Genetic diversity of the subterranean Gansu zokor in a semi-natural landscape

We studied the relationship between genetic diversity of the subterranean Gansu zokor Myospalax cansus and habitat variability in the Loess Plateau, Qinghai Province, China. We used a combination of geographic information systems and molecular techniques to assess the impact of habitat composition and human activities on the genetic diversity of zokor populations in this semi-natural landscape. Although they occurred relatively infrequently in the landscape, woodland and high-coverage grassland habitats were the main positive contributors to the genetic diversity of zokor populations. Rural residential land, plain agricultural land and low-coverage grassland had a negative effect on genetic diversity. Hilly agricultural land and middle-coverage grassland had little impact on zokor genetic diversity. There were also interactions between some habitat types, that is, habitat types with relatively better quality together promoted conservation of genetic diversity, while the interaction between (among) bad habitat types made situations worse. Finally, habitat diversity, measured as patch richness and Shannon's diversity index, was positively correlated with the genetic diversity. These results demonstrated that: (1) different habitat types had different effects on the genetic diversity of zokor populations and (2) habitat quality and habitat heterogeneity were important in maintaining genetic diversity. Habitat composition was closely related to land use thus emphasizing the importance of human activities on the genetic diversity of subterranean rodent populations in this semi-natural landscape. Although the Gansu zokor was considered to be a pest species in the Loess Plateau, our study provides insights for the management and conservation of other subterranean rodent species.     

Hopes and challenges for giant panda conservation under climate change in the Qinling Mountains of China

One way that climate change will impact animal distributions is by altering habitat suitability and habitat fragmentation. Understanding the impacts of climate change on currently threatened species is of immediate importance because complex conservation planning will be required. Here, we mapped changes to the distribution, suitability, and fragmentation of giant panda habitat under climate change and quantified the direction and elevation of habitat shift and fragmentation patterns. These data were used to develop a series of new conservation strategies for the giant panda. Qinling Mountains, Shaanxi, China. Data from the most recent giant panda census, habitat factors, anthropogenic disturbance, climate variables, and climate predictions for the year 2050 (averaged across four general circulation models) were used to project giant panda habitat in Maxent. Differences in habitat patches were compared between now and 2050. While climate change will cause a 9.1% increase in suitable habitat and 9% reduction in subsuitable habitat by 2050, no significant net variation in the proportion of suitable and subsuitable habitat was found. However, a distinct climate change‐induced habitat shift of 11 km eastward by 2050 is predicted firstly. Climate change will reduce the fragmentation of suitable habitat at high elevations and exacerbate the fragmentation of subsuitable habitat below 1,900 m above sea level. Reduced fragmentation at higher elevations and worsening fragmentation at lower elevations have the potential to cause overcrowding of giant pandas at higher altitudes, further exacerbating habitat shortage in the central Qinling Mountains. The habitat shift to the east due to climate change may provide new areas for giant pandas but poses severe challenges for future conservation.     

Synergistic effects of climate and land-use change on representation of African bats in priority conservation areas

Bats are considered important bioindicators and deliver key ecosystem services to humans. However, it is not clear how the individual and combined effects of climate change and land-use change will affect their conservation in the future. We used a spatial conservation prioritization framework to determine future shifts in the priority areas for the conservation of 169 bat species under projected climate and land-use change scenarios across Africa. Specifically, we modelled species distribution models under four different climate change scenarios at the 2050 horizon. We used land-use change scenarios within the spatial conservation prioritization framework to assess habitat quality in areas where bats may shift their distributions. Overall, bats’ representation within already existing protected areas in Africa was low (∼5% of their suitable habitat in protected areas which cover ∼7% of Africa). Accounting for future land-use change resulted in the largest shift in spatial priority areas for conservation actions, and species representation within priority areas for conservation actions decreased by ∼9%. A large proportion of spatial conservation priorities will shift from forested areas with little disturbance under present conditions to agricultural areas in the future. Planning land use to reduce impacts on bats in priority areas outside protected areas where bats will be shifting their ranges in the future is crucial to enhance their conservation and maintain the important ecosystem services they provide to humans.     

