Volume 8, Issue 1
POLICY PERSPECTIVE
Open Access

Relative Contributions of the Logging, Fiber, Oil Palm, and Mining Industries to Forest Loss in Indonesia

Sinan A. Abood

Department of Environmental Systems Science, ETH Zürich, CHN G 73.2, Universitätstrasse 16, 8092 Zürich, Switzerland

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Janice Ser Huay Lee

Corresponding Author

Department of Environmental Systems Science, ETH Zürich, CHN G 73.2, Universitätstrasse 16, 8092 Zürich, Switzerland

Correspondence

Janice Ser Huay Lee, Department of Environmental Systems Science, ETH Zürich, CHN G 73.2, Universitätstrasse 16, 8092 Zürich, Switzerland. E‐mail: janice.lee@env.ethz.ch

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Zuzana Burivalova

Department of Environmental Systems Science, ETH Zürich, CHN G 73.2, Universitätstrasse 16, 8092 Zürich, Switzerland

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John Garcia‐Ulloa

Department of Environmental Systems Science, ETH Zürich, CHN G 73.2, Universitätstrasse 16, 8092 Zürich, Switzerland

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Lian Pin Koh

Department of Environmental Systems Science, ETH Zürich, CHN G 73.2, Universitätstrasse 16, 8092 Zürich, Switzerland

Woodrow Wilson School of Public and International Affairs, Princeton University, Robertson Hall, Princeton, NJ, 08544‐1013 USA

Environment Institute, and School of Earth and Environmental Sciences, University of Adelaide, Adelaide, SA, 5005 Australia

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First published: 03 April 2014
Citations: 147

Editor: Robin Naidoo

[The copyright line for this article was changed on February 18, 2015 after original online publication]

Abstract

Indonesia contributes significantly to deforestation in Southeast Asia. However, much uncertainty remains over the relative contributions of various forest‐exploiting sectors to forest losses in the country. Here, we compare the magnitudes of forest and carbon loss, and forest and carbon stocks remaining within oil palm plantation, logging, fiber plantation (pulp and paper), and coal mining concessions in Indonesia. Forest loss in all industrial concessions, including logging concessions, relate to the conversion of forest to nonforest land cover. We found that the four industries accounted for ∼44.7% (∼6.6 Mha) of forest loss in Kalimantan, Sumatra, Papua, Sulawesi, and Moluccas between 2000 and 2010. Fiber plantation and logging concessions accounted for the largest forest loss (∼1.9 Mha and ∼1.8 Mha, respectively). Although the oil palm industry is often highlighted as a major driver of deforestation, it was ranked third in terms of deforestation (∼1 Mha), and second in terms of carbon dioxide emissions (∼1,300–2,350 Mt CO2). Crucially, ∼34.6% (∼26.8 Mha) of Indonesia's remaining forests is located within industrial concessions, the majority of which is found within logging concessions (∼18.8 Mha). Hence, future development plans within Indonesia's industrial sectors weigh heavily on the fate of Southeast Asia's remaining forests and carbon stocks.

Introduction

Southeast Asia's tropical forests harbor exceptional biodiversity, provide important ecosystem services, and support the livelihoods of local communities (Sodhi et al. 2006; Naidoo et al. 2009; Page et al. 2011b; Jenkins et al. 2013). Unfortunately, forests in the region are under increasing threat due to rising demands for food, timber, and other natural resources that are driving widespread deforestation and forest degradation (DeFries et al. 2010; Gibbs et al. 2010; Foley et al. 2011; Wilcove et al. 2013). A case in point is Indonesia, which accounts for ∼44% of Southeast Asia's forest cover but experiences one of the world's highest deforestation rates, second only to Brazil (Hansen et al. 2008; Harris et al. 2012; Stibig et al. 2013). During 2000–2010, Indonesia lost 0.82 Mha of forest per year (Stibig et al. 2013), accounting for ∼56% of total forest cover loss in Southeast Asia (Stibig et al. 2013). As a result, Indonesia also contributes substantially to land‐based global carbon emissions (Harris et al. 2012). Although ∼41% (∼53 Mha) of Indonesia's forest is under some form of protection (Indonesian Ministry of Forestry 2011), a large proportion of its unprotected forests is located within commercial logging, mining, or plantation concessions, the fate of which has significant bearing on Indonesia's biodiversity and carbon stocks (Harris et al. 2012; Wich et al. 2012; Carlson et al. 2013; Gaveau et al. 2013).

A combination of decentralization policies and globalized financial markets has spurred enterprise‐driven deforestation in Indonesia over the last two decades (Casson 2000; Jepson et al. 2001; Rudel et al. 2009). In the late 1980s, large tracts of forests were allocated by Suharto's New Order Government to powerful conglomerates for logging or agricultural development (Holmes 2002; Rudel et al. 2009). Since the fall of Suharto's regime, a slew of decentralization laws passed in 2001 conferred greater autonomy to district‐level authorities for allocating industrial concessions over forested lands for logging, oil and gas exploration, mining activities, and plantation expansion (in particular fiber and oil palm plantations) (Casson 2000; Jepson et al. 2001; Burgess et al. 2012). Recent remote sensing studies have confirmed significant forest losses from the oil palm and fiber industries (Uryu et al. 2008; Miettinen et al. 2012; Carlson et al. 2013), and have detected forest degradation and increased prevalence of fires from logging activities (Siegert et al. 2001). While the mining, and oil and gas exploration industries have also contributed to significant environmental damage (Usher 2013), this has been documented to a lesser extent by remote sensing studies. A recent report has also singled out the oil palm industry as being the largest driver of new deforestation in Indonesia (Greenpeace 2013), although the results of this report have been widely debated (Reyes 2013; RSPO 2013). Crucially, there has been no quantitative assessment of the relative contributions of the various forest‐exploiting sectors (oil palm, logging, fiber, mining) to recent deforestation in the whole of Indonesia (but see Gaveau et al. 2013 for Kalimantan). Such an assessment will provide much needed baseline data for developing evidence‐based policy interventions targeted at the relevant industrial sectors.

