ArticlePDF Available

Regenerate natural forests to store carbon

Authors:
1
Restore natural forests to sequester carbon
Plans to triple the area of plantations under the guise of ‘forest restoration
will not meet 1.5 degree climate goals, argue Simon L. Lewis, Charlotte E.
5
Wheeler and colleagues – new natural forests can.
Keeping global warming below 1.5°C to avoid dangerous climate change1 requires extreme
cuts to emissions and removing vast amounts of carbon dioxide out of the atmosphere. The
IPCC suggest that around 730 billion tonnes of CO2 (200 Pg C) must be extracted by the end
10
of this century2 --- equivalent to all the CO2 emitted by the USA, UK, Germany and China
since the industrial revolution.
No-one knows how to capture that much CO2. But forests must play a role. Locking up carbon
in ecosystems is proven, safe and often affordable3. Increasing tree cover also offers many
15
more benefits, from protecting biodiversity to managing water and generating jobs.
The IPCC suggests that increasing the total area of the world’s forests, woodlands and woody
savannas by 9% by 2030 could sequester one quarter of the necessary atmospheric carbon on
land to comply with 1.5°C pathways2. In practice this means adding new forest totalling about
20
350 million hectares (Mha) --- that’s an area roughly the size of India2.
Despite the enormous areas involved policymakers are sowing the seeds. For example, in 2011
the Bonn Challenge, which aims to restore the required area of forest by 2030, was launched
by the German government and the International Union for Conservation of Nature4. Under
25
this initiative and others, 43 countries, including Brazil, Indian and China, have already
committed to restore nearly 300 Mha of degraded land into forest (see Table S1). That’s
encouraging.
2
But will this policy intervention work? Here we show that it will not, under current plans.
30
Compiling country-level data shows that almost half of the pledged area is set to become
plantations of commercial trees (Table S1). While they can support local economies,
plantations are poor at storing carbon in comparison to natural forests. The regular tree harvests
and clearing the land to replant it means that the carbon stored on the land is periodically
released back to atmosphere. By contrast, naturally regenerating lands sequester carbon for
35
decades as they revert back to their carbon-rich intact state. To succeed in stemming global
warming means restoration programs must allow all these degraded lands to return back into
natural forests and protect them.
To maximise the contribution of forests to limiting warming to 1.5°C deforestation needs to
40
stop. In addition, while recognising the competing pressures to deliver food, fuel, fodder and
fibre, land carbon stocks must also increase. We call on the restoration community, forestry
experts, and policymakers, to prioritize the regeneration of natural forests for sequestering
carbon, over all other types. This shift of focus will entail tightening the definition of ‘forest
restoration’, reporting project plans and their outcomes transparently, and clearly stating the
45
trade-offs between the different ecosystem services and income streams that alternative land
uses provide.
Misdirected efforts
50
To combat climate change, the most effective place to plant trees is in the tropics and sub-
tropics, and this is where the majority of the restoration commitments are found. Trees grow
(and thus take up carbon) quickly there and land is relatively cheap and more readily available5
(Figure 1). Indeed, by merely protecting tropical land from fire and other direct human
disturbances, trees return and new forests flourish. Carbon stocks can rapidly accumulate under
55
these conditions of natural forest regeneration, reaching levels seen in mature forest in just 70
years6. Establishing new tropical forests also has little effect on the albedo (reflectivity) of the
land surface, unlike at high latitudes where trees obscure snow that reflects solar energy and
helps to cool the planet. In income-poor regions well-managed forests can also help to alleviate
poverty as well as conserve biodiversity, supporting the United Nations Sustainable
60
Development Goals.
3
So far, just over half (24) of the countries in the Bonn Challenge and other schemes have
published detailed restoration plans, which cover two thirds of the pledged area (Table S1).