The fate of European breeding birds under climate,land‐use and dispersal scenarios

Many species have already shifted their distributions in response to recent climate change. Here, we aimed at predicting the future breeding distributions of European birds under climate, land‐use, and dispersal scenarios. We predicted current and future distributions of 409 species within an ensemble forecast framework using seven species distribution models (SDMs), five climate scenarios and three emission and land‐use scenarios. We then compared results from SDMs using climate‐only variables, habitat‐only variables or both climate and habitat variables. In order to account for a species’ dispersal abilities, we used natal dispersal estimates and developed a probabilistic method that produced a dispersal scenario intermediate between the null and full dispersal scenarios generally considered in such studies. We then compared results from all scenarios in terms of future predicted range changes, range shifts, and variations in species richness. Modeling accuracy was better with climate‐only variables than with habitat‐only variables, and better with both climate and habitat variables. Habitat models predicted smaller range shifts and smaller variations in range size and species richness than climate models. Using both climate and habitat variables, it was predicted that the range of 71% of the species would decrease by 2050, with a 335 km median shift. Predicted variations in species richness showed large decreases in the southern regions of Europe, as well as increases, mainly in Scandinavia and northern Russia. The partial dispersal scenario was significantly different from the full dispersal scenario for 25% of the species, resulting in the local reduction of the future predicted species richness of up to 10%. We concluded that the breeding range of most European birds will decrease in spite of dispersal abilities close to a full dispersal hypothesis, and that given the contrasted predictions obtained when modeling climate change only and land‐use change only, both scenarios must be taken into consideration.     

Predicting impacts of climate change on habitat connectivity of Kalopanax septemlobus in South Korea

Understanding the drivers of habitat distribution patterns and assessing habitat connectivity are crucial for conservation in the face of climate change. In this study, we examined a sparsely distributed tree species, Kalopanax septemlobus (Araliaceae), which has been heavily disturbed by human use in temperate forests of South Korea. We used maximum entropy distribution modeling (MaxEnt) to identify the climatic and topographic factors driving the distribution of the species. Then, we constructed habitat models under current and projected climate conditions for the year 2050 and evaluated changes in the extent and connectivity of the K. septemlobus habitat. Annual mean temperature and terrain slope were the two most important predictors of species distribution. Our models predicted the range shift of K. septemlobus toward higher elevations under medium-low and high emissions scenarios for 2050, with dramatic reductions in suitable habitat (51% and 85%, respectively). In addition, connectivity analysis indicated that climate change is expected to reduce future levels of habitat connectivity. Even under the Representative Construction Pathway (RCP) 4.5 medium-low warming scenario, the projected climate conditions will decrease habitat connectivity by 78%. Overall, suitable habitats for K. septemlobus populations will likely become more isolated depending on the severity of global warming. The approach presented here can be used to efficiently assess species and habitat vulnerability to climate change.     

祁连山东段高原鼢鼠对高寒草甸危害评价

为了客观评价高原鼢鼠(Myospalax baileyi)对高寒草甸的危害程度,在祁连山东段研究了高原鼢鼠不同种群密度与草地质量之间的关系,共设置了3个高原鼢鼠种群密度梯度,调查了3个危害等级变量(鼠丘数、鼠丘面积和鼠丘产草量)和6个生境变量(草地产草量、总盖度、可食牧草产量、植被组成、土壤水分和土壤紧实度),通过One-Way ANOVA检验法研究这些因子与高原鼢鼠危害程度的关系。结果表明:在设置的3个种群密度梯度下,草地产草量、总盖度、可食牧草产量和鼠丘产草量无显著性差异;草地植物群落结构、新鼠丘面积占调查区面积的比例无显著性差异,除高原鼢鼠采食深度(0—20 cm)外,3个种群密度区土壤紧实度无显著性差异,而0—30 cm处土壤水分存在显著性差异,说明本研究中不同高原鼢鼠种群密度区的草地质量没有显著性差异。此外,研究结果表明调查样地大小与危害评价有着密切关系,在高寒草甸区,单个样方调查面积以0.5 hm~2以上为宜。     