Here, we examine two policy‐relevant research gaps: (i) the relative magnitudes of recent forest loss and carbon emissions within concessions of oil palm plantations, logging, fiber plantations, and coal mining; and (ii) the extents of natural forest and associated carbon stock that remain within these concessions. We specify here that forest loss in all industrial concessions, including logging concessions, relate to the conversion of forest to nonforest land cover classes.

Analyzing land cover change within concessions

We used 250 m spatial resolution land cover classification maps produced by Miettinen et al. (2011) to quantify forest loss in Indonesia from 2000 to 2010 (Supporting Information). (Forest loss refers to the conversion of mangrove forests, peat swamp forests, lowland forests, lower montane forests, or upper montane forests to nonforest land cover. Within logging concessions, forest loss refers to the conversion of forests, whether already logged or not, to nonforest land cover.) We obtained the best available and most updated geospatial data on industrial oil palm plantations, logging concessions, fiber plantations, and coal mining concessions for Indonesia from Greenpeace, an environmental nongovernmental organization (NGO) (Table 1). Similar concession datasets have also been used in other recent research (e.g., Wich et al. 2012; Carlson et al. 2013; Gaveau et al. 2013; Lee et al. 2013). Logging concessions are designated for selective logging; fiber plantations are used for fast growing tree crop species (e.g., Acacia mangium) to supply raw material for pulp and paper production; and oil palm plantations consist of the crop Elaeis guineensis, for palm oil production. Coal mining datasets were available only for Sumatra and Kalimantan (see Supporting Information for details). Using the available industrial concession datasets, we conducted a land cover change analysis using ERDAS IMAGINE v2011, and quantified the extent of forest loss (mangrove, peat swamp forest, lowland forest, lower montane forest, and upper montane forest) within these industrial concessions from 2000 to 2010 (see Supporting Information for details). We focused our analyses on Sumatra, Kalimantan, Sulawesi, Moluccas, and Papua, islands that contained 97% (∼76.9 Mha) of Indonesia's total forest cover in 2010.

Table 1. Area of industrial concessions for each region in Indonesia
Area of industrial sectors (ha)
Land area (ha) Oil palm Logging Fiber Mining Mixed concessions All industries
Kalimantan 53,602,272 8,367,206 9,192,299 4,242,584 2,538,180 4,737,105 29,077,375
Sumatra 47,639,870 3,099,060 1,368,171 4,467,859 1,583,892 767,572 11,286,553
Papua 41,505,929 416,636 10,442,780 1,412,020 NA 275,783 12,547,219
Sulawesi 18,738,282 249,154 1,663,584 441,988 NA 24,141 2,378,868
Moloccus 7,884,757 0 1,325,608 44,330 NA 0 1,369,939
Total 169,371,110 12,132,057 23,992,442 10,608,782 4,122,072 5,804,600 56,659,954

We assumed that forest loss within each concession is ultimately the responsibility of the respective industrial sector. For example, any deforestation within an oil palm concession would add to the total deforestation tally of the oil palm sector. We make no attempt to clarify the proximate mechanisms underlying deforestation within concessions (e.g., illegal logging, small‐scale encroachment into concessions, fires), as that is beyond the scope of our analysis. Instead, our primary objectives are to determine the relative contribution of each industry to recent forest loss and carbon emissions, and the amount of forest and carbon stock that remains within concessions of each industrial sector. Within logging concessions, we do not take into account carbon emissions from selective logging, as the land cover classification we use does not distinguish between the parts of logging concessions that have already been logged.

Forest loss and carbon emissions

During 2000–2010, Sumatra, Kalimantan, Sulawesi, Moluccas, and Papua lost ∼14.7 Mha of forests in total, of which ∼44.7% (∼6.6 Mha) occurred within industrial concessions, including ∼1.9 Mha (∼12.8%) in fiber plantation concessions, ∼1.8 Mha (∼12.5%) in logging concessions, ∼1.6 Mha (∼11%) in oil palm plantation concessions, ∼0.9 Mha (∼6.3%) in mixed concessions, and ∼0.3 Mha (∼2.1%) in mining concessions. Mixed concessions are areas of overlap between concessions (see Supporting Information for details).

