DEFORESTATION PATTERNS IN THE SOUTHERN BRAZILIAN AMAZON WATERSHEDS

被引：1

作者：

Kamir, Elisa ^{[1
]}

Arvor, Damien ^{[1
]}

Rollet, Anne-Julia ^{[1
]}

Dufour, Simon ^{[1
]}

Silgueiro, Vinicius ^{[2
]}

Dias, Andre Pereira ^{[3
]}

da Silva Junior, Carlos Antonio ^{[4
]}

Betbeder, Julie ^{[5
]}

机构：

[1] Univ Rennes 2, CNRS, LETG, UMR 6554, Rennes, France

[2] Inst Ctr Vida, Alta Floresta, MT, Brazil

[3] Secretaria Estado Meio Ambiente Mato Grosso, Cuiaba, MT, Brazil

[4] UNEMAT, Sinop, MT, Brazil

[5] CIRAD, Forets & Soc, Montpellier, France

来源：

2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022) | 2022年

关键词：

Amazon; MapBiomas; hydrosystems; riparian vegetation; MATO-GROSSO; LAND; EXPANSION; PASTURE; FOREST;

D O I：

10.1109/IGARSS46834.2022.9883067

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

The rapid expansion of a very active agricultural frontier in the Southern Brazilian Amazon induces high deforestation rates that influence local to global water cycles. In this study, we analysed landscape indicators derived from Brazilian MapBiomas land use maps in order to assess deforestation patterns in watersheds dominated by crop or pasture lands. Our results indicate that the proportion of forest is on average higher in watersheds where pasture prevails (53,7%) compared to watersheds where soybean prevails (42,4%). On the contrary, we also found that riparian buffers in soybean dominant watersheds are better preserved (75,7% covered by forest) than in pasture dominant watersheds (60,0% of forested area). Finally, we emphasize the benefit of monitoring land use impacts on stream reach scale, as new remote sensing technologies are under development.

引用

页码：5808 / 5811

页数：4

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