The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Qian Hao - One of the best experts on this subject based on the ideXlab platform.
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climate driven speedup of alpine treeline Forest Growth in the tianshan mountains northwestern china
Global Change Biology, 2015Co-Authors: Hongyan Liu, Qian HaoAbstract:Forest Growth is sensitive to interannual climatic change in the alpine treeline ecotone (ATE). Whether the alpine treeline ecotone shares a similar pattern of Forest Growth with lower elevational closed Forest belt (CFB) under changing climate remains unclear. Here, we reported an unprecedented acceleration of Picea schrenkiana Forest Growth since 1960s in the ATE of Tianshan Mountains, northwestern China by a stand-total sampling along six altitudinal transects with three plots in each transect: one from the ATE between the treeline and the Forest line, and the other two from the CFB. All the sampled P. schrenkiana Forest patches show a higher Growth speed after 1960 and, comparatively, Forest Growth in the CFB has sped up much slower than that in the ATE. The speedup of Forest Growth at the ATE is mainly accounted for by climate factors, with increasing temperature suggested to be the primary driver. Stronger water deficit as well as more competition within the CFB might have restricted Forest Growth there more than that within the ATE, implying biotic factors were also significant for the accelerated Forest Growth in the ATE, which should be excluded from simulations and predictions of warming-induced treeline dynamics.
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Climate‐driven speedup of alpine treeline Forest Growth in the Tianshan Mountains, Northwestern China
Global change biology, 2014Co-Authors: Hongyan Liu, Qian HaoAbstract:Forest Growth is sensitive to interannual climatic change in the alpine treeline ecotone (ATE). Whether the alpine treeline ecotone shares a similar pattern of Forest Growth with lower elevational closed Forest belt (CFB) under changing climate remains unclear. Here, we reported an unprecedented acceleration of Picea schrenkiana Forest Growth since 1960s in the ATE of Tianshan Mountains, northwestern China by a stand-total sampling along six altitudinal transects with three plots in each transect: one from the ATE between the treeline and the Forest line, and the other two from the CFB. All the sampled P. schrenkiana Forest patches show a higher Growth speed after 1960 and, comparatively, Forest Growth in the CFB has sped up much slower than that in the ATE. The speedup of Forest Growth at the ATE is mainly accounted for by climate factors, with increasing temperature suggested to be the primary driver. Stronger water deficit as well as more competition within the CFB might have restricted Forest Growth there more than that within the ATE, implying biotic factors were also significant for the accelerated Forest Growth in the ATE, which should be excluded from simulations and predictions of warming-induced treeline dynamics.
Hongyan Liu - One of the best experts on this subject based on the ideXlab platform.
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climate driven speedup of alpine treeline Forest Growth in the tianshan mountains northwestern china
Global Change Biology, 2015Co-Authors: Hongyan Liu, Qian HaoAbstract:Forest Growth is sensitive to interannual climatic change in the alpine treeline ecotone (ATE). Whether the alpine treeline ecotone shares a similar pattern of Forest Growth with lower elevational closed Forest belt (CFB) under changing climate remains unclear. Here, we reported an unprecedented acceleration of Picea schrenkiana Forest Growth since 1960s in the ATE of Tianshan Mountains, northwestern China by a stand-total sampling along six altitudinal transects with three plots in each transect: one from the ATE between the treeline and the Forest line, and the other two from the CFB. All the sampled P. schrenkiana Forest patches show a higher Growth speed after 1960 and, comparatively, Forest Growth in the CFB has sped up much slower than that in the ATE. The speedup of Forest Growth at the ATE is mainly accounted for by climate factors, with increasing temperature suggested to be the primary driver. Stronger water deficit as well as more competition within the CFB might have restricted Forest Growth there more than that within the ATE, implying biotic factors were also significant for the accelerated Forest Growth in the ATE, which should be excluded from simulations and predictions of warming-induced treeline dynamics.
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Climate‐driven speedup of alpine treeline Forest Growth in the Tianshan Mountains, Northwestern China
Global change biology, 2014Co-Authors: Hongyan Liu, Qian HaoAbstract:Forest Growth is sensitive to interannual climatic change in the alpine treeline ecotone (ATE). Whether the alpine treeline ecotone shares a similar pattern of Forest Growth with lower elevational closed Forest belt (CFB) under changing climate remains unclear. Here, we reported an unprecedented acceleration of Picea schrenkiana Forest Growth since 1960s in the ATE of Tianshan Mountains, northwestern China by a stand-total sampling along six altitudinal transects with three plots in each transect: one from the ATE between the treeline and the Forest line, and the other two from the CFB. All the sampled P. schrenkiana Forest patches show a higher Growth speed after 1960 and, comparatively, Forest Growth in the CFB has sped up much slower than that in the ATE. The speedup of Forest Growth at the ATE is mainly accounted for by climate factors, with increasing temperature suggested to be the primary driver. Stronger water deficit as well as more competition within the CFB might have restricted Forest Growth there more than that within the ATE, implying biotic factors were also significant for the accelerated Forest Growth in the ATE, which should be excluded from simulations and predictions of warming-induced treeline dynamics.