Out of the 14.7 Mha of forest lost, ∼10.1 Mha was lowland forest. Approximately ∼48.7% (∼4.9 Mha) of lowland forest loss occurred within industrial concessions, including ∼1.6 Mha (∼15.5%) in logging concessions, ∼1.2 Mha (∼11.5%) in fiber plantations, and ∼1 Mha (∼10.3%) in oil palm plantation concessions. Peat swamp forest loss (∼1.4 Mha out of ∼2.9 Mha) within industrial concessions occurred mainly within fiber plantation concessions (∼665,000 ha; ∼22.7%) and oil palm plantation concessions (∼534,000 ha; ∼18.2%). There were only relatively minor losses of lower montane forest, mangrove forest, and upper montane forest within industrial concessions (Figure 1a).

image
Forest loss in Indonesia from 2000 to 2010 within different industrial sectors, and forest remaining among different industrial sectors based on forest types (a) and (b), respectively, and islands (c) and (d), respectively. Coal mining concessions were unavailable for Papua, Sulawesi, and Moluccas.

Among the different islands, the highest forest loss within industrial concessions occurred in Kalimantan (∼3.2 Mha; ∼65.7%), followed by Sumatra (∼2.1 Mha; ∼44.6%), Papua (∼821,000 ha; ∼33.8%), Sulawesi (∼340,000 ha; ∼17.9%), and the Moluccas (∼119,000 ha; ∼15.3%) (Figure 1c). The largest forest loss in Kalimantan occurred within oil palm plantations (∼1.1 Mha out of ∼4.8 Mha or ∼22.8% of total forest loss in Kalimantan), followed by mixed concessions (∼714,000 ha; ∼14.8%), and logging concessions (∼717,000 ha; ∼14.9%). In Sumatra, fiber plantations accounted for the majority of forest loss (∼1.2 Mha out of ∼4.7 Mha; ∼25.3% of total forest loss in Sumatra), followed by oil palm plantation concessions (∼440,000 ha; ∼9.3%), and logging concessions (∼196,000 ha; ∼4.1%). Within Papua, Sulawesi, and Moluccas, logging concessions accounted for majority of forest loss among the industrial concessions (Figure 1c).

From 2000 to 2010, gross carbon emissions as a result of forest loss within all industrial concessions for Kalimantan, Sumatra, Papua, Sulawesi, and Moluccas ranged from 4,577 to 8,662 Mt CO2 or 42–45% of gross carbon emissions from total forest loss (range of values represent carbon dioxide emissions from two scenarios, i) where all lowland forests were logged/disturbed and no peatland burning occurred; ii) all lowland forests were intact and peatland burning occurred; see Supporting Information for more details). Overall carbon emissions were highest within fiber plantation concessions (1,636–2,963 Mt CO2), followed by oil palm plantation concessions (1,305–2,345 Mt CO2), logging concessions (989–1,911 Mt CO2), mixed concessions (481–1,065 Mt CO2), and mining concessions (166–378 Mt CO2). In Kalimantan, the oil palm industry contributed to the highest carbon emissions (39–43%), followed by mixed concessions and logging concessions (19–21% and 18–20%, respectively), fiber plantation concessions (13–14%), and mining concessions (6%). In Sumatra, fiber plantation concessions contributed to the highest carbon emissions (57–59%), followed by the oil palm plantation concessions (23–24%), mixed concessions and logging concessions (6–8% and 7–8%, respectively), and mining concessions (3–4%). In Papua, Sulawesi, and Moluccas, logging concessions accounted for the majority of carbon emissions (Table 2).

Table 2. Mean estimates for gross carbon dioxide emissions (Mt CO2) from forest loss within industrial concessions. Values in parentheses represent the percentage of carbon dioxide emissions of each industrial concession, relative to all industrial concessions
Industrial concessions
Total emissions Fiber Oil palm Logging Mixed concession Mining All industries
Kalimantan 3,045–5,824 232–488 749–1,410 311–726 333–745 99–220 1,725–3,588
(13–14) (43–39) (18–20) (19–21) (6–6)
Sumatra 4,732–8,355 1,257–2,231 523–877 159–327 132–294 66–158 2,137–3,888
(59–57) (24–23) (7–8) (6–8) (3–4)
Papua 1,846–2,839 120–199 22–38 360–590 15–25 NA 517–851
(23–23) (4–4) (70–69) (3–3)
Sulawesi 993–1,448 24–37 12–21 120–182 0.5–1.1 NA 156–242
(16–15) (7–9) (77–75) (0.3–0.5)
Moluccas 306–635 3–7 0 38–86 0 NA 41–93
(7–8) (93–92)
Total 10,922–19,100 1,636–2,963 1,306–2,345 989–1,911 481–1,065 166–378 4,577–8,662
(35.7–34.2) (28.5–27.1) (21.6–22.1) (10.5–12.3) (3.6–4.4)

Remaining forests and carbon stock

Approximately 77.4 Mha of forest remain within Kalimantan, Sumatra, Sulawesi, Moluccas, and Papua, of which ∼34.6% (∼26.8 Mha) are located within industrial concessions, including ∼18.8 Mha (∼24.3%) in logging concessions, ∼2.7 Mha (∼3.5%) in fiber plantation concessions, ∼2.6 Mha (∼3.4%) in mixed concessions, ∼1.7 Mha in oil palm plantation concessions, and ∼1 Mha in mining concessions. In terms of forest types, ∼21.5 Mha (∼46%) of lowland forests, ∼3.2 Mha (∼33.2%) of peat swamp forests, ∼1.7 Mha (∼11.9%) of lower montane forests, ∼224,000 ha (∼18.1%) of mangrove forests, and ∼172,000 ha (∼3%) of upper montane forests are located within industrial concessions (Figure 1b).