Nations are following three main approaches: leaving degraded and abandoned agricultural
65
land to regenerate to natural forest, largely allowing plant succession to proceed on its own,
although some areas are planted with native species to accelerate recovery rates; converting
marginal agricultural lands into plantations of valuable trees like Eucalyptus (for paper) or
Hevea braziliensis (for rubber); and fostering agroforestry, the growing of agricultural crops
and useful trees together.
70
Natural regeneration is the cheapest and technically the easiest option. One third (34%) of the
land allocated is to be managed in this way. With legislation and incentives, such as those
pioneered in Costa Rica, managing land for trees to re-establish can allow forest cover to
rapidly increase. Plantations are the most popular restoration plan, covering 45% of
75
commitments. Thus vast areas are to be planted as monocultures of trees as profitable
enterprises. Brazil, for example, has pledged 19 Mha of wood, fibre, and other plantations
under a variety of recent announcements.
Agroforestry accounts for the rest of the plans (21%). This is the practice of growing useful
80
trees and crops together that is widely used by subsistence agriculturalists, but is rarely seen at
the large-scale. The focal crops benefit from trees, such as coffee grown under the shade of
larger trees, or a maize crop interspersed with lines of leguminous trees that provide nitrogen
inputs. The trees themselves are also useful, supplying fuel, timber, fruit, or nuts.
85
Hence, looking at the detail of global forest restoration plans reveals that two-thirds of the area
is slated to grow crops of some form. The preponderance of plantations raises serious concerns.
First, plantations are poorer than natural forests at storing carbon in the long run. Initially, the
land is cleared, releasing carbon to the atmosphere. Then, fast growing trees such as Eucalyptus
90
and Acacia take up carbon rapidly (at up to 5 Mg C ha-1 yr-1). But after they are harvested and
the land cleared again for re-planting, typically every 10-20 years, the carbon is released again
to the atmosphere as the plantation waste and wood products (mostly paper and wood-chip
boards) decompose. Thus, on average, plantations hold little more carbon than the degraded
land that was cleared to plant them. By contrast, restoration natural forest means carbon
95
accumulates for decades6. It might be possible to increase the amount of carbon stored on
4
plantation lands, by harvesting less often, using different species, or converting timber into
very long-lived products3, but this will likely reduce profitability. Little research has been done
on increasing carbon storage in plantations; more is needed.
100
Second, dramatically increasing the area of plantations may undercut their profitability and
thus the reason nations are prioritising them in the first place. Large countries like Brazil,
China, Indonesia, Nigeria and the Democratic Republic of Congo are where most of the new
plantations are planned (Table S1). If all countries followed suit with the average 45% of
restoration areas given to plantations, restoration plans add 157 Mha of new monocultures,
105
meaning the world’s tropical and sub-tropical plantation estate would triple to 327 Mha --- a
major shift in global land use7. Prices of woodchip and paper products would likely fall. But
without a recognition that such a change is envisaged there’s been no research on the potential
economic impacts of this major shift in forestry policy7.
110
Third, policy makers are interpreting forest restoration in ways that are contrary to what most
people think of as ‘restoring a forest’. Few think planting a monoculture of Eucalyptus trees
for regular harvest by the paper industry is forest restoration. By exploiting broad definitions
and confused terminology policy-makers and their advisors are misleading the public. Given
that plantations typically meet the UN Food and Agriculture Organisation definition of a forest
115
(greater than 0.5 ha in area, trees at least 5m in height and more than 10% canopy cover7), then
planting monocultures is technically ‘forest restoration’. Yet, the expected climate change
mitigation and biodiversity protection is missing. Plantations are an important land use, but
they should not be classified as ‘forest restoration’. The definition of forest restoration urgently
needs an overhaul to exclude monoculture plantations.
120
Finally, reports on restoration to new natural forest often mix up the process (regeneration to
natural forest) with the resulting land-type (natural forest)8. Land may be labelled as natural
forest when it is far from mature as regeneration processes are still occurring. Meanwhile
climate benefit calculations usually assume that this land becomes forest and remains as this
125
new land-type forever. But there is no guarantee that these forests will be protected far into the
future, particularly as demand for land grows. Schemes should protect these new forests to
ensure that the advertised climate benefits can be realized. Overall, increased clarity on the
short- and long-term benefits that different restoration schemes provide is essential.
