Advancements in ecological niche models for forest adaptation to climate change: a comprehensive review DOI Creative Commons
Wenhuan Xu, Dawei Luo, Kate Peterson

et al.

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

ABSTRACT Climate change poses significant challenges to the health and functions of forest ecosystems. Ecological niche models have emerged as crucial tools for understanding impact climate on forests at population, species, ecosystem levels. These also play a pivotal role in developing adaptive conservation management strategies. Recent advancements model development led enhanced prediction accuracy broadened applications models, driven using high‐quality data, improved algorithms, application landscape genomic information. In this review, we start by elucidating concept rationale behind context forestry adaptation change. We then provide an overview occurrence‐based, trait‐based, genomics‐based contributing more comprehensive species responses addition, summarize findings from 338 studies highlight progress made tree including data sources, future scenarios used diverse applications. To assist researchers practitioners, exemplar set accompanying source code tutorial, demonstrating integration population genetics into models. This paper aims concise yet continuous refinements serving valuable resource effectively addressing posed changing climate.

Language: Английский

The impact of climate change on the nearly threatened taxa Elaeocarpus munroi (Wight) Mast. inhabiting in the forest of the Western Ghats DOI
Maya Ammathil Manoharan,

V. Suresh

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(2)

Published: Jan. 7, 2025

Language: Английский

Citations

0
Machine learning methods for basal area prediction of Fagus orientalis Lipsky stands based on national forest inventory DOI
Seyedeh Fatemeh Hosseini, Hamid Jalilvand, Asghar Fallah

et al.

Trees, Journal Year: 2025, Volume and Issue: 39(2)

Published: March 19, 2025

Language: Английский

Citations

0
Prediction of Sorghum bicolor (L.) distribution ranges provides insights on potential sorghum cultivation across tropical ecoregions of Indonesia DOI Creative Commons
Suyud Warno Utomo, Fatma Lestari,

Andrio Adiwibowo

et al.

BMC Plant Biology, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 31, 2025

Sorghum bicolor (L.) is a plant species that has staple and medicinal potential common in tropical regions, including Southeast Asia regions. Despite sorghum being used widely, the information about distributions of various ecoregions Indonesia still limited. vast country with distinct ecoregions, wet western parts arid environments eastern parts. The on distribution important, this situation, study aimed to model using MaxEnt based machine learning. total area suitable for estimated be 68,527,000 ha, or 28.17% Indonesia's areas. Among all Indonesia, Sulawesi Lesser Sunda, representing dry are having largest Sunda have highest percentages 44.76% 21.53% ecoregions. lowest were observed Sumatra, Kalimantan, Papua This confirms prefers as high areas these kinds

Language: Английский

Citations

0
Advancements in ecological niche models for forest adaptation to climate change: a comprehensive review DOI Creative Commons
Wenhuan Xu, Dawei Luo, Kate Peterson

et al.

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

ABSTRACT Climate change poses significant challenges to the health and functions of forest ecosystems. Ecological niche models have emerged as crucial tools for understanding impact climate on forests at population, species, ecosystem levels. These also play a pivotal role in developing adaptive conservation management strategies. Recent advancements model development led enhanced prediction accuracy broadened applications models, driven using high‐quality data, improved algorithms, application landscape genomic information. In this review, we start by elucidating concept rationale behind context forestry adaptation change. We then provide an overview occurrence‐based, trait‐based, genomics‐based contributing more comprehensive species responses addition, summarize findings from 338 studies highlight progress made tree including data sources, future scenarios used diverse applications. To assist researchers practitioners, exemplar set accompanying source code tutorial, demonstrating integration population genetics into models. This paper aims concise yet continuous refinements serving valuable resource effectively addressing posed changing climate.

Language: Английский

Citations

0