Philippe Ciais - One of the best experts on this subject based on the ideXlab platform.
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Warming-induced unprecedented high-elevation Forest Growth over the monsoonal Tibetan Plateau
Environmental Research Letters, 2020Co-Authors: Chunming Shi, Lea Schneider, Miaogen Shen, Cheng Sun, Jianyang Xia, Bruce C. Forbes, Peili Shi, Yuandong Zhang, Philippe CiaisAbstract:Growth of high-elevation Forests is generally temperature-limited and thus sensitive to warming. The Tibetan Plateau has experienced fast warming rates associated with decreased summer monsoon rainfall over the last century. However, whether such warming and monsoon-induced drought could offset a potential warming-driven enhancement of Forest Growth has not been examined. Here, we have compiled high-elevation Forest Growth data at 40 sites over the monsoonal Tibetan Plateau (MTP), and combined them in a high-elevation Forest Growth index (HEFGI) spanning 1567-2010. Tree Growth in this region was significantly and positively correlated with July-October minimum temperatures during 1950-2010 (R 2 = 0.53 P < 0.001), and insignificantly coherent with soil moisture and precipitation. The HEFGI of MTP reaches its highest values from the 2000s onwards. This result suggests that the mean HEFGI of MTP has not been negatively affected by the current drying trend and responded positively to increased temperatures.
Jerome K. Vanclay - One of the best experts on this subject based on the ideXlab platform.
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Forest Growth and Yield Modeling: Vanclay/Forest Growth and Yield Modeling - Forest Growth and Yield Modeling: Vanclay/Forest Growth and Yield Modeling
2011Co-Authors: Aaron R. Weiskittel, David W. Hann, John A. Kershaw, Jerome K. VanclayAbstract:Completely updated and expanded new edition of this widely cited book, Modelling Forest Growth and Yield, 2nd Edition synthesizes current scientific literature, provides insights in how models are constructed, gives suggestions for future developments, and outlines keys for successful implementation of models.The book describes current modeling approaches for predicting Forest Growth and yield and explores the components that comprise the various modeling approaches. It provides the reader with the tools for evaluating and calibrating Growth and yield models and outlines the steps necessary for developing a Forest Growth and yield mode
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Forest Growth and Yield Modeling
2011Co-Authors: Aaron R. Weiskittel, David W. Hann, John A. Kershaw, Jerome K. VanclayAbstract:Forest Growth models attempt to quantify the Growth of a Forest, and are commonly used for two principal purposes: to predict the future status of a Forest and the nature of any harvests from that Forest, and to help consider alternative cultivation practices. Models may also find other uses, such as in education, communicating information, etc. Depending on the purpose of the model, modelers may choose to emphasize physiological detail or statistical efficiency, but generally seek both biological and statistical accuracy.
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Realizing opportunities in Forest Growth modelling
Canadian Journal of Forest Research, 2003Co-Authors: Jerome K. VanclayAbstract:The world is continually changing; the emergence of new technology and new demands for pertinent information pose new challenges and possibilities for Forest management. Are Forest Growth models keeping up with client needs? To remain relevant, modelers need to anticipate client needs, gauge the data needed to satisfy these demands, develop the tools to collect and analyze these data efficiently, and resolve how best to deliver the resulting models and other findings. Researchers and managers should jointly identify and articulate anticipated needs for the future and initiate action to satisfy them. New technology that offers potential for innovation in Forest Growth modelling include modelling software, automated data collection, and animation of model outputs. New sensors in the sky and on Forest machines can routinely provide data previously considered unattainable (e.g., tree coordinates, crown dimensions), as census rather than sample data. What does this revolution in data availability imply for for...
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Evaluating Forest Growth Models
Ecological Modelling, 1997Co-Authors: Jerome K. Vanclay, Jens Peter SkovsgaardAbstract:Effective model evaluation is not a single, simple procedure, but comprises several interrelated steps that cannot be separated from each other or from the purpose and process of model construction. We draw attention to several statistical and graphical procedures that may assist in model calibration and evaluation, with special emphasis on those useful in Forest Growth modelling. We propose a five-step framework to examine logic and bio-logic, statistical properties, characteristics of errors, residuals, and sensitivity analyses. Empirical evaluations may be made both with data used in fitting the model, and with additional data not previously used. We emphasize that the validity of conclusions drawn from all these assessments depends on the validity of assumptions underlying both the model and the evaluation. These principles should be kept in mind throughout model construction and evaluation.
Rubén Manso - One of the best experts on this subject based on the ideXlab platform.
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Uncertainty assessment of large-scale Forest Growth predictions based on a transition-matrix model in Catalonia
Annals of Forest Science, 2016Co-Authors: Mathieu Fortin, Nicolas Robert, Rubén MansoAbstract:Key message When predicting Forest Growth at a regional or national level, uncertainty arises from the sampling and the prediction model. Using a transition-matrix model, we made predictions for the whole Catalonian Forest over an 11-year interval. It turned out that the sampling was the major source of uncertainty and accounted for at least 60 % of the total uncertainty.