130
5
A better strategy
Natural forest restoration is clearly the most effective approach for storing carbon. But how
much better is it than the alternatives? We use the 43 countries’ pledges to calculate carbon
135
uptake under a series of restoration scenarios to illustrate how clashing priorities are sabotaging
carbon storage potential (see TEXT BOX/GRAPHIC and Supp Info).
In short, we find that if the entire 350 Mha is given over to natural forests they would sequester
42 Pg C by 2100 (Figure 1). This is some 38 times as much carbon as the 1.1 Pg C sequestered
140
by giving the same area exclusively to plantations, and 6 times more than a switch to only
agroforestry (6.8 Pg C). Natural forests under current schemes can get us most of the way to
the 57 Pg C median estimate for forest uptake used in IPCC 1.5°C compliant pathways (our
figure is lower due to more optimistic assessments of tree growth in some model runs2). Any
other approach will fall far short of this.
145
Maintaining the current reported mix of natural forest restoration, plantations and agroforestry
sequesters a third of the carbon (16 Pg C) of the natural forest only scenario, largely because
plantations are ineffective at storing carbon (Figure 1). And even this may be optimistic, as it
assumes all new forests are protected. And climate policy itself may threaten them.
150
Central to the 1.5°C pathways is another technology to remove carbon from the atmosphere:
Bioenergy with Carbon Capture and Storage, known as BECCS, which is expected to remove
130 Pg C by 2100. Assuming the technology is rolled out, by mid-century it requires a further
300-800 Mha of land to grow crops for biofuel. Eucalyptus, maize (Zea mays) and switchgrass
155
(Panicum virgatum) would be burnt in power stations and the carbon emissions captured and
stored underground2. This huge new demand for land could displace restored forests.
Converting them to bioenergy crops after 2050 reduces sequestration to a paltry 3 Pg C by
2100, as high-storage forest that is still increasing in carbon stocks is replaced by annual crops
or plantations (and would delay by decades the point in time when BECCS becomes carbon
160
negative9).
There are, of course, uncertainties at every stage of our calculations, from where exactly the
restoration will take place, to the species planted and their carbon sequestration rates. We rely
6
on median literature estimates and the latest carbon stock maps, with our results being relatively
165
conservative compared to median IPCC figures. However, while we include future CO2
fertilization and climate impacts on future forests these are inherently uncertain and could be
better assessed using Earth System Model runs.
Critics will counter that it is unrealistic to expect all areas slated for restoration to become
170
natural forests that are protected in perpetuity. Certainly, tree-based agriculture and plantations
are essential parts of many landscapes. What is required is an extension of the restoration
agenda, not a retreat. Reaching 350 Mha of new natural forest is possible as part of a much
larger total area that would include plantations and agroforestry.
175
Clearly, pressures on land will influence the areas available for re-establishing forests.
Landscapes need to provide food, fuel, fodder and fibre as well as a multitude of ecosystem
services that human societies depend upon. Research effort is needed to establish optimum
responses to these pressures10. However, these pressures are not only in one direction: there is
potential for rising agricultural productivity to spare land, as well as shifts in consumer habits,
180
such as towards healthier low meat and dairy diets. And synergies exist: using habitat
restoration to connect existing forests would allow species to move as the climate changes,
lessening future waves of extinction.
185
What next
Even in the absence of new land, today’s forest restoration schemes should increase their
carbon sequestration potential in four ways. First and foremost countries should increase the
190
proportion of land that is being regenerated to natural forest: each additional 8.6 Mha, an area
the size of the island of Ireland, sequesters another 1 Pg C by 2100.
Second, prioritize natural regeneration in the humid tropics, such as Amazonia, Borneo or the
Congo Basin, which all support very high biomass forest compared to drier regions of the
195
tropics. International payments to recreate and maintain new forests from either carbon
sequestration, climate adaptation, or conservation funds could mobilize further restoration
action in these regions.