Climate-induced changes in the vegetation pattern of China in the 21st century

Quantifying climate-induced changes in vegetation patterns is essential to understanding land–climate interactions and ecosystem changes. In the present study, we estimated various distributional changes of vegetation under different climate-change scenarios in the 21st century. Both hypothetical scenarios and Hedley RCM scenarios show that the transitional vegetation types, such as shrubland and grassland, have higher sensitivity to climatic change compared to vegetation under extreme climatic conditions, such as the evergreen broadleaf forest or desert, barren lands. Mainly, the sensitive areas in China lie in the Tibetan Plateau, Yunnan-Guizhou Plateau, northeastern plain of China and eco-zones between different vegetations. As the temperature increases, mixed forests and deciduous broadleaf forests will shift towards northern China. Grassland, shrubland and wooded grassland will extend to southeastern China. The RCM-project climate changes generally have caused positive vegetation changes; vegetation cover will probably improve 19% relative to baseline, and the forest will expand to 8% relative to baseline, while the desert and bare ground will reduce by about 13%.     

Effects of Climate Change on Habitat Availability and Configuration for an Endemic Coastal Alpine Bird

North America’s coastal mountains are particularly vulnerable to climate change, yet harbour a number of endemic species. With little room “at the top” to track shifting climate envelopes, alpine species may be especially negatively affected by climate-induced habitat fragmentation. We ask how climate change will affect the total amount, mean patch size, and number of patches of suitable habitat for Vancouver Island White-tailed Ptarmigan (Lagopus leucura saxatilis; VIWTP), a threatened, endemic alpine bird. Using a Random Forest model and a unique dataset consisting of citizen science observations combined with field surveys, we predict the distribution and configuration of potential suitable summer habitat for VIWTP under baseline and future (2020s, 2050s, and 2080s) climates using three general circulation models and two greenhouse gas scenarios. VIWTP summer habitat is predicted to decline by an average of 25%, 44%, and 56% by the 2020s, 2050s, and 2080s, respectively, under the low greenhouse gas scenario and 27%, 59%, and 74% under the high scenario. Habitat patches are predicted to become fragmented, with a 52–79% reduction in mean patch size. The average elevation of suitable habitat patches is expected to increase, reflecting a loss of patches at lower elevations. Thus ptarmigan are in danger of being “squeezed off the mountain”, as their remaining suitable habitat will be increasingly confined to mountaintops in the center of the island. The extent to which ptarmigan will be able to persist in increasingly fragmented habitat is unclear. Much will depend on their ability to move throughout a more heterogeneous landscape, utilize smaller breeding areas, and survive increasingly variable climate extremes. Our results emphasize the importance of continued monitoring and protection for high elevation specialist species, and suggest that White-tailed Ptarmigan should be considered an indicator species for alpine ecosystems in the face of climate change.     

Predictions of potential geographical distribution of Sinopodophyllum hexandrum under climate change

桃儿七(Sinopodophyllum hexandrum)为小檗科多年生草本植物, 是我国濒危传统藏药, 预测气候变化对该物种分布范围的影响对于其保护和资源可持续利用具有重要意义。该文利用获得的桃儿七136个地理分布记录和21个气候环境图层, 通过MaxEnt模型分析桃儿七在我国西部七省的潜在地理分布, 并基于该模型预测政府间气候变化专门委员会(IPCC)发布的SRES-A1B、SRES-A2和SRES-B1气候情景下21世纪20、50和80年代桃儿七分布范围。结果表明: 最热季平均温度、年降水量、温度季节性变动系数和等温性是影响桃儿七分布的主要气候因子; 在当前气候条件下, 桃儿七适宜的生境面积占研究区总面积的11.71%, 主要集中在青藏高原东缘的四川、甘肃、青海境内次生植被丰富、地形复杂的高海拔地区, 低适宜生境与不适宜生境分别占研究区总面积的15.86%与72.43%。由模型预测可知, 在SRES-A1B、SRES-A2和SRES-B1三种情景下, 桃儿七在研究区低适宜生境的数量相对变化较小, 在适宜生境先大幅减少后又缓慢增加。研究结果同时表明, 在未来气候变化条件下, 桃儿七的适宜生境平均海拔将逐渐升高, 范围以及几何重心极有可能先向北移, 然后再向西延伸至青藏高原内部较高海拔的山区。     

