
Global Ecology and Conservation, Год журнала: 2024, Номер 54, С. e03157 - e03157
Опубликована: Авг. 23, 2024
Язык: Английский
Global Ecology and Conservation, Год журнала: 2024, Номер 54, С. e03157 - e03157
Опубликована: Авг. 23, 2024
Язык: Английский
Ecography, Год журнала: 2018, Номер 42(7), С. 1267 - 1279
Опубликована: Сен. 28, 2018
Species distribution models (SDMs) have rapidly evolved into one of the most widely used tools to answer a broad range ecological questions, from effects climate change challenges for species management. Current SDMs and their predictions under anthropogenic are, however, often based on free‐air or synoptic temperature conditions with coarse resolution, thus fail capture apparent (cf. microclimate) experienced by living organisms within habitats. Yet microclimate operates as soon habitat can be characterized vertical component (e.g. forests, mountains, cities) horizontal variation in surface cover. The mismatch between how we usually express coarse‐grained conditions) microclimatic that experience has only recently been acknowledged SDMs, yet several studies already made considerable progress tackling this problem different angles. In review, summarize currently available methods obtain meaningful data use modelling. We discuss issue extent propose an integrated framework using selection appropriately‐placed sensors combination both detailed measurements 3D structure, example derived digital elevation airborne laser scanning, long‐term records weather stations. As such, relevant spatiotemporal resolution dynamically model current future distributions.
Язык: Английский
Процитировано
295Advances in ecological research/Advances in Ecological Research, Год журнала: 2018, Номер unknown, С. 101 - 161
Опубликована: Янв. 1, 2018
Язык: Английский
Процитировано
226Nature Ecology & Evolution, Год журнала: 2023, Номер 7(3), С. 405 - 413
Опубликована: Янв. 26, 2023
Abstract High-elevation ecosystems are among the few worldwide that not yet heavily invaded by non-native plants. This is expected to change as species expand their range limits upwards fill climatic niches and respond ongoing anthropogenic disturbances. Yet, whether how quickly these changes happening has only been assessed in a isolated cases. Starting 2007, we conducted repeated surveys of plant distributions along mountain roads 11 regions from 5 continents. We show over 5- 10-year period, number increased on average approximately 16% per decade across regions. The direction magnitude upper limit shifts depended elevation all Supported null-model approach accounting for chance alone, found greater than upward at lower/mid elevations least seven After dependence, significant were detected further three (revealing evidence 10 regions). Together, our results environments becoming increasingly exposed biological invasions, emphasizing need monitor prevent potential biosecurity issues emerging high-elevation ecosystems.
Язык: Английский
Процитировано
58Global Ecology and Biogeography, Год журнала: 2019, Номер 28(11), С. 1578 - 1596
Опубликована: Июль 22, 2019
Abstract Aim Although species distribution models (SDMs) traditionally link occurrences to free‐air temperature data at coarse spatio‐temporal resolution, the of organisms might instead be driven by temperatures more proximal their habitats. Several solutions are currently available, such as downscaled or interpolated coarse‐grained temperatures, satellite‐measured land surface (LST) in‐situ‐measured soil temperatures. A comprehensive comparison sources and performance in SDMs is, however, lacking. Location Northern Scandinavia. Time period 1970–2017. Major taxa studied Higher plants. Methods We evaluated different (WorldClim, CHELSA, MODIS, E‐OBS, topoclimate from miniature loggers), differing spatial resolution (from 1″ 0.1°), measurement focus (free‐air, ground‐surface temperature) temporal extent (year‐long versus long‐term averages), used them fit for 50 plant with growth forms a high‐latitudinal mountain region. Results Differences between these originating overshadow effects climatic differences elevational lapse rates ranging −0.6°C per 100 m −0.2°C in‐situ Most importantly, we found that depended on species. The use improved explanatory power our ( R 2 average +16%), especially forbs graminoids +24 +21% average, respectively) compared other sources. Main conclusions suggest future studies using should dataset best reflects ecology species, rather than automatically WorldClim CHELSA.
Язык: Английский
Процитировано
132Climate Change Ecology, Год журнала: 2025, Номер unknown, С. 100092 - 100092
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
2Frontiers in Plant Science, Год журнала: 2018, Номер 9
Опубликована: Июль 31, 2018
The spatial patterning of alpine plant communities is strongly influenced by the variation in physical factors such as temperature and moisture, which are affected snow depth snowmelt patterns. Earlier timing greater soil-moisture limitations may favor wide-ranging species adapted to a broader set ecohydrological conditions than alpine-restricted species. We asked how community composition, phenology, water relations, photosynthetic gas exchange differ their responses ca. 40-day gradient Colorado Rocky Mountains (Lewisia pygmaea, Sibbaldia procumbens, Hymenoxys grandiflora were Artemisia scopulorum, Carex rupestris, Geum rossii species). As hypothesized, richness foliar cover increased with earlier snowmelt, due abundance present melting plots. Flowering initiation occurred for 12 out 19 analyzed, while flowering duration was shortened later six (all but one observed >50% declines net photosynthesis from July September soil moisture potentials declined. Early-season stomatal conductance higher species, indicating more competitive strategy acquisition when high. Even so, there no associated differences or transpiration, suggesting strong between these groups physiology. Our findings reveal that different ranges (alpine-restricted vs. wide-ranging) could have differential phenological physiological dry-down, species' performance sensitive snowmelt. result, serve better indicator heterospecifics. Overall, composition peak % structured spatio-temporal patterns timing. Thus, near-term, community-wide changes (or variation) phenology physiology response shifts rates dry down likely be contingent on legacy past climate structure.
