Browsing by Subject "WORLD MAP"

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  • Reyes-Garcia, Victoria; Garcia-del-Amo, David; Benyei, Petra; Fernandez-Llamazares, Alvaro; Gravani, Konstantina; Junqueira, Andre B.; Labeyrie, Vanesse; Li, Xiaoyue; Matias, Denise M. S.; McAlvay, Alex; Mortyn, Peter Graham; Porcuna-Ferrer, Anna; Schlingmann, Anna; Soleymani-Fard, Ramin (2019)
    Bringing insights from Indigenous and local knowledge into climate change research requires addressing the transferability, integration, and scalability of this knowledge. Using a review of research on place-based observations of climate change impacts, we explore ways to address these challenges. Our search mostly captured scientist-led qualitative research, which - while facilitating place-based knowledge transferability to global research - did not include locally led efforts documenting climate change impacts. We classified and organized qualitative multi-site place-based information into a hierarchical system that fosters dialogue with global research, providing an enriched picture of climate change impacts on local social-ecological systems. A network coordinating the scalability of place-based research on climate change impacts is needed to bring Indigenous and local knowledge into global research and policy agendas.
  • Guan, Yanlong; Lu, Hongwei; Jiang, Yelin; Tian, Peipei; Qiu, Lihua; Heiskanen, Janne; Pellikka, Petri (2021)
    Variations in climate types are commonly used to describe changes in natural vegetation cover in response to global climate change. However, few attempts have been made to quantify the heterogeneous dynamics of climate types. In this study, based on the Coupled Model Intercomparison Project phase 5 (CMIP5) historical and representative concentration pathway (RCP) runs from 18 global climate models, we used Shannon's Diversity Index (SHDI) and Simpson's Diversity Index (SIDI) to characterise of global climate heterogeneity from a morphological perspective. Our results show that global climate heterogeneity calculated by the SHDI/SIDI indices decreased from 1901 to 2095 at a significance level of 0.01. As radiative forcing intensified from RCP 2.6 to 8.5, the SHDI/SIDI decreased significantly. Furthermore, we observed that the spatial distribution of global climate heterogeneity was significantly reduced, with a pronounced latitudinal trend. Sensitivity analysis indicated that the temperature increase played a more significant role in reducing global climate heterogeneity than precipitation under the three warming scenarios, which is possibly attributed to anthropogenic forcing. Our findings suggest that the dynamics of global climate heterogeneity can be an effective means of quantifying global biodiversity loss.
  • Guan, Yanlong; Lu, Hongwei; He, Li; Adhikari, Hari; Pellikka, Petri; Maeda, Eduardo; Heiskanen, Janne (2020)
    Increases and decreases in the areas of climatic types have become one of the most important responses to climate warming. However, few attempts have been made to quantify the complementary relationship between different climate types or to further assess changes in the spatial morphology. In this study, we used different observed datasets to reveal a dispersion phenomenon between major global climate types in 1950-2010, which is significantly consistent with the increasing trend of global temperatures. As the standard deviation of the area of major climate zones strengthened in 1950-2010, the global climatic landscape underwent notable changes. Not only did the area change, but the shape of the overall boundary became regular, the aggregation of climatic patches strengthened, and the climatic diversity declined substantially. However, changes in the global climatic landscapes are not at equilibrium with those on the continental scale. Interpreting these climatic morphological indices can deepen our understanding of the redistribution response mechanisms of species to climate change and help predict how they will be impacted by long-term future climate change.
  • Guan, Yanlong; Cui, Wenhui; Liu, Junguo; Lu, Hongwei; Jiang, Yelin; Xue, Yuxuan; Heiskanen, Janne (2021)
    Emerging and disappearing climate zones are frequently used to diagnose and project climate change. However, little attempt has been made to quantify shifts of climate zones in Qinghai-Tibet Plateau (QTP) based on the high-resolution data sets. Our results show that highland climate was decreased substantially during 1961-2011 and were mainly replaced by boreal climate. We also found that the mean elevation of boreal and highland climate continues to rise, with obvious longitudinal geographical characteristics over the study period. Furthermore, we found that the climate spaces (a climate space defined as the volume of 10 degrees C x 500 mm here) of both boreal and highland climate types tend to be warm and humid ones, which may provide more suitable climate conditions for species to maintain and promote diversity. Characterization of changes in QTP climate types deepens our understanding of regional climate and its biological impacts. Plain Language Summary Climate classification is the key to simplifying complex climate and helps to deepen the understanding of regional climate change. Based on the high-resolution data set (LZ0025), the sharp climatic gradient features and their potential biological impact on Qinghai-Tibet Plateau (QTP) was quantified. With the temperature increase, the spatial distribution of highland tundra climate was gradually replaced by boreal climate. More importantly, the contraction of highland climate and the expansion of boreal climate has obvious elevation characteristics. In addition, climate spaces of highland and boreal climate types tend to warm and humid ones, which may provide more climatic niches for different species and contribute to regional biodiversity.