Methane, Nitrous Oxide and Ammonia Emissions from Livestock Farming in the Red River Delta, Vietnam: An Inventory and Projection for 2000–2030

Abstract

Livestock farming is a major source of greenhouse gas and ammonia emissions. In this study, we estimate methane, nitrous oxide and ammonia emission from livestock sector in the Red River Delta region from 2000 to 2015 and provide a projection to 2030 using IPCC 2006 methodologies with the integration of local emission factors and provincial statistic livestock database. Methane, nitrous oxide and ammonia emissions from livestock farming in the Red River Delta in 2030 are estimated at 132 kt, 8.3 kt and 34.2 kt, respectively. Total global warming potential is estimated at 5.9 MtCO_2eq in 2030 and accounts for 33% of projected greenhouse gas emissions from livestock in Vietnam. Pig farming is responsible for half of both greenhouse gases and ammonia emissions in the Red River Delta region. Cattle is another major livestock responsible for greenhouse gas emissions and poultry is one that is responsible for ammonia emissions. Hanoi contributes for the largest emissions in the region in 2015 but will be surpassed by other provinces in Vietnam by 2030.

1. Introduction

Economic growth in Vietnam has shifted food consumption patterns to incorporate more livestock products (meat, dairy products, and eggs) [1]. With the growing demand for livestock products, livestock farming is expanding in Vietnam and is among the fastest growing agricultural production subsectors in Vietnam [1]. In 2015, livestock accounted for 28% of value added from the agriculture sector. The development and intensification of this subsector has led to an increase in the total animal population during the past decade. In 2016, Vietnam had 29 million pigs, 5.5 million cattle, 2.5 million buffalos, and 361 million poultry [2]. The largest population increases compared to 2005 have been in poultry (increased by 65% with 142 million head added), followed by pigs (increased by 8% with 2 million head added); while numbers of cattle and buffalo have fluctuated slightly.

The development and intensification of livestock farming helps to ensure national food security and boosts economic growth. However, this sector is also a significant contributor to environmental pollution in general and air pollution in particular. Livestock farming contributes significantly to global greenhouse gas (GHG) emissions [3] by releasing methane (CH₄) and nitrous oxide (N₂O), as well as air pollutants, mostly ammonia (NH₃), into the atmosphere. Livestock farming is the largest emissions source of NH₃ [4,5,6], which plays a major role in eutrophication and acidification [7]. The Food and Agriculture Organization (FAO) has estimated that 18% of global GHG emissions originate from the livestock sector.

Vietnam is listed among the 20 countries with the highest GHG emissions in the UNFCCC and FAOSTAT databases [8]. Emissions from livestock farming account for approximately 20% of greenhouse gas emissions from agricultural activities in Vietnam according to the National GHG emissions inventory for 2010 [9]. Emissions from enteric digestion are responsible for half of all livestock emissions, with the other half originating from manure management, one of the fastest-growing sources of GHG emissions in Vietnam during 1994–2010 [5]. An inventory of CH₄ emissions from livestock in Asia in 2000 [10] showed that poultry emitted the largest amounts of CH₄ in Vietnam, followed by cattle, buffalo, and pigs. A CH₄ and N₂O emissions inventory for South, Southeast, and East Asia was recently conducted [11] using emissions inventory methodologies from the International Panel on Climate Change (IPCC) 1997 Guidelines for National Emission Inventory, and ranked Vietnam in 6th place for NH₃ emissions and 7th place for CH₄ and N₂O emissions among the 23 countries studied. An estimate of air pollutants and GHGs over Asia aggregated Vietnam within the Southeast Asia region [12]. To the best of our knowledge, no emissions inventory has been conducted for CH₄ and N₂O in Vietnam using IPCC 2006 methodologies. Previous studies estimating livestock farming emissions in Vietnam have been conducted at the provincial scale or for one type of pollutant (such as GHG or air pollutant). Examples of such studies include estimates of CH₄ emissions from cattle in Daklak province [13], CH₄ emissions from cattle in Quang Ngai province, with mitigation scenarios [14], and GHG and pollutants from livestock farming within a ward of Hung Yen province [15].