Among the different islands, Kalimantan's concessions contain the largest extent of forests (∼12.2 Mha; ∼50% of Kalimantan's total forest cover), of which ∼10.3 Mha are lowland forests (∼61.6% of Kalimantan's lowland forests). In Kalimantan, most remaining forests are found within logging concessions (∼7 Mha; ∼57.1% of remaining forests in industrial concessions), followed by mixed concessions (∼2.2 Mha; ∼18.4%), and oil palm plantation concessions (∼1.2 Mha; ∼9.9%) (Figure 1d). Papua's concessions contain the second largest extent of remaining forests (∼10.2 Mha; ∼34.3% of total forests remaining in Papua), most of which are located within logging concessions (∼8.9 Mha; ∼86.9% of remaining forests in industrial concessions). In Sulawesi and Moloccus, most remaining forests are also found within logging concessions compared to other industries (1.1 Mha and 1.1 Mha, respectively; Figure 1d). Interestingly, in Sumatra, much of the remaining forests is found within fiber plantation concessions (∼799,000 ha; ∼42% of remaining forests in industrial concessions), followed by logging concessions (∼705,000 ha; ∼37.1%), and oil palm plantation concessions (∼138,000 ha; ∼7.3%).

Remaining forests within industrial concessions contain 15,929–28,489 Mt CO2, or 28–38% of carbon stock from all forests in Kalimantan, Sumatra, Papua, Sulawesi, and Moluccas. Unsurprisingly, logging concessions contain the highest source of carbon stocks (10,491–18,465 Mt CO2), followed by fiber plantation concessions (2,141–3,650 Mt CO2), mixed concessions (1,366–2,898 Mt CO2), oil palm plantation concessions (1,367–2,334 Mt CO2), and mining concessions (564–1,142 Mt CO2) (Table 3). In Kalimantan, logging concessions retained the highest carbon stocks (55%), followed by mixed concessions (16–18%), oil palm plantation concessions (12–14%), fiber plantation concessions (8–9%), and mining concessions (7%). In Sumatra, fiber plantation concessions retained the highest carbon stocks (44–47%), followed by logging concessions (35–36%), oil palm plantation concessions (8%), and mining and mixed concessions (5–6%). In Papua, Sulawesi, and Moluccas, logging concessions accounted for the majority of remaining carbon stocks (Table 3).

Table 3. Mean estimates of carbon stock (Mt CO2) in remaining forests within industrial concessions. Values in parentheses represent percentage of carbon stock within each industrial concession, relative to all industrial concessions
Industrial concessions
Carbon stock Logging Fiber Oil palm Mixed concession Mining All industries
Kalimantan 18,598–30,296 3,795–7,435 603–1,157 971–1,699 1,087–2,396 474–940 6,930–13,628
(55–55) (9–8) (14–12) (16–18) (7–7)
Sumatra 10,982–16,193 714–1,243 937–1,519 165–270 106–222 91–202 2,012–3,456
(35–36) (47–44) (8–8) (5–6) (5–6)
Papua 20,076–29,596 4,828–7,953 496–823 206–324 172–276 NA 5,701–9,375
(85–85) (9–9) (4–3) (3–3)
Sulawesi 5,422–6,518 722–931 97–139 25–41 2–5 NA 846–1,116
(85–83) (12–12) (3–4) (0.3–0.4)
Moluccas 2,407–4,264 432–903 7–12 0 0 NA 439–915
(98–99) (2–1)
Total 57,484–86,868 10,491–18,465 2,141–3,650 1,367–2,334 1,366–2,898 565–1,142 15,929–28,489
(65.9–64.8) (13.4–12.8) (8.6–8.2) (8.6–10.2) (3.5–4.0)

Regulating deforestation and carbon emissions in Indonesia's industrial sectors

To the extent that our concession dataset is incomplete, we might be underestimating the role of concessions in causing deforestation. Moreover, industrial plantation activities have been shown to occur outside of concession boundaries (Gaveau & Salim 2013). Nevertheless, there are other insidious drivers of forest losses that should not be overlooked, such as small‐ and medium‐scale forest clearing, fires, and illegal logging (Curran et al. 2004; Langner et al. 2007; Ekadinata et al. 2013). Given that ∼55.3% of Indonesia's deforestation from 2000 to 2010 occurred outside of industrial concession boundaries, it is important to investigate what other processes could be responsible. Smaller forest opening processes are much more challenging to detect, monitor, and attribute responsibility to than concession development, although recent advances in remote sensing technology are gradually resolving this problem (Asner et al. 2009; Margono et al. 2012; Rosa et al. 2012).

