research and conservation planning. Typically, SDMs relate species occurrences to environmental variables representing abiotic factors, such as temperature, precipitation, and soil properties.
Hager Radi Abdelwahed   +6 more
wiley   +1 more source

Over the Hedge: Assessment of the Invasiveness and Potential Distribution of the Barrier Plant, Metrosideros excelsa (Myrtaceae), in South Africa and Beyond

open access: yesAustral Ecology, Volume 51, Issue 3, March 2026.
ABSTRACT Ornamental plants, including barrier or hedge plants, are important in horticulture. Occurring at the urban to natural barrier, plants are often conflict of interest species. Here, we study the invading ornamental barrier plant Metrosideros excelsa Soland ex Gaertn.
Sjirk Geerts   +3 more
wiley   +1 more source

Climate Change Can Generate Enemy‐Free Space for Crop‐Feeding Herbivores

open access: yesGlobal Change Biology, Volume 32, Issue 3, March 2026.
Magnitude and direction of change in parasitoid pressure for 14 agricultural pests subject to climate‐driven distributional shifts. Pests are organized per increasing parasitoid pressure under current climatic conditions (X axis). Bubble size is reflective of the (absolute) area affected by a given pest under a given scenario.
Kris A. G. Wyckhuys   +5 more
wiley   +1 more source

Disturbance Legacy and Landscape‐Scale Temperature Variability Are Associated With Lepidoptera Richness in Temperate Forests

open access: yesJournal of Biogeography, Volume 53, Issue 3, March 2026.
ABSTRACT Aim Forests across Central Europe are undergoing rapid changes driven by disturbance and climate variability, with uncertain consequences for insect biodiversity. Lepidoptera, being sensitive to habitat structure and microclimatic conditions, are ideal model organisms to study these dynamics.
Imran Khaliq, Johannes Kamp
wiley   +1 more source

Flood Susceptibility Mapping and Climate Change Impact Prediction Using Probabilistic Machine Learning and Statistical Analysis: A Case Study of Kigali, Rwanda

open access: yesJournal of Flood Risk Management, Volume 19, Issue 1, March 2026.
This study uses the MaxEnt model to identify key factors influencing flooding in Kigali, with slope being the most important. Future climate scenarios indicate that climate change could increase flood risk, highlighting the need for smart land use, better drainage, and green solutions to protect the city as it grows. ABSTRACT Flooding is among the most
Nishyirimbere Angelique   +5 more
wiley   +1 more source

Regions of Climatic Stability for Neotropical Primates

open access: yesMammal Review, Volume 56, Issue 1, March 2026.
Spatial distribution of climatic stability, endemism, and model uncertainty for Neotropical primates. The left panel depicts projected climatic stability (warm colours = higher proportion of species with persistent climatic suitability; cool colours = lower stability). The upper‐right panel shows endemism (warm colours = higher concentration of endemic
Thairik Mateus Silva Marques   +6 more
wiley   +1 more source

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