It is important to develop a historical inventory and projections of future livestock GHG and air pollutants to improve our understanding of the evolution of emissions and their associated impact on air quality. In this study, we focused on the Red River Delta (RRD) region, which is among the largest livestock farming centers in Vietnam. This region contained 8726 livestock farms in 2016, accounting for 42% of all livestock farms in the country [2]. RRD contains the largest number of pigs and poultry, with populations of 7.4 million and 93.7 million head, respectively (account for 26% of country’s total). This inventory attempts to quantify emissions of CH₄, N₂O, and NH₃ produced by livestock farming, in RRD from 2000 to 2030 at a 5-years resolution using the IPCC 2006 Guidelines for National Emission Inventory [16] and regional or country-specific emission factors wherever applicable. Its results are designed to provide input to more comprehensive studies about regional air quality, for example using an air dispersion model and the Greenhouse Gases—Air Pollution Interactions and Synergies (GAINS) model.

2. Materials and Methods

2.1. Emission Inventory Methodology

We conducted an emissions inventory for livestock farming for the sources and pollutant species listed in

Table 1. Activities and pollutant species included in the inventory.

Source/Pollutant	CH4	N2O	NH3
Enteric fermentation	✓
Manure management	✓	✓	✓

. We applied emissions inventory methodologies from the IPCC Guidelines for the National Emission Inventory [16]. In general, we applied Tier 1 methods, such that activity data were multiplied by relevant emission factors. Country-specific emission factors were used (Tier 2 method) wherever applicable. The general equation for estimating livestock emission is Equation (1) [17].

$$E_j={\displaystyle \sum }_T{N}_T\times E{F}_{T,j}$$

(1)

where $E_j$ is the emission from animal type $T$ and pollutant $j$; $N_T$ is the number of animal of type $T, E{F}_{T,j}$ is the emission factor for animal type $T$ for pollutant $j$.

Equation (2) from IPCC 2006 Guidelines was used to estimate direct N₂O emissions from manure management.

$$E_{N2O}=\left[{\displaystyle \sum }_S\left[{\displaystyle \sum }_T\left(N_T\times Ne{x}_T\times M{S}_{T,S}\right)\right]\times E{F}_S\right]\times \frac{44}{28}$$

(2)

where $N_T$ is number of animal type $T$, $Ne{x}_T$ is the annual average Nitrogen excretion per head of animal type $T$. $Ne{x}_T$ is calculated using Equation (3), where $N_{rate T}$ is the default Nitrogen excretion rate; $TAM$ is the typical animal mass for animal type $T$. Both values are provided in the IPCC 2006 Guidelines. Value of $Ne{x}_T$ for animals in Asia are listed in

Table 2. Nitrogen (N) excretion per animal type (kgN head⁻¹ yr⁻¹).

Animal	${\mathit{N}}_{\mathit{r}\mathit{a}\mathit{t}\mathit{e} \mathit{T}}$ (kgN/1000 kg Animal Mass/Day) [16]	$\mathit{T}\mathit{A}\mathit{M}$ (kg/Animal) [16]	$\mathit{N}\mathit{e}{\mathit{x}}_{\mathit{T}}$ (kgN/Head/yr) [16]
Dairy cattle	0.47	350	60.043
Other cattle	0.34	319	39.588
Pigs	0.42	28	4.292
Poultry	0.82	1.8	0.539
Goats	1.37	30	15.002
Horses	0.46	238	39.960
Buffalo	0.32	380	44.384

. $M{S}_{T,S}$ is the fraction of total annual nitrogen excretion for each animal of type $T$ in manure management system $S$. $M{S}_{T,S}$ is provided in

Table 3. Fraction of total annual N excretion for each animal type and emission factors by manure management system.

Manure Management System	Fraction of Total Annual N Excretion (kg N Excreted) by Manure Management System							Emission Factor kg N2O-N/kg N Excreted
	Dairy Cattle	Other Cattle	Pig	Horse	Goat	Buffalo	Poultry
Pasture/range	0.20	0.50	-	1	1	0.50	-	-
Daily spread	0.29	0.02	-	-	-	0.04	0.55	0
Solid storage	-	-	0.15	-	-	-	-	0.005
Dry lot	0.07	0.48	-	-	-	0.46	-	0.02
Liquid/slurry	0.38	-	0.15	-	-	-	-	0.05
Anaerobic lagoon	0.04	-	-	-	-	-	-	0
Pit storage	-	-	-	-	-	-	-	0.002
Anaerobic digester	0.02	-	0.30	-	-	-	-	0
Composting static pile	-	-	0.40	-	-	-	-	0.006
Poultry manure with litter	-	-	-	-	-	-	0.45	0.001

. $E{F}_S$ is default emission factor for direct N₂O emission from manure management system S (Table 3). 44/28 is the conversion of N₂O-N emissions to N₂O emissions.

$$Ne{x}_T=N_{rate T}\times TAM/1000\times 365$$

(3)

N_rateT, default N excretion rate; TAM, typical animal mass for animal of type T; Nex_T, annual average N excretion per head of animal of type T.

