The future of plant diversity within a Mediterranean endemism centre: Modelling the synergistic effects of climate and land-use change in Peloponnese, Greece

被引:5
作者
Pires, Mariana Braz [1 ,4 ]
Kougioumoutzis, Konstantinos [2 ]
Norder, Sietze [1 ]
Dimopoulos, Panayotis [2 ]
Strid, Arne [3 ]
Panitsa, Maria [2 ]
机构
[1] Univ Utrecht, Copernicus Inst Sustainable Dev, Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands
[2] Univ Patras, Dept Biol, Lab Bot, Patras 26504, Greece
[3] Bakkerej 6, DK-5853 Orbaek, Denmark
[4] Leiden Univ, Inst Environm Sci CML, POB 9518, NL-2300 RA Leiden, Netherlands
关键词
Climate change; Endemic plant; Land-use/land-cover change; Mediterranean flora; Phylogenetic endemism; Species Distribution Modelling (SDM); BIODIVERSITY LOSS; RANGE SHIFTS; CONSERVATION; RICHNESS; HOTSPOTS; PREDICTION; PATTERNS; DRIVERS; IMPROVE; METRICS;
D O I
10.1016/j.scitotenv.2024.174622
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Climate- and land-use change stand as primary threats to terrestrial biodiversity. Yet, their synergistic impacts on species distributions remain poorly understood. To address this knowledge gap, we conducted the first-ever comprehensive species distribution analysis on an entire regional endemism centre within an eastern Mediterranean country, incorporating dynamic land-use/land-cover change data together with climate change scenarios. Specifically, we apply species distribution modelling and spatial data analysis techniques to compare the individual and synergistic effects of these environmental drivers on the endemic vascular flora of Peloponnese, focusing on potential range contractions, altitudinal shifts, and habitat fragmentation levels. Moreover, we identify fine-scale present and potential future endemism hotspots within our study area, incorporating taxonomic and phylogenetic information. Overall, we aim to enhance our current understanding of endemism patterns and contribute to the development of future-proof conservation strategies for safeguarding Greece's endangered endemic flora. The integration of land-use change projections with climate change yielded less severe impacts compared to the effects anticipated when considering climatic variables alone. Most taxa are expected to undergo significant range declines and nearly half might experience increased habitat fragmentation, due to the synergistic effects of climate- and land-use change. We identified endemism hotspots, which are concentrated in or along the main Peloponnesian mountain massifs. However, our predictions indicate that areas presently recognized as endemism hotspots will undergo a concerning area decline, across all future scenarios considered in this study. Our findings highlight the importance of including dynamic land-use variables alongside climatic predictors when projecting species distributions under global change. Moreover, we showed that endemism hotspots are not static and considering their potential geographic shifts is paramount to delineate effective forward-looking conservation strategies.
引用
收藏
页数:13
相关论文
共 113 条
[31]   Utility and limitations of species richness metrics for conservation planning [J].
Fleishman, Erica ;
Noss, Reed F. ;
Noon, Barry R. .
ECOLOGICAL INDICATORS, 2006, 6 (03) :543-553
[32]   A georeferenced implementation of weighted endemism [J].
Guerin, Greg R. ;
Ruokolainen, Lasse ;
Lowe, Andrew J. .
METHODS IN ECOLOGY AND EVOLUTION, 2015, 6 (07) :845-852
[33]   Climate change and land use threaten global hotspots of phylogenetic endemism for trees [J].
Guo, Wen-Yong ;
Serra-Diaz, Josep M. ;
Eiserhardt, Wolf L. ;
Maitner, Brian S. ;
Merow, Cory ;
Violle, Cyrille ;
Pound, Matthew J. ;
Sun, Miao ;
Slik, Ferry ;
Blach-Overgaard, Anne ;
Enquist, Brian J. ;
Svenning, Jens-Christian .
NATURE COMMUNICATIONS, 2023, 14 (01)
[34]   Impact of climate change on biodiversity loss: global evidence [J].
Habibullah, Muzafar Shah ;
Din, Badariah Haji ;
Tan, Siow-Hooi ;
Zahid, Hasan .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (01) :1073-1086
[35]  
Hamner B, 2018, METRICS EVALUATION M
[36]   Endemism hotspots are linked to stable climatic refugia [J].
Harrison, Susan ;
Noss, Reed .
ANNALS OF BOTANY, 2017, 119 (02) :207-214
[37]   landscapemetrics: an open-source R tool to calculate landscape metrics [J].
Hesselbarth, Maximilian H. K. ;
Sciaini, Marco ;
With, Kimberly A. ;
Wiegand, Kerstin ;
Nowosad, Jakub .
ECOGRAPHY, 2019, 42 (10) :1648-1657
[38]  
Hijmans R. J., 2022, R PACKAGE VERSION 13
[39]   Evaluating the ability of habitat suitability models to predict species presences [J].
Hirzel, Alexandre H. ;
Le Lay, Gwenaelle ;
Helfer, Veronique ;
Randin, Christophe ;
Guisan, Antoine .
ECOLOGICAL MODELLING, 2006, 199 (02) :142-152
[40]   Comparing sample bias correction methods for species distribution modeling using virtual species [J].
Inman, Richard ;
Franklin, Janet ;
Esque, Todd ;
Nussear, Kenneth .
ECOSPHERE, 2021, 12 (03)