7
Third, restoration efforts must build on existing carbon stocks. Target degraded forests and
200
partly wooded areas for natural regeneration; focus the plantations and agroforestry systems on
treeless regions, and where possible select agroforestry over plantations as they store more
carbon.
Fourth, once natural forest is restored, protect it. This could be via the expansion of protected
205
areas; giving title to indigenous peoples who tend to protect forested land; changing the legal
definition of the newly forested land so it cannot be converted to agriculture, or encouraging
commodities companies with zero-deforestation commitments to extend these to not cutting
restored natural forests.
210
The ambitious global restoration agenda is good news. And this month’s declaration that the
2020s will be the UN Decade on Ecosystem Restoration affirms its importance. But, these
efforts will only remove sufficient carbon from the atmosphere to contribute to avoiding
dangerous climate change if forest restoration really means forest restoration and schemes
permanently re-establish largely natural, largely intact forest.
215
Simon. L. Lewis is professor of global change science in the Department of Geography, University College
London and the School of Geography, University of Leeds. Charlotte. E. Wheeler, is a forest researcher at the
School of GeoSciences University of Edinburgh. Edward T.A. Mitchard is Senior Lecturer in Forest Change
Mappingat the School of GeoSciences, University of Edinburgh. Alexander Koch is a recently completed a PhD
220
in the Department of Geography, University College London on forests and the global carbon cycle. Lewis and
Wheeler contributed equally to this work. Email: c.wheeler@ed.ac.uk.
TEXT BOX <this could go with a graphic showing the relevant data/nos]
225
CARBON CHALLENGE
Best way to restore forests
We looked at 4 ways the Bonn Challenge could be met (see Supp Info). First, today’s
commitments extend to 2100. Second, these extend to 2050, after which natural forest is
230
8
converted to plantations for biofuels. Third, the whole area (350 Mha) regenerates to natural
forest. And fourth, everything becomes plantations.
For 43 countries we took the area identified as having restoration potential under the Bonn
Challenge5 (Figure 1). We estimated the pre-existing carbon on that land from published maps.
235
We then used published estimates of the carbon sequestration in plantations, restored natural
forests and agroforestry systems based on species appropriate to each country, then subtracted
the initial carbon stocks, to estimate the change between 2015 and 2100 for each hectare, and
summed these for each country (Table S1).
240
We find, on average, that natural forests are better than agroforestry and plantations at storing
carbon, sequestering 0.120, 0.019 and 0.003 Pg C per Mha by 2100, respectively.
245
250
Figure 1. Areas of potential restoration5 (top); Eighteen year-old naturally regenerating forest
in Kibale, Uganda (bottom left, photo: S. Lewis); Live biomass carbon stock increase (above-
and below-ground) over the Bonn Challenge Area of 350 million hectares following four
restoration pathways: Natural Forest Only (use natural regeneration only to restore forests over
entire area); Mixed Restoration, With Protection (using natural regeneration, plantations and
255
agroforestry areas using nationally published plans, plus long-term protection for naturally
regenerated forest); Mixed Restoration, No Protection (nationally published plans, but
naturally regenerated forest is converted to bioenergy after 2050); and Plantation Only
(regeneration area is converted to plantations), showing median and 95% confidence intervals
(bottom right).
260
1
1 Lewis, S. L. Nature, 532: 283 (2016).
2 Intergovernmental Panel on Climate Change, Special Report on Global Warming
of 1.5 °C (IPCC, 2018).
3 Griscom, B. W. et al. 114: 11645-11650 (2016).
265
4 www.bonnchallenge.org.
5 Minnemeyer, S., et al. Bonn Challenge: A World of Opportunity (World Resource
Institute, 2011).
6 Poorter L. et al. Nature 530: 211-214 (2016).
7 Food and Agriculture Organisation, Global Forest Resources Assessment 2015
270
(FAO, Rome, 2015).