2.2. Data

The RRD region consists of 11 provinces and two cities, including Hanoi, the capital of Vietnam. In our inventory, historical activity data from 2000 to 2015 was acquired at the provincial level and summed to obtain regional data. Projected activities were obtained from approved provincial, regional, and national agricultural development plans.

Historical data on provincial livestock numbers were obtained from the Statistical Yearbook of each province and from the Vietnam Statistical Yearbook [18,19]. More detailed data (e.g., numbers of dairy cattle and laying hens) were obtained from the Department of Livestock Production, Ministry of Agriculture and Rural Development, and are publicly accessible [20]. Livestock is classified into the following groups: Dairy cattle, other cattle, pigs, poultry, horses, and goats. Data on livestock number by province is provided in Table S1, Supplementary Materials.

Projected livestock numbers for 2020 were obtained from the Provincial Agriculture Development Plan for each province. Projections for 2030 were not available for all provinces examined in this study; therefore, we distributed the projected livestock populations for Vietnam in 2030 [21] into these provinces using the proportion of each type of animal of each province over the national total in 2020. Projections for 2025 take the average of 2020 and 2030 values. Historical and projected livestock populations are presented in

Table 4. Livestock population data used in this emissions inventory.

Animal (103 Head)	2000	2005	2010	2015	2020	2025	2030
Dairy Cattle	13.5	20.0	19.3	48.3	45.3	63.7	77.5
Other cattle	489.4	689.9	604.0	445.4	754.1	757.7	871.4
Poultry	54,742	59,597	76,394	90,829	97,686	109,352	124,153
Horses	1.5	1.3	1.8	0.9	1.0	1.0	0.9
Goat	10.5	10.5	75.6	79.1	96.8	112.1	129.6
Buffalo	278.1	209.1	168.7	130.4	130.2	108.4	108.7
Pig	5688	7796	7301	7061	9326	9906	10,476

.

Distributions of N excretion for each animal type managed under different manure management systems are provided in Table 3. We estimated the proportion of manure by type of management system for the pig and poultry industries using results from previous studies [22,23,24]. We used default values from the IPCC 2006 Guidelines for cattle, buffalo, and other animals.

2.3. Emission Factors

A summary of the CH₄ and NH₃ emission factors used in this study is provided in

Table 5. Methane (CH₄) and ammonia (NH₃) emission factors.

		Dairy Cattle	Other Cattle	Pig	Horse	Goat	Buffalo	Poultry
Enteric fermentation
CH4 (kg/head−1yr−1)	used in this study	94.5 a	41 a	1 c	18 c	5 c	82.3 b	-
	IPCC 2006 c	68	47	1	18	5	55	-
Manure Management
CH4 (kg/head−1yr−1)		26 c	1 c	6 c	1.64 c	0.17 c	2 c	0.02 c
NH3 (kg/head−1yr−1)		5.6 b	3 b	1.5 b	7 b	1.1b	3.4 b	0.12 b

^a [26]; ^b [15]; ^c [16]

. We used regional emission factors for CH₄ emission from enteric fermentation from previous studies for dairy and beef cattle [25,26] and buffalo [15]. We used the IPCC 2006 default values for all other animals. We used the IPCC 2006 Guidelines for N₂O, in which emission factors were specified for manure management systems (Table 3). We used an adjusted European NH₃ emission factors [11], which were also used in a previous study [15] for Vietnam.

3. Results

3.1. Estimated Total Emissions

Figure 1 shows the estimated CH₄, N₂O and NH₃ emissions from livestock farming in RRD. Total CH₄ emissions in 2015 were 87 kt (Figure 1a), or 2.4 Mt CO₂ equivalent (CO_2eq) as determined using the global warming potential (GWP) for 100-year time horizon from IPCC Fifth Assessment Report [27]. Given the current agricultural development plan, the total amount of CH₄ emissions for RRD in 2030 was estimated at 132 kt, or 3.7 Mt CO_2eq. Decreases in CH₄ emissions in 2010 and 2015 were due to decreases in numbers of other cattle and buffalo in those years. Although the buffalo population continued to decrease in the subsequent years, increases in the numbers of other animals kept CH₄ emissions on an upward trend from 2020 onward. Enteric fermentation and manure management contributed equally to total CH₄ emissions, which were estimated at 63 and 69 kt, respectively, for 2030. N₂O emissions showed an upward trend, reaching 8.3 kt by 2030 (Figure 1b), or 2.2 Mt CO_2eq. Although N₂O emissions were 16-fold lower than those of CH₄, higher GWP limited the global warming impacts of N₂O to 1.6 times lower than those of CH₄.