There are important caveats to consider when interpreting our results. First, environmental impacts from the mining industry are likely underestimated since only coal mining for Sumatra and Kalimantan were included. Furthermore, other forms of mining that we did not consider (e.g., gold, copper mining) also threaten Indonesia's forest cover (AFP 2013; Usher 2013). Hence, our reported estimates of forest loss from mining concessions are conservative. Second, we were not able to account for agro‐industrial concessions other than oil palm and fiber (e.g., rubber or Hevea brasiliensis), which could also be contributing significantly to forest loss in some parts of Indonesia (Ekadinata & Vincent 2011). Other commodity crops that may play a role in deforestation (e.g., coffee in South Sumatra or cacao in Sulawesi) are also unaccounted for (Clough et al. 2009; Gaveau et al. 2009), although these are mostly small‐ or medium‐scale land holdings (Koch 2009; Levang et al. 2012). Third, we assumed that all forest loss within each concession is ultimately the responsibility of the respective industrial sector. This may not be the case entirely as the date of establishment of the concessions was not taken into account due to incomplete records. For instance, many oil palm and fiber plantation concessions were originally logging concessions. In these cases, the forests might have already been lost due to prior land use (Casson 2000; Kartodihardjo & Supriono 2000). Additionally, present and past small‐scale encroachment into concession areas, accidental fire, or illegal logging are just some examples of events that may occur, or could have occurred, within these concessions that may have little to do with the official industrial activities associated with these concessions. Land speculation has also led to “virtual land grabs” in Indonesia whereby leased plantation concessions are used as investment objects or as a front for logging high‐value timber but never developed into an oil palm or fiber plantation (Casson 2000; Obidzinski & Chaudhury 2009; McCarthy et al. 2012).

We note that the use of different land cover datasets and different industrial concession datasets may give rise to varied figures when it comes to comparing land cover change within Indonesia's industrial sectors. For example, we reported here that 1.2 Mha out of 8.3 Mha (∼14%) of oil palm industrial concession in Kalimantan is remaining forests, while Carlson et al. (2013) estimated that 8.4 Mha out of 9.3 Mha (∼90%) of unplanted oil palm leases was forested. We note that this discrepancy may lie in the following reasons. First, a significant amount of oil palm industrial concessions containing forests may be subsumed under the mixed concession layer due to overlaps with other industrial sectors. Mixed concessions contain a significant amount of forests (∼2.2 Mha) in Kalimantan and our study could have under‐reported remaining forests in oil palm industrial concessions due to the separation of overlapping oil palm concessions. Second, agroforests mapped under Carlson et al. (2013) may have been defined as “plantation/regrowth” under Miettinen et al. (2011) land cover dataset. Under our land cover change analysis, the area of “plantation/regrowth” present in oil palm industrial concessions in Kalimantan amounted to around 2.2 Mha (∼26%). As we could not differentiate agroforests from plantations within the “plantation/regrowth” land class, we did not consider “plantation/regrowth” as a “forest” land cover class, and may have under‐estimated the extent of agroforests that exist within the oil palm industrial concessions. Lastly, the spatial boundaries for oil palm concessions between Carlson et al. (2013) and our study may vary since our data sources were different.

Within Sumatra, fiber plantation concessions accounted for ∼590,000 ha of lowland forest loss and ∼563,000 ha of peat swamp forest loss (Figure 1). Within Kalimantan, fiber plantations accounted for ∼1.6 Mha of lowland forest loss and ∼665,000 ha of peat swamp forest loss. The Indonesian Ministry of Forestry has plans to continue investing in the fiber plantation sector, which would entail the possible development of an additional 2 million ha of fiber plantations, particularly within concessions located in Kalimantan and Papua (Obidzinski & Dermawan 2011, 2012). Our analysis suggests that the Indonesian Ministry of Forestry could potentially minimize forest loss by targeting fiber plantation concessions in East Kalimantan which contain large tracts of nonforested land (∼9.6 Mha of degraded land) (Obidzinski & Dermawan 2011). While other initiatives have advocated for plantation development to be diverted to nonforested land (Boer et al. 2012; Gingold et al. 2012), current tax laws on timber revenues create perverse incentives for the issuance of forested land for plantation development, and these laws must be appropriately addressed first (Irawan et al. 2013).

Given the significant impacts of the fiber plantation industry on Indonesia's forests, there is an urgent need to better understand the biodiversity value of fiber plantations, including how management practices could be improved for maintaining biodiversity and ecosystem services. At present, biodiversity and ecosystem service research is heavily focused on the oil palm and logging industries, whereas only a few studies exist on the assessment of biodiversity in timber plantations and even fewer on the impact of mining (see Supporting Information for more details).

Fiber plantation and oil palm concessions contributed most substantially to Indonesia's carbon dioxide emissions (Table 2). By overlaying the distribution of peat lands with fiber and oil palm plantation concessions, we found that ∼26% of fiber plantation concessions and ∼21% of oil palm plantation concessions were located over peat lands (Table S4). More worryingly, ∼10% and ∼8% of fiber and oil palm concessions, respectively, were located over deep peat (> 3 m in depth). Any development on these lands would contravene Indonesian law (Decree of the President of the Indonesian Republic No.32/1990 concerning Management of Protected Areas or Keputusan Presiden Republik Indonesia No. 32/1990 tentang Pengelolaan Kawasan Lindung), which prohibits the deforestation, drainage, and development of deep peat (Wich et al. 2011). In particular, the development of fiber and oil palm plantations over deep peat would result in long‐term greenhouse gas emissions, hydrological problems related to the flooding and salinization of freshwater resources, as well as higher risks of peat fires (Wösten et al. 2006; Hooijer et al. 2010; Page et al. 2011a; Hooijer et al. 2012). Indeed, recent spatial analysis of the June 2013 haze event showed that 21–47% of NASA's fire alerts were located within fiber and oil palm plantation concessions (Gaveau & Salim 2013; Holmgren 2013; Sizer et al. 2013). To protect peat swamp forests within concessions from future development, they could be demarcated as high conservation value forests as part of best management practices of existing sustainability certification initiatives (e.g., Forest Stewardship Council, www.ic.fsc.org; Roundtable of Sustainable Palm Oil, www.rspo.org; Indonesian Sustainable Palm Oil [Paoli et al. 2013]). Arrangements might also be made to compensate concession owners for the opportunity costs of withholding development on these lands through payments for ecosystem services, such as the Indonesia–Norway agreement to Reduce Emissions from Deforestation and Forest Degradation (REDD+) (Venter & Koh 2012). REDD+ payments have been shown theoretically to be a feasible option for peat swamp forest conservation as these forests are sufficiently carbon‐rich for current carbon prices to compete with the opportunity costs of other industrial land uses (Venter et al. 2009; Irawan et al. 2013).