8 Chazdon, R. et al. Biotropica, 48: 716-730 (2016).
9 Harper, A. B. et al. Nature Comms 9, Art. No. 2938 (2018).
10 Gu B. et al. Nature 566: 31-33 (2019).
275
... Forests are essential components of Earth's ecosystems, playing crucial roles in carbon cycling, biodiversity conservation, and climate regulation. Globally, forests act as significant carbon sinks, absorbing substantial amounts of CO 2 from the atmosphere, thereby mitigating climate change impacts [1]. Additionally, they provide habitats for countless species, helping to maintain biodiversity and ecological balance [2]. ...
Article
Full-text available
Understanding the factors influencing individual tree mortality is essential for sustainable forest management, particularly for Prince Rupprech’s larch (Larix gmelinii var. Principis-rupprechtii) in North China’s natural forests. This study focused on 20 sample plots (20 × 20 m each) established in Shanxi Province, North China. This study compared three individual tree mortality models—Generalized Linear Model (GLM), Linear Discriminant Analysis (LDA), and Bayesian Generalized Linear Model (Bayesian GLM)—finding that both GLM and Bayesian GLM achieved approximately 0.87 validation accuracy on the test dataset. Due to its simplicity, GLM was selected as the final model. Building on the GLM model, six binning methods were applied to categorize diameter at breast height (DBH): equal frequency binning, equal width binning, cluster-based binning, quantile binning, Chi-square binning, and decision tree binning. Among these, the decision tree binning method achieved the highest performance, with an accuracy of 90.12% and an F1 score of 90.06%, indicating its effectiveness in capturing size-dependent mortality patterns. This approach provides valuable insights into factors affecting mortality and offers practical guidance for managing Larix gmelinii var. Principis-rupprechtii forests in temperate regions.
... Maps have been used to prioritise restoration areas (e.g., Laestadius et al., 2011;Bastin et al., 2019;Brancalion et al., 2019;Strassburg et al., 2020) but have drawn significant criticism because of their implications for both local people and local biodiversity (e.g., Lewis et al., 2019;Elias et al., 2021, Schultz et al., 2022. At the same time, more detailed, local maps may be powerful tools for identifying objectives, priority areas and monitoring progress. ...