The total GHG emissions from livestock from our estimation for RRD region in 2015 is 4.0 MtCO_2eq. GHG emissions projection for 2020 and 2030 are 5.0 and 5.9MtCO_2eq, respectively. Our estimations indicates that RRD region accounts for about one-third of Vietnam’s GHG emissions from livestock farming according to the national GHG inventory [9]. This result reflects the fact that RRD is the largest livestock farming center in Vietnam. Compare with a previous estimate [28], as summarized in Reference [1], our estimation results in much higher GHG emissions. Total GHG emissions from livestock in RRD is estimated at 2.1 MtCO_2eq in 2012 in the study of Reference [28] while our estimation for 2010 is 4.1 MtCO_2eq.

NH₃ emissions increased over time as the animal population expanded during the past decade, and are projected to further increase until 2030 (Figure 1c). By 2030, total NH₃ emissions from livestock in RRD are expected to reach 34 kt.

3.2. Emissions by Animal Type

CH₄ emissions from enteric fermentation and manure management were of the same order of magnitude. However, the contributions differed by animal type in these emissions categories. Cattle contributed the largest proportion of CH₄ emissions from enteric digestion (Figure 2a). Modifying diet is one of the mitigation option for methane emissions from enteric fermentation [29]. Several studies have explored the potential for emissions reduction by changing cattle diet at a local scale [13,25,26]. The National Plan for GHG emissions reduction in the agricultural sector by 2020 [30] has proposed two measures to reduce enteric fermentation emissions: (i) changing the feeding proportion in 30% of total amount of animal feed to reduce 0.91 MtCO_2eq (3.73% GHG emissions in livestock production projected for 2020) and (ii) supply Molasses Urea Block for 192,000 dairy cattle for a reduction of 0.37 MtCO_2eq (1.51% GHG emissions in livestock production projected for 2020). However, the practice of implementing those mitigation measures nation-wide is not yet documented.

CH₄ emissions from manure management are produced mainly from pig farming (Figure 2b). Pig husbandry emits 50 kt of methane in 2015, accounts for 57% total methane emission. The dominance of pig farming in CH₄ emission suggests that more effort should be made to effectively mitigate emissions in this sector, as RRD has the highest pig farming density in Vietnam. The most common method of emissions mitigation in Vietnam is the production of biogas from pig manure due to subsidization of anaerobic digester construction by the government [31].

Poultry and pig farming are responsible for about 90% of N₂O (Figure 3) and NH₃ emissions (Figure 4). Poultry accounted for largest share of N₂O emissions (60%) followed by pigs (26%). The farming of these animals contributed equally to NH₃ emissions. Although chicken manure is a preferred source of organic fertilizer [1], the remaining uncollected poultry manure apparently has a considerable impact. GHG emissions from poultry husbandry accounted for 27% of total GHG emissions from livestock farming in 2015.

3.3. Emissions by Provinces

Figure 5 presents methane, nitrous oxide and ammonia emissions by provinces in the Red River Delta in 2015 and projection for 2030. In 2015, Hanoi is the dominant city for emissions (Figure 5a) with 21 kt of methane, 1 kt of nitrous oxide and 5.5 kt of ammonia (

Table A1. CH₄ emissions (kt/y) by provinces.

Province	2000	2005	2010	2015	2020	2025	2030
Hanoi	18.99	24.07	22.88	20.99	21.11	19.89	19.02
Bac Ninh	6.29	6.57	4.88	4.65	4.71	4.77	4.77
Hung Yen	4.71	6.52	6.72	6.38	6.54	6.37	6.32
Vinh Phuc	10.81	13.06	12.34	11.15	16.00	16.83	18.65
Quang Ninh	8.12	9.03	9.01	7.13	15.92	17.60	21.66
Hai Duong	9.01	9.72	6.08	5.64	5.61	5.70	5.70
Hai Phong	5.35	5.85	5.34	4.76	7.60	8.15	9.30
Thai Binh	8.44	11.13	11.28	9.57	15.40	16.20	18.25
Ha Nam	4.12	5.04	4.45	4.17	7.12	8.65	10.00
Nam Dinh	5.67	7.45	7.50	7.60	8.61	9.01	9.56
Ninh Binh	5.11	6.43	5.68	5.16	7.25	7.59	8.37

,

Table A2. N₂O emissions (kt/y) by provinces.

