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iForest - Biogeosciences and Forestry

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Modeling the risk of illegal forest activity and its distribution in the southeastern region of the Sierra Madre Mountain Range, Philippines

Jhun B Barit (1-2), Kwanghun Choi (2), Dongwook W Ko (2)   

iForest - Biogeosciences and Forestry, Volume 15, Issue 1, Pages 63-70 (2022)
doi: https://doi.org/10.3832/ifor3937-014
Published: Feb 21, 2022 - Copyright © 2022 SISEF

Research Articles


Illegal activity within protected forests, such as illegal logging, slash-and-burn farming, and agricultural expansion, has brought many plant and animal species to the brink of extinction and threatens various conservation efforts. The Philippine government has introduced a number of actions to combat environmental degradation, including the use of mobile platforms such as the SMART-Lawin system to collect patrol data from the field, which represents a remarkable step towards data-driven conservation management. However, it remains difficult to control illegal forest activity within protected landscapes due to limited patrol and law enforcement resources. A better understanding of the spatial distribution of illegal activity is crucial to strengthening and efficiently implementing forest protection practices. In the present study, we predicted the spatial distribution of illegal activity and identified the associated environmental factors using maximum entropy modeling (MaxEnt). Patrol data collected using the SMART-Lawin system from the Baliuag Conservation Area for the period 2017-2019 were used to train and validate the MaxEnt models. We tuned the MaxEnt parameter setting using the ENMeval package in R to overcome sampling bias, avoid overfitting, and balance model complexity. The resulting MaxEnt models provided a clear understanding of the overall risk of illegal activity and its spatial distribution within the conservation area. This study demonstrated the potential utility of data-driven models developed from patrol observation records. The output of this research is beneficial for conservation managers who are required to allocate limited resources and make informed management decisions.

  Keywords


Philippines, SMART, Ranger Patrol Data, Illegal Forest Activity, Protected Area Management

Authors’ address

(1)
Jhun B Barit
Department of Environment and Natural Resources - DENR (Philippines)
(2)
Jhun B Barit
Kwanghun Choi 0000-0003-0030-8876
Dongwook W Ko
Department of Forest Environment and Systems, Kookmin University (South Korea)

Corresponding author

 
Dongwook W Ko
dwko@kookmin.ac.kr

Citation

Barit JB, Choi K, Ko DW (2022). Modeling the risk of illegal forest activity and its distribution in the southeastern region of the Sierra Madre Mountain Range, Philippines. iForest 15: 63-70. - doi: 10.3832/ifor3937-014

Academic Editor

Maurizio Marchi

Paper history

Received: Jul 28, 2021
Accepted: Dec 16, 2021

First online: Feb 21, 2022
Publication Date: Feb 28, 2022
Publication Time: 2.23 months

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List of the papers citing this article based on CrossRef Cited-by.