... [26] [27] [28] [22] [23] [29] 等人为干预而暂时闲置但预计将恢复为森林的区域通常被定义为森林,此时森林覆盖度 在短期内不会发生显著变化,但基于土地覆被视角该地区则不被定义为森林。而当耕地 被转化为林地时,土地利用发生显著变化,土地覆盖也发生明显变化。因此,由于森林 定义不同,基于土地利用和土地覆被视角的森林判别存在不一致性,应根据具体目的、 问题或所评估的生态系统服务来定义森林 [24] 。 整体而言,森林定义准则分为定性和定量 2 类。已有森林定义中主要包含以下 4 个要 素 (图 1) :① 最小郁闭度;② 最小区域面积;③ 最小区域宽度;④ 最小树高 [15,21,25] [30] 。依据 生长方式可以将森林分为天然林和人工 林 (图 2) 。天然林包括自然形成与人工 促进天然更新形成的森林 [31] 。陆地生态系统中天然林在结构复杂性、群落稳定性、生物 量、生物多样性和生态功能方面均具有重要作用 [32] ;其环境适应力强,森林结构稳定, 但生长时间较长,可以分为原生林和次生林。根据 FAO 定义,原生林是原生物种自然再 生的森林,没有明显的人类活动,生长过程没有受到重大干扰 [33] ,森林结构和防护功能良 好,具有较强的自我恢复能力和较高的经济价值 [34][35] 。次生林是原始森林受到严重干扰后 通过自然更新形成的森林 [18] ,在结构、组成和功能上可迅速演化 [36] 。人工林是人为采用 播种或植苗方式营造的森林 [37] ,主要由一到两个引进或本地物种集约管理林地组成,大 多具有均匀年龄等级和规则间距 [38] 。多数情况下,森林评估未区分天然林和人工林。如 果天然林被清除,代之以人工林,就不会报告森林覆盖的净损失 [39] 。但已有研究指出, 天然林的生态功能和生物多样性优于人工林 [40] 。因此,有必要准确区分人工林和天然林。 年龄也是区分森林资源的重要林木特征 (图 2) 。当前成熟林和过熟林是可采伐利用 的资源。成熟林是年净增长率达到峰值的森林,其树龄一般 80~200 a,林龄、树干直径 和成熟时林分结构因树木覆盖类型和立地条件而异 [41] ;过熟林是一种古老又复杂的森林 群落,树龄通常> 200 a,其特征是混合了不同物种、年龄和树干大小的树木 [42][43] 。过 熟林处于森林发育的后期阶段,特征与其他阶段的森林存在明显差异,主要包括树的大 小、大量死亡木本物质的堆积、树冠层数、物种组成和生态系统功能 [44] 。此外,森林还 可以被分为幼龄林、中龄林和近熟林 [45] 。与年轻林和成熟林相比,过熟林表现出更大的 冠径、大树密度、树冠间隙、树冠垂直分化及更多枯枝 [46] 。伴随土地利用变化,全球森 林正从以过熟林为主改变为以年轻森林和成熟林为主。成熟林和过熟林是评价人类对森 林生态系统影响的重要参考依据,是观测演替过程、干扰事件和树木间相互作用,了解 森林发展过程的重要参考。长期以来,研 究成熟林和过熟林被认为是开发基于自然 干扰的造林系统基础,这些系统能够模拟 自然过程,实现社会经济目标,同时保育 多重生态系统服务 [47] 。 此外,基于郁闭度可以将森林分为疏 林和密林 (图 2) 。疏林指郁闭度为 10%3 0%的森林 [48] [50] [53,[55][56] 。 Sentinel-2 卫星是"全球环境与安全监测"计划的第二颗卫星,于 2015 年 6 月 23 日发射; 该卫星携带一枚多光谱成像仪,可覆盖 13 个光谱波段,幅宽达 290 km,空间分辨率 10 m、重访周期 10 d,对全球土地覆盖变化及森林观测具有重要意义。基于 Sentinel-2 数据 和深度学习模型,ESRI 开发了全球 10 m 森林数据集 [7] 。 相较而言,光学遥感受天气影响较大,制约了植被监测的时空精度。微波遥感对云 雾和雨雪具有穿透性,且对光合生物量敏感,适合大范围植被监测 [57] [58] 。FNF (Forest and non-forest maps) 数 据集由 25 m 分辨率的 PALSAR 的 L 波段合成孔径雷达数据生成,时间跨度为 2007-2010 年,为记录森林变化范围提供了新的全球资源 [9] 。哨兵 1 号 (Sentinel-1) 卫星是欧洲航天 局哥白尼计划 (Global Monitoring for Environment and Security, GMES) 中的地球观测卫 星,由两颗卫星组成,载有 C 波段合成孔径雷达,被广泛应用于森林监测 [49] Abstract: Forest definitions and remote sensing datasets provide a conceptual basis for monitoring forest change. In this study, we present an overview of forest definitions from the views of land use and land cover, introduce the forest categorization from three aspects: growth mode, forest age and canopy density, and review the evolution of forest remote sensing dataset from single sensor to optical and microwave remote sensing. ...