Province	2000	2005	2010	2015	2020	2025	2030
Hanoi	0.83	1.12	1.23	1.38	1.10	1.11	1.05
Bac Ninh	0.256	0.298	0.292	0.31	0.30	0.30	0.30
Hung Yen	0.34	0.44	0.49	0.51	0.32	0.27	0.27
Vinh Phuc	0.40	0.25	0.53	0.57	0.84	0.96	1.11
Quang Ninh	0.20	0.22	0.23	0.23	0.67	0.82	1.21
Hai Duong	0.47	0.57	0.49	0.58	0.70	0.80	0.78
Hai Phong	0.30	0.34	0.39	0.44	0.50	0.56	0.61
Thai Binh	0.47	0.63	0.66	0.70	0.96	1.07	1.22
Ha Nam	0.19	0.25	0.29	0.34	0.49	0.58	0.68
Nam Dinh	0.35	0.42	0.46	0.50	0.53	0.57	0.61
Ninh Binh	0.22	0.25	0.27	0.27	0.35	0.38	0.43

and

Table A3. NH₃ emissions (kt/y) by provinces.

Province	2000	2005	2010	2015	2020	2025	2030
Hanoi	3.68	4.97	5.20	5.45	4.69	4.60	4.35
Bac Ninh	1.19	1.35	1.23	1.28	1.25	1.24	1.23
Hung Yen	1.38	1.82	2.00	2.02	1.53	1.38	1.38
Vinh Phuc	1.73	1.45	2.22	2.23	3.33	3.71	4.26
Quang Ninh	0.96	1.10	1.12	1.08	3.17	3.84	5.05
Hai Duong	1.99	2.45	1.96	2.19	2.54	2.83	2.79
Hai Phong	1.32	1.55	1.63	1.71	2.20	2.41	2.70
Thai Binh	2.05	2.87	2.98	2.95	4.04	4.39	4.93
Ha Nam	0.85	1.12	1.22	1.34	2.11	2.50	2.94
Nam Dinh	1.53	1.94	2.02	2.20	2.34	2.51	2.67
Ninh Binh	0.95	1.14	1.21	1.18	1.59	1.70	1.89

). However, Quang Ninh becomes the highest emission province in the RRD by 2030, followed closely by Hanoi, Vinh Phuc and Thai Binh (Figure 5b, Table A1, Table A2 and Table A3). This projection reflects that livestock farming will be developed more in other provinces rather than in the capital city.

4. Discussion

Emission factor is a very important element to the accuracy of the estimations in emission inventory. Default methane emission factors for enteric fermentation in IPCC 2006 Guidelines for Asia is 68 kg head⁻¹ yr⁻¹ for dairy cattle and 47 kg head⁻¹ yr⁻¹ for other cattle. We used emission factors from studies of References [25,26], which were derived from the RUMINANT model (Tier 3 methodology). These emission factors are higher for dairy cattle and lower for other cattle compared to the default values in IPCC 2006 (see

Table A4. Comparision of emission factors used in this study and previous studies.

	Source	Methodology	Type of Animal
			Dairy Cattle	Other Cattle	Pig	Horse	Goat	Buffalo	Poultry
Enteric fermentation
CH4 (kg/head−1yr−1)	IPCC 2006 [16]	Tier 1	68	47	1	18	5	55	-
	[15]	Tier 2	50.46	64.15	-	-	-	82.3	-
	[25]; [26]	Tier 3, RUMINANT model	94.5	41	-	-	-	-	-
	[10]	Tier 1	47	44.9	1	18	5	53.2	-
Manure Management
CH4 (kg/head−1yr−1)	IPCC 1997 [10,15]	Tier 1	16	1	4	1.6	0.18	2	0.018
	IPCC 2006 temp. 25°C	Tier 1	26	1	6	1.64	0.17	2	0.02
N2O (kg/head−1yr−1)	[11,15]	Tier 1	0.29	0.34	0.18	0.87	0.17	0.39	0.0069
	IPCC 1997;	Tier 1	0.29	0.34	0.18	0.77	0.77	0.34	0.0068
	Used in this study		1.92	0.60	0.22	0.00	0.00	0.55	0.0425
NH3 (kg/head−1yr−1)	[15]; [11]		5.6	3	1.5	7	1.1	3.4	0.12

, Appendix A). These emission factor discrepancies were mainly due to higher milk yields from dairy cattle and lower weight in beef cattle in the studied area. Another study [10] used IPCC 1997 default emission factors, which are lower than IPCC 2006 values for both dairy and non-dairy cattle.

