Spatio-TEmporal Dynamics of Forest Response to ENSO Drought (STEED)

森林对 ENSO 干旱响应的时空动态 (STEED)

• 批准号: NE/P004806/1
• 负责人: Mark Cutler
• 金额: $ 32.5万
• 依托单位: University of Dundee
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FP004806%2F1
• 关键词: Spatio; TEmporal; Dynamics; Forest; Response

Globally, almost half of all remaining tropical forest is allocated for timber production, illustrating the enormous economic asset that these forests represent to many nations. Additionally, these forests provide important societal and ecosystem services, from being sources of food through to climate change mitigation and generating income from carbon offset schemes. Compared to undisturbed forests, much less is known about previously logged and degraded forests that are regenerating. Critically, with increasingly smaller areas of undisturbed forest remaining, the economic and societal importance of disturbed forests has become greater in recent years. However, the resilience of these forests i.e. their capacity to respond to short-term perturbations (e.g. ENSO-induced drought) by resisting damage and recovering quickly, is poorly understood. If we are to manage tropical forests, both in terms of their initial exploitation and subsequent rehabilitation, we need to better understand how these systems respond to periodic drought at local to regional scales. Only then can we develop policies and practice that explicitly take into account the impacts of drought and protect the economic and societal benefits derived from these fragile ecosystems.To provide the evidence from which policy makers and practitioners can better plan forest management strategies we will examine the impact of the current ENSO drought on logged and degraded forests in Borneo, SE Asia, using a combination of ground-based and satellite remote sensing methods. In the field we will examine the response of trees to drought across a disturbance gradient, making use of a network of forest inventory plots that were established in the mid-1990s at the time of the last major ENSO drought to affect the region. In 2014 these plots were revisited as part of a long-term study into post-logging recovery of disturbed forests and as such represent a unique natural laboratory for comparing ENSO-induced changes in forest structure, composition and ecosystem functioning across a land-use gradient and addressing the interactions of logging disturbance and drought. We will revisit 25 plots at least four times during the 18 month project. At each plot we will measure a variety of leaf traits, canopy structure and tree mortality. This will be done by a joint team of UK and Malaysian research assistants who will harvest leaves and analyse leaf chemical properties in facilities at the Universiti of Malaysia.Additionally we will collect spectral reflectance measurements from the leaves. This will allow us to scale up our field observations to use multispectral satellite images to map forest response to the current drought across wider regions. In particular, we will make use of the new Sentinel-2 earth observing satellite to generate region-wide maps of current drought impact, whilst also producing a 20 year time-series drought index from NOAA AVHRR imagery. The latter will provide evidence of the temporal response of the forest to drought in comparison with non-drought conditions, whilst the former will allow us to map the spatial coherence of forest response, determining whether prior disturbance or other factors affect the resilience of forests to drought events. Finally, we will track changes in canopy structure and composition through observations from UAV-mounted sensors, from which we will examine the dynamics of liana/tree composition, which appear to change during drought conditions.With our project partners, the South East Asian Rainforest Research Programme and Permian Global, we will engage with a network of actors who are responsible for forest management across the SE Asia region. We will do this through dissemination activities including a workshop in Malaysia, where will present evidence of the impact of the current ENSO on SE Asian forests and provide a forum for discussion on how best to adapt forest management policy and practice to future ENSO events.