Article
Full-text available
Forest definitions and remote sensing datasets provide a conceptual basis for monitoring forest change. In this study, we present an overview of forest definitions from the views of land use and land cover, introduce the forest categorization from three aspects: growth mode, forest age and canopy density, and review the evolution of forest remote sensing dataset from single sensor to optical and microwave remote sensing. Additionally, the differences in forest definition between various remote sensing data sets were compared from three perspectives: the threshold for forest elements, the level of classification and the spatial resolution. The shortcomings in product accuracy verification were summarized using data consistency, validation samples, and regional accuracy differences. In the future, the forest definition should be further coordinated based on the forest definition framework of "perspective- factor- threshold", and the area estimation bias caused by the different factor thresholds in the forest definition should be minimized. Meanwhile, deep learning and multisource remote sensing data should be applied to produce accurate forest remote sensing data sets, especially for identifying various forest species. Finally, platforms for forest remote sensing datasets sharing need to be built to clarify the forest definition, spatio- temporal resolution, and data accuracy of the datasets.
Article
Full-text available
The TCP gene family encodes plant transcription factors crucial for regulating growth and development. While TCP genes have been identified in various species, they have not been studied in Phoebe bournei (Hemsl.). This study identified 29 TCP genes in the P. bournei genome, categorizing them into Class I (PCF) and Class II (CYC/TB1 and CIN). We conducted analyses on the PbTCP gene at both the protein level (physicochemical properties) and the gene sequence level (subcellular localization, chromosomal distribution, phylogenetic relationships, conserved motifs, and gene structure). Most P. bournei TCP genes are localized in the nucleus, except PbTCP9 in the mitochondria and PbTCP8 in both the chloroplast and nucleus. Chromosomal mapping showed 29 TCP genes unevenly distributed across 10 chromosomes, except chromosome 8 and 9. We also analyzed the promoter cis-regulatory elements, which are mainly involved in plant growth and development and hormone responses. Notably, most PbTCP transcription factors respond highly to light. Further analysis revealed three subfamily genes expressed in five P. bournei tissues: leaves, root bark, root xylem, stem xylem, and stem bark, with predominant PCF genes. Using qRT-PCR, we examined six representative genes—PbTCP16, PbTCP23, PbTCP7, PbTCP29, PbTCP14, and PbTCP15—under stress conditions such as high temperature, drought, light exposure, and dark. PbTCP14 and PbTCP15 showed significantly higher expression under heat, drought, light and dark stress. We hypothesize that TCP transcription factors play a key role in growth under varying light conditions, possibly mediated by auxin hormones. This work provides insights into the TCP gene family’s functional characteristics and stress resistance regulation in P. bournei.
Article
Full-text available
The machine learning-based k-nearest neighbors (kNN) algorithm is technically flexible in forest attribute mapping but the impact of selecting insufficient reference plots for modeling has not been intensively explored. Interactions of topographic and biological factors lead to a more complex distribution of forest attributes (high uncertainty) and increase challenges in deriving reliable (low bias) information over space. This study proposes a protocol applying a 4-way factorial experiment design to derive appropriate sampling schemes to address the uncertainty and bias issues in aboveground biomass (AGB) estimation using the kNN technique. A mixed forest in a subtropical region with a diverse environment and fluctuating AGB due to frequent wildfires, pine wilt disease, and farming activities was used to assess the effectiveness of the protocol. A total of 252 sampling schemes composed of the sampling methods, number of features (predictors), number of neighbors, and reference-target distance were used to generate the corresponding kNN models for AGB estimations. The model's performance was evaluated based on measured AGB by a tree-based IPCC-compliant method using a high-resolution canopy height model and orthoimage. Results showed that the sampling schemes carried out AGB estimation with significantly good performance, average error rates being from 13% to 241%. The best kNN model can effectively characterize biomass distribution by spectral, biophysical, and topographic features via the systematic sampling method when an appropriate number of neighbors (k = 30) located at a moderate reference-target distance (RTD = 900) is applied. Additional significant findings include (1) systematic sampling outperforms random and cluster sampling in a kNN model with a diverse combination of k and RTD, and (2) a model with a moderate k and RTD generally provides lower biased estimates. It is demonstrated that the protocol identifies appropriate kNN-AGB models while avoiding the impact of poor models on deriving reliable biomass maps, increasing the opportunity of recognizing and delineating low biomass productivity sites for precision management and benefiting forest improvement and biomass-associated biogeoscience study.