基于MaxEnt生态位模型预测对齿藓属(Didymodon)植物在新疆的潜在地理分布

该文基于MaxEnt模型,利用获得的132个对齿藓属(Didymodon)植物在新疆分布的信息,结合RCP45 CO2排放情景下2050年和2070年的19个生物气候数据预测该属在当代、2050年和2070年的潜在分布区域。结果显示,最湿季平均温度、年平均气温、最干季降水量和年降水量是影响该属分布最主要的气候因子,其贡献率分别为33.6%、22.2%、16.4%和14.6%;模型模拟准确度高(AUC值达0.84);在当代气候条件下,对齿藓属植物的适宜生境面积占新疆总面积的38.51%;最适分布区域是中部的天山山脉、南部昆仑山脉的东部和西部的帕米尔高原;与当代的分布预测结果相比,未来(2050年和2070年)该属适宜栖息地分布范围总体上呈现退缩趋势;退缩后的适宜生境面积分别占新疆总面积的36.56%和37.87%。温度和降水量可能是引起对齿藓属地理分布退缩的重要气候因子。研究结果可为探讨气候变化对干旱、半干旱区苔藓植物物种分布的影响提供参考资料。     

气候变化下桃儿七潜在地理分布的预测

桃儿七(Sinopodophyllum hexandrum)为小檗科多年生草本植物, 是我国濒危传统藏药, 预测气候变化对该物种分布范围的影响对于其保护和资源可持续利用具有重要意义。该文利用获得的桃儿七136个地理分布记录和21个气候环境图层, 通过MaxEnt模型分析桃儿七在我国西部七省的潜在地理分布, 并基于该模型预测政府间气候变化专门委员会(IPCC)发布的SRES-A1B、SRES-A2和SRES-B1气候情景下21世纪20、50和80年代桃儿七分布范围。结果表明: 最热季平均温度、年降水量、温度季节性变动系数和等温性是影响桃儿七分布的主要气候因子; 在当前气候条件下, 桃儿七适宜的生境面积占研究区总面积的11.71%, 主要集中在青藏高原东缘的四川、甘肃、青海境内次生植被丰富、地形复杂的高海拔地区, 低适宜生境与不适宜生境分别占研究区总面积的15.86%与72.43%。由模型预测可知, 在SRES-A1B、SRES-A2和SRES-B1三种情景下, 桃儿七在研究区低适宜生境的数量相对变化较小, 在适宜生境先大幅减少后又缓慢增加。研究结果同时表明, 在未来气候变化条件下, 桃儿七的适宜生境平均海拔将逐渐升高, 范围以及几何重心极有可能先向北移, 然后再向西延伸至青藏高原内部较高海拔的山区。     

近30年来青藏高原高寒草地NDVI动态变化对自然及人为因子的响应

草地生态系统是陆地生态系统的重要组成部分，在调节气候、水土保持、防风固沙、保护生物多样性等方面发挥着重要作用。青藏高原是全球海拔最高的独特地域单元，平均海拔超过4000 m，素有“世界第三极”之称，亦是我国重要的生态安全屏障，其对气候变化敏感且易受人类活动的影响，属于气候变化敏感区和生态脆弱带。近年来，由于气候变化和人类活动的不断加剧，青藏高原区域气候和环境发生了重大变化，气候变暖、水污染、草地退化和沙化等问题已严重阻碍了当地社会经济的可持续发展。高寒草地是青藏高原主要的植被类型，在气候变化和人类活动加剧的背景下，青藏高原高寒草地植被的动态变化受到人们的广泛关注。归一化植被指数（Normalized difference vegetation index, NDVI）因能有效地反映植被覆盖程度和生长状况而被广泛应用于植被动态的研究中。气温与降水被认为是影响青藏高原植被动态的主要气候因子，放牧强度与人口数量则是主要人为因子。因此，研究高寒草地植被对气候变化和人类活动的响应机制对预测未来草地变化有着重要的意义。基于青藏高原生长季草地的NDVI、气温、降水、放牧强度及人口数量等数据，在县区尺度上，采用趋势分析法探究了1982—2013年青藏高原143个县区生长季草地NDVI动态变化、气候变化及人类活动的变化，同时采用面板数据模型分析了32年来青藏高原143个县区气候、人为因子变化对草地NDVI变化的相对贡献。研究结果显示：（1）青藏高原高寒草地生长季NDVI总体呈增长趋势，草地植被生长状态呈现“整体改善、局部退化”趋势；（2）青藏高原生长季平均气温与降水量整体增加，气候呈现“暖湿化”趋势；（3）在长时间尺度上，气候因子主导了青藏高原高寒草地NDVI的变化，降雨和气温的增加促进草地NDVI的增加，放牧强度的持续增加则导致草地NDVI的减少。     

