亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Is new olive farming sustainable? A spatial comparison of productive and environmental performances between traditional and new olive orchards with the model OliveCan

橄榄树 橄榄油 农业 果园 地中海气候 环境科学 持续性 农林复合经营 修剪 生产力 农学 生态学 园艺 生物 宏观经济学 经济
作者
Hanene Mairech,Álvaro López‐Bernal,Marco Moriondo,Camilla Dibari,Luca Regni,Primo Proietti,Francisco J. Villalobos,Luca Testi
出处
期刊:Agricultural Systems [Elsevier BV]
卷期号:181: 102816-102816 被引量:53
标识
DOI:10.1016/j.agsy.2020.102816
摘要

Olive (Olea europaea L.) is a widely spread tree species in the Mediterranean. In the last decades, olive farming has known major management changes with high economic and environmental impacts. The fast track expansion of this modern olive farming in these recent years casts doubts on the sustainability of such important tree plantation across the Mediterranean. In this work, we performed a spatial modelling analysis to investigate the implications of climate variability and farming management on the productivity and environmental performances of olive orchards around the Mediterranean. Implementation of this research is based on the use of OliveCan; a process-based model able to illustrate responses of water and carbon balances to weather variables, soil characteristics and management techniques enabling the comprehension of olive orchard dynamics under heterogeneous conditions of climate and agricultural practices. Four main intensification levels were adopted to reflect the main olive grove types from traditional to new intensive plantations: low density LD (100 trees ha−1), medium density MD (200 trees ha−1), high density HD (400 trees ha−1) and super high density SHD (1650 trees ha−1). Managements tested were intensification, water supply (rainfed, deficit and full irrigated) and the fate of pruning residues (exported or left on the soil). Two cases studies in two of the main Mediterranean olive-growing regions with contrasting environmental conditions, Tuscany and Jaen regions, focused on mitigation alternative managements for carbon sequestration. Results showed that olive orchards responses in terms of yield and Net Ecosystem Productivity (NEP) vary along with climatic conditions. Water supply was the main driver with a production function that varies for different atmospheric demands. Application of deficit irrigation proved to boost water use efficiency. Besides, intensification from LD to SHD, presented the greatest improvements, 28–73% for yield and 50–100% for NEP. The C sequestration potential of olive orchards was confirmed. In fact, soil organic carbon (SOC) increased continuously over 400 years of simulation, reaching a state of equilibrium. Moreover, intensification and irrigation improved total carbon sequestration. Management of incorporating pruning residues in the soil increased SOC of 10.5 t C ha−1 for Tuscany and 10.8 t C ha−1 for Jaen. Findings of this research enabled the identification of the main drivers influencing the productive and environmental performance of olive groves in the different Mediterranean sub-climates. Impacts of management innovations on olive farming sustainability were also quantified which may help improve production systems for a more sustainable olive cultivation.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
2秒前
369ninja发布了新的文献求助10
5秒前
啦啦啦完成签到,获得积分10
5秒前
8秒前
啦啦啦发布了新的文献求助50
9秒前
sfwrbh发布了新的文献求助10
14秒前
sfwrbh完成签到,获得积分10
19秒前
Hello应助陈桂芳采纳,获得10
24秒前
29秒前
40秒前
orixero应助liuliu采纳,获得30
46秒前
霸气侧漏发布了新的文献求助10
1分钟前
霸气侧漏完成签到,获得积分10
1分钟前
ptn__z发布了新的文献求助10
1分钟前
369ninja发布了新的文献求助10
1分钟前
欢呼的不乐完成签到 ,获得积分10
1分钟前
ptn__z完成签到,获得积分10
2分钟前
2分钟前
liuliu发布了新的文献求助30
2分钟前
liuliu完成签到,获得积分10
2分钟前
合适乐巧完成签到 ,获得积分10
2分钟前
传奇3应助liuliu采纳,获得10
2分钟前
zhangchen123完成签到,获得积分10
3分钟前
Tingting完成签到 ,获得积分10
3分钟前
wangfaqing942完成签到 ,获得积分10
4分钟前
4分钟前
黑猫警长发布了新的文献求助10
4分钟前
黑猫警长完成签到,获得积分10
5分钟前
5分钟前
陈丹丹发布了新的文献求助10
5分钟前
qwq应助陈丹丹采纳,获得10
5分钟前
5分钟前
Chloeee_发布了新的文献求助10
5分钟前
柒tt发布了新的文献求助10
5分钟前
海外散修历飞雨完成签到 ,获得积分10
6分钟前
Bin_Liu发布了新的文献求助10
6分钟前
bobzhang2026完成签到,获得积分10
6分钟前
6分钟前
6分钟前
酷波er应助Su采纳,获得10
7分钟前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Introduction to Cosmetic Formulation and Technology, 2nd Edition 400
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
Programming for Chemical Engineers Using C, C++, and MATLAB 320
Birth of Twins After Genome Editing for HIV Resistance 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6684208
求助须知:如何正确求助?哪些是违规求助? 8429075
关于积分的说明 18012905
捐赠科研通 5905378
什么是DOI,文献DOI怎么找? 2982327
邀请新用户注册赠送积分活动 1958311
关于科研通互助平台的介绍 1893535