Chapter
This book takes a multidisciplinary perspective to analyze and discuss the various opportunities and challenges of restoring tree and forest cover to address regional and global environmental challenges that threaten human well-being and compromise sustainable development. It examines forest restoration commitments, policies and programs, and their planning and implementation at different scales and contexts, and how forest restoration helps to mitigate environmental, societal, and cultural challenges. The chapters explore the concept of forest restoration, how it can restitute forest ecosystem services, contribute to biodiversity conservation, and generate benefits and synergies, while recognizing the considerable costs, trade-offs, and variable feasibility of its implementation. The chapters review historic and contemporary forest restoration practice and governance, variations in approaches and implementation across the globe, and relevant technological advances. Using the insights from the ten topic-focused chapters, the book reflects on the possibility of sustainable and just approaches to meet the challenges that lie ahead to achieve ambitious international forest restoration targets and commitments.
Chapter
This book takes a multidisciplinary perspective to analyze and discuss the various opportunities and challenges of restoring tree and forest cover to address regional and global environmental challenges that threaten human well-being and compromise sustainable development. It examines forest restoration commitments, policies and programs, and their planning and implementation at different scales and contexts, and how forest restoration helps to mitigate environmental, societal, and cultural challenges. The chapters explore the concept of forest restoration, how it can restitute forest ecosystem services, contribute to biodiversity conservation, and generate benefits and synergies, while recognizing the considerable costs, trade-offs, and variable feasibility of its implementation. The chapters review historic and contemporary forest restoration practice and governance, variations in approaches and implementation across the globe, and relevant technological advances. Using the insights from the ten topic-focused chapters, the book reflects on the possibility of sustainable and just approaches to meet the challenges that lie ahead to achieve ambitious international forest restoration targets and commitments.
Chapter
There is an increased momentum in global efforts to expand tree planting through afforestation, reforestation, landscape restoration and agroforestry initiatives in response to climate change, biodiversity loss, land degradation, food and nutrition insecurity challenges. The success of these initiatives strongly depends on the availability and accessibility of planting materials of suitable tree species. Stakeholders’ efforts to contribute to planting initiatives are constrained by multidimensional factors limiting access to quality germplasm. Tree germplasm refers to all types of planting materials including seeds, seedlings, wildlings and clonal materials. This chapter reviews tree germplasm management and policy issues that are likely to affect planting initiatives in Africa. Tree germplasm quality and supply depend on documented importance which drives germplasm demand at local, national and regional levels. Supply of good quality germplasm is underpinned by scientific knowledge, decision support tools appropriately designed for end users, institutional capacity and policy frameworks. We review the role of both human and infrastructure capacity development for actors in the germplasm supply chain. We highlight the importance of germplasm conservation and the need for developing, upgrading and fostering quality assurance measures through certification to reduce proliferation of low-quality germplasm. The Community Agroforestry Tree Seed Bank model, an innovative and time-tested approach is proposed for improving and ensuring a decentralised and sustainable tree germplasm supply, empowering smallholder farmers as key players in sourcing and managing quality germplasm in a manner that is in tandem with national germplasm supply systems. We recommend strengthening regulations for quality assurance and providing incentives to stakeholders adhering to germplasm quality standards. We recommend increasing investment for an efficient supply of good quality tree germplasm at community, national and regional levels for a range of benefits that include improving food security, rural livelihoods, and addressing climate change and environmental degradation challenges.
Article
By endorsing a limit of 1.5 °C, the climate negotiations have effectively defined what society considers dangerous, says Simon L. Lewis.
  • S Minnemeyer
Minnemeyer, S., et al. Bonn Challenge: A World of Opportunity (World Resource Institute, 2011).
  • L Poorter
Poorter L. et al. Nature 530: 211-214 (2016).
  • R Chazdon
Chazdon, R. et al. Biotropica, 48: 716-730 (2016).
  • A B Harper
Harper, A. B. et al. Nature Comms 9, Art. No. 2938 (2018).