Superficie totale des terres [1]
51,253 km² 65.9 % Forêt
Tendance à la déforestation
6.8 % 2016
Zone forestière originale [2]
37,637 km²
Zone forestière actuelle [3]
33,784 km² 0.236 % du total mondial
Superficie totale déboisée
3,853 km²
Carbone forestier total
263 M MtC 0.165 % du total mondial
La description

Located in the northeastern part of Peru, the Region of San Martin has an area of 51,253 km², more than 60 percent of which is covered in forest. The San Martin region is actively engaged in jurisdictional partnerships to reduce deforestation including the Governors’ Climate and Forests (GCF) Task Force and the Under2Coalition. The region has also made ambitious commitments to reducing deforestation and combating climate change and has signed the Rio Branco Declaration and endorsed the Under2Mou.San Martin is a founding member of the Amazon Interregional Council (CIAM), and has signed the Declaration of Guadalajara that reaffirms the commitment of the Amazonian regions of Peru to reduce deforestation and move towards sustainable development for the implementation of the actions of the Joint Declaration (DCI) on REDD+ of Peru, Norway and Germany.

San Martin has moved from commitment to action with a set of measures and policies which promote managing forests in a sustainable manner, reducing deforestation, and implementing a territorial approach to rural development.The regional government is advancing a Production - Protection and Inclusion approach which seeks to stimulate public and private investment to improve the livelihoods of rural producers while reducing deforestation, land trafficking, wildlife trafficking and mitigating and adapting to climate change.

Additional information can be found on the GCF Impact Platform.

Daniel Vásquez Cenepo
Manager of Regional Economic Development
Gerardo Cáceres Bardalez
Manager of the Regional Environmental Authority
Pedro Bogarin Vargas
Population de l'État / Province [4]
840,790 2.7 % de la population nationale
Population urbaine ou rurale [5]
Urbain 65.00 %
Rural 35.00 %
Groupes ethniques
Lamas (Llacuash) 16,929
Aguaruna (Aguajun) 3,956
Chayahuita 531
État / Province PIB [6]
PEN 5,586,000,000
Revenu annuel par habitant
PEN 6,558
Indice de développement humain [7]
Répartition du PIB
Other sectors 31.60 %
Agriculture, Livestock, Hunting and Forestry 26.40 %
Other service sectors 23.30 %
Commerce 12.00 %
Manufacturing 9.70 %
Principales exportations [8]
Café (75.9%); Cacao orgánico y otros principales (22.4%).
État de la forêt (1)
Types de végétation majeurs
Humid Mountain Forest 25,285 km²
Intervening Areas 14,132 km²
Others 6,554 km²
Humid low hills Forests 2,785 km²
Dry scrub 2,529 km²
La gestion des forêts [9]
Without defined tenure or other types of tenure without available data 16,484 km²
National Protected Areas 9,573 km²
Concessions for conservation 5,963 km²
Other forest concessions 4,815 km²
Timber forest concessions 2,713 km²
Native titled communities 2,160 km²
Regional Conservation Areas 1,499 km²
Private Conservation Areas - ACP 5 km²
Taux de déforestation [10]
Les moteurs de la déforestation

There are no official studies on deforestation causes in the jurisdiction of San Martín. However, Conservation International (CI) in 2013, conducted a study called "Historical analysis of deforestation in the San Martin region." This study names the most relevant causes of deforestation, and analyses drivers by geographic areas of San Martin.

In the case of the provinces of Moyobamba and Rioja, deforestation was due to "invasion, migration and leasing of lands of native communities". In the provinces of Lamas and San Martín, primary drivers were identified as "internal migration, the promotion of alternative crops" and "road projects". In Huallaga and Mariscal Cáceres, the study identified "forest concessions, migration, wood extraction, livestock activity, annual crops, cocoa crops" as causes of deforestation. And in Picota, land use change was found to be caused by "migratory advance for the development of agriculture towards the districts of Shamboyacu and Tres Unidos, the latter has the largest migratory flow in recent years". These results, while preliminary in nature, came from participatory workshops complemented with a limited amount of Remote Sensing.

(1) En raison des différentes approches méthodologiques et des années de référence, les champs de données sur l'état des forêts peuvent différer légèrement. Les sources de données pour chaque champ sonténumérées ci-dessous.
(INEI, 2012)
Geobosques 2016
Elaboración propia basada en información de SERNANP (2018), SERFOR (2018) y COFOPRI (2006) *Considera concesiones forestales vigentes. **Datos del 2012.