five

Data from: Elevated CO2 induces substantial and persistent declines in forage quality irrespective of warming in mixedgrass prairie|生态学数据集|农业科学数据集

收藏
DataONE2017-12-18 更新2024-06-26 收录
生态学
农业科学
下载链接:
https://search.dataone.org/view/null
下载链接
链接失效反馈
资源简介:
Increasing atmospheric [CO2] and temperature are expected to affect the productivity, species composition, biogeochemistry, and therefore the quantity and quality of forage available to herbivores in rangeland ecosystems. Both elevated CO2 (eCO2) and warming affect plant tissue chemistry through multiple direct and indirect pathways, such that the cumulative outcomes of these effects are difficult to predict. Here, we report on a 7-year study examining effects of CO2 enrichment (to 600 ppm) and infrared warming (+1.5°C day/3°C night) under realistic field conditions on forage quality and quantity in a semiarid, mixed-grass prairie. For the 3 dominant forage grasses, warming effects on in vitro dry matter digestibility (IVDMD) and tissue [N] were detected only in certain years, varied from negative to positive, and were relatively minor. In contrast, eCO2 substantially reduced IVDMD (2 most abundant grasses) and [N] (all 3 dominant grass species) in most years, except the two wettest years. Furthermore, eCO2 reduced IVDMD and [N] independent of warming effects. Reduced IVDMD with eCO2 was related both to reduced [N] and increased acid detergent fiber (ADF) content of grass tissues. For the 6 most abundant forage species (representing 96% of total forage production), combined warming+eCO2 increased forage production by 38% and reduced forage [N] by 13% relative to ambient climate. Although the absolute magnitude of the decline in IVDMD and [N] due to combined warming+eCO2 may seem small (e.g. from 63.3 to 61.1% IVDMD and 1.25 to 1.04% [N] for Pascopyrum smithii), such shifts could have substantial consequences for the rate at which ruminants gain weight during the primary growing season in the largest remaining rangeland ecosystem in North America. With forage production increases, declining forage quality could potentially be mitigated by adaptively increasing stocking rates, and through management such as prescribed burning, fertilization at low rates, and legume interseeding to enhance forage quality.
创建时间:
2017-12-18
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4098个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

SWaT Dataset

SWaT Dataset是一个用于工业控制系统(ICS)安全研究的数据集,包含了模拟的网络攻击和正常操作的数据。该数据集由新加坡科技设计大学(Singapore University of Technology and Design)发布,旨在帮助研究人员开发和测试用于检测工业控制系统中网络攻击的算法和模型。

itrust.sutd.edu.sg 收录

Project Gutenberg

Project Gutenberg是一个提供免费电子书的数据集,包含超过60,000本免费电子书,涵盖了文学、历史、科学等多个领域。这些电子书主要以公共领域作品为主,用户可以自由下载和使用。

www.gutenberg.org 收录

中国高考录取分数线数据

  高考录取分数线,是指普通高等学校招生全国统一考试录取分数线。该分数线,每年高考结束后,由省级教育招生主管部门统计后公布。高考录取分数线分为本科线和专科线。全国各个地方的录取线分科类、分批次确定,科类一般分为文科类、理科类、音乐类(文、理)、美术类(文、理)、体育类等,每一科类又各分为提前批、第一批、第二批等等。  CnOpenData推出中国高考录取分数线数据,从批次、学校、专业等三方面汇总高考录取情况,涵盖生源地、学校所在地、年份、分类、批次、分科、分数线、学校、专业、录取人数、最高/低分等字段,为相关研究提供优质的数据资源。

CnOpenData 收录

AQA-7

AQA-7 是一个用于动作质量评估(AQA)的统一基准数据集,旨在通过整合多个领域的数据集来标准化评估方法。该数据集包含视频、骨骼数据和多模态输入,涵盖了体育分析、技能评估和医疗护理等多个应用领域。数据集的创建过程通过系统分析现有文献和实验协议,确保了评估的准确性和计算效率。AQA-7 的应用领域广泛,旨在解决动作质量评估中的偏差问题,提供客观的自动化评估,特别是在体育评分、技能评估和康复训练中具有重要意义。

arXiv 收录

VoxBox

VoxBox是一个大规模语音语料库,由多样化的开源数据集构建而成,用于训练文本到语音(TTS)系统。

github 收录