Quantifying Climate‐Driven Shifts in Macrofauna Communities: Integrating Species, Functional Traits and Multibiodiversity as Predictive Indicators Using Ensemble Species Distribution Modelling

ABSTRACT Spatial–temporal patterns of biodiversity distribution provide critical insights into ecosystem responses to climate change. We chose the Bohai Sea, a temperate shelf sea highly influenced by climate change and human activities, as a case study to evaluate biodiversity dynamics. This study integrates presence–absence data of macrofaunal communities collected from 152 sampling stations (2011–2022) and employs ensemble species distribution models to assess the current and future habitat suitability of dominant species, functional traits and multidiversity. The findings reveal bottom salinity as the predominant factor driving macrofaunal distribution and biodiversity. The predictions indicate diverse responses: (1) no significant trends for species diversity or functional diversity indices; (2) expansion in habitat suitability for carnivorous feeders and species such as Sternaspis scutata , Moerella iridescens , Protankyra bidentata and Emplectonema gracile ; and (3) contraction in deposit feeders and Alpheus digitalis . This study highlights the key role of thermal and salinity tolerance in shaping future species distributions, and that of functional redundancy in sustaining ecosystem resilience, and further advocates for adaptive management to support temperate ecosystem conservation amid climate change.

Authors

Institutions

Publication Details

Journal
Aquatic Conservation Marine and Freshwater Ecosystems
Published
2025-12-01
DOI
https://doi.org/10.1002/aqc.70277
Primary Topic
Marine Biology and Ecology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantifying Climate‐Driven Shifts in Macrofauna Communities: Integrating Species, Functional Traits and Multibiodiversity as Predictive Indicators Using Ensemble Species Distribution Modelling

Xiaoshou Liu, Qi Wang, Yifei Zhang
Aquatic Conservation Marine and Freshwater Ecosystems
Marine Biology and Ecology Research
article

Quantifying Climate‐Driven Shifts in Macrofauna Communities: Integrating Species, Functional Traits and Multibiodiversity as Predictive Indicators Using Ensemble Species Distribution Modelling

Xiaoshou Liu, Qi Wang, Yifei Zhang
article en

Abstract

ABSTRACT Spatial–temporal patterns of biodiversity distribution provide critical insights into ecosystem responses to climate change. We chose the Bohai Sea, a temperate shelf sea highly influenced by climate change and human activities, as a case study to evaluate biodiversity dynamics. This study integrates presence–absence data of macrofaunal communities collected from 152 sampling stations (2011–2022) and employs ensemble species distribution models to assess the current and future habitat suitability of dominant species, functional traits and multidiversity. The findings reveal bottom salinity as the predominant factor driving macrofaunal distribution and biodiversity. The predictions indicate diverse responses: (1) no significant trends for species diversity or functional diversity indices; (2) expansion in habitat suitability for carnivorous feeders and species such as Sternaspis scutata , Moerella iridescens , Protankyra bidentata and Emplectonema gracile ; and (3) contraction in deposit feeders and Alpheus digitalis . This study highlights the key role of thermal and salinity tolerance in shaping future species distributions, and that of functional redundancy in sustaining ecosystem resilience, and further advocates for adaptive management to support temperate ecosystem conservation amid climate change.

Aquatic Conservation Marine and Freshwater EcosystemsVol. 35(12)
Ocean University of China (CN)
Openalex Percentile: Top 61%
Marine Biology and Ecology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Quantifying Climate‐Driven Shifts in Macrofauna Communities: Integrating Species, Functional Traits and Multibiodiversity as Predictive Indicators Using Ensemble Species Distribution Modelling — Xiaoshou Liu, Qi Wang, et al. · Aquatic Conservation Marine and Freshwater Ecosystems (2025) | TGRS Research Map | TGRS