Logging concessions retain ∼33% of lowland forests (∼15.5 Mha) and ∼16% of peat swamp forests (∼1.6 Mha) in Kalimantan, Sumatra, Papua, Sulawesi, and Moluccas. Gaveau et al. (2013) showed that logging concessions maintained forest cover as efficiently as protected areas, provided they were not reclassified for industrial plantation development. A growing number of studies also suggest that selectively logged forests might be valuable for biodiversity conservation (Edwards et al. 2011; Gibson et al. 2011; Putz et al. 2012). Indeed, well‐managed logging concessions might present a realistic and cost‐effective strategy for forest protection in addition to protected areas (Fisher et al. 2011; Gaveau et al. 2013).

In our analysis, there were substantial overlaps between different types of industrial concessions, which we considered to be mixed concessions (Figure 1). Verifying the ownership of these mixed concessions would be a crucial task for policy makers, considering that mixed concessions accounted for substantial amounts of forest loss, and remaining forest cover and carbon stocks in some islands (e.g., Kalimantan; Figure 1, Tables 11). It is important to have greater transparency and more precise delineation of concession boundaries to improve accountability in cases of environmental damage, such as the widespread fire events on Sumatra in June 2013 that resulted in transnational haze pollution in Southeast Asia (Sizer et al. 2013; Tay & Chua 2013). The Indonesian government is already responding to calls from neighboring countries to do so by developing a “One Map” initiative where a single map layer is to be produced, clarifying land ownership and concession boundaries in Indonesia (Anderson 2013). This map is not just crucial for environmental purposes, it could also help reduce the level of social conflicts with local communities (de Leon et al. 2013).

Acknowledgments

We thank S. Webster for providing access to data on concession boundaries and permission to publish them. S.A.A, J.S.H.L., Z.B., and L.P.K. are supported by the Swiss National Science Foundation. J.G.U. is supported by the Mercator Foundation Switzerland.

