Plants Bioclimatic Affinity Groups in China: Observed vs. Simulated Ranges

Q2 Environmental Science Open Ecology Journal Pub Date : 2010-03-10 DOI:10.2174/1874213001003020024
Kangyou Huang, Zhuo Zheng, L. François, D. Guan, R. Cheddadi
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引用次数: 3

Abstract

Predicting future ecosystems changes is necessary for better managing human resources. Such forecasting requires robust vegetation models which have been tested versus observed field data. Nowadays, it is very common that a simulation model is firstly validated using modern observed data and then tested versus palaeodata. In a sense, ecological data represent the natural laboratory for modelers. Thus, palaeo and actuo-ecological data are key points when dealing with predicting future changes. The present work represents the first step in such data-model comparison approach. Here, we use only modern plants distributions to test the robustness of our ecosystems definitions and use these definitions for testing a dynamic vegetation model. We have defined twenty-nine Bioclimatic affinity groups (BAGs) for 196 dominant plant species including trees, shrubs and herbs in China. These BAGs are characterized by the phenology and the climatic tolerances of the species they include. They are detailed enough to describe all vegetation types in China including the tropical, the subtropical, the temperate and the high altitude (Tibet Plateau) ecosystems. The climatic thresholds of these 29 BAGs were then used to test and validate a global dynamic vegetation model (CARAIB). The simulated BAGs are in good agreement with those observed in China, especially in the Tibetan Plateau and in the subtropical ecosystems. Broadly, all simulated BAGs fit quite well with the modern distribution. However, they all cover larger areas than the observed distributions, especially in the temperate region and in some areas in the northwest and the tropical zone. These discrepancies between simulated and observed distributions are related to the fact that the vegetation models simulate potential distributions. In China during recent decades natural ecosystems, mostly in the temperate zone, have been strongly altered in their species composition and geographical extent by different human activities such as the intense cultivation, deforestation, introduction of fast growing species and grazing.
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中国植物生物气候亲缘类群:观测范围与模拟范围
预测未来生态系统的变化对于更好地管理人力资源是必要的。这种预测需要经过实地观测数据检验的可靠植被模型。目前,模拟模型首先使用现代观测数据进行验证,然后与古数据进行测试是很常见的。从某种意义上说,生态数据代表了建模者的天然实验室。因此,古数据和实际生态数据是预测未来变化的关键。目前的工作是这种数据模型比较方法的第一步。在这里,我们只使用现代植物分布来测试我们的生态系统定义的稳健性,并使用这些定义来测试动态植被模型。本文对中国196种优势植物,包括乔木、灌木和草本植物,确定了29个生物气候亲和群(bag)。这些袋子的特点是物候和气候耐受性的物种,他们包括。它们足够详细地描述中国所有的植被类型,包括热带、亚热带、温带和高海拔(青藏高原)生态系统。然后利用这29个bag的气候阈值来测试和验证全球动态植被模型(CARAIB)。模拟的bag与中国的观测值吻合较好,特别是在青藏高原和亚热带生态系统。总的来说,所有的模拟包都非常适合现代的分布。但是,它们的覆盖面积都比观测到的分布面积大,特别是在温带地区以及西北和热带的一些地区。模拟分布与观测分布之间的差异与植被模式模拟潜在分布有关。近几十年来,中国自然生态系统(主要位于温带地区)的物种组成和地理范围受到人类活动的强烈影响,如密集的耕作、森林砍伐、快速生长物种的引入和放牧。
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Open Ecology Journal
Open Ecology Journal Environmental Science-Environmental Science (all)
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期刊介绍: The Open Ecology Journal is an open access online journal which embraces the trans-disciplinary nature of ecology, seeking to publish original research articles, reviews, letters and guest edited single topic issues representing important scientific progress from all areas of ecology and its linkages to other fields. The journal also focuses on the basic principles of the natural environment and its conservation. Contributions may be based on any taxa, natural or artificial environments, biodiversity, spatial scales, temporal scales, and methods that advance this multi-faceted and dynamic science. The Open Ecology Journal also considers empirical and theoretical studies that promote the construction of a broadly applicable conceptual framework or that present rigorous tests or novel applications of ecological theory.
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