Changes in potential habitat of 147 North American breeding bird species in response to redistribution of trees and climate following predicted climate change

Mounting evidence shows that organisms have already begun to respond to global climate change. Advances in our knowledge of how climate shapes species distributional patterns has helped us better understand the response of birds to climate change. However, the distribution of birds across the landscape is also driven by biotic and abiotic components, including habitat characteristics. We therefore developed statistical models of 147 bird species distributions in the eastern United States, using climate, elevation, and the distributions of 39 tree species to predict contemporary bird distributions. We used randomForest, a robust regression‐based decision tree ensemble method to predict contemporary bird distributions. These models were then projected onto three models of climate change under high and low emission scenarios for both climate and the projected change in suitable habitat for the 39 tree species. The resulting bird species models indicated that breeding habitat will decrease by at least 10% for 61–79 species (depending on model and emissions scenario) and increase by at least 10% for 38–52 species in the eastern United States. Alternatively, running the species models using only climate/elevation (omitting tree species), we found that the predictive power of these models was significantly reduced (p<0.001). When these climate/elevation‐only models were projected onto the climate change scenarios, the change in suitable habitat was more extreme in 60% of the species. In the end, the strong associations with vegetation tempers a climate/elevation‐only response to climate change and indicates that refugia of suitable habitat may persist for these bird species in the eastern US, even after the redistribution of tree species. These results suggest the importance of interacting biotic processes and that further fine‐scale research exploring how climate change may disrupt species specific requirements is needed.     

不同形成时间高原鼢鼠鼠丘土壤养分分配规律

高原鼢鼠(Myospalax baileyi)作为青藏高原唯一营地下生活的鼠类,其造丘活动不仅能影响草地群落演替的方向和进程,而且对鼠丘土壤养分含量和分配造成空间异质性。关于不同形成时期的高原鼢鼠鼠丘养分含量及在垂直高度的分配规律研究报道尚少。基于此本研究以不同形成时期的鼢鼠鼠丘为研究对象,对鼠丘土壤养分含量及空间分配规律进行探讨。结果表明:随着鼠丘形成时间的推移,土壤养分总体表现为:1年鼠丘多年鼠丘对照区;与非鼠丘区相比,随着土壤土层增加,土壤养分未呈现规律性的变化。其中,土壤全氮和速效氮含量表现为1年鼠丘3年鼠丘5年鼠丘对照区;0—10cm土壤全磷和速效磷含量变化总体表现为多年鼠丘1年鼠丘对照区,10—30cm土层1年鼠丘土壤中全磷和速效磷含量最高。土壤速效钾和有机质含量随着鼠丘形成时间推移总体表现为:1年鼠丘5年鼠丘3年鼠丘;其中在10—30cm土层,1年鼠丘速效钾和有机质含量显著高于多年鼠丘和对照区。由此可见,高原鼢鼠造丘活动能显著改变土壤养分分配格局,短期内形成养分富集的肥力岛,为鼠丘土壤种子库中种子的萌发和植被生长提供必需的养分保证。     

Climate change may plunder the facultative top predator Yellow-throated Martin from the Hindu-Kush Himalayan Region

The mountain ecosystems are fragile because of topography and extreme climatic conditions. The Hindu-Kush Himalayan (HKH) region is a biodiversity-rich ecosystem and highly vulnerable to climate change and anthropogenic activities among the mountains. In HKH, the climate change impacts on ecologically specialist species are already evident, but generalist species are not much studied. One such generalist species distributed throughout the HKH is Yellow-Throated Marten (YTM) (Martes flavigula Boddaert, 1785), a facultative predator that occupies the Southern flank of the HKH. The YTM is one of the least studied animals distributed up to 4510-m elevation. The HKH covers 61 terrestrial ecoregions and 304 Protected Areas (PAs). An ecologically successful facultative predator of the region is seriously threatened because of habitat loss and climate change. Hence, we used an ensemble model to map the distribution of suitable habitats and their representativeness in terms of ecoregions and PA coverage. The results indicated that by 2050, the distribution range might decline to 58.78% and 49.33% with reference to the current scenario under the representative concentration pathway (RCP) 4.5 and 8.5 scenarios, respectively. The species may lose much of its range, mainly in the eastern part of the HKH landscape. Furthermore, the centroid of the distribution may also shift to the northwest, thereby abandoning many areas and occupying new refugia. The Upper Gangetic plains moist deciduous forests ecoregion possess the highest suitable habitats for the YTM, with a mean value of 0.744. At the same time, the existing PA network represents only 12.2% of its suitable habitat in HKH. Hence, for the long-term viability of the species, there is a need to enhance protection and improve habitat quality.     

