Accounting for tree line shift, glacier retreat and primary succession in mountain plant distribution models

被引:26
|
作者
Carlson, Bradley Z. [1 ]
Georges, Damien [1 ]
Rabatel, Antoine [2 ]
Randin, Christophe F. [3 ,4 ]
Renaud, Julien [1 ]
Delestrade, Anne [5 ,6 ]
Zimmermann, Niklaus E. [4 ]
Choler, Philippe [1 ,7 ]
Thuiller, Wilfried [1 ]
机构
[1] Univ Grenoble Alpes, UMR CNRS UJF 5553, Lab Ecol Alpine, F-38041 Grenoble, France
[2] Univ Grenoble Alpes, UMR CNRS UJF 5183, Lab Glaciol & Geophys Environm, F-38402 Grenoble, France
[3] Univ Basel, Bot Inst, CH-4056 Basel, Switzerland
[4] Swiss Fed Res Inst WSL, CH-8903 Birmensdorf, Switzerland
[5] Ctr Rech Ecosyst Altitude, F-74400 Chamonix Mt Blanc, France
[6] Univ Savoie, UMR CNRS UJF 5553, Lab Ecol Alpine, F-73376 Le Bourget Du Lac, France
[7] Univ Grenoble Alpes, UMS CNRS UJF 3370, Stn Alpine J Fourier, F-38041 Grenoble, France
基金
欧洲研究理事会;
关键词
Chamonix Valley - French Alps; habitat filtering; land cover dynamics; remote sensing; species range change; SPECIES DISTRIBUTION; CLIMATE-CHANGE; ALPINE; VEGETATION; BIODIVERSITY; DEGLACIATION; MECHANISMS; PREDICTION; PATTERNS; FOREST;
D O I
10.1111/ddi.12238
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
AimTo incorporate changes in alpine land cover (tree line shift, glacier retreat and primary succession) into species distribution model (SDM) predictions for a selection of 31 high-elevation plants. LocationChamonix Valley, French Alps. MethodsWe fit linear mixed effects (LME) models to historical changes in forest and glacier cover and projected these trends forward to align with 21st century IPCC climate scenarios. We used a logistic function to model the probability of plant establishment in glacial forelands zones expected to become ice free between 2008 and 2051-2080. Habitat filtering consisted of intersecting land cover maps with climate-driven SDMs to refine habitat suitability predictions. SDM outputs for tree, heath and alpine species were compared based on whether habitat filtering during the prediction period was carried out using present-day (static) land cover, future (dynamic) land cover filters or no land cover filter (unfiltered). Species range change (SRC) was used to measure differences in habitat suitability predictions across methods. ResultsLME predictions for 2021-2080 showed continued glacier retreat, tree line rise and primary succession in glacier forelands. SRC was highest in the unfiltered scenario (-10%), intermediate in the dynamic scenario (-15%) and lowest in the static scenario (-31%). Tree species were the only group predicted to gain overall range by 2051-2080. Although alpine plants lost range in all three land cover scenarios, new habitat made available by glacier retreat in the dynamic land cover scenario buffered alpine plant range loss due to climate change. Main conclusionsWe provide a framework for combining trajectories of land cover change with SDM predictions. Our pilot study shows that incorporating shifts in land cover improves habitat suitability predictions and leads to contrasting outcomes of future mountain plant distribution. Alpine plants in particular may lose less suitable habitat than standard SDMs predict due to 21st century glacier retreat.
引用
收藏
页码:1379 / 1391
页数:13
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