 
(1)
Allouche O, Tsoar A, Kadmon R (2006)
Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology 43: 1223-1232.
CrossRef | Gscholar
(2)
Bisson J, Guiang ES, Walpole P, Tolentino D (2003)
Better governance critical to reversing forest degradation in Southeast Asia. In: Proceedings of the “12th World Forestry Congress”. UN-FAO (Québec City, Canada), no. 0837-A4.
Online | Gscholar
(3)
Carandang AP, Bugayong LA, Dolom PC, Garcia LN, Villanueva MMB, Espiritu NO (2013)
Analysis of key drivers of deforestation and forest degradation in the Philippines. Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Manila, Philippines, pp. 110.
Gscholar
(4)
Critchlow R, Plumptre AJ, Driciru M, Rwetsiba A, Stokes EJ, Tumwesigye C, Wanyama F, Beale CM (2015)
Spatiotemporal trends of illegal activities from ranger-collected data in a Ugandan national park. Conservation Biology 29 (5): 1458-1470.
CrossRef | Gscholar
(5)
Critchlow R, Plumptre AJ, Alidria B, Nsubuga M, Driciru M, Rwetsiba A, Wanyama F, Beale CM (2017)
Improving law-enforcement effectiveness and efficiency in protected areas using ranger-collected monitoring data. Conservation Letters 10: 572-580.
CrossRef | Gscholar
(6)
Denninger Snyder K, Mneney PB, Wittemyer G (2019)
Predicting the risk of illegal activity and evaluating law enforcement interventions in the western Serengeti. Conservation Science and Practice 1 (9): 534.
CrossRef | Gscholar
(7)
DENR-PAWB (2009)
New conservation areas in the Philippines project (NewCAPP). Threats to Philippine biodiversity, Department of Environment and Natural Resources-Protected Areas and Wildlife Bureau, Manila, Philippines, pp. 3-5.
Gscholar
(8)
DENR (2015)
Integrated watershed management plan (IWMP) for Angat - Watershed forest reserve. Department of Environment and Natural Resources- Region 3, San Fernando, Pampanga, Philippines, pp. 10-18.
Gscholar
(9)
DENR-FMB (2018)
Philippine forestry statistics 2018. Department of Environment Natural Resources - Forest Management Bureau R, Manila, Philippines, pp. 92.
Online | Gscholar
(10)
Domingo SN, Manejar AJA (2018)
Forest protection in the Philippines. Discussion Paper Series no. 2018-53, Philippine Institute of Development Studies, Quezon City, Philippines, pp. 48-52.
Gscholar
(11)
Elith J, Graham CH, Anderson RP, Dudik M, Ferrier S, Guisan A, Hijmans RJ, Huettmann F, Leathwick JR, Lehmann A, Li J, Lohmann LG, Loiselle BA, Manion G, Moritz C, Nakamura M, Nakazawa Y, Overton Mc JC, Peterson AT, Phillips SJ, Richardson KS, Scachetti-Pereira R, Schapire RE, Soberón J, Williams S, Wisz MS, Zimmermann NE (2006)
Novel methods improve prediction of species’ distribution from occurrence data. Ecography 29 (2): 129-151.
CrossRef | Gscholar
(12)
Elith J, Leathwick JR (2009)
Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology Evolution and Systematics 40: 677-697.
CrossRef | Gscholar
(13)
Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, Yates CJ (2011)
A statistical explanation of MaxEnt for ecologists. Diversity and Distributions 17 (1): 43-57.
CrossRef | Gscholar
(14)
Finger A, Stolton S, Dudley N (1999)
Metals from the forests. Mining and forest degradation. IUCN and WWF, Gland, Switzerland. pp. 36.
Gscholar
(15)
Geronimo MC, Marie Grace Cabansag S, Agnes Reyes S (2016)
Indigenous utilization of resources and conservation practices of the Agta of Lupigue, Ilagan City, Isabela, Philippines. In: “EDUCARE” International Journal for Educational Studies, Minda Masagi Press and UMP PurwokertoBandung, Indonesia, Vol. 8 (2), pp. 115-128.
Online | Gscholar
(16)
Hair JF, Black WC, Babin BJ, Anderson RE (2014)
Multivariate data analysis. Pearson Education Limited, Harlow, UK, pp. 734.
Gscholar
(17)
Jones KR, Venter O, Fuller RA, Allan JR, Maxwell SL, Negret PJ, Watson JEM (2019)
One-third of global protected land is under intense human pressure. Science 360: 788-791.
CrossRef | Gscholar
(18)
Keane A, Jones JPG, Edwards-Jones G, Milner-Gulland EJ (2011)
Encounter data in resource management and ecology: pitfalls and possibilities. Journal of Applied Ecology 48: 1164-1173.
CrossRef | Gscholar
(19)
Kummer DM (1992)
Upland agriculture, the land frontier and forest decline in the Philippines. Philippine Agroforestry Systems Publications 18: 31-46.
CrossRef | Gscholar
(20)
Lasco RD, Pulhin FB, Sanchez PJ, Villamor GB, Villegas KAL (2008)