How climate,migration ability and habitat fragmentation affect the projected future distribution of European beech

Recent efforts to incorporate migration processes into species distribution models (SDMs) are allowing assessments of whether species are likely to be able to track their future climate optimum and the possible causes of failing to do so. Here, we projected the range shift of European beech over the 21st century using a process‐based SDM coupled to a phenomenological migration model accounting for population dynamics, according to two climate change scenarios and one land use change scenario. Our model predicts that the climatically suitable habitat for European beech will shift north‐eastward and upward mainly because (i) higher temperature and precipitation, at the northern range margins, will increase survival and fruit maturation success, while (ii) lower precipitations and higher winter temperature, at the southern range margins, will increase drought mortality and prevent bud dormancy breaking. Beech colonization rate of newly climatically suitable habitats in 2100 is projected to be very low (1–2% of the newly suitable habitats colonised). Unexpectedly, the projected realized contraction rate was higher than the projected potential contraction rate. As a result, the realized distribution of beech is projected to strongly contract by 2100 (by 36–61%) mainly due to a substantial increase in climate variability after 2050, which generates local extinctions, even at the core of the distribution, the frequency of which prevents beech recolonization during more favourable years. Although European beech will be able to persist in some parts of the trailing edge of its distribution, the combined effects of climate and land use changes, limited migration ability, and a slow life‐history are likely to increase its threat status in the near future.     

放牧管理模式对高寒草甸鼢鼠鼠丘群落演替的影响

高寒草甸放牧利用下高原鼢鼠(Eospalax baileyi)等危害的发生是草地管理的关键难题,分析放牧管理模式对鼢鼠鼠丘植被群落演替的影响能为草地管理提供重要依据。研究选择划区轮牧(RG)、生长季休牧(GSG)、连续放牧(CG)和禁牧(PG)4种放牧管理模式,以及各模式下不同年限鼠丘(一年(ZM1)、两年(ZM2)、三年(ZM3)和多年鼠丘(ZMM))与对照(CM)草地。分析不同放牧管理模式对鼠丘植被群落特征和生物量等的影响,结果发现:PG和GSG下所有年限鼠丘的植被高度、地上生物量均高于RG和CG;RG和GSG下ZM1和ZM2物种Shannon-wiener指数均高于对照样地物种Shannon-wiener指数。主成分分析表明:RG下地上生物量和物种丰富度指数是影响鼠丘植被群落演替的重要因子,PG下地上生物量、盖度、Shannon-wiener指数和均匀度指数是鼠丘植被群落演替的重要因子,CG下物种丰富度和重要值是影响鼠丘植被群落演替的重要指标,GSG下Shannon-wiener指数、盖度和高度是影响鼠丘植被群落演替的重要指标。可见,不同放牧制度对鼠丘植被群落演替的影响不同,禁牧和生长季休牧管理模式能够较好地恢复鼠丘植被群落演替。     

Climate determinants of breeding and wintering ranges of lesser kestrels in Italy and predicted impacts of climate change

