半干旱内布拉斯加州沙丘草地15年生物量生产：第二部分-对季节降水和温度的响应

IF 2.4 3区环境科学与生态学 Q2 ECOLOGY

Rangeland Ecology & Management Pub Date : 2025-04-28 DOI:10.1016/j.rama.2025.03.007

Biquan Zhao , Mitchell B. Stephenson , Tala Awada , Jerry D. Volesky , Brian Wardlow , Yuzhen Zhou , Yeyin Shi

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引用次数: 0

摘要

地上植物生物量生产可以对季节内和季节间的气候变化表现出不同的响应。利用每年从美国内布拉斯加州Sandhills草地放牧放牧中收集的长期数据集（2007-2021），我们的第一部分论文报告了15年来草地植物产量的变化。本文采用逐步（正）线性回归方法模拟了季节天气对植物总生物量和3个植物功能群生物量的影响。生物量数据每年在以下三个时期进行测量：季初（4月至6月中旬）、季末（6月中旬至8月中旬）和全季（4月至8月中旬）。天气变量来源于降水和温度，分为数量、指数和模式变量。每个天气变量的时间变异性在四个时间段进行了量化：三个季节内条件（当年度的季初、季末和全季节）和一个跨季节条件（前一年的全季节）。结果表明，植物的生产响应在不同的功能群和不同的时期存在差异。夏季湿润条件下，晚季c4草产量显著增加(P <；0.05)。前一年的干燥生长季往往会降低后年早季c3草产量(P <；0.05)，前一年较暖的生长季节可能会提高后一年的牧草产量(P <；0.001)。植物总产量表现出更为复杂的季节格局，主要受特定生长期植物个体功能群差异的驱动。这种复杂性反映了混合植物功能群对天气变化的集体反应。了解这些复杂的关系是预测草地植物产量以及制定和实施适应气候变化的适当放牧策略的基础。该研究将最终为提高沙山半干旱草地生态系统的生态可持续性和恢复力提供支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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15-Yr Biomass Production in Semiarid Nebraska Sandhills Grassland: Part 2-Response to Seasonal Precipitation and Temperature

Aboveground plant biomass production can exhibit varied responses to within- and across-season weather variability. Using a long-term data set (2007–2021) collected annually from grazing exclosures in a Sandhills grassland in Nebraska, USA, our part-1 paper reported 15 yr of changes in grassland plant production. In this paper, we modeled seasonal weather impacts on total plant biomass and biomass of three plant functional groups using stepwise (forward) linear regression. Biomass data were measured for the following three periods each year: early season (April to midJune), late season (midJune to midAugust), and full season (April to midAugust). Weather variables, derived from precipitation and temperature, were categorized into amount, index, and pattern variables. The temporal variability of each weather variable was quantified across four time periods: three within-season conditions (early season, late-season, and full-season periods of the current year) and an across-season condition (the full-season period of the previous year). The results indicated that plant production responses varied among functional groups and across time periods. Late-season C₄-grass production significantly increased under wetter summer conditions (P < 0.05). A dry growing season in the previous year tended to decrease subsequent-year early season C₃-grass production (P < 0.05), and a warmer growing season in the previous year was likely to enhance subsequent-year forb production (P < 0.001). Total plant production exhibited more complex seasonal patterns, primarily driven by the differences in individual plant functional groups during specific growing periods. This complexity reflects the collective responses of mixed plant functional groups to weather variability. Understanding these complex relationships is fundamental to predicting grassland plant production as well as developing and implementing appropriate grazing strategies that adapt to changing climate variability. This study will ultimately support the enhancement of ecological sustainability and resilience of the Sandhills semiarid grassland ecosystem.

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来源期刊

Rangeland Ecology & Management 农林科学-环境科学

CiteScore

4.60

自引率

13.00%

发文量

审稿时长

12-24 weeks

期刊介绍： Rangeland Ecology & Management publishes all topics-including ecology, management, socioeconomic and policy-pertaining to global rangelands. The journal''s mission is to inform academics, ecosystem managers and policy makers of science-based information to promote sound rangeland stewardship. Author submissions are published in five manuscript categories: original research papers, high-profile forum topics, concept syntheses, as well as research and technical notes. Rangelands represent approximately 50% of the Earth''s land area and provision multiple ecosystem services for large human populations. This expansive and diverse land area functions as coupled human-ecological systems. Knowledge of both social and biophysical system components and their interactions represent the foundation for informed rangeland stewardship. Rangeland Ecology & Management uniquely integrates information from multiple system components to address current and pending challenges confronting global rangelands.