Terrestrial net primary production estimates for 0.5° grid cells from field observations—a contribution to global biogeochemical modeling

初级生产 环境科学 网格 生物群落 碳循环 比例(比率) 领域(数学) 生物地球化学循环 遥感 植被(病理学) 计算机科学 生态系统 生态学 数学 地图学 地理 医学 生物 病理 纯数学 几何学
作者
Daolan Zheng,Stephen D. Prince,R. Wright
出处
期刊:Global Change Biology [Wiley]
卷期号:9 (1): 46-64 被引量:104
标识
DOI:10.1046/j.1365-2486.2003.00534.x
摘要

Abstract Net Primary Production (NPP) is an important component of the carbon cycle and, among the pools and fluxes that make up the cycle, it is one of the steps that are most accessible to field measurement. While easier than some other steps to measure, direct measurement of NPP is tedious and not practical for large areas and so models are generally used to study the carbon cycle at a global scale. Nevertheless these models require field measurements of NPP for parameterization, calibration and validation. Most NPP data are for relatively small field plots that cannot represent the 0.5° × 0.5° grid cells that are commonly used in global scale models. Furthermore, technical difficulties generally restrict NPP measurements to aboveground parts and sometimes do not even include all components of aboveground NPP. Thus direct inter‐comparison between field data obtained in different studies or comparison of these results with coarse resolution model outputs can be misleading. We summarize and present a series of methods that were used by original authors to estimate NPP and how and what we have done to prepare a consistent data set of NPP for 0.5 °grid cells for a range of biomes from these studies. The methods used for estimation of NPP include: (i) aggregation of fine‐scale (plot or stand‐level) vegetation inventory data to larger grid cells, (ii) mapping of grid cells and area weighting of field NPP observations in each mapped class, (iii) direct correlation of extensive data sets of ground measurements with remotely sensed spectral vegetation indices, (iv) local modeling of NPP using key independent variables, for which maps are available at the scale of the grid cell, and (v) regression analysis to link productivity with controlling environmental variables. For a few grid cells whose NPP were obtained for multiple years, temporal analysis was conducted. The grid cells are grouped to the biome level and are compared with existing compilations of field NPP and the results of the Miami potential NPP model. Mean NPP was similar to the well‐known compilation of Whittaker and Likens, except for temperate evergreen needle‐leaved forest, woodland, and shrubland. The grid cell datasets are a contribution to the International Geosphere‐Biosphere Programme (IGBP) Data and Information System (DIS) Global Primary Production Data Initiative (GPPDI). The full dataset currently contains 3654 cells (including replicate measurements) developed from 15 studies representing NPP in croplands, sparse vegetation, shrub lands, grasslands, and forests worldwide. An edited subset consists of 2335 cells in which outliers were removed and all replicate measurements were averaged for each unique geographical location. Most of the data incorporated into GPPDI were wholly or partly developed by participants in the GPPDI, in addition to the present authors. These studies are gathered together here to provide a consistent account of the grid cell component of GPPDI and an analysis of the entire data set. The datasets have been deposited in an IGBP‐DIS GPPDI database ( http://daacl.esd.ornl.gov/npq/GPPDI/Combined_GPPDI_des.html ).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
昵称吧完成签到 ,获得积分10
1秒前
彭凯发布了新的文献求助10
2秒前
科研通AI5应助黄辉冯采纳,获得10
4秒前
大个应助猪八戒采纳,获得10
5秒前
Hello应助马薄函采纳,获得10
5秒前
专注刺猬发布了新的文献求助10
6秒前
乘风破浪发布了新的文献求助10
6秒前
河漫完成签到,获得积分10
8秒前
12秒前
13秒前
14秒前
14秒前
那儿发布了新的文献求助10
14秒前
YYYHHH发布了新的文献求助10
15秒前
15秒前
Lucas应助博修采纳,获得10
16秒前
17秒前
cccc发布了新的文献求助10
18秒前
18秒前
18秒前
田様应助年轻的仙人掌采纳,获得10
18秒前
马薄函发布了新的文献求助10
19秒前
黄辉冯发布了新的文献求助10
23秒前
23秒前
小花花应助YYYHHH采纳,获得10
24秒前
yuyu完成签到,获得积分10
24秒前
猪八戒发布了新的文献求助10
25秒前
英俊的铭应助吐司采纳,获得10
25秒前
ding应助LiuYing采纳,获得10
26秒前
LIU完成签到 ,获得积分10
28秒前
lc完成签到,获得积分10
29秒前
研友_VZG7GZ应助酷酷的店员采纳,获得10
29秒前
30秒前
Ava应助cccc采纳,获得10
30秒前
星星完成签到,获得积分20
31秒前
wanci应助111采纳,获得10
34秒前
35秒前
xzy998应助星星采纳,获得10
37秒前
39秒前
40秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Semantics for Latin: An Introduction 1099
Robot-supported joining of reinforcement textiles with one-sided sewing heads 780
水稻光合CO2浓缩机制的创建及其作用研究 500
Logical form: From GB to Minimalism 500
2025-2030年中国消毒剂行业市场分析及发展前景预测报告 500
镇江南郊八公洞林区鸟类生态位研究 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4165781
求助须知:如何正确求助?哪些是违规求助? 3701415
关于积分的说明 11685795
捐赠科研通 3390100
什么是DOI,文献DOI怎么找? 1859214
邀请新用户注册赠送积分活动 919574
科研通“疑难数据库(出版商)”最低求助积分说明 832228