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      • Certified “sustainable” palm oil took the place of endangered Bornean and Sumatran large mammals habitat and tropical forests in the last 30 years, Science of The Total Environment, 10.1016/j.scitotenv.2020.140712, 742, (140712), (2020).
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      • Combining Radar and Optical Imagery to Map Oil Palm Plantations in Sumatra, Indonesia, Using the Google Earth Engine, Remote Sensing, 10.3390/rs12071220, 12, 7, (1220), (2020).
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      • Toxicity of palm oil mill effluent on the early life stages of Nile tilapia (Oreochromis niloticus, Linnaeus 1758), Environmental Science and Pollution Research, 10.1007/s11356-020-09410-y, (2020).
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      • Perceptions of Local Vulnerability and the Relative Importance of Climate Change in Rural Ecuador, Human Ecology, 10.1007/s10745-020-00165-1, (2020).
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      • Legacy Effects Overshadow Tree Diversity Effects on Soil Fungal Communities in Oil Palm-Enrichment Plantations, Microorganisms, 10.3390/microorganisms8101577, 8, 10, (1577), (2020).
      • Accounting for Greenhouse Gas Emissions from Forest Edge Degradation: Gold Mining in Guyana as a Case Study, Forests, 10.3390/f11121307, 11, 12, (1307), (2020).
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      • Inadequate Adaptation of Geospatial Information for Sustainable Mining towards Agenda 2030 Sustainable Development Goals, Journal of Cleaner Production, 10.1016/j.jclepro.2019.117954, (117954), (2019).
      • Improvement of knowledge and attitude in conservation of mangrove and coral reefs through environmental education community network model, Journal of Physics: Conference Series, 10.1088/1742-6596/1317/1/012201, 1317, (012201), (2019).
      • SDG 15: Life on Land – The Central Role of Forests in Sustainable Development, Sustainable Development Goals: Their Impacts on Forests and People, 10.1017/9781108765015, (482-509), (2019).
      • Assessing impacts of mining: Recent contributions from GIS and remote sensing, The Extractive Industries and Society, 10.1016/j.exis.2019.06.011, (2019).
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      • Transforming exploitative land-based economy: The case of Borneo, Environmental Development, 10.1016/j.envdev.2019.100487, (100487), (2019).
      • Opportunities and challenges for an Indonesian forest monitoring network, Annals of Forest Science, 10.1007/s13595-019-0840-0, 76, 2, (2019).
      • Cleaner production in the Indonesian pulp and paper sector: Improving sustainability and legality compliance in the value chain, Journal of Cleaner Production, 10.1016/j.jclepro.2019.119259, (119259), (2019).
      • Oil palm concessions in southern Myanmar consist mostly of unconverted forest, Scientific Reports, 10.1038/s41598-019-48443-3, 9, 1, (2019).
      • The forest transformation: Planted tree cover and regional dynamics of tree gains and losses, Global Environmental Change, 10.1016/j.gloenvcha.2019.101988, 59, (101988), (2019).
      • Challenges for Beekeeping in Indonesia with Autochthonous and Introduced Bees, Bee World, 10.1080/0005772X.2019.1571211, (1-5), (2019).
      • Oil Palm (Elaeis guineensis) Mapping with Details: Smallholder versus Industrial Plantations and their Extent in Riau, Sumatra, Remote Sensing, 10.3390/rs11212590, 11, 21, (2590), (2019).
      • Plantation Mapping in Southeast Asia, Frontiers in Big Data, 10.3389/fdata.2019.00046, 2, (2019).
      • Larger gains from improved management over sparing–sharing for tropical forests, Nature Sustainability, 10.1038/s41893-018-0203-0, (2019).
      • A Crisis of Confidence: Stakeholder Experiences of REDD+ in Indonesia, Human Ecology, 10.1007/s10745-019-0045-z, (2019).
      • Indonesian aquaculture futures—identifying interventions for reducing environmental impacts, Environmental Research Letters, 10.1088/1748-9326/ab4b79, 14, 12, (124062), (2019).
      • What causes deforestation in Indonesia?, Environmental Research Letters, 10.1088/1748-9326/aaf6db, 14, 2, (024007), (2019).
      • Evaluating the social and environmental factors behind the 2015 extreme fire event in Sumatra, Indonesia, Environmental Research Letters, 10.1088/1748-9326/aaee1d, 14, 1, (015001), (2019).
      • Modeling peat- and forestland conversion by oil palm smallholders in Indonesian Borneo, Environmental Research Letters, 10.1088/1748-9326/aaf044, 14, 1, (014006), (2019).
      • Identifying key factors for mobilising under-utilised low carbon land resources: A case study on Kalimantan, Land Use Policy, 10.1016/j.landusepol.2017.10.016, 70, (198-211), (2018).
      • Impact of regional haze towards air quality in Malaysia: A review, Atmospheric Environment, 10.1016/j.atmosenv.2018.01.002, 177, (28-44), (2018).
      • Escaping the “Teenage” Years: The Politics of Rigor and the Evolution of Private Environmental Standards, Ecological Economics, 10.1016/j.ecolecon.2018.05.023, 152, (76-87), (2018).
      • Selective logging causes the decline of large-sized mammals including those in unlogged patches surrounded by logged and agricultural areas, Biological Conservation, 10.1016/j.biocon.2018.09.004, 227, (40-47), (2018).
      • The politics of uneven smallholder cacao expansion: A critical physical geography of agricultural transformation in Southeast Sulawesi, Indonesia, Geoforum, 10.1016/j.geoforum.2018.10.006, 97, (22-34), (2018).
      • Congo Basin forest loss dominated by increasing smallholder clearing, Science Advances, 10.1126/sciadv.aat2993, 4, 11, (eaat2993), (2018).
      • Genetic Diversity of Dominant Plant Species in Tropical Land-Use Systems in Sumatra, Indonesia, Tropical Conservation Science, 10.1177/1940082918813908, 11, (194008291881390), (2018).
      • Identification of indicators for evaluating and monitoring the effects of Chinese fir monoculture plantations on soil quality, Ecological Indicators, 10.1016/j.ecolind.2018.05.034, 93, (547-554), (2018).
      • Estimating Aboveground Biomass on Private Forest Using Sentinel-2 Imagery, Journal of Sensors, 10.1155/2018/6745629, 2018, (1-11), (2018).
