Li Furong, Gaillard Marie-José, Xu Qinghai, Bunting Mairi J, Li Yuecong, Li Jie, Mu Huishuang, Lu Jingyao, Zhang Panpan, Zhang Shengrui, Cui Qiaoyu, Zhang Yahong, Shen Wei
Department of Biology and Environmental Science, Linnaeus University, Kalmar, Sweden.
College of Resources and Environment Science, Hebei Normal University, Shijiazhuang, China.
Front Plant Sci. 2018 Sep 5;9:1214. doi: 10.3389/fpls.2018.01214. eCollection 2018.
Model-based quantitative reconstruction of past plant cover in Europe has shown great potential for: (i) testing hypotheses related to Holocene vegetation dynamics, biodiversity, and their relationships with climate and land use; (ii) studying long term interactions between climate and land use. Similar model-based quantitative reconstruction of plant cover in China has been restricted due to the lack of standardized datasets of existing estimates of relative pollen productivity (RPP). This study presents the first synthesis of all RPP values available to date for 39 major plant taxa from temperate China and proposes standardized RPP datasets that can be used for model-based quantitative reconstructions of past plant cover using fossil pollen records for the region. We review 11 RPP studies in temperate China based on modern pollen and related vegetation data around the pollen samples. The study areas include meadow, steppe and desert vegetation, various woodland types, and cultural landscapes. We evaluate the strategies of each study in terms of selection of study areas and distribution of study sites; pollen- and vegetation-data collection in field; vegetation-data collection from satellite images and vegetation maps; and data analysis. We compare all available RPP estimates, select values based on precise rules and calculate mean RPP estimates. We propose two standardized RPP datasets for 31 (Alt1) and 29 (Alt2) plant taxa. The ranking of mean RPPs (Alt-2) relative to Poaceae (= 1) for eight major taxa is: (21) > (18.4) > (12.5) > (11.5) > Elaeagnaceae (8.8) > (7.5) > Compositae (4.5) > Amaranthaceae/Chenopodiaceae (4). We conclude that although RPPs are comparable between Europe and China for some genera and families, they can differ very significantly, e.g., , Compositae, and Amaranthaceae/Chenopodiaceae. For some taxa, we present the first RPP estimates e.g. , Elaeagnaceae, and . The proposed standardized RPP datasets are essential for model-based reconstructions of past plant cover using fossil pollen records from temperate China.
（i）检验与全新世植被动态、生物多样性及其与气候和土地利用关系相关的假设；（ii）研究气候与土地利用之间的长期相互作用。由于缺乏相对花粉生产率（RPP）现有估计值的标准化数据集，中国类似的基于模型的植被覆盖度定量重建受到限制。本研究首次综合了目前可得的来自中国温带地区39种主要植物类群的所有RPP值，并提出了标准化的RPP数据集，可用于利用该地区的化石花粉记录对过去植被覆盖度进行基于模型的定量重建。我们基于现代花粉以及花粉样本周围的相关植被数据，回顾了中国温带地区的11项RPP研究。研究区域包括草地、草原和荒漠植被、各种林地类型以及文化景观。我们从研究区域的选择和研究地点的分布、野外花粉和植被数据的收集、从卫星图像和植被图收集植被数据以及数据分析等方面评估了每项研究的策略。我们比较了所有可得的RPP估计值，根据精确规则选择数值并计算平均RPP估计值。我们为31种（Alt1）和29种（Alt2）植物类群提出了两个标准化的RPP数据集。相对于禾本科（=1），八个主要类群平均RPPs（Alt - 2）的排序为：蔷薇科（21）>豆科（18.4）>松科（12.5）>桦木科（11.5）>胡颓子科（8.8）>壳斗科（7.5）>菊科（4.5）>苋科/藜科（4）。我们得出结论，尽管欧洲和中国某些属和科的RPPs具有可比性，但它们也可能存在非常显著的差异，例如蔷薇科、菊科以及苋科/藜科。对于一些类群，我们给出了首个RPP估计值，例如胡颓子科、壳斗科以及桦木科。所提出的标准化RPP数据集对于利用中国温带地区的化石花粉记录对过去植被覆盖度进行基于模型的重建至关重要。