Язык: Английский
Процитировано
77Scientific Reports, Год журнала: 2020, Номер 10(1)
Опубликована: Янв. 28, 2020
Abstract High-alpine ecosystems are commonly assumed to be particularly endangered by climate warming. Recent research, however, suggests that the heterogeneous topography of alpine landscapes provide microclimatic niches for plants (i.e. soil temperatures support establishment and reproduction species). Whether heterogeneity also affects diversity or species interactions on higher trophic levels remains unknown. Here we show variation in mean seasonal temperature within an pasture is same range as plots differing nearly 500 m elevation. This pronounced among affected spatial distribution flowering plant our study area with a richness cover warmer plots. increased productivity positively flower visitor taxa well interaction frequency. Additionally, flower-visitor networks were more generalized cover. These results suggest directly indirectly network stability. The strong effect communities their partners may mitigate warming impacts enabling track suitable confined area.
Язык: Английский
Процитировано
55Atmosphere, Год журнала: 2021, Номер 12(5), С. 543 - 543
Опубликована: Апрель 23, 2021
Comparing and evaluating global climate datasets their effect on model performance in regions with limited data availability has received little attention ecological modeling studies so far. In this study, we aim at comparing the interpolated dataset Worldclim 1.4, which is most widely used studies, quasi-mechanistical downscaled Chelsa, as well latest versions 2.1 Chelsa 1.2, regard to suitability for studies. To evaluate of these meso-scale, niche Betula utilis Nepal modeled under current future conditions. We underline differences regarding methodology bias correction between highlight potential drawbacks models remote high mountain regions. Regarding prediction plausibility climatic conditions, Chelsa-based significantly outperformed Worldclim-based models, however, version contains partially inherent distorted precipitation amounts. This study emphasizes that unmindful usage may have severe consequences treeline species high-altitude projections, if based flawed predictions. The results illustrate inevitable need interdisciplinary investigations collaboration scientists ecologists enhance climate-based quality meso- local-scales by accounting local-scale physical features temporal spatial resolution.
Язык: Английский
Процитировано
52Functional Ecology, Год журнала: 2021, Номер 35(7), С. 1424 - 1436
Опубликована: Апрель 11, 2021
Abstract Most studies in global change biology predict biological impacts of warming from information on macroclimates. organisms, however, live microhabitats with physical conditions which are decoupled to varying degrees those macroclimates depending partly organism body size. Small ectotherms a few millimetres length deep surface boundary layers such that their heat budgets dominated by different processes compared larger ectotherms, whose bodies emerge layers. We therefore hypothesized the size relative layer thickness generates patterns temperature variation for organisms same nominal habitats. tested this hypothesis community arthropods living subalpine plant combining models acquire high‐resolution time series operative temperatures, thermal imaging assess strength coupling between or arthropod and surrounding leaf cross‐scale approach infer distributions available small ectotherms. The model strongly influenced dynamics: bigger, warmer. were just warmer than surfaces, whereas large deviated >10°C. found similar naturally occurring arthropods. Temperatures insects closely tracked temperatures even full sun, surfaces. At whole scale, diversity surfaces was high, especially typically generating range microclimatic (for insects) Larger instead could move shaded sunny portions vary extent. bulk animal biodiversity consists terrestrial arthropods, majority associated at some point life cycles. distribution sizes determines how much is behavioural thermoregulation, thereby contributing potential response climate change. A free Plain Language Summary can be within Supporting Information article.
Язык: Английский
Процитировано
48Plants, Год журнала: 2025, Номер 14(3), С. 306 - 306
Опубликована: Янв. 21, 2025
Xanthium spinosum (X. spinosum) is a highly invasive weed native to South America and distributed in 17 provinces (municipalities) of China. It has severely negative influences on ecosystems, agriculture, husbandry. However, few studies have reported the impact human activity climate change future distribution centroid shift X. spinosum. This study aimed investigate potential geological China, as well pattern, shift, key environmental factors influencing its distribution, under four scenarios (SSP1-26, SSP2-45, SSP3-70, SSP5-85) based biomod2-integrated model. The results indicated that suitable habitats for would expand future, mainly Inner Mongolia, Northeast plateau regions (e.g., Xinjiang Xizang). Under scenarios, toward northwest or northeast part with SSP2-45-2050s scenario showing maximum distance (161.990 km). Additionally, variables spinosum, including index, bio5, bio7, bio12, were determined, revealing most them related activities, temperature, precipitation. enhances understanding influence geographic range provides references early warning management control
Язык: Английский
Процитировано
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