      • The Economics Behind an Ecological Crisis: Livelihood Effects of Oil Palm Expansion in Sumatra, Indonesia, Human Ecology, 10.1007/s10745-017-9965-7, 46, 1, (107-116), (2018).
      • Spatial modelling of malaria cases associated with environmental factors in South Sumatra, Indonesia, Malaria Journal, 10.1186/s12936-018-2230-8, 17, 1, (2018).
      • Nutritional imbalance in smallholder oil palm plantations in Indonesia, Nutrient Cycling in Agroecosystems, 10.1007/s10705-018-9919-5, 111, 1, (73-86), (2018).
      • Impact of forest conversion to oil palm and rubber plantations on microclimate and the role of the 2015 ENSO event, Agricultural and Forest Meteorology, 10.1016/j.agrformet.2018.01.013, 252, (208-219), (2018).
      • Commodifying sustainability: Development, nature and politics in the palm oil industry, World Development, 10.1016/j.worlddev.2018.02.014, (2018).
      • Birds of Prey in Agricultural Landscapes: The Role of Agriculture Expansion and Intensification, Birds of Prey, 10.1007/978-3-319-73745-4, (197-228), (2018).
      • Deforestation in Dharmasraya District, West Sumatra, Indonesia A Causal Loop Diagrams (CLD) Model, Asian Journal of Scientific Research, 10.3923/ajsr.2018.177.184, 11, 2, (177-184), (2018).
      • Land-use change and income inequality in rural Indonesia, Forest Policy and Economics, 10.1016/j.forpol.2018.06.010, 94, (55-66), (2018).
      • Deforestation trend in North Sumatra over 1990-2015, IOP Conference Series: Earth and Environmental Science, 10.1088/1755-1315/122/1/012059, 122, (012059), (2018).
      • Carbon dioxide emissions from forestry and peat land using land-use/land-cover changes in North Sumatra, Indonesia, IOP Conference Series: Earth and Environmental Science, 10.1088/1755-1315/126/1/012111, 126, (012111), (2018).
      • Orangutans venture out of the rainforest and into the Anthropocene, Science Advances, 10.1126/sciadv.1701422, 4, 6, (e1701422), (2018).
      • Small room for compromise between oil palm cultivation and primate conservation in Africa, Proceedings of the National Academy of Sciences, 10.1073/pnas.1804775115, 115, 35, (8811-8816), (2018).
      • Innovations towards prosperity emerging in locally controlled forest business models and prospects for scaling up, World Development, 10.1016/j.worlddev.2018.08.004, (2018).
      • Restoration to offset the impacts of developments at a landscape scale reveals opportunities, challenges and tough choices, Global Environmental Change, 10.1016/j.gloenvcha.2018.07.008, 52, (152-161), (2018).
      • Parks protect forest cover in a tropical biodiversity hotspot, but high human population densities can limit success, Biological Conservation, 10.1016/j.biocon.2018.04.034, 223, (147-155), (2018).
      • Have Indo-Malaysian forests reached the end of the road?, Biological Conservation, 10.1016/j.biocon.2018.04.029, 223, (129-137), (2018).
      • Indonesia's Moratorium on Palm Oil Expansion from Natural Forests: Economy-Wide Impacts and the Role of International Transfers, Asian Development Review, 10.1162/adev_a_00115, 35, 2, (85-112), (2018).
      • Assessment of Suitability of Tree Species for Bioenergy Production on Burned and Degraded Peatlands in Central Kalimantan, Indonesia, Land, 10.3390/land7040115, 7, 4, (115), (2018).
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      • , Palmiers à huile et biodiversité: analyse de la situation par le Groupe de travail de l’UICN sur les palmiers à huile, 10.2305/IUCN.CH.2018.11.fr, (2018).
      • The Mt Halimun-Salak Malaise Trap project - releasing the most species rich DNA Barcode library for Indonesia, Biodiversity Data Journal, 10.3897/BDJ.6.e29927, 6, (2018).
      • Subsidence and carbon dioxide emissions in a smallholder peatland mosaic in Sumatra, Indonesia, Mitigation and Adaptation Strategies for Global Change, 10.1007/s11027-018-9803-2, (2018).
      • System Properties Determine Food Security and Biodiversity Outcomes at Landscape Scale: A Case Study from West Flores, Indonesia, Land, 10.3390/land7010039, 7, 1, (39), (2018).
      • Combined Landsat and L-Band SAR Data Improves Land Cover Classification and Change Detection in Dynamic Tropical Landscapes, Remote Sensing, 10.3390/rs10020306, 10, 2, (306), (2018).
      • Primates in peril: the significance of Brazil, Madagascar, Indonesia and the Democratic Republic of the Congo for global primate conservation, PeerJ, 10.7717/peerj.4869, 6, (e4869), (2018).
      • Analyses of Land Cover Change Trajectories Leading to Tropical Forest Loss: Illustrated for the West Kutai and Mahakam Ulu Districts, East Kalimantan, Indonesia, Land, 10.3390/land7030108, 7, 3, (108), (2018).
      • Regionally Diverse Land-Use Driven Feedbacks from Soils to the Climate System, Soil and Climate, 10.1201/b21225, (61-130), (2018).
      • Resource extraction and infrastructure threaten forest cover and community rights, Proceedings of the National Academy of Sciences, 10.1073/pnas.1812505115, (201812505), (2018).
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      • Sustainable palm oil as a public responsibility? On the governance capacity of Indonesian Standard for Sustainable Palm Oil (ISPO), Agriculture and Human Values, 10.1007/s10460-017-9816-6, 35, 1, (223-242), (2017).
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      • Determinants of illegal logging in Indonesia: An empirical analysis for the period 1996–2010, Journal of Sustainable Forestry, 10.1080/10549811.2017.1369436, 37, 2, (197-220), (2017).
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      • Lines in the sand: quantifying the cumulative development footprint in the world’s largest remaining temperate woodland, Landscape Ecology, 10.1007/s10980-017-0558-z, 32, 10, (1969-1986), (2017).
      • Oil-palm yields in diversified plantations: Initial results from a biodiversity enrichment experiment in Sumatra, Indonesia, Agriculture, Ecosystems & Environment, 10.1016/j.agee.2017.02.026, 240, (253-260), (2017).
      • Community forest management in Indonesia: Avoided deforestation in the context of anthropogenic and climate complexities, Global Environmental Change, 10.1016/j.gloenvcha.2017.08.002, 46, (60-71), (2017).
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