Climate change and forest ecosystems in the Philippines: vulnerability, adaptation and mitigation. Journal of Environmental Science and Management 11 (1): 1-14.
Gscholar
(21)
Liao Y, Lei Y, Ren Z, Chen H, Li D (2017)
Predicting the potential risk area of illegal vaccine trade in China. Scientific Reports 7 (1): 3883.
Gscholar
(22)
Mallari NMD, Jensen A (1993)
Biological diversity in norther Sierra Madre, Philippines: its implication for conservation and management. Asia Life Sciences 2 (2): 101-112.
Gscholar
(23)
Merow C, Smith MJ, Silander JA (2013)
A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography 36: 1058-1069.
CrossRef | Gscholar
(24)
Minter T, Van Der Ploeg J, Pedrablanca M (2014)
Limits to indigenous participation: the Agta and the Northern Sierra Madre natural park, the Philippines. Human Ecology 42 (5): 769-778.
CrossRef | Gscholar
(25)
Muscarella R, Galante PJ, Soley-Guardia M, Boria RA, Kass JM, Uriarte M, Anderson RP (2014)
ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for MAXENT ecological niche models. Methods in Ecology and Evolution 5: 1198-1205.
CrossRef | Gscholar
(26)
Muscarella R, Galante PJ, Soley-Guardia M, Boria RA, Kass JM, Uriarte M, Anderson RP (2017)
Package “ENMeval”, version 0.3.0. Web site.
Online | Gscholar
(27)
Phillips SJ, Dudík M, Schapire RE (2004)
A maximum entropy approach to species distribution modelling. In: Proceedings of the “21st International Conference on Machine Learning” (Greiner R, Shuurmans D eds). ACM Press, Banff, Canada, New York, USA, pp. 655-662.
Gscholar
(28)
Phillips SJ, Anderson RP, Schapire RE (2006)
Maximum entropy modelling of species geographic distributions. Ecological Modelling 190: 231-259.
CrossRef | Gscholar
(29)
Plumptre AJ, Fuller RA, Rwetsiba A, Wanyama F, Kujirakwinja D, Driciru M, Nangendo G, Watson JEM, Possingham HP (2014)
Efficiently targeting resources to deter illegal activities in protected areas. Journal of Applied Ecology 51 (3): 714-725.
CrossRef | Gscholar
(30)
R Core Team (2020)
R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
Online | Gscholar
(31)
Radosavljevic A, Anderson RP (2014)
Making better Maxent models of species distributions: complexity, overfitting and evaluation. Journal of Biogeography 41 (4): 629-643.
CrossRef | Gscholar
(32)
Remedio EM (2009)
An analysis of sustainable fuelwood and charcoal production systems in the Philippines: a case study. In: “Criteria and indicators for sustainable woodfuels: case studies from Brazil, Guyana, Nepal, Philippines and Tanzania” (Rose S, Remedio EM, Trossero MA eds), FAO, Rome, Italy, pp. 133-194.
Online | Gscholar
(33)
Rubas-Leal LC, Washington-Allen RA, Popescu SC, Conner JR (2017)
Estimation of above-ground biomass in Mt. Apo natural park in the Southern Philippines using terrestrial LiDAR system. BANWA Series B 12: res005.
Online | Gscholar
(34)
Torres AM, Pulhin FB, Lasco RD, Tiburan CL, Eslava DF (2016)
Modeling future spatial distribution of Shorea palosapis (Blanco) Merr and Shorea polysperma (Blanco) Merr in Northern Sierra Madre natural park using Maxent. Journal of Environmental Science and Management 2016 (1): 15-30.
Online | Gscholar
(35)
Tumaneng MR, Tumaneng R, Tiburan CL (2019)
Modeling species distribution of Shorea guiso (blanco) Blume and Parashorea malaanonan (blanco) Merr in mount Makiling forest reserve using Maxent. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 441-448.
Online | Gscholar
(36)
USAID/B+WISER (2018)
The Lawin forest and biodiversity protection system manual. Module 2: purpose-driven patrolling. Chemonics International Inc, Washington, DC, USA.
Online | Gscholar
(37)
Van Der Ploeg J, Van Weerd M, Masipiqueña AB, Persoon GA (2011)
Illegal logging in the Northern Sierra Madre Natural Park, the Philippines. Conservation and Society 9 (3): 202-215.
Online | Gscholar
(38)
Van Der Ploeg J, Masipiquena AB, Bernando EC (2003)
The Sierra Madre mountain range: global relevance, local realities. In: Proceedings of the “4th Regional Conference on Environment and Development” (van der Ploeg J, Masipiquena AB, Bernando EC eds). CVPED, Isabela, The Philippines, pp. 443.
Gscholar
(39)
Zhang K, Yao L, Meng J, Tao J (2018)
Maxent modeling for predicting the potential geographical distribution of two peony species under climate change. Science of The Total Environment 634 (10): 1326-1334.
CrossRef | Gscholar
 

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