在全球范围内，所有剩余的热带森林中几乎有一半被分配用于木材生产，这表明这些森林对许多国家来说是巨大的经济资产。此外，这些森林提供重要的社会和生态系统服务，从食物来源到减缓气候变化和从碳抵消计划中产生收入。与未受干扰的森林相比，人们对以前砍伐和退化的森林正在再生的了解要少得多。重要的是，随着未受干扰的森林面积越来越小，近年来受干扰森林的经济和社会重要性变得越来越大。然而，人们对这些森林的复原力，即它们通过抵抗损害和迅速恢复来应对短期扰动（例如厄尔尼诺/南方涛动引起的干旱）的能力，知之甚少。如果我们要管理热带森林，无论是在最初的开发还是随后的恢复方面，我们都需要更好地了解这些系统如何在地方到区域范围内应对周期性干旱。只有这样，我们才能制定明确考虑干旱影响的政策和实践，保护这些脆弱生态系统带来的经济和社会效益。为了提供决策者和实践者更好地规划森林管理战略的证据，我们将研究当前ENSO干旱对东南亚婆罗洲砍伐和退化森林的影响，利用地面和卫星遥感方法相结合。在实地，我们将研究树木对干旱的反应，在干扰梯度，利用森林资源清查地块，在上个世纪90年代中期建立的网络的时候，最后一次重大的厄尔尼诺/南方涛动干旱影响该地区。2014年，作为对受干扰森林伐木后恢复的长期研究的一部分，对这些地块进行了重新考察，因此，这些地块是一个独特的天然实验室，可用于比较厄尔尼诺/南方涛动引起的森林结构、组成和生态系统功能在土地利用梯度上的变化，并探讨伐木干扰与干旱的相互作用。在18个月的项目中，我们将重新访问25个地块至少四次。在每个地块，我们将测量各种叶片性状，冠层结构和树木死亡率。这将由英国和马来西亚的研究助理组成的联合团队完成，他们将在马来西亚大学的设施中收获叶子并分析叶子的化学特性。此外，我们将收集叶子的光谱反射率测量值。这将使我们能够扩大我们的实地观察，使用多光谱卫星图像来绘制更广泛地区的森林对当前干旱的反应。特别是，我们将利用新的哨兵2号地球观测卫星生成当前干旱影响的区域范围地图，同时还将根据NOAA AVHRR图像生成20年时间序列干旱指数。后者将提供森林对干旱的时间响应与非干旱条件相比的证据，而前者将使我们能够绘制森林响应的空间一致性，确定先前的干扰或其他因素是否影响森林对干旱事件的恢复力。最后，我们将通过无人机传感器的观测来跟踪树冠结构和组成的变化，并通过这些观测来研究藤本植物/树木组成的动态，这些组成在干旱条件下似乎会发生变化。我们将与我们的项目合作伙伴东南亚雨林研究计划和Permian Global一起，与负责东南亚地区森林管理的参与者网络进行合作。我们将通过传播活动来做到这一点，包括在马来西亚举办一个讲习班，提供当前ENSO对东南亚森林影响的证据，并提供一个论坛，讨论如何最好地使森林管理政策和做法适应未来的ENSO事件。

项目成果

Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission

• DOI: 10.1016/j.rse.2021.112845
• 发表时间: 2022-01-07
• 期刊: REMOTE SENSING OF ENVIRONMENT
• 影响因子: 13.5
• 作者: Duncanson, Laura;Kellner, James R.;Zgraggen, Carlo
• 通讯作者: Zgraggen, Carlo

Three decades of post-logging tree community recovery in naturally regenerating and actively restored dipterocarp forest in Borneo

• DOI: 10.1016/j.foreco.2021.119036
• 发表时间: 2021-02-26
• 期刊: FOREST ECOLOGY AND MANAGEMENT
• 影响因子: 3.7
• 作者: Hayward, Robin M.;Banin, Lindsay F.;Dent, Daisy H.
• 通讯作者: Dent, Daisy H.

Aboveground biomass estimation in tropical forests at single tree level with ALS data

利用 ALS 数据估算热带森林单树水平的地上生物量

• DOI: 10.1109/igarss.2016.7730390
• 发表时间: 2016
• 作者: Dalponte M

Detection of Spatial and Temporal Patterns of Liana Infestation Using Satellite-Derived Imagery

• DOI: 10.3390/rs13142774
• 发表时间: 2021-07
• 期刊: Remote. Sens.
• 作者: Chris J. Chandler;G. V. D. Heijden;D. Boyd;G. Foody

Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data

• DOI: 10.1016/j.rse.2017.03.017
• 发表时间: 2017-06-01
• 期刊: REMOTE SENSING OF ENVIRONMENT
• 影响因子: 13.5
• 作者: Coomes, David A.;Dalponte, Michele;Qie, Lan
• 通讯作者: Qie, Lan