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Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia Taking stock of smallholder and community forestry: Where do we go from here? Picture 4 24 - 26 March 2010, Montpellier, France by Cécile BILLARD Msc. Degree in Forest Ecology and Management University of Freiburg, Germany
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Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Jul 01, 2015

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Cécile BILLARD

Presentation for the conference on
Taking stock of smallholders and community forestry
Montpellier France
March 24-26, 2010
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Page 1: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Taking stock of smallholder and community forestry: Where do we go from here?

Picture 4

24 - 26 March 2010, Montpellier, France

by Cécile BILLARDMsc. Degree in Forest Ecology and ManagementUniversity of Freiburg, Germany

Page 2: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Introduction

Framework: the AMAZ-ES Project (Biodiversity of Amazonian Landscape, Socio-economic drivers and Production of ecosystem goods and services)

Transdisciplinary project supported by the French National Agency for Research (ANR)

French-Colombian-Brazilian partners (sociology, economy, agronomy, ecology & modelling)

2 countries, 6 communities, 300 households Amazonian basin VS. Different socio-economical contexts Colonisation VS. Demographic pressure

How do national & regional policies affect ecosystems ?

Research issue Modelling the interactions between society and the environment Developing tools adapted to modelling complex systems

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Page 3: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Location State of Para, Brazil Community of Palmares II

Community of Landless Rural Workers Context of settlement:

Previous fazenda invaded by MST (90’s) Eldorado dos Carajás massacre in 1996 Official settlement of 517 families in 1997 Expropriated land of 15 850 ha

Context of forest margin colonization

An equal distribution of land Lots of 25ha each (1000 x 250 m) Small scale & diversified agriculture : crops, pastures, fallows, homegardens

Study area

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Page 4: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Objectives & hypotheses

Objectives

To assess & explain the landscape dynamics over time To describe the current land cover To quantify agricultural & forest changes

To identify these changes at the household-level

To test the influence of social and economical factors on land use changes

Main Hypotheses Specific social & economical characteristics of local people influence land

use decision at the household-level

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Page 5: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Satellite imagery of years 1986, 1992, 2001 & 2007 Field survey (modelling team) to determine each landscape

element in 2007

Spatio-temporal analysis of land use and land use changes

Supervised classification of the 4 images to quantify & describe the actual land cover and the land use changes since 1986

Landscape analysis: typology of the lanscape elements (field & remote sensing) & Model of the dynamic of succession over time

Typology of land use changes at the household-level (land register)

Grouping farms with similar pattern (PCA & Cluster dendrogram)

Material & methods

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Page 6: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Socio-economical data collected at the household-level Field survey (sociology team) in 2007 Collection of quantitative (age of the household’s chief, …) and

qualitative (level of study, …) datas: 51 households

Socio-economical analysis General and detailed (for each type) description of the households,

based on socio-economical variables

Material & methods

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Page 7: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Cadastral map of Palmares (land register) 3 Sub-windows of 17 households To cross land use changes and socio-economical

parameters

Statistical analysis Sample of 44 households Quantitative (economical variables social indicators,

land use, land use changes) and qualitative (social indicators) variables

Correlation analysis: to quantify the influence of these variables on land use changes and deforestation

Material & methods

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Relationship between land use changes and socio-economical parameters

Focus on recent land use changes 2001-2007Focus on deforestation rates

Page 8: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Results of classifications

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1986 20011992 2007

Gain in precision & complexity over time

Page 9: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Landscape analysis

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Composition of agricultural lot in 2007:

- 50% forested- 16% fallows- 15% multi-stratified plantations- 11% pastures- 8% bare lands

Deforestation rates: 45% of each forested lot was converted into non forest areas between 1986-2007

Most of the changes occured between 2001-2007

Land use change at the sub-windows’ scale

Page 10: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Typologie of the farmer’s land use over time

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6. Dynamic of regrowth

4. Dynamic of forest conversion into multi-stratified plantations (and pastures)

5. Active dynamic of forest burning (advanced stage)

2. Recent dynamic of forest burning (first stage of forest degradation)

7. Active dynamic of forest conversion into a mosaic of plantations, fallows and pastures

3. Development of agricultural practices(low impact on forests)

Axis 1

Axe

2

Axe 1 PASTUREFOREST

Axe

2BU

RNED

FO

RES

TS

1. Recent dynamic of agricultural progression(forest degradation)

PLA

NTA

TIO

NS

Identification of 7 dynamics of land use changes

Page 11: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

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Type 6: Dynamic of regrowth traducing pasture and bare lands abandon and the progression of multi-stratified plantations

Type 1: Recent dynamic of agricultural progression, especially pastures and multi-stratified plantations, at the detriment of the forest which was already exploited

Description of the types

Recent land use changes (2001-2007) at the household-level

Page 12: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

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Page 13: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Results of the correlation analysis

Household features influencing land-use decisions

Negative correlation AMOUNT OF INCOMES

deforestation rates & forest cover changes LEVEL OF STUDY

pasture cover PRODUCTIVE CAPITAL FOR CATTLE RANCHING DURATION OF STAY

Bare and/or burned lands cover

Positive correlation AMOUNT OF CREDIT

fallow cover (especially with non-refundable credits)

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Page 14: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Understanding of social, economical & political drivers and their influence on land use decisions of smallholders Specific parameters do influence land use decisions Time effect of household trajectories (life cycle)

New insight provides a reliable basis for drawing up local and regional sustainable management policies

for a more sustainable resources management need for forest margin consolidation and remaining forest

conservation

Conclusion

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Page 15: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

THANKS for your attention!

For more information:

Cécile BILLARDMsc. Degree in Forest Ecology & ManagementUniversity of Freiburg – [email protected]

Valéry GONDCIRAD – ES, UPR 105 Biens et services des écosystèmes forestiers tropicauxCampus de Baillarguet TA C-105/D-21434398 Montpellier Cedex 5Tel : (33) 4 67 59 37 87Projet : http://www.coforchange.eu/

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Page 16: Remote sensing, social and economical data to understand agricultural land cover dynamics in eastern Amazonia

Typology of land use changes

Determination of 4 main dynamics -Empirical model-

A dynamic of deforestation and forest degradation, especially by burning

A dynamic of land exploitation by burning

A dynamic driven by the development of agricultural activities

A dynamic of secondary growth or natural regeneration

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