Climate warming would theoretically create conditions for the breeding range expansion of pseudo‐steppe Mediterranean and long‐distance migrant species and provide the possibility for these to overwinter in the same breeding areas. However, contemporary changes in rainfall regimes might have negative effects on the climate suitability and in turn, shrink species potential range. The lesser kestrel Falco naumanni is highly sensitive to rainfall oscillations and has recently extended its Italian breeding range towards northern latitudes and increasing its wintering records. We modelled the effects of temperature and rainfall on current and future climate suitability for lesser kestrels in both the breeding and wintering periods by using MaxEnt. Models were based on the distribution of 298 colonies and 40 wintering records. Future climate suitability was assessed under eight different scenarios. Spring rainfall amount resulted as the main determinant of breeding climate suitability, so its predicted reduction will determine a shrinkage in suitable areas (–42.10% in 2050; –32.07% in 2070). Specifically, the 66.05% of Italian colonies will be outside the climatically suitable area by 2050. However wide areas, suitable under current climate conditions, are still not occupied by lesser kestrel and allow the potential expansion of its Italian breeding range in the short term. Temperature seasonality mainly determined the species’ winter climate suitability, which is overall predicted to boost in the next decades (+145.03% in 2050; and +123.91% in 2070). All but one future scenarios predicted a northward shift of about 40 km for both breeding and wintering climate suitability. Despite its recent expansion, we have found that climate change will pose conservation concerns for the Italian breeding population of lesser kestrels. Indeed, changes in non‐climate factors will also outline the future suitability of the Italian range for lesser kestrels in both seasons with effects that might both strengthen or mitigate climate effects.     

The future distribution of river fish: The complex interplay of climate and land use changes,species dispersal and movement barriers

The future distribution of river fishes will be jointly affected by climate and land use changes forcing species to move in space. However, little is known whether fish species will be able to keep pace with predicted climate and land use‐driven habitat shifts, in particular in fragmented river networks. In this study, we coupled species distribution models (stepwise boosted regression trees) of 17 fish species with species‐specific models of their dispersal (fish dispersal model FIDIMO) in the European River Elbe catchment. We quantified (i) the extent and direction (up‐ vs. downstream) of predicted habitat shifts under coupled “moderate” and “severe” climate and land use change scenarios for 2050, and (ii) the dispersal abilities of fishes to track predicted habitat shifts while explicitly considering movement barriers (e.g., weirs, dams). Our results revealed median net losses of suitable habitats of 24 and 94 river kilometers per species for the moderate and severe future scenarios, respectively. Predicted habitat gains and losses and the direction of habitat shifts were highly variable among species. Habitat gains were negatively related to fish body size, i.e., suitable habitats were projected to expand for smaller‐bodied fishes and to contract for larger‐bodied fishes. Moreover, habitats of lowland fish species were predicted to shift downstream, whereas those of headwater species showed upstream shifts. The dispersal model indicated that suitable habitats are likely to shift faster than species might disperse. In particular, smaller‐bodied fish (<200 mm) seem most vulnerable and least able to track future environmental change as their habitat shifted most and they are typically weaker dispersers. Furthermore, fishes and particularly larger‐bodied species might substantially be restricted by movement barriers to respond to predicted climate and land use changes, while smaller‐bodied species are rather restricted by their specific dispersal ability.     

Upward elevation and northwest range shifts for alpine Meconopsis species in the Himalaya–Hengduan Mountains region

Climate change may impact the distribution of species by shifting their ranges to higher elevations or higher latitudes. The impacts on alpine plant species may be particularly profound due to a potential lack of availability of future suitable habitat. To identify how alpine species have responded to climate change during the past century as well as to predict how they may react to possible global climate change scenarios in the future, we investigate the climatic responses of seven species of Meconopsis, a representative genus endemic in the alpine meadow and subnival region of the Himalaya–Hengduan Mountains. We analyzed past elevational shifts, as well as projected shifts in longitude, latitude, elevation, and range size using historical specimen records and species distribution modeling under optimistic (RCP 4.5) and pessimistic (RCP 8.5) scenarios across three general circulation models for 2070. Our results indicate that across all seven species, there has been an upward shift in mean elevation of 302.3 m between the pre‐1970s (1922–1969) and the post‐1970s (1970–2016). The model predictions suggest that the future suitable climate space will continue to shift upwards in elevation (as well as northwards and westwards) by 2070. While for most of the analyzed species, the area of suitable climate space is predicted to expand under the optimistic emission scenario, the area contracts, or, at best, shows little change under the pessimistic scenario. Species such as M. punicea, which already occupy high latitudes, are consistently predicted to experience a contraction of suitable climate space across all the models by 2070 and may consequently deserve particular attention by conservation strategies. Collectively, our results suggest that the alpine high‐latitude species analyzed here have already been significantly impacted by climate change and that these trends may continue over the coming decades.