Previous studies [11,15] have used a manure management CH₄ emission factor of 16 kg head⁻¹ year⁻¹ for dairy cattle in a temperate climate region with annual average temperature ranging from 15 to 25 °C. However, the IPCC 2006 guidelines provide CH₄ emission factors for temperatures classified at a finer scale. We calculated the annual average temperature for the RRD region to be approximately 25 °C using historical data from three monitoring stations in the region. According to the IPCC 2006 guidelines, the manure management CH₄ emission factor for dairy cattle is 26 kg head⁻¹ year⁻¹, much higher than the value used in previous inventories.

The N₂O emission factors used in this study are presented in Table A4, and expressed in emission per animal head per year to be able to compare with the ones used in previous studies. Some studies have used IPCC 1997 default N₂O emission factors for each animal type (e.g., Reference [11]), which were calculated based on proportional regional values of manure production. Our calculation resulted in higher emission factors for all animals except horses and goats; these are “pasture animals”, for which N₂O emissions are not accounted for as livestock but instead for soil management. Our emission factors for dairy cattle and poultry were an order of magnitude higher than those used previously [11,15]. We used the IPCC 2006 default values for dairy and non-dairy cattle to calculate emission factors, resulting in higher values than those obtained using the IPCC 1997 guidelines due to the incorporation of different manure management systems and the more detailed classification systems employed in the IPCC 2006 guidelines.

Pig husbandry is the largest GHG and NH₃ emitter in the RRD region, which is responsible for about half of total GHG emissions (in CO₂eq) and about 46% NH3 emissions from livestock in 2015. This is an atypical situation compared to neighboring countries. In the emission inventory for South, South East and East Asia for 2000 [11], cattle was the largest emitter for CH₄, N₂O and NH₃ emissions, with a share of 56%, 30% and 33% respectively. Study of Reference [32] in Indonesia has also shown cattle as the major contributor to GHG emissions in the 2005–2015 period. Our results provide a reminder that regarding agricultural sector emission mitigation, policies in the Red River Delta should not be copied from other countries.

The production of emissions from livestock farming depends on various factors including feeding practices, housing systems, and manure management systems. Detailed historical data on the feed composition for each animal type and the proportions of manure managed by different management systems are needed to obtain more accurate emissions estimates. However, these data are not yet systematically collected or well documented for emissions inventory purposes. Improving the quantity and quality of data and research related to livestock farming will help to improve emissions monitoring in this sector.

Currently, environmental protection regulations for livestock farming in Vietnam mainly focus on water quality, not air quality. There is a national technical standard for wastewater from livestock farming in Vietnam, but no specific regulations with respect to manure management and air quality. In practice, compliance with and enforcement of related environmental regulations in the livestock sector are currently weak [1]. The significant contributions to GHG and air pollutant emissions from this sector deserve more attention.

5. Conclusions

In this study, we estimated CH₄, N₂O, and NH₃ emissions from livestock farming in the RRD, northern Vietnam from 2000 to 2015 and projected future emissions to 2030. This inventory and projection yielded emissions by animal type and by province. The results of our emissions inventory indicate that livestock farming in RRD contributes significantly to GHGs and NH₃ emissions. The emissions inventory and projection showed an upward trend in GHG and NH₃ emissions during 2000–2030. The GWP of CH₄ and N₂O emissions was 5.9 MtCO_2eq in 2030, representing 33% of GHG emissions from livestock nationwide. Pig farming contributed the largest proportion of GHG and NH₃ emissions, at 50%. Cattle were responsible for the second largest share of GHG emissions, whereas poultry contributed most of the remaining NH₃ emissions. This study also provides the provincial emissions levels for CH₄, N₂O and NH₃. Understanding the level of emissions emitted in the RRD region and the contribution of different type of livestock as well as the spatial distribution of emissions by province is a first step to developing effective mitigation strategies for reducing GHG and NH₃ emission in the RRD region. Furthermore, this inventory provides an input to implementing regional air dispersion modeling for air pollution impact assessments in the RRD region.